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Several studies demonstrate gender and partisan differences among Americans in COVID-19 socioeconomic consequences, attitudes, and behaviors. The authors of this study use six waves of panel survey data to explore the intersection of gender and party across COVID-19 mitigation behaviors, concerns, and policy preferences. The authors observe small gender gaps on several measures; however, partisan differences are larger than gender differences when considering the interaction between gender and partisanship. Democratic women are more similar to Democratic men on these measures than to Republican women. On virtually all measures, Republican women report lower levels of mitigation behaviors, worries, and support for expansive government policies compared to Democratic women and men. Analyzing the interaction of gender and partisanship illuminates how individuals navigated the pandemic with respect to identity factors that often pull in different directions. These findings suggest that one's partisan identity is more consequential than gender when it comes to COVID behaviors, concerns, and policy preferences.

BackgroundRecently-updated global guidelines for cervical cancer screening incorporated new technologies-most significantly, the inclusion of HPV DNA detection as a primary screening test-but leave many implementation decisions at countries' discretion. We sought to develop recommendations for Malawi as a test case since it has the second-highest cervical cancer burden globally and high HIV prevalence. We incorporated updated epidemiologic data, the full range of ablation methods recommended, and a more nuanced representation of how HIV status intersects with cervical cancer risk and exposure to screening to model outcomes of different approaches to screening.MethodsUsing a Markov model, we estimate the relative health outcomes and costs of different approaches to cervical cancer screening among Malawian women. The model was parameterized using published data, and focused on comparing "triage" approaches-i.e., lesion treatment (cryotherapy or thermocoagulation) at differing frequencies and varying by HIV status. Health outcomes were quality-adjusted life years (QALYs) and deaths averted. The model was built using TreeAge Pro software.ResultsThermocoagulation was more cost-effective than cryotherapy at all screening frequencies. Screening women once per decade would avert substantially more deaths than screening only once per lifetime, at relatively little additional cost. Moreover, at this frequency, it would be advisable to ensure that all women who screen positive receive treatment (rather than investing in further increases in screening frequency): for a similar gain in QALYs, it would cost more than four times as much to implement once-per-5 years screening with only 50% of women treated versus once-per-decade screening with 100% of women treated. Stratified screening schedules by HIV status was found to be an optimal approach.ConclusionsThese results add new evidence about cost-effective approaches to cervical cancer screening in low-income countries. At relatively infrequent screening intervals, if resources are limited, it would be more cost-effective to invest in scaling up thermocoagulation for treatment before increasing the recommended screening frequency. In Malawi or countries in a similar stage of the HIV epidemic, a stratified approach that prioritizes more frequent screening for women living with HIV may be more cost-effective than population-wide recommendations that are HIV status neutral.

BackgroundWhile the Affordable Care Act's Medicaid expansion improved healthcare coverage and access for millions of uninsured Americans, less is known about its effects on the overall accessibility and quality of care across all payers. Rapid volume increases of newly enrolled Medicaid patients might have unintentionally strained accessibility or quality of care. We assessed changes in physician office visits and high- and low-value care associated with Medicaid expansion across all payers.MethodsPrespecified, quasi-experimental, difference-in-differences analysis pre and post Medicaid expansion (2012-2015) in 8 states that did and 5 that did not choose to expand Medicaid. Physician office visits sampled from the National Ambulatory Medical Care Survey, standardized with U.S. Census population estimates. Outcomes included visit rates per state population and rates of high or low-value service composites of 10 high-value measures and 7 low-value care measures respectively, stratified by year and insurance.ResultsWe identified approximately 143 million adults utilizing 1.9 billion visits (mean age 56; 60% female) during 2012-2015. Medicaid visits increased in expansion states post-expansion compared to non-expansion states by 16.2 per 100 adults (p = 0.031 95% CI 1.5-31.0). New Medicaid visits increased by 3.1 per 100 adults (95% CI 0.9-5.3, p = 0.007). No changes were observed in Medicare or commercially-insured visit rates. High or low-value care did not change for any insurance type, except high-value care during new Medicaid visits, which increased by 4.3 services per 100 adults (95% CI 1.1-7.5, p = 0.009).ConclusionsFollowing Medicaid expansion, the U.S. healthcare system increased access to care and use of high-value services for millions of Medicaid enrollees, without observable reductions in access or quality for those enrolled in other insurance types. Provision of low-value care continued at similar rates post-expansion, informing future federal policies designed to improve the value of care.

