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Objectives: To provide Grading of Recommendations, Assessment, Development, and Evaluation (GRADE) guidance for the consideration of study limitations (risk of bias) due to missing participant outcome data for time-to-event outcomes in intervention studies., Study Design and Setting: We developed this guidance through an iterative process that included membership consultation, feedback, presentation, and iterative discussion at meetings of the GRADE working group., Results: The GRADE working group has published guidance on how to account for missing participant outcome data in binary and continuous outcomes. When analyzing time-to-event outcomes (e.g., overall survival and time-to-treatment failure) data of participants for whom the outcome of interest (e.g., death and relapse) has not been observed are dealt with through censoring. To do so, standard methods require that censored individuals are representative for those remaining in the study. Two types of censoring can be distinguished, end of study censoring and censoring because of missing data, commonly named loss to follow-up censoring. However, both types are not distinguishable with the usual information on censoring available to review authors. Dealing with individuals for whom data are missing during follow-up in the same way as individuals for whom full follow-up is available at the end of the study increases the risk of bias. Considerable differences in the treatment arms in the distribution of censoring over time (early versus late censoring), the overall degree of missing follow-up data, and the reasons why individuals were lost to follow-up may reduce the certainty in the study results. With often only very limited data available, review and guideline authors are required to make transparent and well-considered judgments when judging risk of bias of individual studies and then come to an overall grading decision for the entire body of evidence., Conclusion: Concern for risk of bias resulting from censoring of participants for whom follow-up data are missing in the underlying studies of a body of evidence can be expressed in the study limitations (risk of bias) domain of the GRADE approach., (Copyright © 2020 Elsevier Inc. All rights reserved.)

Objectives: The aim of this study is to propose an approach for developing trustworthy recommendations as part of urgent responses (1-2 week) in the clinical, public health, and health systems fields., Study Design and Setting: We conducted a review of the literature, outlined a draft approach, refined the concept through iterative discussions, a workshop by the Grading of Recommendations Assessment, Development and Evaluation Rapid Guidelines project group, and obtained feedback from the larger Grading of Recommendations Assessment, Development and Evaluation working group., Results: A request for developing recommendations within 2 week is the usual trigger for an urgent response. Although the approach builds on the general principles of trustworthy guideline development, we highlight the following steps: (1) assess the level of urgency; (2) assess feasibility; (3) set up the organizational logistics; (4) specify the question(s); (5) collect the information needed; (6) assess the adequacy of identified information; (7) develop the recommendations using one of the 4 potential approaches: adopt existing recommendations, adapt existing recommendations, develop new recommendations using existing adequate systematic review, or develop new recommendations using expert panel input; and (8) consider an updating plan., Conclusion: An urgent response for developing recommendations requires building a cohesive, skilled, and highly motivated multidisciplinary team with the necessary clinical, scientific, and methodological expertise; adapting to shifting needs; complying with the principles of transparency; and properly managing conflicts of interest., (Copyright © 2020 The Author(s). Published by Elsevier Inc. All rights reserved.)

Objectives: The outcomes reported in trials in coronavirus disease 2019 are extremely heterogeneous and of uncertain patient relevance, limiting their applicability for clinical decision-making. The aim of this workshop was to establish a core outcomes set for trials in people with suspected or confirmed coronavirus disease 2019., Design: Four international online multistakeholder consensus workshops were convened to discuss proposed core outcomes for trials in people with suspected or confirmed coronavirus disease 2019, informed by a survey involving 9,289 respondents from 111 countries. The transcripts were analyzed thematically. The workshop recommendations were used to finalize the core outcomes set., Setting: International., Subjects: Adults 18 years old and over with confirmed or suspected coronavirus disease 2019, their family members, members of the general public and health professionals (including clinicians, policy makers, regulators, funders, researchers)., Interventions: None., Measurements: None., Main Results: Six themes were identified. "Responding to the critical and acute health crisis" reflected the immediate focus on saving lives and preventing life-threatening complications that underpinned the high prioritization of mortality, respiratory failure, and multiple organ failure. "Capturing different settings of care" highlighted the need to minimize the burden on hospitals and to acknowledge outcomes in community settings. "Encompassing the full trajectory and severity of disease" was addressing longer term impacts and the full spectrum of illness (e.g. shortness of breath and recovery). "Distinguishing overlap, correlation and collinearity" meant recognizing that symptoms such as shortness of breath had distinct value and minimizing overlap (e.g. lung function and pneumonia were on the continuum toward respiratory failure). "Recognizing adverse events" refers to the potential harms of new and evolving interventions. "Being cognizant of family and psychosocial wellbeing" reflected the pervasive impacts of coronavirus disease 2019., Conclusions: Mortality, respiratory failure, multiple organ failure, shortness of breath, and recovery are critically important outcomes to be consistently reported in coronavirus disease 2019 trials.

Real-world data (RWD) and the derivations of these data into real-world evidence (RWE) are rapidly expanding from informing healthcare decisions at the patient and health system level to influencing major health policy decisions, including regulatory approvals and coverage. Recent examples include the approval of palbociclib in combination with endocrine therapy for male breast cancer and the inclusion of RWE in the label of paliperidone palmitate for schizophrenia. This interest has created an urgency to develop processes that promote trust in the evidence-generation process. Key stakeholders and decision-makers include patients and their healthcare providers; learning health systems; health technology assessment bodies and payers; pharmacoepidemiologists and other clinical reseachers, and policy makers interested in bioethical and regulatory issues. A key to optimal uptake of RWE is transparency of the research process to enable decision-makers to evaluate the quality of the methods used and the applicability of the evidence that results from the RWE studies. Registration of RWE studies-particularly for hypothesis evaluating treatment effectiveness (HETE) studies-has been proposed to improve transparency, trust, and research replicability. Although registration would not guarantee better RWE studies would be conducted, it would encourage the prospective disclosure of study plans, timing, and rationale for modifications. A joint task force of the International Society for Pharmacoeconomics and Outcomes Research (ISPOR) and the International Society for Pharmacoepidemiology (ISPE) recommended that investigators preregister their RWE studies and post their study protocols in a publicly available forum before starting studies to reduce publication bias and improve the transparency of research methods. Recognizing that published recommendations alone are insufficient, especially without accessible registration options and with no incentives, a group of experts gathered on February 25 and 26, 2019, in National Harbor, Maryland, to explore the structural and practical challenges to the successful implementation of the recommendations of the ISPOR/ISPE task force for preregistration. This positioning article describes a plan for making registration of HETE RWE studies routine. The plan includes specifying the rationale for registering HETE RWE studies, the studies that should be registered, where and when these studies should be registered, how and when analytic deviations from protocols should be reported, how and when to publish results, and incentives to encourage registration. Table 1 summarizes the rationale, goals, and potential solutions that increase transparency, in addition to unique concerns about secondary data studies. Definitions of terms used throughout this report are provided in Table 2., (Copyright © 2020 ISPOR–The Professional Society for Health Economics and Outcomes Research and John Wiley & Sons Limited. [Published by Elsevier and by John Wiley & Sons Limited in Pharmacoepidemiology and Drug Safety]. Published by Elsevier Inc. All rights reserved.)

