Free
Special Articles  |   December 2013
An Analysis of Methodologies That Can Be Used to Validate if a Perioperative Surgical Home Improves the Patient-centeredness, Evidence-based Practice, Quality, Safety, and Value of Patient Care
Author Affiliations & Notes
  • Thomas R. Vetter, M.D., M.P.H.
    Maurice S. Albin Professor
  • Nataliya V. Ivankova, Ph.D.
    Associate Professor, Department of Human Studies, School of Education
  • Lee A. Goeddel, M.D., M.P.H.
    Resident
  • Gerald McGwin, Jr., M.S., Ph.D.
    Professor, Department of Epidemiology, School of Public Health, University of Alabama at Birmingham, Birmingham, Alabama.
  • Jean-Francois Pittet, M.D.
    David H. Chestnut Professor, Department of Anesthesiology, School of Medicine
  • Received from the Department of Anesthesiology, University of Alabama at Birmingham, Birmingham, Alabama. Submitted for publication June 4, 2013. Accepted for publication July 30, 2013. Support was provided solely from institutional and/or departmental sources. The authors declare no competing interests.
    Received from the Department of Anesthesiology, University of Alabama at Birmingham, Birmingham, Alabama. Submitted for publication June 4, 2013. Accepted for publication July 30, 2013. Support was provided solely from institutional and/or departmental sources. The authors declare no competing interests.×
  • Address correspondence to Dr. Pittet: Department of Anesthesiology, School of Medicine, University of Alabama at Birmingham, 619 19th Street South, JT-926, Birmingham, Alabama 35249–6810. pittetj@uab.edu. Information on purchasing reprints may be found at www.anesthesiology.org or on the masthead page at the beginning of this issue. Anesthesiology’s articles are made freely accessible to all readers, for personal use only, 6 months from the cover date of the issue.
Article Information
Special Articles / Quality Improvement
Special Articles   |   December 2013
An Analysis of Methodologies That Can Be Used to Validate if a Perioperative Surgical Home Improves the Patient-centeredness, Evidence-based Practice, Quality, Safety, and Value of Patient Care
Anesthesiology 12 2013, Vol.119, 1261-1274. doi:10.1097/ALN.0b013e3182a8e9e6
Anesthesiology 12 2013, Vol.119, 1261-1274. doi:10.1097/ALN.0b013e3182a8e9e6
Abstract

Approximately 80 million inpatient and outpatient surgeries are performed annually in the United States. Widely variable and fragmented perioperative care exposes these surgical patients to lapses in expected standard of care, increases the chance for operational mistakes and accidents, results in unnecessary and potentially detrimental care, needlessly drives up costs, and adversely affects the patient healthcare experience. The American Society of Anesthesiologists and other stakeholders have proposed a more comprehensive model of perioperative care, the Perioperative Surgical Home (PSH), to improve current care of surgical patients and to meet the future demands of increased volume, quality standards, and patient-centered care. To justify implementation of this new healthcare delivery model to surgical colleagues, administrators, and patients and maintain the integrity of evidenced-based practice, the nascent PSH model must be rigorously evaluated. This special article proposes comparative effectiveness research aims or objectives and an optimal study design for the novel PSH model.

AN estimated 30 million major inpatient surgeries1,2  and 50 million ambulatory outpatient surgeries3,4  are performed annually in the United States. Widely variable and fragmented perioperative care plans, undertaken by different practitioners, currently expose these surgical patients to lapses in expected standard of care, increase the chance for operational mistakes and accidents, result in unnecessary and potentially detrimental care, needlessly drive up costs, and adversely affect the patient healthcare experience.5–9 
To address this fragmentation and depersonalization of surgical care, new approaches are needed that are more efficient and less costly yet emphasize the patient as the center of care.8–10  The medical community and public are increasingly embracing shared decision-making, a process by which healthcare choices are made jointly by the practitioner and patient.11–13  Akin to the Medical Home in outpatient primary care,10,14–16  the Surgical Home has been proposed by the American Society of Anesthesiologists (ASA)01 and others as an innovative, patient-centered, surgical continuity of care model that fully incorporates shared decision-making.8,17 
Like all areas of health care, the specialty of anesthesiology is also facing strong economic pressures which require a broader competitive strategy.8,18,19  Hospital-physician collaborations continue to evolve to include greater economic integration, including major financial gain and risk sharing.20,21  Furthermore, value-based purchasing of health care,22–24  pay for performance,25,26  and a changing payment paradigm that includes bundled payments or accountable care arrangements27  are all powerful motivators to improve the effectiveness and efficiency of patient care via a surgical home type model.8 
There will very likely be multiple future variations of the surgical home concept that may work effectively, depending on institutional infrastructure and yet to be identified external forces. However, at its essence, the Perioperative Surgical Home (PSH) model integrates the three well recognized, but heretofore frequently fragmented, preoperative, intraoperative, and postoperative phases of patient care (fig. 1).8  The PSH seeks to more intentionally engage the patient, family, clinicians, and other stakeholders, thereby enhancing the ability of patients to actively participate in shared decision-making concerning their surgical care. Fundamentally, the anesthesiologist-intensivist serves as the surgical patient’s “perioperativist”—the primary physician who provides seamless continuity of current best practices of care—while actively involving the patient, family, and other healthcare providers.8  In the PSH model, an anesthesiologist-intensivist works with a nurse practitioner to provide, coordinate, and integrate pre-, intra-, and postoperative care. This anesthesiology-based team is readily available throughout the perioperative continuum to address the patient’s questions or concerns about their care. This team also oversees the patient’s transitional plans on hospital discharge—initiated, however, preoperatively. Specifically, tenets of the Institute for Healthcare Improvement’s “How-to Guide: Improving Transitions from the Hospital to Home Health Care to Reduce Avoidable Rehospitalizations” are translated into the perioperative setting (fig. 2).28  A key element of this perioperative Transitional Care Model is a nurse clinician (or medical social worker) serving as the patient’s “perioperative transitions coach.”29,30 
Fig. 1.
Integration of care in the perioperative surgical home model with an anesthesiologist-intensivist serving as the “Perioperativist.”(Reproduced with permission from Vetter TR, Goeddel LA, Boudreaux AM, Hunt TR, Jones KA, Pittet JF: The Perioperative Surgical Home: How can it make the case so everyone wins? BMC Anesth 2013; 13: 6.8 ).
Image Not Available
Fig. 1.
Integration of care in the perioperative surgical home model with an anesthesiologist-intensivist serving as the “Perioperativist.”(Reproduced with permission from Vetter TR, Goeddel LA, Boudreaux AM, Hunt TR, Jones KA, Pittet JF: The Perioperative Surgical Home: How can it make the case so everyone wins? BMC Anesth 2013; 13: 6.8 ).
×
Fig. 2.
Modified institute for healthcare improvement roadmap for improving postoperative transitions in care after hospitalization and reducing avoidable rehospitalizations (readmissions). (Modified with permission from Sevin C, Evdokimoff M, Sobolewski S, Taylor J, Rutherford P, EA C: How-to guide: Improving transitions from the hospital to home health care to reduce avoidable rehospitalizations. Cambridge, MA, Institute for Healthcare Improvement, 2012. Available at www.IHI.org.28 ) Adaptations are themselves works protected by copyright. So in order to publish this adaptation, authorization must be obtained both from the owner of the copyright in the original work and from the owner of copyright in the translation or adaptation.
Image Not Available
Fig. 2.
Modified institute for healthcare improvement roadmap for improving postoperative transitions in care after hospitalization and reducing avoidable rehospitalizations (readmissions). (Modified with permission from Sevin C, Evdokimoff M, Sobolewski S, Taylor J, Rutherford P, EA C: How-to guide: Improving transitions from the hospital to home health care to reduce avoidable rehospitalizations. Cambridge, MA, Institute for Healthcare Improvement, 2012. Available at www.IHI.org.28 ) Adaptations are themselves works protected by copyright. So in order to publish this adaptation, authorization must be obtained both from the owner of the copyright in the original work and from the owner of copyright in the translation or adaptation.
×
The implementation of such a PSH model will likely also be an evolutionary process that varies across local practice environments. Because a given PSH evolves from the existing local model of care, different institutions may well adopt different elements at different rates, with variable emphasis on specific surgical populations (e.g., total joint replacement) or specific portions of the perioperative continuum of care (e.g., preoperative medical optimization and patient education and counseling). Although this article examines more complex surgical procedures requiring postoperative admission, the proposed outcomes and methodology are applicable to outpatient surgeries, endoscopic procedures, and routine obstetrical care—high-volume areas in which anesthesiologists can also provide needed greater integration and coordination of care.
The Institute of Medicine (IOM) has defined comparative effectiveness research (CER) as the “generation and synthesis of evidence that compares the benefits and harms of alternative methods to prevent, diagnose, treat, and monitor a clinical condition or to improve the delivery of care.”31,32  In 2009, the IOM established a national CER agenda.33  “Health Care Delivery Systems” was the highest ranked IOM CER priority.31  The proposed PSH model falls squarely in this highest ranked IOM CER category.
In obligatorily assessing whether a new PSH model is superior to current conventional surgical care, four specific, pertinent CER aims or objectives include whether the PSH results in (1) enhanced patient-centered care of the surgical patient; (2) greater clinician adherence to evidence-based patient management guidelines; (3) improved quality and safety of perioperative care; and (4) reduced overall cost and thus enhanced value. The other fundamental question is what is the optimal study design for the PSH model? Most importantly, such an ability to define, obtain, and analyze outcomes in a rigorous way will be essential to test the variety of surgical home models that will likely be trialed in the next few years as surgical paradigms evolve—especially in response to economic influences.
Patient-centered Care of the Surgical Patient
In assessing whether the PSH model results in greater patient-centered care of the surgical patient, initial primary patient-reported outcomes would include conventional perioperative (1) pain intensity; (2) health-related quality of life; (3) quality of recovery; and (4) patient satisfaction.