BackgroundSocial media, particularly Twitter, has played an increasing role in networking and the dissemination of neurosurgical research. Despite extensive study on financial conflicts of interest (FCOI) influencing medical research, little is known about the function of conflicts of interest on social media and the influence they may have. In this study, we sought to evaluate the FCOI of physicians followed on Twitter by the top three neurosurgical journals.Materials and methodsWe analysed the FCOI of United States (US) physicians followed by the top three neurosurgical journals (Journal of Neurosurgery, World Neurosurgery, Neurosurgery) on Twitter. We determined the FCOIs of each physician using the Open Payments Search Tool located at https://openpaymentsdata.cms.gov and summed the data between 2014 and 2021.ResultsWe examined 2651 Twitter accounts followed by the top three neurosurgical journals on Twitter and determined 705 (26.6%) belonged to US physicians. Of the 705 US physicians, 577 (81.8%) received general payments between 2014 and 2021. After excluding US physicians currently in residency or fellowship (n = 157), this percentage increased to 93.2% (n = 511/548). In total, nearly $70 million in general payments were made between 2014 and 2021.ConclusionThese findings raise questions regarding the interaction between neurosurgical journals and the medical community on Twitter. This study may serve as the basis for future work on best practices for medical journals navigating their affiliations on Twitter.

Policy Points There is growing attention to the role of immigration and immigrant policies in shaping the health and well-being of immigrants of color. The early 21st century in the United States has seen several important achievements in inclusionary policies, practices, and ideologies toward immigrants, largely at subnational levels (e.g., states, counties, cities/towns). National policies or practices that are inclusionary toward immigrants are often at the discretion of the political parties in power. Early in the 21st century, the United States has implemented several exclusionary immigration and immigrant policies, contributing to record deportations and detentions and worsening inequities in the social drivers of health.

Policy Points Clarifications to Senate Bill (SB) 1152 are necessary to address the differences between inpatient and emergency department (ED) discharge processes, determine how frequently an ED must deliver the SB 1152 bundle of services to a single patient, and establish expectations for compliance during off-hours when social services are unavailable. Because homelessness cannot be resolved in a single ED visit, the state should provide funding to support housing-focused case workers that will follow patients experiencing homelessness (PEH) through the transition from temporary shelters to permanent supportive housing. Medi-Cal could fund the delivery of the SB 1152 bundle of services to defray the costs to public hospitals that provide care for high numbers of PEH. California legislators should consider complementary legislation to increase funding for shelters so that sufficient capacity is available to accept PEH from EDs and hospitals, and to fund alternative strategies to prevent poverty and the upstream root causes of homelessness itself.ContextPrompted by stories of "patient dumping," California enacted Senate Bill (SB) 1152, which mandates that hospitals offer patients experiencing homelessness (PEH) a set of resources at discharge to ensure safety and prevent dumping.MethodsTo evaluate interventions to meet the requirements of SB 1152 across three emergency departments (EDs) of a Los Angeles County public hospital system with a combined annual census of 260,000 visits, we used an explanatory sequential mixed methods approach, focusing first on quantitative evaluation and then using information from qualitative interviews to explain the quantitative findings.FindingsIn total, 2.9% (1,515/52,607) of encounters involved PEH. Documentation of compliance with the eight required components of SB 1152 was low, ranging from 9.0% to 33.9%. Twenty-five provider interviews confirmed support for providing assistance to PEH in the ED, but the participants described barriers to compliance, including challenges in implementing universal screening for homelessness, incongruity of the requirements with the ED setting, the complexity of the patients, and the limitations of SB 1152 as a health policy.ConclusionsDespite operationalizing universal screening for homelessness, we found poor compliance with SB 1152 and identified multiple barriers to implementation.