Routine measurement of outcome of clinical care is increasingly considered important, but implementation in practice is challenging. This article describes (1) how the authors created and implemented a routine outcome measurement cohort of patients with hand and wrist conditions and (2) how these data are used to improve the quality of care and facilitate scientific research. Starting in 2011, routine outcome measurement was implemented at all practice sites (currently 22) of a specialized treatment center for hand and wrist conditions across The Netherlands. The authors developed five "measurement tracks," including measurements administered at predetermined time points covering all hand and wrist disorders and treatments. An online system automatically distributes measurements among patients, which can be accessed by health care professionals. Using this system, the total number of yearly assigned tracks increased up to over 16,500 in 2018, adding up to 85,000 tracks in 52,000 patients in total. All surgeons, therapists, and other staff have direct access to individual patient data and patients have access to their treatment information using a secure patient portal. The data serve as a basis for studies on, among others, comparative effectiveness, prediction modeling, and clinimetric analyses. In conclusion, the authors present the design and successful implementation of a routine outcome measurement system that was made feasible using a highly automated data collection infrastructure, tightly linked to the patient journey and the workflow of health care professionals. The system serves not only as a tool to improve care but also as a basis for scientific research studies.

Objectives: Lack of clarity on the definition of "patient engagement" has been highlighted as a barrier to fully implementing patient engagement in research. This study identified themes within existing definitions related to patient engagement and proposes a consensus definition of "patient engagement in research.", Methods: A systematic review was conducted to identify definitions of patient engagement and related terms in published literature (2006-2018). Definitions were extracted and qualitatively analyzed to identify themes and characteristics. A multistakeholder approach, including academia, industry, and patient representation, was taken at all stages. A proposed definition is offered based on a synthesis of the findings., Results: Of 1821 abstracts identified and screened for eligibility, 317 were selected for full-text review. Of these, 169 articles met inclusion criteria, from which 244 distinct definitions were extracted for analysis. The most frequently defined terms were: "patient-centered" (30.5%), "patient engagement" (15.5%), and "patient participation" (13.4%). The majority of definitions were specific to the healthcare delivery setting (70.5%); 11.9% were specific to research. Among the definitions of "patient engagement," the most common themes were "active process," "patient involvement," and "patient as participant." In the research setting, the top themes were "patient as partner," "patient involvement," and "active process"; these did not appear in the top 3 themes of nonresearch definitions., Conclusion: Distinct themes are associated with the term "patient engagement" and with engagement in the "research" setting. Based on an analysis of existing literature and review by patient, industry, and academic stakeholders, we propose a scalable consensus definition of "patient engagement in research.", (Copyright © 2020 ISPOR–The Professional Society for Health Economics and Outcomes Research. Published by Elsevier Inc. All rights reserved.)

Background: A very large number of studies have reported a stalling of health improvements in the UK since 2010., Sources of Data: Almost all relevant data are produced by the Office for National Statistics and other national statistical agencies., Areas of Agreement: There has been a dramatic slowdown in life expectancy and diverging trends in infant mortality in the UK as a whole and England and Wales, respectively., Areas of Controversy: Many commentators are loath to describe the falls in life expectancy as actual falls or to ascribe blame to the political situation in the UK., Growing Points: Health trends in the UK are worrying and raise important questions about government policies., Areas Timely for Developing Research: These findings point to a need for greater investment in research on the political determinants of health, on the timely detection and interpretation of evidence of worsening health, and on how political and policy processes respond to such findings., (© Crown copyright 2020.)

Quality improvement efforts at the federal level have instituted both rewards and penalties as incentives to improve health care quality. However, neither of these methods has shown long-lasting improvements. Furthermore, many programs have focused on decreasing mortality or hospital readmissions, measurements that are not applicable to many surgical fields, including plastic surgery. One model that has been shown to be effective is a collaborative quality initiative that uses a pay-for-participation method whereby participants learn from one another and institute changes to improve patient care. Many of these changes are process measures that are easier to implement and quicker to show improvement than structural or outcome measures. Regional collaborative quality initiatives have been developed in other surgical specialties such as bariatric surgery and urology. Currently, the authors are establishing a new collaborative quality initiative for hand surgery: the Michigan Collaborative Hand Initiative for Quality in Surgery. It is a collaboration of nine sites with the goal of identifying areas that are in need of quality improvement in hand surgery and implementing measures to improve on them. The authors believe that collaborative quality initiatives will promote high-quality care and should be incorporated into the field of plastic surgery.

Background: Pediatric Intensive Care Unit (PICU) teams provide care for critically ill children with diverse and often complex medical and surgical conditions. Researchers often lack guidance on an approach to select the best outcomes when evaluating this critically ill population. Studies would be enhanced by incorporating multi-stakeholder preferences to better evaluate clinical care. This manuscript outlines the methodology currently being used to develop a PICU Core Outcome Set (COS). This PICU COS utilizes mixed methods, an inclusive stakeholder approach, and a modified Delphi consensus process that will serve as a resource for PICU research programs., Methods: A Scoping Review of the PICU literature evaluating outcomes after pediatric critical illness, a qualitative study interviewing PICU survivors and their parents, and other relevant literature will serve to inform a modified, international Delphi consensus process. The Delphi process will derive a set of minimum domains for evaluation of outcomes of critically ill children and their families. Delphi respondents include researchers, multidisciplinary clinicians, families and former patients, research funding agencies, payors, and advocates. Consensus meetings will refine and finalize the domains of the COS, outline a battery instruments for use in future studies, and prepare for extensive dissemination for broad implementation., Discussion: The PICU COS will be a guideline resource for investigators to assure that outcomes most important to all stakeholders are considered in PICU clinical research in addition to those deemed most important to individual scientists., Trial Registration: COMET database (http://www.comet-initiative.org/, Record ID 1131, 01/01/18)., Competing Interests: Declaration of Competing Interest The authors declare not competing interests., (Copyright © 2020 Elsevier Inc. All rights reserved.)