The assessment of pain intensity is essential for clinical trials and effective pain management. Acute pain can be measured, both at rest (important for comfort) and during movement (important for function and risk of postoperative complications), using a valid and reliable unidimensional self-reported pain intensity scale.34  Health-related quality of life has become a well-accepted primary outcome measure in clinical studies, including in surgical patients.35–40  Quality of recovery, when assessed in a patient-centered manner, provides an additional important information in postsurgical patients.41,42  If measured with a robustly developed and subsequently validated instrument, patient satisfaction is a standard indicator of the quality of delivered health care and can contribute to a comprehensive evaluation of the classic triad of structure, process, and outcome, including with existing and new perioperative services.43–46  Patient satisfaction is most validly measured sequentially and in close proximity to the delivered health care (i.e., the patient’s surgical experience).46  This would ideally involve measurements before or at the time of hospital admission, during the postoperative phase on the day of hospital discharge, and at 28 days postdischarge. Interviewing the same patients three times during their surgical care continuum will provide them with the opportunity to express their expectations of perioperative outcomes, discuss benefits and risks of available treatment options, identify patients’ unmet needs, and explore the relevance of the measured outcomes.47 
Undergoing a major surgical procedure is often one the most stressful events in an individual’s life. An independent, well-informed, and proactive person can become a dependent, passive, and bewildered patient in the very foreign and often ironically hostile healthcare environment. Thus a very appropriate question posed by many surgical patients is “What can I do to improve the outcomes that are most important to me?” This questions speaks directly to the fundamental tenet of patient–stakeholder engagement—specifically, how to define it and how to measure it.
According to the Agency for Healthcare Research and Quality, stakeholders are “persons or groups who have a vested interest in the clinical decision and the evidence that supports that decision.48  In the PSH model, stakeholders may include surgical patients, their families, and other lay caregivers, as well as anesthesiologists, surgeons, nurses, hospital administrators, and other professional healthcare providers. All these stakeholder groups, regardless of varied professional and personal interest in specific outcomes of patient’s perioperative surgical care, will likely have a vested interest in patient-centered health care and its associated outcomes. With the creation of the Patient-Centered Outcomes Research Institute by the Patient Protection and Affordable Care Act of 2010, CER has effectively been renamed “patient-centered outcomes research”—underscoring the goals and importance of person-centered medicine.49 
It seems important that stakeholder engagement in the evaluation of the PSH model implementation follows the key principles of community-based participatory research.50  These principles emphasize stakeholder participation, equal power, and joint planning.51  Participation underscores the involvement of community members (e.g., surgical patients, their family members, and other lay patient caregivers) in a specific project with shared ownership, from setting project objectives to disseminating project outcomes. Performing research in collaboration with those affected by the issue (e.g., the perioperative patient experience) for the purpose of taking action or making change increases the likelihood that research findings will be accepted and used.52 
Surgical patients and other invested stakeholders would ideally be involved in all phases of a PSH model—from the early stages of conceptualization and inception, to design and refinement of assessment instruments, data collection and analysis, and evaluation of project outcomes and related health benefits. Such active participation and collaboration will promote capacity building among all partners and will create an empowering environment for all stakeholders to equally contribute to the decision-making and control over all stages of the healthcare delivery process and the assessment of risks and benefits of the PSH model.53  A set of strategies have been recommended to ensure stakeholders’ consistent engagement with the project and active dissemination and implementation of the results (table 1).48,54,55 
Table 1.
Strategies to Ensure Stakeholders’ Consistent Engagement with the Project and Active Dissemination and Implementation of the Results48,54,55
Strategies to Ensure Stakeholders’ Consistent Engagement with the Project and Active Dissemination and Implementation of the Results48,54,55×
Image Not Available
Table 1.
Strategies to Ensure Stakeholders’ Consistent Engagement with the Project and Active Dissemination and Implementation of the Results48,54,55
Strategies to Ensure Stakeholders’ Consistent Engagement with the Project and Active Dissemination and Implementation of the Results48,54,55×
×
Assessment of stakeholders’ views can best be achieved using a mixed-method (integrated qualitative and quantitative) approach, as set forth in the “Best Practices for Mixed Methods Research in Health Sciences” commissioned by National Institutes of Health Office of Behavioral and Social Sciences Research.56  Collecting and meaningfully integrating data from qualitative narratives and quantitative measures allow exploring the views of all engaged stakeholders from multiple perspectives and in various phases in the project implementation and evaluation. For example, patients’ and caregivers’ experiences with provided health care can be explored by individual interviews at several stages in the perioperative care process to understand patients’ needs and expectations for preoperative, intraoperative, and postoperative patient care, to assess the relevance of the above a priori chosen conventional patient-centered outcomes, and to enhance patients’ engagement in shared decision making about their health care. Similarly, interviews of focus groups with professional healthcare providers can help solicit their input into the effectiveness of the PSH model and to enhance the establishment of outcomes that are patient-centered and that are tailored to patients’ personal characteristics, conditions, preferences, and needs.
Mixed-method approach would be particularly useful in developing new assessment tools to measure patient satisfaction with perioperative care that are tailored to their personal (individual) characteristics, conditions, preferences, and needs.10  Applying mixed methods to assessing patient satisfaction with perioperative health care entails an initial qualitative exploration of stakeholders’ views through patient interviews and/or focus groups and using the emerging themes to inform the subsequent development, testing, and validation of the quantitative questionnaire by administering it to a large sample. The procedural steps have been defined for developing a satisfaction instrument grounded in the views of surgical patients using a mixed-method approach (fig. 3).10  Finally, integrated qualitative and quantitative results from different stages in the PSH model implementation can be used for a summative evaluation of the model and an assessment of its effectiveness by patients, various healthcare providers, and other stakeholders.57 
Fig. 3.
Procedural steps for mixed methods instrument development. (Reproduced with permission from Vetter TR, Ivankova NV, Pittet JF: Patient satisfaction with anesthesia: Beauty is in the eye of the consumer. Anesthesiology 2013; 119: 245–7.10 )
Image Not Available
Fig. 3.
Procedural steps for mixed methods instrument development. (Reproduced with permission from Vetter TR, Ivankova NV, Pittet JF: Patient satisfaction with anesthesia: Beauty is in the eye of the consumer. Anesthesiology 2013; 119: 245–7.10 )
×
Clinician Adherence to Evidence-based Patient Management Guidelines
In assessing whether the PSH model results in greater clinician adherence to evidence-based patient management guidelines and thus provision of current best practices, examples include those set forth by: (1) the American College of Chest Physicians for the perioperative management of antithrombotic therapy and the prevention of thrombosis in patients who require an elective surgery or procedure;58  (2) the Heart Rhythm Society/ASA on the perioperative management of patients with implantable defibrillators, pacemakers, and arrhythmia monitors;59  (3) the ASA for the perioperative management of acute pain;60  (4) the ASA for the perioperative management of patients with obstructive sleep apnea;61  (5) the Society of Ambulatory Anesthesia for the for the management of postoperative nausea and vomiting;62  (6) the American College of Cardiology/American Heart Association for perioperative cardiovascular evaluation and care for noncardiac surgery, including perioperative β-blockade;63,64  (7) the European Society of Cardiology for the preoperative cardiac risk assessment and perioperative cardiac management in noncardiac surgery;65  and (8) the Society for Advancement of Blood Management,02 the Network for Advancement of Transfusion Alternatives,66,67  and the American Association of Blood Banks68  for perioperative anemia and blood management.
A patient-centered approach to surgical patient blood management has been advocated by the ASA.69  Associated concerted efforts may thus be better termed, patient-centered blood management,69  to reflect the increasing emphasis on patient-centeredness in other areas of medicine and the consumer-perspective of health care.10,70,71  Additional patient-centered outcomes in the PSH model would thus, for example, be those associated with state-of-the-art patient-centered blood management and include (1) the immediate preoperative complete cell blood count; (2) the postoperative complete cell blood count at the time of hospital discharge; (3) the total number of units of packed erythrocyte units administered intraoperatively, postoperatively during the initial surgical hospitalization, and during the first 30 days after hospital discharge; and (3) clinician adherence to recently published guidelines on blood transfusion criteria (i.e., triggers).
Quality and Safety of Perioperative Care
In assessing whether the PSH model results in improved overall quality and safety of perioperative care, additional primary outcomes would include (1) perioperative mortality; (2) perioperative complications; (3) failure-to-rescue (FTR) rate; (4) a subset of current national performance metrics; (5) admission rate to an intensive care unit; (6) readmission rate to an intensive care unit from a regular inpatient unit; (7) length of stay in an intensive care unit and in the hospital; (8) readmission rate to the hospital after discharge home; and (9) not-present-on-admission diagnostic codes (International Classification of Diseases) that are indicative of potential complications. Several of these quality and safety outcomes also have current and future reimbursement and thus fiscal ramifications.
Reported surgical death rates vary widely across hospitals in the United States, from 3.5% in very-low-mortality hospitals to 6.9% in very-high-mortality hospitals.72  Payers (e.g., Centers for Medicare and Medicaid Services), regulators (e.g., The Joint Commission), and providers are currently focusing on ways of reducing postoperative complications, which may be one approach to reducing this observed variability in surgical mortality. However, based on Medicare administrative beneficiary data from 2005 to 2006, complication rates in patients undergoing major inpatient surgical procedures were similar at the worst and best hospitals (36.4 vs. 32.7%), but the worst hospitals had mortality rates 2.5-fold higher than the best hospitals.73  The above reported administrative data72,73  may have suffered from misclassification bias away from the null due to larger and well-endowed hospitals more accurately reporting adverse outcomes, as well as existing financial incentives to collect and to report multiple comorbidities.