ObjectiveTo describe how a partnered evaluation of the Whole Health (WH) system of care-comprised of the WH pathway, clinical care, and well-being programs-produced patient outcomes findings, which informed Veterans Health Administration (VA) policy and system change.Data sourcesElectronic health records (EHR)-based cohort of 1,368,413 patients and a longitudinal survey of Veterans receiving care at 18 WH pilot medical centers.Study designIn partnership with VA operations, we focused the evaluation on the impact of WH services utilization on Veterans' (1) use of opioids and (2) care experiences, care engagement, and well-being. Outcomes were compared between Veterans who did and did not use WH services identified from the EHR.Data collectionPharmacy records and WH service data were obtained from the VA EHR, including WH coaching, peer-led groups, personal health planning, and complementary, integrative health therapies. We surveyed veterans at baseline and 6 months to measure patient-reported outcomes.Principal findingsOpioid use decreased 23% (31.5-6.5) to 38% (60.3-14.4) among WH users depending on level of WH use compared to a secular 11% (12.0-9.9) decrease among Veterans using Conventional Care. Compared to Conventional Care users, WH users reported greater improvements in perceptions of care (SMD = 0.138), engagement in health care (SMD = 0.118) and self-care (SMD = 0.1), life meaning and purpose (SMD = 0.152), pain (SMD = 0.025), and perceived stress (SMD = 0.191).ConclusionsEvidence developed through this partnership yielded key VA policy changes to increase Veteran access to WH services. Findings formed the foundation of a congressionally mandated report in response to the Comprehensive Addiction and Recovery Act, highlighting the value of WH and complementary, integrative health and well-being programs for Veterans with pain. Findings subsequently informed issuance of an Executive Decision Memo mandating the integration of WH into mental health and primary care across VA, now one lane of modernization for VA.

Conditional cash lotteries (CCLs) provide people with opportunities to win monetary prizes only if they make specific behavioral changes. We conduct a case study of Ohio's Vax-A-Million initiative, the first CCL targeting COVID-19 vaccinations. Forming a synthetic control from other states, we find that Ohios incentive scheme increases the vaccinated share of state population by 1.5 percent (0.7 pp), costing sixty-eight dollars per person persuaded to vaccinate. We show this causes significant reductions in COVID-19, preventing at least one infection for every six vaccinations that the lottery had successfully encouraged. These findings are promising for similar CCL public health initiatives.

Policy Points In 2012, Colorado and Washington were the first states to legalize recreational marijuana through voter-initiated ballots. In these states, counties could restrict or ban local marijuana facilities through a variety of regulatory methods such as ordinances and zoning. County-level recreational marijuana policies in Washington and Colorado vary substantially, with 69.2% of Washington counties and 23.4% of Colorado counties allowing all types of recreational marijuana facilities as of April 1, 2019. After Colorado and Washington legalized recreational marijuana, many counties modified their marijuana policies over time, with shifts in county policy often preceded by advocacy and information-seeking activities.ContextIn 2012, Colorado and Washington were the first states to legalize recreational marijuana. Both allowed local governments to further regulate the availability of marijuana facilities in their jurisdictions. As early adopters, these states are important quasi-natural experiments to examine local marijuana policy and policy change processes, including key stakeholders and arguments.MethodsWe conducted a policy scan of county-level recreational marijuana ordinances and regulations in Colorado and Washington. Data collected included policy documents from counties in both states and newspaper articles. We used a mixed-methods approach to describe the types of county-level recreational marijuana policies enacted by April 1, 2019; identify key policy stakeholders involved in local policy debates; and explore arguments used in support or opposition of county policies. We also selected four counties that represent three county policy environments (all marijuana facility types allowed, some marijuana facility types allowed, all marijuana facility types prohibited) and described the policy changes within these counties since recreational marijuana was legalized.FindingsBy April 1, 2019, Colorado counties were less likely than Washington counties to allow marijuana facilities-48.4% of Colorado counties prohibited recreational marijuana facilities in their jurisdiction compared to 23.1% of Washington counties. Since state legalization, several counties in both states have made substantial marijuana facility policy modifications, often preceded by information-seeking activities. Primary stakeholders involved in policy debates included elected officials, law enforcement, individual growers/farmers, marijuana business license applicants, parents, and residents. Proponents referenced local economic gain, reduced crime, and potential health benefits of marijuana as arguments in favor of permitting local facilities, whereas opponents pointed to economic loss, negative health and public health issues, public safety concerns, and existing federal law. Both sides referenced local public opinion data to support their position.ConclusionsBy early 2019, a patchwork of local marijuana policies was in place in Colorado and Washington. We identify key areas of policy and public health research needed to inform future local marijuana policy decisions, including the impact of legalization on public health outcomes (particularly for youth) and public safety.