Background: The National Surgical Quality Improvement Program (NSQIP) database is increasingly used for surgical research. However, it is unclear how well this database represents the breadth of work performed by different specialties., Methods: Using the 2017 NSQIP participant use file and the 2017 Medicare Physician/Supplier Procedure Summary file, we evaluated (1) what proportion of surgical work is captured by NSQIP, (2) what procedures and disciplines are undersampled, and (3) the overall concordance between the NSQIP sample and a national sample., Results: The NSQIP database reported at least one case for 4,463 out of the 5,272 Current Procedures Terminology codes in the Medicare file, potentially capturing 97.8% of surgical work across all 10 specialties. However, this proportion decreased to 72.1% when only procedures with at least 100 cases in NSQIP were considered. Limiting our analysis to only those procedures with 100 cases had markedly different effects by specialty. In part, this was owing to undersampling of minor procedures, which are more common in disciplines such as otolaryngology and urology. The overall association between the size of the NSQIP sample and the Medicare sample was 0.08., Conclusion: Although NSQIP has the potential to capture a diverse surgical caseload, some specialties and procedures are undersampled, limiting the ability for NSQIP to generate valid benchmarks. There was little correlation between the sample sizes in NSQIP and a national sample. Increasing sampling of underrepresented procedures and developing weights to scale NSQIP to a national sample would strengthen the program's ability to inform health outcomes research and provide valid comparisons across procedures and specialties., (Copyright © 2019 Elsevier Inc. All rights reserved.)

Background: In 2018, member clinics of the Virginia Association of Free and Charitable Clinics (VAFCC) provided over 235,500 visits to un/underinsured patients. A survey of VAFCC members found that only 67% report on clinical outcome measures and 56% do not collect social determinant of health (SDOH) data., Objective: The purpose of this project was to determine if the provision of web-based technical assistance toolkits and peer mentoring improve quality and data reporting capacity of VAFCC member clinics., Methods: Clinics that self-selected were provided with 16 weeks of customized interventions including SDOH Data Reporting Toolkit, CMS Quality Data Reporting Toolkit, Electronic Health Record Implementation Toolkit, and peer mentoring., Results: Post-implementation, 100% of participating clinics reported that the resources provided benefited their organizations and increased their capacity to report., Conclusions: The provision of technical assistance, tangible resources, and customized peer mentoring can better equip Free and Charitable Clinics (FCCs) to tell the story of their patients' social barriers and clinical outcomes., Implications for Nursing: DNP prepared nurses working with vulnerable populations are positioned to assist FCCs in documenting their relevance in the safety net system. Enhancing the ability of FCCs to collect and report data will allow them to demonstrate the provision of high-quality care, despite limited resources., (© Copyright 2020 Springer Publishing Company, LLC.)

Aims: Recovery approaches are identified as the overarching framework for improving mental health services for people with severe and enduring conditions. These approaches prioritise living well with long-term conditions, as evidenced by personal recovery outcomes. There is little research demonstrating how to support busy mental health teams, work in this way. This study assessed the impact of introducing a brief measure of recovery, the Hope, Agency and Opportunity (HAO), on the attitudes and behaviours of staff working in community mental health teams, to test whether routine use of such measures facilitates recovery-based practice., Methods: Linguistic analysis assumes that language is indicative of wider attitudes and behaviours. Anonymised clinical notes recorded by community mental health team clinicians were analysed for recovery and non-recovery language, over 30 months. This covered periods before, during and after the introduction of the recovery measure. We used a single-case design ( N  = 1 community mental health team) and hypothesised that clinicians would use recovery-focused language more frequently, and non-recovery-focused language less frequently, following the introduction of the measure, and that these changes would be maintained at 18-month follow-up., Results: Visual inspection of the data indicated that recovery-focused language increased following the introduction of the HAO, though this was not maintained at follow-up. This pattern was not supported by statistical analyses. No clear pattern of change was found for non-recovery-focused language., Conclusions: The introduction of a brief measure of recovery may have influenced staff attitudes and behaviours temporarily. Any longer term impact is likely to depend on ongoing commitment to the use of the measure, without which staff language, attitudes and behaviours return to previous levels.

Background: The lack of coordination of care for complex patients in the hematology setting has prompted nurse case managers (NCMs) to coordinate that care., Objectives: This article aimed to identify the frequency of NCM care coordination activities and quality and resource use outcomes in the complex care of patients in the hematology setting., Methods: NCM aggregate data from complex outpatients with hematologic cancer were retrieved from electronic health records at a comprehensive cancer center in the midwestern United States. Total volume of activities and outcomes were calculated as frequency and percentage., Findings: Care coordination activities included communicating; monitoring, following up, and responding to change; and creating a proactive plan of care. Quality outcomes included improving continuity of care and change in health behavior, and resource use outcomes most documented were patient healthcare cost savings.

Background: Quality control system is one of the hospital information systems. The adoption of quality control system increases the work efficiency; however, to some extent, it also increases the workload for physicians., Objective: The purpose of this study is to investigate the impacts of the quality control system on quality of care (e.g., process and outcome performance)., Methods: Our study collected physicians' behavior information from a large urban hospital in China. We constructed the fixed-effect model to examine the relationship between the quality control system adoption and quality of care., Results: Using the quality control system has a significant (p< 0.001) and negative effect on patients' stay length in the hospital (process performance). Furthermore, using the quality control system has a significant (p< 0.001) and positive effect on the trends of cure rate in the hospital (outcome performance). The coefficient of the dependent variable from the patients' stay length (process performance) is lower than the trends of cure rate (outcome performance)., Conclusions: The controlling system can improve medical quality even though it limits physician behavior to some extent. The controlling system improves both the process performance and outcome performance, and it brings more benefits to outcome performance rather than process performance which means the reflection of the new technology may have more evident on outcome variables.

Introduction: Emergency department (ED) providers and clinicians find that feedback on acute stroke patients is rewarding, valuable to professional development, and helpful for practice improvement. However, feedback is rarely provided, particularly for patients with stroke. Here we describe the implementation of an electronic stroke outcome reporting tool for providing feedback to ED providers., Methods: We sought to evaluate the implementation of an electronic stroke outcome reporting tool at 3 Nashville hospitals. ED staff and providers voluntarily enrolled to receive de-identified reports of clinical (e.g., survival) and operational (e.g., timeliness) outcomes of patients with acute ischemic stroke and were offered free continuing education (CE) credits for following up on patients. We evaluated the implementation of this system through a descriptive evaluation of the feasibility, use of the system and CE, and perceived usefulness of the reports., Results: We enrolled 232 ED providers, including 107 (46%) nurses and 57 (25%) attending physicians and transmitted 55 stroke outcome reports. Reports took 30-60 min to compile and were viewed by a mean of 2.6 (SD 1.5) registered providers; 97.1% found the reports useful and 36.2% reported likelihood to change practice. Continuing education credits were initiated or claimed by 22 providers., Conclusions: An electronic stroke outcome reporting tool was used and liked by ED staff and providers but the time to compile the reports is the major challenge to scalability. Future research should address the effectiveness of this reporting tool as a source of provider education and its impact on clinical and operational outcomes., (Published by Elsevier Inc.)