One plausible explanation for this disparate mortality is FTR. FTR was first defined in 1992 by Silber et al.74  as hospital deaths after adverse events such as postsurgical complications.75  In 2001, IOM identified FTR as one of the key areas for improvement in patient safety.75,76  Contributors to FTR have been broadly categorized as the lack of a timely response (prompt recognition of the complication) and an appropriate response (correct management and treatment).72,73,75  In the above Medicare surgical cohort, overall FTR rates were higher (16.7 vs. 6.8%) at the worst compared with the best hospitals—but differed by as much as 4.0 versus 50.8% for major abdominal surgery.73  The highly coordinated and integrated care provided by the PSH model should allow for a timelier and more appropriate response to patient physiologic derangement, thus reducing the FTR rate, major complications, and associated surgical morbidity and mortality.72,73,75 
Numerous healthcare quality and safety metrics have been put forth by various healthcare agencies, including (1) the Appropriate Care Measures and Hospital-Acquired Conditions from the Centers for Medicare and Medicaid Services;77  (2) the interventions and outcomes from the Surgical Care Improvement Project;78,79  (3) major surgical complications from the American College of Surgeons National Surgical Quality Improvement Program;80  (4) the National Patient Safety Goals from The Joint Commission;81  and (5) the Patient Safety Indicators from the Agency for Healthcare Research.82  The majority of the Centers for Medicare and Medicaid Services Appropriate Care Measures are not applicable to our proposed perioperative patient care model. The effect of Surgical Care Improvement Project adherence in lowering surgical site infection rates at the patient or hospital level has recently been challenged.83–85  The National Patient Safety Goals from The Joint Commission lack adequate surgical specificity.
Therefore, for the purposes of comparing the quality, safety, effectiveness, and efficiency of perioperative care delivered in the PSH model versus current typical surgical care, a combination of conventional perioperative complications, Agency for Healthcare Research and Quality Patient Safety Indicators, Centers for Medicare and Medicaid Services Hospital-Acquired Conditions, and elements from Surgical Care Improvement Project and National Surgical Quality Improvement Program (table 2) appear to be the most appropriate quality and safety variables in assessing the effect of the PSH model.
Table 2.
Quality and Safety Variables to Be Applied in Assessing the Effect of the Perioperative Surgical Home Model
Quality and Safety Variables to Be Applied in Assessing the Effect of the Perioperative Surgical Home Model×
Image Not Available
Table 2.
Quality and Safety Variables to Be Applied in Assessing the Effect of the Perioperative Surgical Home Model
Quality and Safety Variables to Be Applied in Assessing the Effect of the Perioperative Surgical Home Model×
×
Many of the above-mentioned perioperative outcomes data and performance metrics are currently being collected by individual hospitals in their efforts to meet various national benchmarking, pay-for-performance, and value-based purchasing payment criteria.77  However, national quality and safety registries are other valid sources for anesthesia care–related data and might prove less costly and redundant than specific institutional research efforts. Registry data may be an important CER pathway going forward—especially for a timely, pragmatic assessment of the efficacy of the PSH. The Anesthesia Quality Institute and its National Anesthesia Clinical Outcomes Registry,03 which are developed and maintained with a major support from the ASA, is a prime example of such a well-established, consensus-based national quality and safety registry. The Michigan Surgical Quality Collaborative is another such national registry.‡‡04 
Of note, there is a common tension between locally developed (“homegrown”) quality and safety measures versus the use of national metrics and attendant benchmarking. Such locally developed metrics may more accurately reflect the surgical population being studied and the practically available information technology infrastructure. Multicenter collaboratives and national quality and safety registries (e.g., Anesthesia Quality Institute) can facilitate creation and adoption of common definitions.86 
To aggregate complications and to stratify them by severity, the revised Clavien-Dindo Classification of Surgical Complications (table 3),87,88  which grades surgical complications (I, II, IIIa, IIIb, IVa, IVb, and V) based on the therapy used to treat the complication, could plausibly also be applied in assessing the effect of the PSH model. This classification system can account for very serious adverse events (e.g., anaphylaxis, malignant hyperthermia, and intraoperative cardiac arrest) that might not result in a permanent adverse outcome but nonetheless should be captured. The Clavien-Dindo Classification System has been successfully applied in gastrointestinal surgery,89,90  gynecology,91,92  orthopedics,93  and urology.94,95 
Table 3.
The Revised Clavien-Dindo Classification of Surgical Complications to Be Applied in Assessing the Effect of the Perioperative Surgical Home Model87,88
The Revised Clavien-Dindo Classification of Surgical Complications to Be Applied in Assessing the Effect of the Perioperative Surgical Home Model87,88×
Image Not Available
Table 3.
The Revised Clavien-Dindo Classification of Surgical Complications to Be Applied in Assessing the Effect of the Perioperative Surgical Home Model87,88
The Revised Clavien-Dindo Classification of Surgical Complications to Be Applied in Assessing the Effect of the Perioperative Surgical Home Model87,88×
×
Reduced Cost and Enhanced Value
In assessing whether the PSH model results in reduced overall cost and thus enhanced value, potential outcomes include (1) total direct medical costs of the surgical procedure, anesthesia services, and related hospitalization(s); (2) the rate of surgical case delays and surgical case cancellations on the day of surgery; (3) the duration of specific surgical procedures; (4) the duration of postanesthesia care unit stay; and (5) other pertinent operational and fiscal measures (e.g., unplanned postoutpatient procedure admission, allogeneic blood transfusion rates for cardiac surgery).
Aggregate healthcare expenditures are projected to increase in the United States from $5,572 per capita (15.9% of gross domestic product) in 2005 to $8,832 per capita (2005 dollars) in 2025 (25.2% of U.S. gross domestic product).96  Specifically, aggregate surgical expenditures in the United States are expected to grow from $572 billion in 2005 (4.6% of U.S. gross domestic product) to $912 billion (2005 dollars) in the year 2025 (7.3% of U.S. gross domestic product).96  Thus not surprisingly, prospective healthcare initiatives will focus not only on quality and safety but also on delivering cost-effective care or enhanced value.97  Value in health care, including with anesthesia and surgical services, is broadly defined as the patient health outcomes achieved per dollar spent.10,24,98 
Efforts to provide enhanced patient care in the PSH model, while controlling unnecessary or wasteful healthcare expenditures, will presumably deliver “high-value, cost-conscious health care.”99  Whether an intervention like the PSH provides such high value is predicated on assessing whether its associated improved health benefits justify its (added) costs.100,101  There are three key concepts in understanding how to assess the value of new versus existing health care interventions.100,101  First, assessing the benefits, harms, and costs of an intervention is essential to understand whether it provides a good value. Second, assessing the cost of an intervention should include not only the cost of the intervention itself but also any downstream costs that occur because the intervention was performed. Third, the incremental cost-effectiveness ratio estimates the additional cost required to obtain additional health benefits and provides a key measure of the value of a healthcare intervention.99–101 
Full healthcare economic evaluation techniques conventionally include cost-minimization analysis, cost–benefit analysis, cost–effectiveness analysis, and cost–utility analysis.101–106  A cost–utility analysis is a cost–effectiveness analysis that measures outcomes using quality-adjusted life years or another similar measure. Such full economic evaluations require that two or more therapeutic interventions be compared in relation to both their costs and effects.103,107  The six fundamental steps in undertaking a full economic evaluation include: (1) identify the perspective of the study; (2) identify the alternatives that will be compared; (3) identify the relevant costs and effects; (4) determine how to collect the cost and effect data; (5) determine how to perform calculation for cost and effects data; and (6) determine the manner in which to depict the results, draw comparisons, and make conclusions.101,103,107,108 
With proper planning, a full healthcare economic evaluation can be validly performed and reported alongside a clinical trial.100,109–113  However, given the logistical challenges of such a conjoint study,114  researchers often combine previously published cost and clinical outcomes data to create a decision-analysis model.100,115  The validity of such studies depends on how well the model reflects the key clinical issues and on the reliability of the parameters used to estimate costs, outcomes, and health status utilities.101  Sensitivity analyses are therefore critical for understanding how reported conclusions might change depending on the variability or uncertainty in key parameters.101 
Methodologic Considerations for the Evaluation of the PSH Model
In assessing whether the new PSH model is superior to current conventional surgical care, a fundamental question is what is the optimal study design? Related issues include the use of composite outcomes as well as the need for a clinical proof-of-concept (PoC) study data before advocating wider implementation of this model.
Optimal Study Design
Randomized Controlled Trial.
The randomized controlled trial (RCT) has been viewed as the de facto “definitive standard” of clinical trial design for evaluating the efficacy and safety (risk vs. benefit) of a treatment or intervention.116–118  The primary feature underlying the RCTs prominence is the ability to randomize study participants thereby dramatically reducing the opportunity for confounding, by both known and unknown factors, and thereby increasing internal validity relative to observational study designs.116,119  However, it is important to note that well-designed and executed observational studies have been shown to yield equally valid results with the added benefit of addressing the effectiveness of a population-based or systems-based intervention like the PSH model, in a more “real-life” and thus externally valid setting.120,121 
Nonetheless, the RCT design is a reasonable choice for assessing many important questions related to the PSH model. There are a number of other RCT designs, which may, on a situational basis, be more appropriate to apply in conducting human research (e.g., the comparative effectiveness of the PSH model).122  Thus although the main Consolidated Standards of Reporting Trials Statement is focused on the typical two-group parallel RCT design,123  there are several different types of randomized trials, some of which have different fundamental designs, as well as types of interventions and data, for which specific Consolidated Standards of Reporting Trials Extensions exist.123–125 
With respect to evaluating the PSH model, a cluster randomized trial (CRT) is the most suitable RCT design. Individual clinicians, group practices, clinics, hospitals, health plans, or even geographic regions (counties or states) can be defined as the clusters. In a CRT, all individuals within a given cluster are assigned to the same study arm.126  The methodology of CRTs has been widely discussed.127–129  The applicability of the CRT to the PSH model is largely attributable to the fact that it would be impractical for a given institution to modify its process of care on a patient-by-patient basis.
In addition, when evaluating a new therapy, or care model like the PSH, unlike a standard RCT, a CRT typically focuses on effectiveness by evaluating outcomes under conditions of actual use. A CRT is often done when individual randomization is not feasible. A CRT can also offer considerable cost and time efficiencies when implemented by a health system or health insurance plan that has extensively existing information about its members’ characteristics, treatments, and outcomes, along with a robust existing research infrastructure.126  A CRT design could thus be applied in a comparative study of the PSH model if a sufficiently large number of separate clusters (i.e., individual healthcare delivery sites) could be identified and enrolled.