Since the 1960s the immigrant population in the United States has increased fourfold, reaching 44.7 million, or 13.7 percent of the US population, in 2018. The shifting immigrant demography presents several challenges for US health policy makers. We examine recent trends in immigrant health and health care after the Great Recession and the nationwide implementation of the Affordable Care Act. Recent immigrants are more likely to have lower incidence of chronic health conditions than other groups in the US, although these differences vary along the citizenship and documentation status continuum. Health care inequities among immigrants and US-born residents increased after the Great Recession and later diminished after the Affordable Care Act took effect. Unremitting inequities remain, however, particularly among noncitizen immigrants. The number of aging immigrants is growing, which will present a challenge to the expansion of coverage to this population. Health care and immigration policy changes are needed to integrate immigrants successfully into the US health care system.

Policy Points The historical mission of public health is to ensure the conditions in which people can be healthy, and yet the field of public health has been distracted from this mission by an excessive reliance on randomized-control trials, a lack of formal theoretical models, and a fear of politics. The field of population health science has emerged to rigorously address all of these constraints. It deserves ongoing and formal institutional support.

BackgroundExpanding healthcare innovations from the local to national level is a complex pursuit requiring careful assessment of all relevant factors. In this study (a component of a larger eConsult programme of research), we aimed to identify the key factors involved in the spread and scale-up of a successful regional eConsult model across Canada.MethodsWe conducted a constant comparative thematic analysis of stakeholder discussions captured during a full-day National eConsult Forum meeting held in Ottawa, Canada, on 11 December 2017. Sixty-four participants attended, representing provincial and territorial governments, national organisations, healthcare providers, researchers and patients. Proceedings were recorded, transcribed and underwent qualitative analysis using the Framework for Applied Policy Research.ResultsThis study identified four main themes that were critical to support the intentional efforts to spread and scale-up eConsult across Canada, namely (1) identifying population care needs and access problems, (2) engaging stakeholders who were willing to roll up their sleeves and take action, (3) building on current strategies and policies, and (4) measuring and communicating outcomes.ConclusionsEfforts to promote innovation in healthcare are more likely to succeed if they are based on an understanding of the forces that drive the spread and scale-up of innovation. Further research is needed to develop and strengthen the conceptual and applied foundations of the spread and scale-up of healthcare innovations, especially in the context of emergent learning health systems across Canada and beyond.

Millions of older Americans are homebound and may benefit from home-based medical care. We characterized the receipt of this care among community-dwelling, fee-for-service Medicare beneficiaries ages sixty-five and older surveyed in the National Health and Aging Trends Study between 2011 and 2017. Five percent of those surveyed received any home-based medical care between 2011 and 2017 (mean follow-up time per person was 3.4 years), and 75 percent of home-based medical care recipients were homebound. Only 11 percent of the total homebound population (approximately 4.4 million fee-for-service Medicare beneficiaries in 2017) received any home-based medical care between 2011 and 2017. Receipt of home-based medical care was more common among homebound beneficiaries living in metropolitan areas and assisted living facilities, which suggests that geographic factors create operational efficiencies for home-based medical care practices that may improve their financial sustainability within the fee-for-service reimbursement setting. The significant unmet needs of this high-need, high-cost population and the known health and cost benefits of home-based medical care should spur stakeholders to expand the availability of this care.

Health systems continue to grow in size. Financial integration-the ownership of hospitals or physician practices-often has anticompetitive effects that contribute to the higher prices for health care seen in the US. To determine whether the potential harms of financial integration are counterbalanced by improvements in quality, we surveyed nationally representative samples of hospitals (n = 739) and physician practices (n = 2,189), stratified according to whether they were independent or were owned by complex systems, simple systems, or medical groups. The surveys included nine scales measuring the level of adoption of diverse, quality-focused care delivery and payment reforms. Scores varied widely across hospitals and practices, but little of this variation was explained by ownership status. Quality scores favored financially integrated systems for four of nine hospital measures and one of nine practice measures, but in no case favored complex systems. Greater financial integration was generally not associated with better quality.