Transparency in decision modeling remains a topic of rigorous debate among healthcare stakeholders, given tensions between the potential benefits of external access during model development and the need to protect intellectual property and reward research investments. Strategies to increase decision model transparency by allowing direct external access to a model's structure, source code, and data can take on many forms but are bounded between the status quo and free publicly available open-source models. Importantly, some level of transparency already exists in terms of methods and other technical specifications for published models. The purpose of this paper is to delineate pertinent issues surrounding efforts to increase transparency via direct access to models and to offer key considerations for the field of health economics and outcomes research moving forward from a US academic perspective. Given the current environment faced by modelers in academic settings, expected benefits and challenges of allowing direct model access are discussed. The paper also includes suggestions for pathways toward increased transparency as well as an illustrative real-world example used in work with the Institute for Clinical and Economic Review to support assessments of the value of new health interventions. Potential options to increase transparency via direct model access during model development include adequate funding to support the additional effort required and mechanisms to maintain security of the underlying intellectual property. Ultimately, the appropriate level of transparency requires balancing the interests of several groups but, if done right, has the potential to improve models and better integrate them into healthcare priority setting and decision making in the US context.

A patient tracing programme was implemented at an HIV clinic in Trinidad and Tobago to address the problem of defaulters from HIV care and non-adherence to antiretroviral treatment (ART). The study objective was to evaluate the implementation and outcomes of this programme conducted between April and September 2017. Using patient tracing contact methods, trained social workers attempted to contact 1058 patients lost to follow up (LTFU) between July 2016 and March 2017. Of the 1058 LTFU, 192 were ineligible: 27 (2.5%) were transferred to another clinic, 64 (6%) deceased, 35 (3.3%) hospitalised, 50 (4.7%) migrated and 16 (1.5%) incarcerated. Of the 866 eligible patients for patient tracing, 277 (32%) remained permanently LTFU and 589 (68%) were successfully contacted, re-engaged in care and received adherence counselling. Of the 589 who returned to care, 507 (86%) restarted ART. The three most common barriers reported among the 589 who were reengaged were 'forgetting their appointments' (20%), 'being too busy/work' (16%), and 'not wanting to be seen attending the HIV clinic' (12%). The study findings demonstrated the tracing programme as feasible for re-engaging those who are LTFU and highlighted barriers that can be addressed to further improve retention in HIV care among people living with HIV.

Introduction: Mississippi has the seventh highest rate of people newly diagnosed with HIV infection, and the city of Jackson - the capital and largest metropolitan area of Mississippi - has the third highest rate of AIDS diagnoses among all metropolitan areas in the nation. Linking patients to care and proper adherence to antiretroviral therapy is important for achieving viral load suppression and reducing transmission of the virus. However, many HIV-infected patients have social and clinical barriers to achieving viral suppression. To overcome these barriers the Open Arms Healthcare Center has implemented an integrated HIV care services model., Purpose and Objectives: The purpose of this study was to determine whether an integrated model of HIV care influenced linkage to health care, adherence to antiretroviral therapy, and viral load suppression., Intervention Approach: The integrated HIV care services model consisted of 5 care coordination components: 1) case management, 2) HIV health care (primary health care), 3) behavioral health care (mental and substance abuse screening and treatment), 4) adherence counseling (a pharmacist-led intervention), and 5) social support services (transportation, emergency food assistance, housing, and legal assistance)., Evaluation Methods: We used a cross-sectional research design to examine Open Arms electronic health record data collected from 231 patients from January 2015 through December 2017 to determine if an integrated model of HIV care resulted in increased linkage to health care, higher adherence rates, and improved viral load suppression., Results: Findings showed a 38.0% increase in the viral load suppression rate, a 12.8% increase in antiretroviral therapy adherence rate, and an 11.0% increase in retention rates among Open Arms patients receiving integrated HIV care., Implications for Public Health: A comprehensive, holistic approach helps to effectively identify and connect HIV-positive patients to care and relink patients who may have fallen out of care.

Background: Identification of children at risk of developmental delay and/or impairment requires valid measurement of early child development (ECD). We systematically assess ECD measurement tools for accuracy and feasibility for use in routine services in low-income and middle-income countries (LMIC)., Methods: Building on World Bank and peer-reviewed literature reviews, we identified available ECD measurement tools for children aged 0-3 years used in ≥1 LMIC and matrixed these according to when (child age) and what (ECD domains) they measure at population or individual level. Tools measuring <2 years and covering ≥3 developmental domains, including cognition, were rated for accuracy and feasibility criteria using a rating approach derived from Grading of Recommendations, Assessment, Development and Evaluations., Results: 61 tools were initially identified, 8% (n=5) population-level and 92% (n=56) individual-level screening or ability tests. Of these, 27 tools covering ≥3 domains beginning <2 years of age were selected for rating accuracy and feasibility. Recently developed population-level tools (n=2) rated highly overall, particularly in reliability, cultural adaptability, administration time and geographical uptake. Individual-level tool (n=25) ratings were variable, generally highest for reliability and lowest for accessibility, training, clinical relevance and geographical uptake., Conclusions and Implications: Although multiple measurement tools exist, few are designed for multidomain ECD measurement in young children, especially in LMIC. No available tools rated strongly across all accuracy and feasibility criteria with accessibility, training requirements, clinical relevance and geographical uptake being poor for most tools. Further research is recommended to explore this gap in fit-for-purpose tools to monitor ECD in routine LMIC health services., Competing Interests: Competing interests: The following authors on this paper have intellectual inputs and leadership roles for some of the tools reviewed: MDAT (JC), IYCD (VC, TD) and CREDI (DCM and GF). None of these authors rated any of these tools., (© Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.)

This article reports on the Outcomes Program (OP) that the pediatric intensive care unit (PICU) developed to (1) monitor unit-based outcomes trends and safety data, (2) systematically identify targets for process improvement, and (3) implement new projects and care protocols with the aim of improving patient care. Following development of the OP structure in 2013, the authors have coordinated the components of outcomes data and reporting, clinical performance review, outcomes committee, knowledge translation, and implementation science programs to impact practice. Through routine provider updates, educational strategies, and prioritization of focused projects that include structured implementation plans, the model of PICU care has been improved. Described herein is the development of the process to evaluate intensive care unit outcomes and address the need for programmatic change through implementation science principles. Such a process may be of use in other PICUs.

While psychosocial assessment is required in hospice, no requirement exists for documentation of psychosocial outcomes. Social work research has identified the psychosocial and spiritual domains most often and appropriate for social workers to address, and standardized assessment tools have been developed by social workers based on this research. The aims of this study were to document the current use of standardized assessment measures for assessment and documenting outcomes and specifically the use of the Social Work Assessment Tool. A national sample of 203 hospice and palliative care social workers was recruited for this mixed methods study. Results indicated that most social workers used a form developed by a nonsocial worker in the agency for the initial assessment, and many palliative care social workers were not responsible for the assessment. Fewer conducted a follow-up assessment or documented outcomes. No common standardized measure was used. This study confirmed anecdotal evidence about lack of standardized social work assessment and outcomes measurement occurring in hospice and palliative care. As the Centers for Medicare and Medicaid Services is likely to select a standardized tool to measure psychosocial outcomes, social workers have an opportunity to contribute a quantitatively driven outcomes measure, developed by social workers, that will demonstrate effectiveness of social work intervention and lead to a better understanding of the social work role in hospice and palliative care.