However, compared with individually randomized trials, CRTs are more complex to design, require more participants to obtain equivalent statistical power, and require more complex analysis (e.g., adjustment for the intracluster correlation coefficient of the cluster randomization).130–132  A CRT is also typically not blinded. Thus not surprisingly, the use of this trial design has been fraught with challenges, undermining the validity of some published findings.131,133 
Cohort Study.
As noted above, observational study designs can yield valid results often in a more timely and cost-efficient manner and have greater ability to measure effects under “real world” clinical settings.134,135  Specifically, an observational prospective cohort study can assess in representative populations the comparative effectiveness of interventions (e.g., the PSH) to reduce risk from coexisting diseases, prevent adverse events, and improve patient-centered outcomes—once again in settings typically encountered in clinical practice.135,136  An observational prospective cohort study design could also readily assess shared clinician-patient decision-making, a salient feature of the PSH model.135  Cohort study methodology has been widely discussed.116,137–144  Specifically, guidelines have been promulgated STrengthening the Reporting of OBservational studies in Epidemiology Initiative for analytic observational studies.145,146 
A cohort study design has several advantages in comparative effectiveness studies, including one comparing status quo surgical patient care with a new PSH model. By applying the active perioperative interventions at the clinic and hospital level, a cohort study would more readily investigate these therapeutic interventions under conditions of actual use. Furthermore, a prospective cohort study design is preferable in a setting where individual randomization is not feasible. For the purposes of studying the PSH, prospective outcomes data would be collected on a group of surgical patients, who receive their care after the implementation of the PSH model, and compared with those receiving conventional perioperative care. Given the relatively short timeframe (e.g., 30–90 days) of a perioperative study, differential attrition would not be expected to be a major concern (though it should be noted that such differential attrition is also a concern in an RCT). However, it will be necessary to explore and address confounding by first adjusting conducting stratified analyses according to (1) the indications for the surgical procedure (2) the presence of known risk factors for postoperative complications, specifically, the level of risk associated with the surgical procedure, and the presence of coronary artery disease, congestive heart failure, hypertension, cerebrovascular disease, diabetes mellitus, chronic renal insufficiency, chronic liver disease, and chronic obstructive pulmonary disease and, in the absence of differential effects, adjust for any characteristics that appear to act as confounders.
Composite Outcomes
A recent trend in clinical trials and some observational studies is the increasing use of composite outcomes,147  which may be applied to assessing the comparative effectiveness of a new PSH model. A composite outcome is comprised several separate yet related component outcomes (e.g., death, myocardial infarction, atrial fibrillation, congestive heart failure).147,148  These components should be a parsimonious set of individual outcomes, which when taken together, well represent the disease of interest (e.g., perioperative morbidity and mortality) and are very plausibly related to the intervention (e.g., the PSH model).149  A study subject is considered to have experienced the binary (dichotomous) composite outcome if one or more of the component outcomes occur.147,150 
Advantages to using composite outcomes include a reduction in required sample size to achieve adequate power and simplifying data presentation.147,151  The former is particularly relevant if an individual major outcome is rare yet the statistical power of a realistically sized trial is inadequate to demonstrate a statistically significant treatment difference.149  If many or all of the purported benefits of the PSH are considered clinically important and thus could influence the wider adoption of this nascent patient care model, it would be difficult to identify any single one as the primary clinical outcome.147  In contrast, a composite outcome would allow investigators of the PSH to report a broader but equally valid array of benefits (or harms).
However, the use of composite outcomes in trials can be problematic.150  Components are often unreasonably combined, inconsistently defined, and inadequately reported, resulting in an exaggerated observation of how well interventions work.152  Three major caveats with a composite outcome are that its individual components are similarly important to patients; occur with similar frequency; and are affected to a similar degree by the intervention.148  This assumed homogeneity of effect across its component outcomes can be substantiated by the concomitant reporting of data for each of the component elements as secondary outcomes.147 
PoC Study
A parallel can be drawn between the development of a new PSH model and the development of a new drug. PoC typically refers to early studies in clinical drug development, conventionally designated as phase I and phase IIa.153  Unlike a confirmatory RCT that is required for regulatory drug approval, a PoC trial is exploratory in nature, and designers of such trials have the liberty to choose the type I error rate and the power.154  However, the selection of clinical endpoints and their effect size, as well as choice of type I and type II error rates, are often at the center of heated debates in the design of PoC trials.155  A PoC trial also supports a so-called “Go-No Go” decision for further drug development.155  Clinical PoC (CPoC) has been defined as: “The construction of working prototypes of the necessary functionality and infrastructure in sufficient quality to investigate evidence for improving health in daily use for a suitable period of time; a limited but relevant set of people [patients] serving as [study] subjects.”§§05 
An initial, limited scale CPoC study could be appropriately undertaken at one’s institutional level to determine the operational and fiscal viability of further development and deployment (Go-No Go decision) of a novel yet nascent PSH model for the management of surgical patients. The particular clinical endpoints that may make up a CPoC trial for the PSH are a point of active discussion and may include the collection of clinical outcomes proposed in this article, in addition to those recommended by patients, focus groups, institutional committees, payers, and other stakeholders. Permutation P value trend analysis has been used in CPoC trials to evaluate trends collectively across multiple endpoints. This decreases the likelihood of type II error in trend interpretation as a trend in one endpoint is more likely due to chance than trends in multiple endpoints.156  Finally, the CPoC process emphasizes the identification of previously unforseen challenges and pitfalls unique to each particular environment to save time and resources and improve efficiency when a more robust trial is implemented.§§05 
Conclusions
The PSH model seeks to deliver a highly patient-centered, anesthesia-led yet interdisciplinary, and team-based system of coordinated care, which guides the patient throughout the entire surgical continuum, from the decision for the need for a surgery to discharge from a medical facility and beyond. By implementing evidence-informed best practices, standardization of processes where applicable, shared decision-making, and management accountability by a single coordinating service, patients are likely to get the most appropriate care possible.8  Eliminating overuse, underuse, and misuse of perioperative care may also lead to better outcomes at a lower cost—the definition of added value.8  However, such value assessments should be ongoing and result not only in the initial implementation of the surgical home concept but also its continued successful evolution. Traditional financial, patient, and surgical metrics will likely have to be redefined to accurately assess new definitions of value.
Nevertheless, the onus is clearly on the advocates and early adopters of this nascent alternate care model to demonstrate its ability to achieve its various espoused goals and objectives. Toward that end, it is prudent to capture the experience of these early adopters in the context of an observational cohort study for the purposes of not only establishing preliminary evidence for the effectiveness of the PSH model but also for providing pilot data necessary for the design of a CRT. This approach will allow a sufficient number of geographically distinct PSHs that would be required for such a trial to become well-established—likely in 3–5 yr.
#American Society of Anesthesiologists. The perioperative or surgical home. Available at: http://www.asahq.org. Accessed May 10, 2012.
American Society of Anesthesiologists. The perioperative or surgical home. Available at: http://www.asahq.org. Accessed May 10, 2012.×
**Society for Advancement of Blood Management (SABM). What is patient blood management? Available at: http://www.sabm.org/. Accessed October 12, 2012.
Society for Advancement of Blood Management (SABM). What is patient blood management? Available at: http://www.sabm.org/. Accessed October 12, 2012.×
††Anesthesia Quality Institute. About us. Available at: http://www.aqihq.org/. Accessed July 12, 2013.
Anesthesia Quality Institute. About us. Available at: http://www.aqihq.org/. Accessed July 12, 2013.×
‡‡Michigan Surgical Quality Collaborative. Program overview. Available at: http://www.msqc.org/about_program_overview.php. Accessed July 12, 2013.
Michigan Surgical Quality Collaborative. Program overview. Available at: http://www.msqc.org/about_program_overview.php. Accessed July 12, 2013.×
§§Bardram, Jakob. Clinical Proof-of-Concept—An evaluation method for pervasive healthcare systems. UbiComp '08 Workshop on Ubiquitous Systems Evaluation (USE '08). Available at: http://sunsite.informatik.rwth-aachen.de/Publications/CEUR-WS/Vol-393/. Accessed May 21, 2013.