Sugar-sweetened beverages (SSBs) increase chronic disease risk. We estimated the impact on employee health and health care spending of banning SSB sales in California-based health care organizations. We used survey data from a large, multisite health care organization in California, sampling 2,276 employees three months before and twelve months after a workplace SSB sales ban was imposed. We incorporated the survey data into a simulation model to estimate chronic disease incidence and costs. We estimated that an SSB ban as effective as the one observed would save about $300,000 per 10,000 people over ten years among similar employers, as a result of averted health care and productivity spending-after both SSB sales losses and non-SSB beverage sales gains were accounted for. Sales bans would typically need to reduce SSB consumption by 2.2 ounces per person per day for lost revenue to be fully offset if there were no increase in non-SSB beverage sales.

Policy makers are increasingly investing in programs focused on identifying and addressing the nonmedical needs of high-utilizing Medicaid beneficiaries, yet little is known about these programs' implementation. This study provides an overview of early progress in and strategies used to implement California's Whole Person Care (WPC) Pilot Program, a $3 billion Medicaid Section 1115(a) waiver demonstration project focused on improving the integrated delivery of health, behavioral health, and social services for Medicaid beneficiaries who use acute and costly services in multiple service sectors. WPC pilots reported significant progress in developing partnerships, data-sharing infrastructure, and services needed to coordinate care for identified patient populations. We also identified major barriers to WPC implementation, such as difficulty identifying and engaging eligible beneficiaries and the lack of affordable housing. Our findings offer insights to leaders and policy makers interested in testing new approaches for improving the health and well-being of medically and socially complex patients.

Trials of decision aids developed for use in shared decision making find that patients engaged in that process tend to choose more conservative treatment for preference-sensitive conditions. Shared decision making is a collaborative process in which clinicians and patients discuss trade-offs and benefits of specific treatment options in light of patients' values and preferences. Decision aids are paper, video, or web-based tools intended to help patients match personal preferences with available treatment options. We analyzed data for 2012-15 about patients within the ten High Value Healthcare Collaborative member systems who were exposed to condition-specific decision aids in the context of consultations for hip and knee osteoarthritis, with the intention that the aids be used to support shared decision making. Compared to matched patients not exposed to the decision aids, those exposed had two-and-a-half times the odds of undergoing hip replacement surgery and nearly twice the odds of undergoing knee replacement surgery within six months of the consultation. These findings suggest that health care systems adopting decision aids developed for use in shared decision making, and used in conjunction with hip and knee osteoarthritis consultations, should not expect reduced surgical utilization.

Policy Points Health care systems and policymakers in the United States increasingly use language related to social determinants of health in their strategies to improve health and control costs, but the terms used are often misunderstood, conflated, and confused. Greater clarity on key terms and the concepts underlying them could advance policies and practices related to social determinants of health-including by defining appropriate roles and limits of the health care sector in this multisector field.

OBJECTIVE:The Affordable Care Act (ACA) introduced reforms to mitigate adverse selection into and within the individual insurance market. We examined the traits and predicted medical spending of enrollees in California post-ACA. DATA SOURCES:Survey of 2,103 enrollees in individual market plans, on- and off-exchange, in 2014. STUDY DESIGN:We compared actual versus potential participants using data from the 2014 California Health Interview Survey on respondents who were individually insured or uninsured. We predicted annual medical spending for each group using age, sex, self-rated health, body mass index, smoking status, and income. PRINCIPAL FINDINGS:Average predicted spending was similar for actual ($3,377, 95 percent CI [$3,280-$3,474]) and potential participants ($3,257 [$3,060-$3,454]); however, some vulnerable subgroups were underrepresented. On- versus off-exchange enrollees differed in sociodemographic and health traits with modest differences in spending ($3,448 [$3,330-$3,565] vs. $3,175 [$3,012-$3,338]). CONCLUSIONS:We did not find evidence of selection into the overall insurance pool in 2014; however, differences by exchange status reflect the importance of including off-exchange enrollees in analyses and the pool for risk adjustment. California's post-ACA individual market has been a relative success, highlighting the importance of state policies and outreach efforts to encourage participation in the market.