Purpose of Review: For older people with long-term conditions, regular structured activities within a community setting meeting others are thought to improve well being and quality of life. Historically local authority-run day care centres were widely available, but austerity measures have meant that in many areas, such provision has been markedly reduced and different models of day care services are being developed. There is little known about outcomes of day care provision for older people with long-term conditions., Recent Findings: This review has critically examined the recent evidence on outcomes of day care provision for older people with long-term conditions and will focus on three areas - physical functioning, intergenerational provision and measurement of outcomes. In terms of interventions to improve physical functioning for older people with long-term conditions attending day care, there are few studies and it is difficult to generalize but there appears to be a trend for positive impact on physical functioning when activities are incorporated into a day care programme. There is a paucity of research on intergenerational provision, however, the small number of studies suggest positive benefits. Studies measuring outcomes for older people with long-term conditions attending day care services are very limited in terms of outcome data with the exception of a Canadian study, which suggested that attendance at day care could reduce hospital attendance and admissions., Summary: This review reveals a lack of research of day care provision for older people with long-term conditions. There is a suggestion in the small number of articles included in this review that there can be benefits both in terms of global outcomes of attendance and in improved physical functioning; there is limited evidence of the value of intergenerational provision. Robust research with collection of meaningful outcomes is required to ensure that the increasing number of older people with long-term conditions are enabled to access high-quality day care provision.

Introduction: The indicators used in the Italian National Outcome Strategy does not include measurement of nursing care outcomes so these have not yet been assessed systematically in our country but only in the context of specific research projects. Positive and negative outcomes of nursing care have been documented in the literature, the latter associated with missed nursing care, a phenomenon that occurs when conditions are such that nurses are unable to deliver planned care to patients., Objectives: To describe the rationale, methodology and main results achieved to date in the development of a regional policy aimed at establishing a panel of indicators for monitoring nursing care-sensitive outcomes hospitals in publicly funded hospitals in the Veneto Region (northern Italy)., Methods: A plurennial, multi-method project based on [1] identification of selection criteria for a Minimum Data Set of indicators; [2] a rapid review of the literature and of the policies established internationally to measure nursing care-sensitive outcomes; [3] the establishment of an initial panel of indicators and evaluation of any critical issues with the chosen indicators, and [4] identification of the most appropriate tool for measuring missed nursing care., Results: The medical and surgical units were considered to be the most suitable settings for the pilot study. Following the literature review, indicators that were already being monitored in the current regional information system were chosen, with the intent to prevent an additional administrative burden to nurses. By using a progressive consensus process, five outcome indicators (functional status, falls, pressure sores, urinary tract infections, aspiration pneumonia) and one process indicator (missed nursing care) were selected., and the tools for measuring the above-mentioned indicators and their related risks, were identified. A regional policy was then established to measure these indicators in a pilot phase, with the intent of implementing them as stable indicators to be measured in the new computerized hospital information system., Conclusions: An initial panel of nursing-sensitive outcome indicators has been defined to be used in Internal Medicine and General Surgery units of hospitals in Italy's Veneto Region. Despite its limitations, the project represents the first effort to create a regional policy to measure the contribution of nursing care to the health outcomes of patients and that will also the identification of potential relations with other variables such as personnel staffing and/or skill mix.

Background: Healthcare workforce availability and planning is of fundamental importance to patients, clinicians, operational managers and strategic leaders alike. Despite much attention and development of plans and policy, a definitive answer remains elusive., Objective: The aim of this article is to encourage colleagues to make explicit their underlying assumed models when undertaking workforce planning., Discussion: It is posited that, akin to making a holistic diagnosis in medicine, understanding workforce issues by uncovering the prisms of presupposition and assumption that we hold about organisations is critical to generating fruitful new insights. Morgan's organisational metaphors are described as one example of a management conceptual model that might help us to illuminate these prisms. Examples are given of how each metaphor alters the way in which we might address our workforce needs and priorities.

Background: Concerns over the need to improve translational aspects of genetics research studies and engaging community members in the research process have been noted in the literature and raised by patient advocates. In addition to the work done by patient advocacy groups, organizations such as the Patient-Centered Outcomes Research Institute advocate for a change in the culture of research from being researcher-driven to becoming more patient-driven., Objective: Our project, Autism Genetics and Outcomes (AutGO), consists of two phases. The goal for phase I was to initiate a general discussion around the main topic (i.e., linking genetics and outcomes research). We used the Patient-Centered Outcomes Research Institute engagement approach to: (aim 1) develop a partnership with a wide range of stakeholders to assess their perspective on developing projects that use both genetics and outcomes research data/principles; (aim 2) identify barriers, facilitators, and needs to promote engagement in patient-centered genetics research; and (aim 3) distill and describe actions that may facilitate utilization of patient/parent perspectives in designing genetics research studies., Methods: In phase I, we formed a community advisory board composed of 33 participants, including outcomes and genetics researchers, clinicians, healthcare providers, patients/family members, and community/industry representatives, and convened six sessions over the 12-month period. We structured the sessions as a combination of online PowerPoint presentations, surveys, and in-person group discussions. During the sessions, we discussed topics pertaining to linking genetics and outcomes research and reviewed relevant materials, including patient stories, research projects, and existing resources., Results: Two sets of surveys, project evaluations (k = 2) and session evaluations (k = 6), were distributed among participants. Feedback was analyzed using content analysis strategies to identify the themes and subthemes. Herein, we describe: the established partnership (aim 1), the identified barriers, facilitators, and needs (aim 2), as well as the lessons learned and suggested recommendations for the research community (aim 3). Following phase I participants' recommendation, in phase II, we will focus on a specific disease (i.e., autism); this projected plan is briefly outlined to highlight the overarching goal of the project and its potential significance. We also discuss the study limitations, challenges for conducting this type of multidisciplinary work, as well as potential ways to address them., Conclusions: The AutGO project has created a unique collaborative forum to facilitate the much needed dialogue between genetics and outcomes researchers, which may contribute to finding ways to improve the translational aspects of genetics research studies.

Although there is a clear volume-outcome relationship in the field of cardiac surgery, the existence of high-performing programs with relatively low case volumes is well established. This report describes the programmatic and institutional processes in place at a lower volume cardiac surgery center in a US military hospital, which have been executed to optimally leverage available resources in the delivery of exemplary patient care. By implementing a highly collaborative practice, rigorous outcomes review, evidence-based standardized care pathways, consistent attending surgeon oversight for care delivery, careful case selection, and a mechanism for support from highly experienced outside cardiac surgeons, the cardiac surgery program at the authors' institution delivers care on par with its higher volume counterparts. A review of these practices and available supporting evidence may provide a model for other programs seeking success in this setting.