Bardram, Jakob. Clinical Proof-of-Concept—An evaluation method for pervasive healthcare systems. UbiComp '08 Workshop on Ubiquitous Systems Evaluation (USE '08). Available at: http://sunsite.informatik.rwth-aachen.de/Publications/CEUR-WS/Vol-393/. Accessed May 21, 2013.×
References
Centers for Disease Control and Prevention, National Hospital Discharge Survey: 2009. (2009). Atlanta Centers for Disease Control and Prevention
Kehlet, H, Wilmore, DW Evidence-based surgical care and the evolution of fast-track surgery.. Ann Surg. (2008). 248 189–98 [Article] [PubMed]
Cullen, KA, Hall, MJ, Golosinskiy, A Ambulatory surgery in the United States, 2006.. Natl Health Stat Report. (2009).  1–25
Hall, MJ, DeFrances, CJ, Williams, SN, Golosinskiy, A, Schwartzman, A National Hospital Discharge Survey: 2007 summary.. Natl Health Stat Report. (2010).  1–20, 24
Phipps, D, Meakin, GH, Beatty, PC, Nsoedo, C, Parker, D Human factors in anaesthetic practice: Insights from a task analysis.. Br J Anaesth. (2008). 100 333–43 [Article] [PubMed]
Schimpff, SC Improving operating room and perioperative safety: Background and specific recommendations.. Surg Innov. (2007). 14 127–35 [Article] [PubMed]
Grocott, MP, Pearse, RM Perioperative medicine: The future of anaesthesia?. Br J Anaesth. (2012). 108 723–6 [Article] [PubMed]
Vetter, TR, Goeddel, LA, Boudreaux, AM, Hunt, TR, Jones, KA, Pittet, JF The Perioperative Surgical Home: How can it make the case so everyone wins?. BMC Anesthesiol. (2013). 13 6 [Article] [PubMed]
Fry, DE, Pine, M, Jones, BL, Meimban, RJ The impact of ineffective and inefficient care on the excess costs of elective surgical procedures.. J Am Coll Surg. (2011). 212 779–86 [Article] [PubMed]
Vetter, TR, Ivankova, NV, Pittet, JF Patient satisfaction with anesthesia: Beauty is in the eye of the consumer.. Anesthesiology. (2013). 119 245–7 [Article] [PubMed]
Kon, AA The shared decision-making continuum.. JAMA. (2010). 304 903–4 [Article] [PubMed]
Legare, F, Ratte, S, Stacey, D, Kryworuchko, J, Gravel, K, Graham, ID, Turcotte, S Interventions for improving the adoption of shared decision making by healthcare professionals.. Cochrane Database of Systematic Reviews (Online). (2010).  CD006732
Légaré, F, Turcotte, S, Stacey, D, Ratté, S, Kryworuchko, J, Graham, ID Patients’ perceptions of sharing in decisions: A systematic review of interventions to enhance shared decision making in routine clinical practice.. Patient. (2012). 5 1–19 [Article] [PubMed]
Carrier, E, Gourevitch, MN, Shah, NR Medical homes: Challenges in translating theory into practice.. Med Care. (2009). 47 714–22 [Article] [PubMed]
Rittenhouse, DR, Shortell, SM The patient-centered medical home: Will it stand the test of health reform?. JAMA. (2009). 301 2038–40 [Article] [PubMed]
Stange, KC, Nutting, PA, Miller, WL, Jaén, CR, Crabtree, BF, Flocke, SA, Gill, JM Defining and measuring the patient-centered medical home.. J Gen Intern Med. (2010). 25 601–12 [Article] [PubMed]
Warner, MA The Surgical HomeTM.. ASA Newsl. (2012). 76 30–2
Gross, WL, Gold, B Anesthesiology and competitive strategy.. Anesthesiol Clin. (2009). 27 167–74 [Article] [PubMed]
Scurlock, C, Dexter, F, Reich, DL, Galati, M Needs assessment for business strategies of anesthesiology groups’ practices.. Anesth Analg. (2011). 113 170–4 [Article] [PubMed]
Burns, LR, Muller, RW Hospital-physician collaboration: Landscape of economic integration and impact on clinical integration.. Milbank Q. (2008). 86 375–434 [Article] [PubMed]
Trybou, J, Gemmel, P, Annemans, L The ties that bind: An integrative framework of physician-hospital alignment.. BMC Health Serv Res. (2011). 11 36 [Article] [PubMed]
Porter, M, Teisberg, E, Olmsted, E Redefining Health Care: Creating Value-Based Competition on Results. (2006). Cambridge Harvard Business School Press
Porter, ME A strategy for health care reform—Toward a value-based system.. N Engl J Med. (2009). 361 109–12 [Article] [PubMed]
Porter, ME What is value in health care?. N Engl J Med. (2010). 363 2477–81 [Article] [PubMed]
Rosenthal, MB, Dudley, RA Pay-for-performance: Will the latest payment trend improve care?. JAMA. (2007). 297 740–4 [Article] [PubMed]
Epstein, AM Pay for performance at the tipping point.. N Engl J Med. (2007). 356 515–7 [Article] [PubMed]
Mayes, R Moving (realistically) from volume-based to value-based health care payment in the USA: Starting with medicare payment policy.. J Health Serv Res Policy. (2011). 16 249–51 [Article] [PubMed]
Sevin, C, Evdokimoff, M, Sobolewski, S, Taylor, J, Rutherford, P, EA, C How-to Guide: Improving Transitions from the Hospital to Home Health Care to Reduce Avoidable Rehospitalizations. (2012). Cambridge Institute for Healthcare Improvement
Coleman, EA, Parry, C, Chalmers, S, Min, SJ The care transitions intervention: Results of a randomized controlled trial.. Arch Intern Med. (2006). 166 1822–8 [Article] [PubMed]
Bradway, C, Trotta, R, Bixby, MB, McPartland, E, Wollman, MC, Kapustka, H, McCauley, K, Naylor, MD A qualitative analysis of an advanced practice nurse-directed transitional care model intervention.. Gerontologist. (2012). 52 394–407 [Article] [PubMed]
Iglehart, JK Prioritizing comparative-effectiveness research—IOM recommendations.. N Engl J Med. (2009). 361 325–8 [Article] [PubMed]
Sox, HC Defining comparative effectiveness research: The importance of getting it right.. Med Care. (2010). 486 suppl S7–8 [Article] [PubMed]
Institute of Medicine, Committee on Comparative Effectiveness Research Prioritization: Initial National Priorities for Comparative Effectiveness Research. (2009). Washington, D.C. National Academies Press
Breivik, H, Borchgrevink, PC, Allen, SM, Rosseland, LA, Romundstad, L, Hals, EK, Kvarstein, G, Stubhaug, A Assessment of pain.. Br J Anaesth. (2008). 101 17–24 [Article] [PubMed]
Fayers, PM, Hays, RD Assessing Quality of Life in Clinical Trials: Methods and Practice. (2005). Oxford Oxford University Press
Fayers, PM, Machin, D Quality of Life: The Assessment, Analysis and Interpretation of Patient-reported Outcomes. (2007). Chichester; Hoboken John Wiley & Sons
DeVine, J, Norvell, DC, Ecker, E, Fourney, DR, Vaccaro, A, Wang, J, Andersson, G Evaluating the correlation and responsiveness of patient-reported pain with function and quality-of-life outcomes after spine surgery.. Spine (Phila Pa 1976). (2011). 3621 suppl S69–74 [Article] [PubMed]
Urbach, DR Measuring quality of life after surgery.. Surg Innov. (2005). 12 161–5 [Article] [PubMed]
Jokinen, JJ, Hippeläinen, MJ, Turpeinen, AK, Pitkänen, O, Hartikainen, JE Health-related quality of life after coronary artery bypass grafting: A review of randomized controlled trials.. J Card Surg. (2010). 25 309–17 [Article] [PubMed]
Quintana, JM, Escobar, A, Aguirre, U, Lafuente, I, Arenaza, JC Predictors of health-related quality-of-life change after total hip arthroplasty.. Clin Orthop Relat Res. (2009). 467 2886–94 [Article] [PubMed]
Kluivers, KB, Riphagen, I, Vierhout, ME, Brölmann, HA, de Vet, HC Systematic review on recovery specific quality-of-life instruments.. Surgery. (2008). 143 206–15 [Article] [PubMed]
Jakobsson, J Assessing recovery after ambulatory anaesthesia, measures of resumption of activities of daily living.. Curr Opin Anaesthesiol. (2011). 24 601–4 [Article] [PubMed]
Myles, PS, Williams, DL, Hendrata, M, Anderson, H, Weeks, AM Patient satisfaction after anaesthesia and surgery: Results of a prospective survey of 10,811 patients.. Br J Anaesth. (2000). 84 6–10 [Article] [PubMed]
Heidegger, T, Saal, D, Nuebling, M Patient satisfaction with anaesthesia care: What is patient satisfaction, how should it be measured, and what is the evidence for assuring high patient satisfaction?. Best Pract Res Clin Anaesthesiol. (2006). 20 331–46 [Article] [PubMed]
Baumann, C, Rat, AC, Osnowycz, G, Mainard, D, Cuny, C, Guillemin, F Satisfaction with care after total hip or knee replacement predicts self-perceived health status after surgery.. BMC Musculoskelet Disord. (2009). 10 150 [Article] [PubMed]
Barnett, SF, Alagar, RK, Grocott, MP, Giannaris, S, Dick, JR, Moonesinghe, SR Patient-satisfaction measures in anesthesia: Qualitative systematic review.. Anesthesiology. (2013). 119 452–78 [Article] [PubMed]
Dicicco-Bloom, B, Crabtree, BF The qualitative research interview.. Med Educ. (2006). 40 314–21 [Article] [PubMed]
Agency for Healthcare Research and Quality (AHRQ): The Effective Health Care Program Stakeholder Guide. (2011). Rockville, MD Agency for Healthcare Research and Quality (AHRQ)
Wu, AW, Snyder, C, Clancy, CM, Steinwachs, DM Adding the patient perspective to comparative effectiveness research.. Health Aff (Millwood). (2010). 29 1863–71 [Article] [PubMed]
Israel, BA, Schulz, AJ, Parker, EA, Becker, AB Community-Campus Partnerships for Health, Community-based participatory research: Policy recommendations for promoting a partnership approach in health research.. Educ Health (Abingdon). (2001). 14 182–97 [Article] [PubMed]
Eisinger, A, Senturia, K Doing community-driven research: A description of Seattle Partners for Healthy Communities.. J Urban Health. (2001). 78 519–34 [Article] [PubMed]