Policy Points: Historically, reforms that have increased the duration of job-protected paid parental leave have improved women's economic outcomes. By targeting the period around childbirth, access to paid parental leave also appears to reduce rates of infant mortality, with breastfeeding representing one potential mechanism. The provision of more generous paid leave entitlements in countries that offer unpaid or short durations of paid leave could help families strike a balance between the competing demands of earning income and attending to personal and family well-being.ContextPolicies legislating paid leave from work for new parents, and to attend to individual and family illness, are common across Organisation for Economic Co-operation and Development (OECD) countries. However, there exists no comprehensive review of their potential impacts on economic, social, and health outcomes.MethodsWe conducted a systematic review of the peer-reviewed literature on paid leave and socioeconomic and health outcomes. We reviewed 5,538 abstracts and selected 85 published papers on the impact of parental leave policies, 22 papers on the impact of medical leave policies, and 2 papers that evaluated both types of policies. We synthesized the main findings through a narrative description; a meta-analysis was precluded by heterogeneity in policy attributes, policy changes, outcomes, and study designs.FindingsWe were able to draw several conclusions about the impact of parental leave policies. First, extensions in the duration of paid parental leave to between 6 and 12 months were accompanied by attendant increases in leave-taking and longer durations of leave. Second, there was little evidence that extending the duration of paid leave had negative employment or economic consequences. Third, unpaid leave does not appear to confer the same benefits as paid leave. Fourth, from a population health perspective, increases in paid parental leave were consistently associated with better infant and child health, particularly in terms of lower mortality rates. Fifth, paid paternal leave policies of adequate length and generosity have induced fathers to take additional time off from work following the birth of a child. How medical leave policies for personal or family illness influence health has not been widely studied.ConclusionsThere is substantial quasi-experimental evidence to support expansions in the duration of job-protected paid parental leave as an instrument for supporting women's labor force participation, safeguarding women's incomes and earnings, and improving child survival. This has implications, in particular, for countries that offer shorter durations of job-protected paid leave or lack a national paid leave entitlement altogether.

ObjectiveTo identify positive deviant (PD) physician organizations of Accountable Care Organizations (ACOs) with robust performance management systems (PMSYS).Data sourceThird National Survey of Physician Organizations (NSPO3, n = 1,398).Study designOrganizational and external factors from NSPO3 were analyzed.Data collection/extraction methodsLinear regression estimated the association of internal and contextual factors on PMSYS. Two cutpoints (75th/90th percentiles) identified PDs with the largest residuals and highest PMSYS scores.Principal findingsA total of 65 and 41 PDs were identified using 75th and 90th percentiles cutpoints, respectively. The 90th percentile more strongly differentiated PDs from non-PDs. Having a high proportion of vulnerable patients appears to constrain PMSYS development.ConclusionsOur PD identification method increases the likelihood that PD organizations selected for in-depth inquiry are high-performing organizations that exceed expectations.

Precision medicine is making an impact on patients, health care delivery systems, and research participants in ways that were only imagined fifteen years ago when the human genome was first sequenced. Discovery of disease-causing and drug-response genetic variants has accelerated, while adoption into clinical medicine has lagged. We define precision medicine and the stakeholder community required to enable its integration into research and health care. We explore the intersection of data science, analytics, and precision medicine in the formation of health systems that carry out research in the context of clinical care and that optimize the tools and information used to deliver improved patient outcomes. We provide examples of real-world impact and conclude with a policy and economic agenda necessary for the adoption of this new paradigm of health care both in the United States and globally.

The Commission on Investing in Health (CIH), an international group of 25 economists and global health experts, published its Global Health 2035 report in The Lancet in December 2013. The report laid out an ambitious investment framework for achieving a "grand convergence" in health-a universal reduction in deaths from infectious diseases and maternal and child health conditions-within a generation. This article captures ten key elements that the CIH found important to its process and successful outcomes. The elements are presented in chronological order, from inception to post-publication activities. The starting point is to identify the gap that a new commission could help to narrow. A critical early step is to choose a chair who can help to set the agenda, motivate the commissioners, frame the commission's analytic work, and run the commission meetings in an effective way. In selecting commissioners, important considerations are their technical expertise, ensuring diversity of people and viewpoints, and the connections that commissioners have with the intended policy audience. Financial and human resources need to be secured, typically from universities, foundations, and development agencies. It is important to set a clear end date, so that the commission's work program, the timing of its meetings and its interim deadlines can be established. In-person meetings are usually a more effective mechanism than conference calls for gaining commissioners' inputs, surfacing important debates, and 'reality testing' the commission's key findings and messages. To have policy impact, the commission report should ideally say something new and unexpected and should have simple messages. Generating new empirical data and including forward-looking recommendations can also help galvanize policy action. Finally, the lifespan of a commission can be extended if it lays the foundation for a research agenda that is then taken up after the commission report is published.