Background: Mobile Integrated Health (MIH) leverages specially trained paramedics outside of emergency response to bridge gaps in local health care delivery., Study Objective: To evaluate the efficacy of a MIH led transitional care strategy to reduce acute care utilization., Methods: This was a retrospective cohort analysis of a quality improvement pilot of patients from an urban, single county EMS, MIH transitional care initiative. We utilized a paramedic/social worker (or social care coordinator) dyad to provide in home assessments, medication review, care coordination, and improve access to care. The primary outcome compared acute care utilization (ED visits, observation stays, inpatient visits) 90days before MIH intervention to 90days after., Results: Of the 203 patients seen by MIH teams, inpatient utilization decreased significantly from 140 hospitalizations pre-MIH to 26 post-MIH (83% reduction, p=0.00). ED and observation stays, however, increased numerically, but neither was significant. (ED 18 to 19 stays, p=0.98; observation stays 95 to 106, p=0.30) Primary care visits increased 15% (p=0.11)., Conclusion: In this pilot before/after study, MIH significantly reduces acute care hospitalizations., (Copyright © 2017 Elsevier Inc. All rights reserved.)

Background: Trauma center designation in excess of need risks dilution of experience, reduction in research and training opportunities, and increased costs. The objective of this study was to evaluate the use of a novel data-driven approach (whole-system mathematical modeling of patient flow) to compare the configuration of an existing trauma system with a mathematically optimized design, using the State of Colorado as a case study., Methods: Geographical network analysis and multiobjective optimization, 105,448 patients injured in the State of Colorado between 2009 and 2013, who met the criteria for inclusion in the state-mandated trauma registry maintained by the Colorado Department of Public Health and Environment were included. We used the Nondominant Sorting Genetic Algorithm II to conduct a multiobjective optimization of possible trauma system configurations, with the objectives of minimizing total system access time, and the number of casualties who could not reach the desired level of care., Results: Modeling suggested that system configurations with high-volume Level I trauma centers could be mathematically optimized with two centers rather than the current three (with an estimated annual volume of 970-1,020 and 715-722 severely injured patients per year), four to five Level II centers, and 12 to 13 Level III centers. Configurations with moderate volume Level I centers could be optimized with three such centers (with estimated institutional volumes of 439-502, 699-947, and 520-726 severely injured patients per year), two to five Level II centers, and eight to ten Level III centers., Conclusion: The modeling suggested that the configuration of Colorado's trauma system could be mathematically optimized with fewer trauma centers than currently designated. Consideration should be given to the role of optimization modeling to inform decisions about the ongoing efficiency of trauma systems. However, modeling on its own cannot guarantee improved patient outcome; thus, the use of model results for decision making should take into account wider contextual information., Level of Evidence: Epidemiological, Level IV.

Background: As the United States health care system shifts from traditional volume-based payments to value-based payments, outcomes-based contracts (OBCs) are gaining popularity among payers and manufacturers as a mechanism for the shift toward value. Under this model, stakeholders hope to align drug payment and value to real-world performance metrics (e.g., biomarkers and health care resource utilization)., Objective: To understand the experiences, perceptions, and needs of payers and manufacturers related to OBCs., Methods: The Academy of Managed Care Pharmacy (AMCP) and Xcenda conducted an online survey with AMCP payer and manufacturer members. Participants were asked a series of questions regarding their use of OBCs, barriers to implementation, and elements required in establishing successful OBCs. The importance and urgency of specific impediments to successful OBC implementation were also assessed., Results: The survey was fielded May 12, 2017, to June 7, 2017, yielding 65 responses (35 payers/30 manufacturers). While a minority of payers/manufacturers had at least 1 OBC in place (20%/33%), a majority had interest in future OBC use (71%/63%). Among those with at least 1 OBC in place, 86%/80% of payers/manufacturers had renewed at least 1 OBC in the past 5 years. All payers and 60% of manufacturers with OBCs included compliance measures. Improvement in clinical outcomes was also common (71%/70%) (e.g., reaching set laboratory values goals), and 71%/60% included avoidance of unnecessary medical resource use (e.g., hospitalization and emergency department visit). The barrier most frequently identified by payers in implementing OBCs was evidence that OBCs reduced pharmacy spending (60%), while manufacturers identified the inability to obtain accurate data/outcome measures (73%) as a major limiting factor. Payers/manufacturers endorsed the use of easily measurable outcomes (91%/100%) as most important in establishing successful OBCs. Manufacturers, and to a lesser extent payers, indicated that regulations and legal issues need to be addressed to make progress in OBC implementation (e.g., safe harbor for preapproval health care economic information [77%/46%] and exemption of OBCs for best-price requirements [83%/51%]). The only exception was the clarification of regulations for discussing information outside of an FDA-approved label, in which both manufacturers and payers indicated a very strong need (100%) to be addressed., Conclusions: Surveyed AMCP members are interested in OBCs and recognize their alignment to societal health goals and health care affordability, although actual use of these contracts has been somewhat limited to date. Results from this survey indicate that there is potential for OBC use to increase as barriers and limitations are addressed., Disclosures: This research was sponsored by the Academy of Managed Care Pharmacy and Xcenda. Duhig, Kaufman, and Hughes are employed by Xcenda. Saha is employed by the Academy of Managed Care Pharmacy. Smith has nothing disclose. Study concept and design were contributed by Duhig, Kaufman, Saha, and Hughes. Kaufman and Hughes collected the data, and data interpretation was performed by all the authors. The manuscript was written by Saha, Smith, and Duhig, along with Kaufman and Hughes.

Background: Regional variations in reperfusion times and mortality in patients with ST-segment-elevation myocardial infarction are influenced by differences in coordinating care between emergency medical services (EMS) and hospitals. Building on the Accelerator-1 Project, we hypothesized that time to reperfusion could be further reduced with enhanced regional efforts., Methods: Between April 2015 and March 2017, we worked with 12 metropolitan regions across the United States with 132 percutaneous coronary intervention-capable hospitals and 946 EMS agencies. Data were collected in the ACTION (Acute Coronary Treatment and Intervention Outcomes Network)-Get With The Guidelines Registry for quarterly Mission: Lifeline reports. The primary end point was the change in the proportion of EMS-transported patients with first medical contact to device time ≤90 minutes from baseline to final quarter. We also compared treatment times and mortality with patients treated in hospitals not participating in the project during the corresponding time period., Results: During the study period, 10 730 patients were transported to percutaneous coronary intervention-capable hospitals, including 974 in the baseline quarter and 972 in the final quarter who met inclusion criteria. Median age was 61 years; 27% were women, 6% had cardiac arrest, and 6% had shock on admission; 10% were black, 12% were Latino, and 10% were uninsured. By the end of the intervention, all process measures reflecting coordination between EMS and hospitals had improved, including the proportion of patients with a first medical contact to device time of ≤90 minutes (67%-74%; P <0.002), a first medical contact to device time to catheterization laboratory activation of ≤20 minutes (38%-56%; P <0.0001), and emergency department dwell time of ≤20 minutes (33%-43%; P <0.0001). Of the 12 regions, 9 regions reduced first medical contact to device time, and 8 met or exceeded the national goal of 75% of patients treated in ≤90 minutes. Improvements in treatment times corresponded with a significant reduction in mortality (in-hospital death, 4.4%-2.3%; P =0.001) that was not apparent in hospitals not participating in the project during the same time period., Conclusions: Organization of care among EMS and hospitals in 12 regions was associated with significant reductions in time to reperfusion in patients with ST-segment-elevation myocardial infarction as well as in in-hospital mortality. These findings support a more intensive regional approach to emergency care for patients with ST-segment-elevation myocardial infarction., (© 2017 American Heart Association, Inc.)