Royal Society of Canada: Guidelines and Categories for Classifying Participatory Research Projects in Health. (1995). Ottawa, Ontario, Canada Royal Society of Canada
Schulz, A, Israel, B, Selig, S, Bayer, I, Griffin, CMacNair, RDevelopment and implementation of principles for community-based research in public health.. Research Strategies for Community Practice. (1998). New York Haworth Press 83–110. Edited by
Horowitz, CR, Robinson, M, Seifer, S Community-based participatory research from the margin to the mainstream: Are researchers prepared?. Circulation. (2009). 119 2633–42 [Article] [PubMed]
Patton, MQ Qualitative Evaluation and Research Methods. (2002). Thousands Oaks SAGE
Creswell, J, Klassen, A, Plano Clark, V, Smith, K Best Practices for Mixed Methods Research in the Health Sciences. (2011). Bethesda National Institutes of Health 1–37
Holden, DJ, Zimmerman, MA A Practical Guide to Program Evaluation Planning: Theory and Case Examples. (2009). Thousand Oaks SAGE Productions
Douketis, JD, Spyropoulos, AC, Spencer, FA, Mayr, M, Jaffer, AK, Eckman, MH, Dunn, AS, Kunz, R American College of Chest Physicians, Perioperative management of antithrombotic therapy: Antithrombotic Therapy and Prevention of Thrombosis, 9th ed: American College of Chest Physicians Evidence-Based Clinical Practice Guidelines.. Chest. (2012). 1412 suppl e326S–50S [Article] [PubMed]
Crossley, GH, Poole, JE, Rozner, MA, Asirvatham, SJ, Cheng, A, Chung, MK, Ferguson, TBJr, Gallagher, JD, Gold, MR, Hoyt, RH, Irefin, S, Kusumoto, FM, Moorman, LP, Thompson, A The Heart Rhythm Society (HRS)/American Society of Anesthesiologists (ASA) Expert Consensus Statement on the perioperative management of patients with implantable defibrillators, pacemakers and arrhythmia monitors: Facilities and patient management this document was developed as a joint project with the American Society of Anesthesiologists (ASA), and in collaboration with the American Heart Association (AHA), and the Society of Thoracic Surgeons (STS).. Heart Rhythm. (2011). 8 1114–54 [Article] [PubMed]
American Society of Anesthesiologists Task Force on Acute Pain Management: Practice guidelines for acute pain management in the perioperative setting: An updated report by the American Society of Anesthesiologists Task Force on Acute Pain Management.. Anesthesiology. (2012). 116 248–73 [Article] [PubMed]
Gross, JB, Bachenberg, KL, Benumof, JL, Caplan, RA, Connis, RT, Coté, CJ, Nickinovich, DG, Prachand, V, Ward, DS, Weaver, EM, Ydens, L, Yu, S American Society of Anesthesiologists Task Force on Perioperative Management, Practice guidelines for the perioperative management of patients with obstructive sleep apnea: A report by the American Society of Anesthesiologists Task Force on Perioperative Management of patients with obstructive sleep apnea.. Anesthesiology. (2006). 104 1081–93; quiz 1117–8 [Article] [PubMed]
Gan, TJ, Meyer, TA, Apfel, CC, Chung, F, Davis, PJ, Habib, AS, Hooper, VD, Kovac, AL, Kranke, P, Myles, P, Philip, BK, Samsa, G, Sessler, DI, Temo, J, Tramèr, MR, Vander Kolk, C, Watcha, M Society for Ambulatory Anesthesia, Society for Ambulatory Anesthesia guidelines for the management of postoperative nausea and vomiting.. Anesth Analg. (2007). 105 1615–28 [Article] [PubMed]
Fleisher, LA, Beckman, JA, Brown, KA, Calkins, H, Chaikof, E, Fleischmann, KE, Freeman, WK, Froehlich, JB, Kasper, EK, Kersten, JR, Riegel, B, Robb, JF, Smith, SCJr, Jacobs, AK, Adams, CD, Anderson, JL, Antman, EM, Buller, CE, Creager, MA, Ettinger, SM, Faxon, DP, Fuster, V, Halperin, JL, Hiratzka, LF, Hunt, SA, Lytle, BW, Nishimura, R, Ornato, JP, Page, RL, Tarkington, LG, Yancy, CW ACC/AHA 2007 guidelines on perioperative cardiovascular evaluation and care for noncardiac surgery: Executive summary: A report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines (Writing Committee to Revise the 2002 Guidelines on Perioperative Cardiovascular Evaluation for Noncardiac Surgery).. Anesth Analg. (2008). 106 685–712 [Article] [PubMed]
Fleisher, LA, Beckman, JA, Brown, KA, Calkins, H, Chaikof, EL, Fleischmann, KE, Freeman, WK, Froehlich, JB, Kasper, EK, Kersten, JR, Riegel, B, Robb, JF 2009 ACCF/AHA focused update on perioperative beta blockade incorporated into the ACC/AHA 2007 guidelines on perioperative cardiovascular evaluation and care for noncardiac surgery.. J Am Coll Cardiol. (2009). 54 e13–e118 [Article] [PubMed]
Poldermans, D, Bax, JJ, Boersma, E, De Hert, S, Eeckhout, E, Fowkes, G, Gorenek, B, Hennerici, MG, Iung, B, Kelm, M, Kjeldsen, KP, Kristensen, SD, Lopez-Sendon, J, Pelosi, P, Philippe, F, Pierard, L, Ponikowski, P, Schmid, JP, Sellevold, OF, Sicari, R, Van den Berghe, G, Vermassen, F Guidelines for pre-operative cardiac risk assessment and perioperative cardiac management in non-cardiac surgery.. Eur Heart J. (2009). 30 2769–812 [Article] [PubMed]
Bisbe, E, Muñoz, M Management of preoperative anemia: The NATA consensus statements.. ISBT Science Series. (2012). 7 283–7 [Article]
Goodnough, LT, Maniatis, A, Earnshaw, P, Benoni, G, Beris, P, Bisbe, E, Fergusson, DA, Gombotz, H, Habler, O, Monk, TG, Ozier, Y, Slappendel, R, Szpalski, M Detection, evaluation, and management of preoperative anaemia in the elective orthopaedic surgical patient: NATA guidelines.. Br J Anaesth. (2011). 106 13–22 [Article] [PubMed]
Carson, JL, Grossman, BJ, Kleinman, S, Tinmouth, AT, Marques, MB, Fung, MK, Holcomb, JB, Illoh, O, Kaplan, LJ, Katz, LM, Rao, SV, Roback, JD, Shander, A, Tobian, AA, Weinstein, R, Swinton McLaughlin, LG, Djulbegovic, B Red blood cell transfusion: A clinical practice guideline from the AABB.. Ann Intern Med. (2012). 157 49–58 [Article] [PubMed]
Shander, A Developments in blood management: A patient-centered approach.. ASA Newsl. (2012). 76 10
Singer, SJ, Burgers, J, Friedberg, M, Rosenthal, MB, Leape, L, Schneider, E Defining and measuring integrated patient care: Promoting the next frontier in health care delivery.. Med Care Res Rev. (2011). 68 112–27 [Article] [PubMed]
Epstein, RM, Fiscella, K, Lesser, CS, Stange, KC Why the nation needs a policy push on patient-centered health care.. Health Aff (Millwood). (2010). 29 1489–95 [Article] [PubMed]
Ghaferi, AA, Birkmeyer, JD, Dimick, JB Variation in hospital mortality associated with inpatient surgery.. N Engl J Med. (2009). 361 1368–75 [Article] [PubMed]
Ghaferi, AA, Birkmeyer, JD, Dimick, JB Complications, failure to rescue, and mortality with major inpatient surgery in medicare patients.. Ann Surg. (2009). 250 1029–34 [Article] [PubMed]
Silber, JH, Williams, SV, Krakauer, H, Schwartz, JS Hospital and patient characteristics associated with death after surgery. A study of adverse occurrence and failure to rescue.. Med Care. (1992). 30 615–29 [Article] [PubMed]
Taenzer, AH, Pyke, JB, McGrath, SP A review of current and emerging approaches to address failure-to-rescue.. Anesthesiology. (2011). 115 421–31 [Article] [PubMed]
Institute of Medicine, Committee on Quality of Health Care in America: Crossing the Quality Chasm: A New Health System for the 21st Century. (2001). Washington, D.C National Academy Press
Centers for Medicare & Medicaid Services (CMS), HHS: Medicare program; hospital inpatient value-based purchasing program. Final rule.. Fed Regist. (2011). 76 26490–547 [PubMed]
Bratzler, DWThe Surgical Infection Prevention and Surgical Care Improvement Projects: Promises and pitfalls.. Am Surg. (2006). 72 1010–6discussion 1021–30, 1133–48 [PubMed]
Bratzler, DW, Hunt, DR The surgical infection prevention and surgical care improvement projects: National initiatives to improve outcomes for patients having surgery.. Clin Infect Dis. (2006). 43 322–30 [Article] [PubMed]
Velanovich, V, Rubinfeld, I, Patton, JHJr, Ritz, J, Jordan, J, Dulchavsky, S Implementation of the National Surgical Quality Improvement Program: Critical steps to success for surgeons and hospitals.. Am J Med Qual. (2009). 24 474–9 [Article] [PubMed]
The Joint Commission: National Patient Safety Goals. (2012). Oakbrook Terrace The Joint Commission
Agency for Healthcare Research: Patient Safety Indicators Overview. (2012). Rockville Agency for Healthcare Research
Schwulst, SJ, Mazuski, JE Surgical prophylaxis and other complication avoidance care bundles.. Surg Clin North Am. (2012). 92 285–305, ix [Article] [PubMed]
Hawn, MT, Vick, CC, Richman, J, Holman, W, Deierhoi, RJ, Graham, LA, Henderson, WG, Itani, KMSurgical site infection prevention: Time to move beyond the surgical care improvement program.. Ann Surg. (2011). 254 494–9discussion 499–501 [Article] [PubMed]
Stulberg, JJ, Delaney, CP, Neuhauser, DV, Aron, DC, Fu, P, Koroukian, SM Adherence to surgical care improvement project measures and the association with postoperative infections.. JAMA. (2010). 303 2479–85 [Article] [PubMed]
Anesthesia Quality Institute, Outcomes of Anesthesia: Core Measures. (2013). Park Ridge, IL, Anesthesia Quality Institute
Clavien, PA, Barkun, J, de Oliveira, ML, Vauthey, JN, Dindo, D, Schulick, RD, de Santibañes, E, Pekolj, J, Slankamenac, K, Bassi, C, Graf, R, Vonlanthen, R, Padbury, R, Cameron, JL, Makuuchi, M The Clavien-Dindo classification of surgical complications: Five-year experience.. Ann Surg. (2009). 250 187–96 [Article] [PubMed]
Dindo, D, Demartines, N, Clavien, PA Classification of surgical complications: A new proposal with evaluation in a cohort of 6336 patients and results of a survey.. Ann Surg. (2004). 240 205–13 [Article] [PubMed]
DeOliveira, ML, Winter, JM, Schafer, M, Cunningham, SC, Cameron, JL, Yeo, CJ, Clavien, PAAssessment of complications after pancreatic surgery: A novel grading system applied to 633 patients undergoing pancreaticoduodenectomy.. Ann Surg. (2006). 244 931–7discussion 937–9 [Article] [PubMed]
Reddy, SK, Pawlik, TM, Zorzi, D, Gleisner, AL, Ribero, D, Assumpcao, L, Barbas, AS, Abdalla, EK, Choti, MA, Vauthey, JN, Ludwig, KA, Mantyh, CR, Morse, MA, Clary, BM Simultaneous resections of colorectal cancer and synchronous liver metastases: A multi-institutional analysis.. Ann Surg Oncol. (2007). 14 3481–91 [Article] [PubMed]
Park, JY, Kim, TJ, Kang, HJ, Lee, YY, Choi, CH, Lee, JW, Bae, DS, Kim, BG Laparoendoscopic single site (LESS) surgery in benign gynecology: Perioperative and late complications of 515 cases.. Eur J Obstet Gynecol Reprod Biol. (2013). 167 215–8 [Article] [PubMed]
Siedhoff, MT, Carey, ET, Findley, AD, Riggins, LE, Garrett, JM, Steege, JF Effect of extreme obesity on outcomes in laparoscopic hysterectomy.. J Minim Invasive Gynecol. (2012). 19 701–7 [Article] [PubMed]
Sink, EL, Leunig, M, Zaltz, I, Gilbert, JC, Clohisy, J Academic Network for Conservational Hip Outcomes Research Group, Reliability of a complication classification system for orthopaedic surgery.. Clin Orthop Relat Res. (2012). 470 2220–6 [Article] [PubMed]
Permpongkosol, S, Link, RE, Su, LM, Romero, FR, Bagga, HS, Pavlovich, CP, Jarrett, TW, Kavoussi, LR Complications of 2,775 urological laparoscopic procedures: 1993 to 2005.. J Urol. (2007). 177 580–5 [Article] [PubMed]
Sundaram, CP, Martin, GL, Guise, A, Bernie, J, Bargman, V, Milgrom, M, Shalhav, A, Govani, M, Goggins, W Complications after a 5-year experience with laparoscopic donor nephrectomy: The Indiana University experience.. Surg Endosc. (2007). 21 724–8 [Article] [PubMed]
Muñoz, E, Muñoz, WIII, Wise, L National and surgical health care expenditures, 2005–2025.. Ann Surg. (2010). 251 195–200 [Article] [PubMed]
Newman, MF, Mathew, JP, Aronson, S The evolution of anesthesiology and perioperative medicine.. Anesthesiology. (2013). 118 1005–7 [Article] [PubMed]
Neuman, MD Patient satisfaction and value in anesthesia care.. Anesthesiology. (2011). 114 1019–20 [Article] [PubMed]
Owens, DK, Qaseem, A, Chou, R, Shekelle, P Clinical Guidelines Committee of the American College of Physicians, High-value, cost-conscious health care: Concepts for clinicians to evaluate the benefits, harms, and costs of medical interventions.. Ann Intern Med. (2011). 154 174–80 [Article] [PubMed]
Robinson, RL, Vetter, TRMoore, RJHealthcare economic evaluation of chronic pain: Measuring the economic, social and personal impact of chronic pain.. Biobehavioral Approaches to Pain. (2009). New York Springer 219–58. Edited by
Vetter, TR, Chou, RBenzon, HT, Rathmell, JP, Turk, DCClinical trial methodology for pain outcome studies.. Raj’s Practical Management of Pain. (2013). 5th edition New York Elsevier 1057–65. Edited by
Vetter, TR The application of economic evaluation methods in the chronic pain medicine literature.. Anesth Analg. (2007). 105 114–8 [Article] [PubMed]
Drummond, M, Sculpher, MJ, Torrance, GW, O’Brien, BJ, Stoddart, GL Methods for Economic Evaluation of Health Care Programmes. (2005). 3rd edition New York Oxford University Press
Jefferson, T, Demicheli, V, Mugford, M Elementary Economic Evaluation in Health Care. (2000). 2nd edition London BMJ Publishing Group
Korthals-de Bos, I, van Tulder, M, van Dieten, H, Bouter, L Economic evaluations and randomized trials in spinal disorders: Principles and methods.. Spine. (2004). 29 442–8 [Article] [PubMed]
Tan, MCY, Regier, DA, Esdaile, JM, Lynd, LD, Anis, AH, Marra, CA Health economic evaluation: A primer for the practicing rheumatologist.. Arthritis Care Res. (2006). 55 648–56 [Article]
Asche, CV, Seal, B, Jackson, KC, Oderda, GM Economic evaluations in pain management.. J Pain Palliat Care Pharmacother. (2006). 20 15–23 [PubMed]
van der Roer, N, Boos, N, van Tulder, MW Economic evaluations: A new avenue of outcome assessment in spinal disorders.. Eur Spine J. (2006). 15suppl 1 S109–17 [Article] [PubMed]
Drummond, M Introducing economic and quality of life measurements into clinical studies.. Ann Med. (2001). 33 344–9 [Article] [PubMed]
Ramsey, S, Willke, R, Briggs, A, Brown, R, Buxton, M, Chawla, A, Cook, J, Glick, H, Liljas, B, Petitti, D, Reed, S Good research practices for cost-effectiveness analysis alongside clinical trials: The ISPOR RCT-CEA Task Force report.. Value Health. (2005). 8 521–33 [Article] [PubMed]
Petrou, S, Gray, A Economic evaluation alongside randomised controlled trials: Design, conduct, analysis, and reporting.. BMJ. (2011). 342 d1548 [Article] [PubMed]
Ramsey, SD, McIntosh, M, Sullivan, SD Design issues for conducting cost-effectiveness analyses alongside clinical trials.. Annu Rev Public Health. (2001). 22 129–41 [Article] [PubMed]
Glick, HA, Doshi, J, Sonnad, S, Polsky, D Economic Evaluation in Clinical Trials. (2007). New York Oxford University Press
Ramsey, SD, McIntosh, M, Sullivan, SD Design issues for conducting cost-effectiveness analyses alongside clinical trials.. Annu Rev Public Health. (2001). 22 129–41 [Article] [PubMed]
Weinstein, MC, O’Brien, B, Hornberger, J, Jackson, J, Johannesson, M, McCabe, C, Luce, BR ISPOR Task Force on Good Research Practices–Modeling Studies, Principles of good practice for decision analytic modeling in health-care evaluation: Report of the ISPOR Task Force on Good Research Practices–Modeling Studies.. Value Health. (2003). 6 9–17 [Article] [PubMed]
Grimes, DA, Schulz, KF An overview of clinical research: The lay of the land.. Lancet. (2002). 359 57–61 [Article] [PubMed]
Sox, HC, Helfand, M, Grimshaw, J, Dickersin, K, Tovey, D, Knottnerus, JA, Tugwell, P PLoS Medicine Editors, Comparative effectiveness research: Challenges for medical journals.. J Clin Epidemiol. (2010). 63 862–4 [Article] [PubMed]
Grossman, J, Mackenzie, FJ The randomized controlled trial: Gold standard, or merely standard?. Perspect Biol Med. (2005). 48 516–34 [Article] [PubMed]
Schulz, KF, Grimes, DA Blinding in randomised trials: Hiding who got what.. Lancet. (2002). 359 696–700 [Article] [PubMed]
Sanson-Fisher, RW, Bonevski, B, Green, LW, D’Este, C Limitations of the randomized controlled trial in evaluating population-based health interventions.. Am J Prev Med. (2007). 33 155–61 [Article] [PubMed]
Mercer, SL, DeVinney, BJ, Fine, LJ, Green, LW, Dougherty, D Study designs for effectiveness and translation research: Identifying trade-offs.. Am J Prev Med. (2007). 33 139–54 [Article] [PubMed]
Arnett, DK, Claas, SADavid, R, Gordon, HWIntroduction to epidemiology.. Clinical and Translational Science. (2009). San Diego Academic Press 527–41. Edited by
Schulz, KF, Altman, DG, Moher, D CONSORT Group, CONSORT 2010 statement: Updated guidelines for reporting parallel group randomized trials.. Ann Intern Med. (2010). 152 726–32 [Article] [PubMed]
Zwarenstein, M, Treweek, S, Gagnier, JJ, Altman, DG, Tunis, S, Haynes, B, Oxman, AD, Moher, D CONSORT Group; Pragmatic Trials in Healthcare (Practihc) Group, Improving the reporting of pragmatic trials: An extension of the CONSORT statement.. BMJ. (2008). 337 a2390 [Article] [PubMed]
Piaggio, G, Elbourne, DR, Pocock, SJ, Evans, SJ, Altman, DG CONSORT Group, Reporting of noninferiority and equivalence randomized trials: Extension of the CONSORT 2010 statement.. JAMA. (2012). 308 2594–604 [Article] [PubMed]
Mazor, KM, Sabin, JE, Boudreau, D, Goodman, MJ, Gurwitz, JH, Herrinton, LJ, Raebel, MA, Roblin, D, Smith, DH, Meterko, V, Platt, R Cluster randomized trials: Opportunities and barriers identified by leaders of eight health plans.. Med Care. (2007). 4510 suppl 2 S29–37 [Article] [PubMed]
Donner, A, Klar, N Design and Analysis of Cluster Randomization Trials in Health Research. (2000). London Arnold
Hayes, RJ, Moulton, LH Cluster Randomised Trials. (2009). Boca Raton Taylor & Francis
Murray, DM, Varnell, SP, Blitstein, JL Design and analysis of group-randomized trials: A review of recent methodological developments.. Am J Public Health. (2004). 94 423–32 [Article] [PubMed]
Kerry, SM, Bland, JM The intracluster correlation coefficient in cluster randomisation.. BMJ. (1998). 316 1455 [Article] [PubMed]
Campbell, MK, Elbourne, DR, Altman, DG CONSORT Group, CONSORT statement: Extension to cluster randomised trials.. BMJ. (2004). 328 702–8 [Article] [PubMed]
Killip, S, Mahfoud, Z, Pearce, K What is an intracluster correlation coefficient? Crucial concepts for primary care researchers.. Ann Fam Med. (2004). 2 204–8 [Article] [PubMed]
Varnell, SP, Murray, DM, Janega, JB, Blitstein, JL Design and analysis of group-randomized trials: A review of recent practices.. Am J Public Health. (2004). 94 393–9 [Article] [PubMed]
Godwin, M, Ruhland, L, Casson, I, MacDonald, S, Delva, D, Birtwhistle, R, Lam, M, Seguin, R Pragmatic controlled clinical trials in primary care: The struggle between external and internal validity.. BMC Med Res Methodol. (2003). 3 28 [Article] [PubMed]