Design and Objectives: Every organisation has a unique culture. There is a widely held view that a positive organisational culture is related to positive patient outcomes. Following the Preferred Reporting Items for Systematic Review and Meta-Analyses statement, we systematically reviewed and synthesised the evidence on the extent to which organisational and workplace cultures are associated with patient outcomes., Setting: A variety of healthcare facilities, including hospitals, general practices, pharmacies, military hospitals, aged care facilities, mental health and other healthcare contexts., Participants: The articles included were heterogeneous in terms of participants. This was expected as we allowed scope for wide-ranging health contexts to be included in the review., Primary and Secondary Outcome Measures: Patient outcomes, inclusive of specific outcomes such as pain level, as well as broader outcomes such as patient experience., Results: The search strategy identified 2049 relevant articles. A review of abstracts using the inclusion criteria yielded 204 articles eligible for full-text review. Sixty-two articles were included in the final analysis. We assessed studies for risk of bias and quality of evidence. The majority of studies (84%) were from North America or Europe, and conducted in hospital settings (89%). They were largely quantitative (94%) and cross-sectional (81%). The review identified four interventional studies, and no randomised controlled trials, but many good quality social science studies. We found that overall, positive organisational and workplace cultures were consistently associated with a wide range of patient outcomes such as reduced mortality rates, falls, hospital acquired infections and increased patient satisfaction., Conclusions: Synthesised, although there was no level 1 evidence, our review found a consistently positive association held between culture and outcomes across multiple studies, settings and countries. This supports the argument in favour of activities that promote positive cultures in order to enhance outcomes in healthcare organisations., Competing Interests: Competing interests: None declared., (© Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2017. All rights reserved. No commercial use is permitted unless otherwise expressly granted.)

Mixed methods research is important to health services research because the integrated qualitative and quantitative investigation can give a more comprehensive understanding of complex interventions such as telehealth than can a single-method study. Further, mixed methods research is applicable to translational research and program evaluation. Study designs relevant to telehealth research are described and supported by examples. Quality assessment tools, frameworks to assist in the reporting and review of mixed methods research, and related methodologies are also discussed.

Objectives: The objective of this study was to explore whether reducing the material supplied to external experts during peer review and decreasing the burden of response would maintain review quality into prioritising research questions for a major research funder., Methods and Analysis: Clinical experts who agreed to review documents outlining research for potential commissioning were screened for eligibility and randomised in a factorial design to two types of review materials (long document versus short document) and response modes (structured review form versus free text email response). Previous and current members of the funder's programme groups were excluded. Response quality was assessed by use of a four-point scoring tool and analysed by intention to treat., Results: 554 consecutive experts were screened for eligibility and 460 were randomised (232 and 228 to long document or short document, respectively; 230 each to structured response or free text). 356 participants provided reviews, 90 did not respond and 14 were excluded after randomisation as not eligible.The pooled mean quality score was 2.4 (SD=0.95). The short document scored 0.037 (Cohen's d=0.039) extra quality points over the long document arm, and the structured response scored 0.335 (Cohen's d=0.353) over free text. The allocation did not appear to have any effect on the experts' willingness to engage with the task., Conclusions: Neither providing a short or a long document outlining suggested research was shown to be superior. However, providing a structured form to guide the expert response provided more useful information than allowing free text. The funder should continue to use a structured form to gather responses. It would be acceptable to provide shorter documents to reviewers, if there were reasons to do so., Trial Registration Number: ANZCTR12614000167662., Competing Interests: Competing interests: All authors are employed by the University of Southampton to contribute to the National Institute for Health Research (NIHR). Their continuing employment may to some extent depend on the continued funding of NIHR., (© Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2017. All rights reserved. No commercial use is permitted unless otherwise expressly granted.)

Background: Sarcopenia research may be hampered by the heterogeneity of populations and outcome measures used in clinical studies., Aim: The aim of this study was to describe the inclusion/exclusion criteria and outcome measures used in ongoing research in sarcopenia., Methods: All active intervention studies registered in the World Health Organization with the keyword sarcopenia were included. Study design, type of intervention, inclusion/exclusion criteria and outcome measures were registered and classified., Results: In April 2014, 151 studies on sarcopenia were registered in the WHO database. One hundred twenty-three were intervention studies. Most trials (94.3 %) were single centre and randomized (93.5 %), 51.2 % were double blind. Nutritional interventions (36.6 %), physical exercise (12.2 %) or both (19.5 %) were the most common interventions tested. Only 54.4 % included subjects of both genders, and 46.3 % had an upper age limit. Definition of the target populations was heterogeneous, with 57.7 % including healthy subjects and none using recent definitions of sarcopenia. Lifestyle and the degree of physical activity of subjects were not described or considered in most cases (79.7 %). Subjects with cardiovascular, neuropsychiatric or metabolic disorders and those with physical disability were usually excluded. Muscle mass and muscle strength were the primary outcome variables in 28.5 and 29.5 % of studies and physical performance in 19.5 %, but only 4.1 % used the three variables used the three of them. An additional 26.8 % used biological outcome variables. Little information and agreement existed in the way muscle and physical performance parameters were measured., Conclusions: We found a large heterogeneity in trial design, definition of populations and outcome measures in present research.

One of the first steps in designing and conducting a research study is identifying the primary and any secondary study outcomes. In an experimental, quasi-experimental, or analytic observational research study, the primary study outcomes arise from and align directly with the primary study aim or objective. Likewise, any secondary study outcomes arise from and directly align with any secondary study aim or objective. One designated primary study outcome then forms the basis for and is incorporated literally into the stated hypothesis. In a Methods section, authors clearly state and define each primary and any secondary study outcome variable. In the same Methods section, authors clearly describe how all primary and any secondary study outcome variables were measured. Enough detail is provided so that a clinician, statistician, or informatician can know exactly what is being measured and that other investigators could duplicate the measurements in their research venue. The authors provide published substantiation (preferably) or other documented evidence of the validity and reliability of any applied measurement instrument, tool, or scale. A common pitfall-and often fatal study design flaw-is the application of a newly created ("home-grown") or ad hoc modification of an existing measurement instrument, tool, or scale-without any supporting evidence of its validity and reliability. An optimal primary outcome is the one for which there is the most existing or plausible evidence of being associated with the exposure of interest or intervention. Including too many primary outcomes can (a) lead to an unfocused research question and study and (b) present problems with interpretation if the treatment effect differed across the outcomes. Inclusion of secondary variables in the study design and the resulting manuscript needs to be justified. Secondary outcomes are particularly helpful if they lend supporting evidence for the primary endpoint. A composite endpoint is an endpoint consisting of several outcome variables that are typically correlated with each. In designing a study, researchers limit components of a composite endpoint to variables on which the intervention of interest would most plausibly have an effect, and optimally with preliminary evidence of an effect. Ideally, components of a strong composite endpoint have similar treatment effect, frequency, and severity-with the most important being similar severity.

Large volumes of data and multiple computing platforms are now universal components of paediatric cardiovascular medicine, but are in a constant state of evolution. Often, multiple sets of related data reside in disconnected "silos", resulting in clinical, administrative, and research activities that may be duplicative, inefficient, and at times inaccurate. Comprehensive and integrated data solutions are needed to facilitate these activities across congenital heart centres. We describe methodology, key considerations, successful use cases, and lessons learnt in developing an integrated data platform across our congenital heart centre.

Context: Workforce productivity is poorly defined in health care. Particularly in the field of pediatric palliative care (PPC), the absence of consensus metrics impedes aggregation and analysis of data to track workforce efficiency and effectiveness. Lack of uniformly measured data also compromises the development of innovative strategies to improve productivity and hinders investigation of the link between productivity and quality of care, which are interrelated but not interchangeable., Objectives: To review the literature regarding the definition and measurement of productivity in PPC; to identify barriers to productivity within traditional PPC models; and to recommend novel metrics to study productivity as a component of quality care in PPC., Methods: PubMed ® and Cochrane Database of Systematic Reviews searches for scholarly literature were performed using key words (pediatric palliative care, palliative care, team, workforce, workflow, productivity, algorithm, quality care, quality improvement, quality metric, inpatient, hospital, consultation, model) for articles published between 2000 and 2016. Organizational searches of Center to Advance Palliative Care, National Hospice and Palliative Care Organization, National Association for Home Care & Hospice, American Academy of Hospice and Palliative Medicine, Hospice and Palliative Nurses Association, National Quality Forum, and National Consensus Project for Quality Palliative Care were also performed. Additional semistructured interviews were conducted with directors from seven prominent PPC programs across the U.S. to review standard operating procedures for PPC team workflow and productivity., Results: Little consensus exists in the PPC field regarding optimal ways to define, measure, and analyze provider and program productivity. Barriers to accurate monitoring of productivity include difficulties with identification, measurement, and interpretation of metrics applicable to an interdisciplinary care paradigm. In the context of inefficiencies inherent to traditional consultation models, novel productivity metrics are proposed., Conclusions: Further research is needed to determine optimal metrics for monitoring productivity within PPC teams. Innovative approaches should be studied with the goal of improving efficiency of care without compromising value., (Copyright © 2016 American Academy of Hospice and Palliative Medicine. Published by Elsevier Inc. All rights reserved.)

Objective: To learn how minority and underserved communities would set priorities for patient-centered outcomes research (PCOR)., Data Sources: Sixteen groups (n = 183) from minority and underserved communities in two states deliberated about PCOR priorities using the simulation exercise CHoosing All Together (CHAT). Most participants were minority, one-third reported income <$10,000, and one-fourth reported fair/poor health., Design: Academic-community partnerships adapted CHAT for PCOR priority setting using existing research agendas and interviews with community leaders, clinicians, and key informants., Data Collection: Tablet-based CHAT collected demographic information, individual priorities before and after group deliberation, and groups' priorities., Principal Findings: Individuals and groups prioritized research on Quality of Life, Patient-Doctor, Access, Special Needs, and (by total resources spent) Compare Approaches. Those with less than a high school education were less likely to prioritize New Approaches, Patient-Doctor, Quality of Life, and Families/Caregivers. Blacks were less likely to prioritize research on Causes of Disease, New Approaches, and Compare Approaches than whites. Compare Approaches, Special Needs, Access, and Families/Caregivers were significantly more likely to be selected by individuals after compared to before deliberation., Conclusions: Members of underserved communities, in informed deliberations, prioritized research on Quality of Life, Patient-Doctor, Special Needs, Access, and Compare Approaches., (© Health Research and Educational Trust.)

The aim of this paper is to identify and show examples of good practice of public health promotion. For this, uniform quality criteria were worked out under consideration of national and international scientific literature.For the identification of examples of good practice, a comparison of different quality criteria was carried out and combined with each other in a first step. In the following step, examples of good practice were identified after a comprehensive search. The choice of the "good-practice" projects is exemplary and lays no claim to completeness.6 main quality criteria (QC) of programs promoting physical activity could be identified in the national and international context. The analysis showed altogether 10 projects which can exemplarily be classified as examples of good practice of the target groups of children and teenagers, adults, older people and people with pre-existing illnesses. These projects, however, show major differences in their (methodological) quality.The analysis reports a lack of "Good-Practice" examples. Deficits lie mainly in documentation and sustainability. Because of incomplete documentation, an assessment as a "Good-Practice" example is only possible to a limited extent; a lot of information, particularly in the evaluation, is missing., (© Georg Thieme Verlag KG Stuttgart · New York.)

Maintenance of Certification (MOC) was designed to assess physician competencies including operative case volume and outcomes. This information, if collected consistently and systematically, can be used to facilitate quality improvement. Information automatically extracted from the electronic medical record (EMR) can be used as a prompt to compile these data. We developed an EMR-based program called MyPOD (My Personal Outcomes Data) to track surgical outcomes at our institution. We compared occurrences reported in the first 18 months to those captured in the American College of Surgeons National Surgical Quality Improvement Program-Pediatric (ACS NSQIP-P) over the same time period. During the first 18 months of using MyPOD, 691 cases were captured in both MyPOD and NSQIP-P. There were 48 cases with occurrences in NSQIP-P (6.9% occurrence rate). MyPOD captured 33% of the occurrences and 83% of the deaths reported in NSQIP-P. Use of the MyPOD program helped to identify series of complications and facilitated systematic change to improve outcomes. MyPOD provides comparative data that is essential in performance evaluation and facilitates quality improvement in surgery. This program and similar EMR-driven tools are becoming essential components of the MOC process. Our initial review has revealed opportunities for improvement in self-reporting which we can continue to measure by comparison to NSQIP-P. In addition, it has identified systems issues that have led to hospital-wide improvements.