Gartlehner, G, Hansen, RA, Nissman, D, Lohr, KN, Carey, TS A simple and valid tool distinguished efficacy from effectiveness studies.. J Clin Epidemiol. (2006). 59 1040–8 [Article] [PubMed]
Silverman, SL From randomized controlled trials to observational studies.. Am J Med. (2009). 122 114–20 [Article] [PubMed]
Mann, CJ Observational research methods. Research design II: Cohort, cross sectional, and case-control studies.. Emerg Med J. (2003). 20 54–60 [Article] [PubMed]
Hartung, DM, Touchette, D Overview of clinical research design.. Am J Health Syst Pharm. (2009). 66 398–408 [Article] [PubMed]
DiPietro, NA Methods in epidemiology: Observational study designs.. Pharmacotherapy. (2010). 30 973–84 [Article] [PubMed]
Rothman, KJ, Greenland, S, Lash, TL Modern Epidemiology. (2008). Philadelphia Wolters Kluwer Health/Lippincott Williams & Wilkins
Gordis, L Epidemiology. (2009). Philadelphia Elsevier/Saunders
Rochon, PA, Gurwitz, JH, Sykora, K, Mamdani, M, Streiner, DL, Garfinkel, S, Normand, SL, Anderson, GM Reader’s guide to critical appraisal of cohort studies: 1. Role and design.. BMJ. (2005). 330 895–7 [Article] [PubMed]
Mamdani, M, Sykora, K, Li, P, Normand, SL, Streiner, DL, Austin, PC, Rochon, PA, Anderson, GM Reader’s guide to critical appraisal of cohort studies: 2. Assessing potential for confounding.. BMJ. (2005). 330 960–2 [Article] [PubMed]
Normand, SL, Sykora, K, Li, P, Mamdani, M, Rochon, PA, Anderson, GM Readers guide to critical appraisal of cohort studies: 3. Analytical strategies to reduce confounding.. BMJ. (2005). 330 1021–3 [Article] [PubMed]
von Elm, E, Altman, DG, Egger, M, Pocock, SJ, Gøtzsche, PC, Vandenbroucke, JP STROBE Initiative, The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement: Guidelines for reporting observational studies.. Ann Intern Med. (2007). 147 573–7 [Article] [PubMed]
Vandenbroucke, JP, von Elm, E, Altman, DG, Gøtzsche, PC, Mulrow, CD, Pocock, SJ, Poole, C, Schlesselman, JJ, Egger, M STROBE Initiative, Strengthening the Reporting of Observational Studies in Epidemiology (STROBE): Explanation and elaboration.. Epidemiology. (2007). 18 805–35 [Article] [PubMed]
Sessler, DI, Devereaux, PJ Emerging trends in clinical trial design.. Anesth Analg. (2013). 116 258–61 [Article] [PubMed]
Ferreira-González, I, Permanyer-Miralda, G, Busse, JW, Bryant, DM, Montori, VM, Alonso-Coello, P, Walter, SD, Guyatt, GHMethodologic discussions for using and interpreting composite endpoints are limited, but still identify major concerns.. J Clin Epidemiol. (2007). 60 651–7discussion 658–62 [Article] [PubMed]
Mascha, EJ, Sessler, DI Statistical grand rounds: Design and analysis of studies with binary-event composite endpoints: Guidelines for anesthesia research.. Anesth Analg. (2011). 112 1461–71 [Article] [PubMed]
Tomlinson, G, Detsky, AS Composite end points in randomized trials: There is no free lunch.. JAMA. (2010). 303 267–8 [Article] [PubMed]
Ferreira-González, I, Busse, JW, Heels-Ansdell, D, Montori, VM, Akl, EA, Bryant, DM, Alonso-Coello, P, Alonso, J, Worster, A, Upadhye, S, Jaeschke, R, Schünemann, HJ, Permanyer-Miralda, G, Pacheco-Huergo, V, Domingo-Salvany, A, Wu, P, Mills, EJ, Guyatt, GH Problems with use of composite end points in cardiovascular trials: Systematic review of randomised controlled trials.. BMJ. (2007). 334 786 [Article] [PubMed]
Cordoba, G, Schwartz, L, Woloshin, S, Bae, H, Gøtzsche, PC Definition, reporting, and interpretation of composite outcomes in clinical trials: Systematic review.. BMJ. (2010). 341 c3920 [Article] [PubMed]
Gelenberg, AJ, Thase, ME, Meyer, RE, Goodwin, FK, Katz, MM, Kraemer, HC, Potter, WZ, Shelton, RC, Fava, M, Khan, A, Trivedi, MH, Ninan, PT, Mann, JJ, Bergeson, S, Endicott, J, Kocsis, JH, Leon, AC, Manji, HK, Rosenbaum, JF The history and current state of antidepressant clinical trial design: A call to action for proof-of-concept studies.. J Clin Psychiatry. (2008). 69 1513–28 [Article] [PubMed]
Chen, C, Beckman, RA Optimal cost-effective designs of Phase II proof of concept trials and associated go-no go decisions.. J Biopharm Stat. (2009). 19 424–36 [Article] [PubMed]
Chen, C, Sun, L, Li, CL Evaluation of early efficacy endpoints for proof-of-concept trials.. J Biopharm Stat. (2013). 23 413–24 [Article] [PubMed]
Davison, BA, Cotter, G, Sun, H, Chen, L, Teerlink, JR, Metra, M, Felker, GM, Voors, AA, Ponikowski, P, Filippatos, G, Greenberg, B, Teichman, SL, Unemori, E, Koch, GG Permutation criteria to evaluate multiple clinical endpoints in a proof-of-concept study: Lessons from Pre-RELAX-AHF.. Clin Res Cardiol. (2011). 100 745–53 [Article] [PubMed]
Fig. 1.
Integration of care in the perioperative surgical home model with an anesthesiologist-intensivist serving as the “Perioperativist.”(Reproduced with permission from Vetter TR, Goeddel LA, Boudreaux AM, Hunt TR, Jones KA, Pittet JF: The Perioperative Surgical Home: How can it make the case so everyone wins? BMC Anesth 2013; 13: 6.8 ).
Image Not Available
Fig. 1.
Integration of care in the perioperative surgical home model with an anesthesiologist-intensivist serving as the “Perioperativist.”(Reproduced with permission from Vetter TR, Goeddel LA, Boudreaux AM, Hunt TR, Jones KA, Pittet JF: The Perioperative Surgical Home: How can it make the case so everyone wins? BMC Anesth 2013; 13: 6.8 ).
×
Fig. 2.
Modified institute for healthcare improvement roadmap for improving postoperative transitions in care after hospitalization and reducing avoidable rehospitalizations (readmissions). (Modified with permission from Sevin C, Evdokimoff M, Sobolewski S, Taylor J, Rutherford P, EA C: How-to guide: Improving transitions from the hospital to home health care to reduce avoidable rehospitalizations. Cambridge, MA, Institute for Healthcare Improvement, 2012. Available at www.IHI.org.28 ) Adaptations are themselves works protected by copyright. So in order to publish this adaptation, authorization must be obtained both from the owner of the copyright in the original work and from the owner of copyright in the translation or adaptation.
Image Not Available
Fig. 2.
Modified institute for healthcare improvement roadmap for improving postoperative transitions in care after hospitalization and reducing avoidable rehospitalizations (readmissions). (Modified with permission from Sevin C, Evdokimoff M, Sobolewski S, Taylor J, Rutherford P, EA C: How-to guide: Improving transitions from the hospital to home health care to reduce avoidable rehospitalizations. Cambridge, MA, Institute for Healthcare Improvement, 2012. Available at www.IHI.org.28 ) Adaptations are themselves works protected by copyright. So in order to publish this adaptation, authorization must be obtained both from the owner of the copyright in the original work and from the owner of copyright in the translation or adaptation.
×
Fig. 3.
Procedural steps for mixed methods instrument development. (Reproduced with permission from Vetter TR, Ivankova NV, Pittet JF: Patient satisfaction with anesthesia: Beauty is in the eye of the consumer. Anesthesiology 2013; 119: 245–7.10 )
Image Not Available
Fig. 3.
Procedural steps for mixed methods instrument development. (Reproduced with permission from Vetter TR, Ivankova NV, Pittet JF: Patient satisfaction with anesthesia: Beauty is in the eye of the consumer. Anesthesiology 2013; 119: 245–7.10 )
×
Table 1.
Strategies to Ensure Stakeholders’ Consistent Engagement with the Project and Active Dissemination and Implementation of the Results48,54,55
Strategies to Ensure Stakeholders’ Consistent Engagement with the Project and Active Dissemination and Implementation of the Results48,54,55×
Image Not Available
Table 1.
Strategies to Ensure Stakeholders’ Consistent Engagement with the Project and Active Dissemination and Implementation of the Results48,54,55
Strategies to Ensure Stakeholders’ Consistent Engagement with the Project and Active Dissemination and Implementation of the Results48,54,55×
×
Table 2.
Quality and Safety Variables to Be Applied in Assessing the Effect of the Perioperative Surgical Home Model
Quality and Safety Variables to Be Applied in Assessing the Effect of the Perioperative Surgical Home Model×
Image Not Available
Table 2.
Quality and Safety Variables to Be Applied in Assessing the Effect of the Perioperative Surgical Home Model
Quality and Safety Variables to Be Applied in Assessing the Effect of the Perioperative Surgical Home Model×
×
Table 3.
The Revised Clavien-Dindo Classification of Surgical Complications to Be Applied in Assessing the Effect of the Perioperative Surgical Home Model87,88
The Revised Clavien-Dindo Classification of Surgical Complications to Be Applied in Assessing the Effect of the Perioperative Surgical Home Model87,88×
Image Not Available
Table 3.
The Revised Clavien-Dindo Classification of Surgical Complications to Be Applied in Assessing the Effect of the Perioperative Surgical Home Model87,88
The Revised Clavien-Dindo Classification of Surgical Complications to Be Applied in Assessing the Effect of the Perioperative Surgical Home Model87,88×
×