BackgroundHospital-acquired pressure injuries (HAPIs) are publicly reported in the USA and used to adjust Medicare payment to acute inpatient facilities. Current methods used to identify HAPIs in administrative claims rely on hospital-reported present-on-admission (POA) data instead of prior patient health information.ObjectiveTo study the reliability of claims data for HAPIs and pressure injury (PI) stage by evaluating diagnostic coding agreement across interfacility transfers.MethodsUsing the 2012 100% Medicare Provider and Analysis Review file, we identified all fee-for-service acute inpatient discharge records with a PI diagnosis among Medicare patients 65 years and older. We then identified additional facility claims (eg, acute inpatient, long-stay inpatient or skilled nursing facility) belonging to the same patient who had either (1) admission within 1day of hospital discharge or (2) discharge within 1day of hospital admission. Multivariable logistic regression and stratified kappa statistics were used to measure coding agreement between transferring and receiving facilities in the presence or absence of a PI diagnosis at the time of patient transfer and PI stage category (early vs advanced).ResultsIn our comparison of claims data between transferring and receiving facilities, we observed poor agreement in the presence or absence of a PI diagnosis at the time of transfer (36.3%, kappa=0.03) and poor agreement in PI stage category (74.3%, kappa=0.17). Among transfers with a POA PI reported by the receiving hospital, only 34.0% had a PI documented at the prior transferring facility.ConclusionsThe observed discordance in PI documentation and staging between transferring and receiving facilities may indicate inaccuracy of HAPI identification in claims data. Future research should evaluate the accuracy of hospital-reported POA data and its impact on PI quality measurement.

BACKGROUND:The High-Level Commission on Health Employment and Economic Growth released its report to the United Nations Secretary-General in September 2016. It makes important recommendations that are based on estimates of over 40 million new health sector jobs by 2030 in mostly high- and middle-income countries and a needs-based shortage of 18 million, mostly in low- and middle-income countries. This paper shows how these key findings were developed, the global policy dilemmas they raise, and relevant policy solutions. METHODS:Regression analysis is used to produce estimates of health worker need, demand, and supply. Projections of health worker need, demand, and supply in 2030 are made under the assumption that historical trends continue into the future. RESULTS:To deliver essential health services required for the universal health coverage target of the Sustainable Development Goal 3, there will be a need for almost 45 million health workers in 2013 which is projected to reach almost 53 million in 2030 (across 165 countries). This results in a needs-based shortage of almost 17 million in 2013. The demand-based results suggest a projected demand of 80 million health workers by 2030. CONCLUSIONS:Demand-based analysis shows that high- and middle-income countries will have the economic capacity to employ tens of millions additional health workers, but they could face shortages due to supply not keeping up with demand. By contrast, low-income countries will face both low demand for and supply of health workers. This means that even if countries are able to produce additional workers to meet the need threshold, they may not be able to employ and retain these workers without considerably higher economic growth, especially in the health sector.

We use data from the 2011-2016 National Health Interview Survey to examine how the Patient Protection and Affordable Care Act (ACA) has influenced disparities in health care-related financial strain, access to care, and utilization of services by categories of the Federal Poverty Level (FPL). We use multivariable regression analyses to determine the ACA's effects on these outcome measures, as well as to determine how changes in these measures varied across different FPL levels. We find that the national implementation of the ACA's insurance expansion provisions in 2014 was associated with improvements in health care-related financial strain, access, and utilization. Relative to adults earning more than 400% of the FPL, the largest effects were observed among those earning between 0% to 124% and 125% to 199% of the FPL after the implementation of the ACA. Both groups experienced reductions in disparities in financial strain and uninsurance relative to the highest FPL group. Overall, the ACA has attenuated health care-related financial strain and improved access to and the utilization of health services for low- and middle-income adults who have traditionally not met income eligibility requirements for public insurance programs. Policy changes that would replace the ACA with less generous age-based tax subsidies and reductions in Medicaid funding could reverse these gains.

Growing evidence from a number of countries in Asia and Africa documents a large shift towards facility deliveries in the past decade. These increases have not led to the improvements in health outcomes that were predicted by health policy researchers in the past. In light of this unexpected evidence, we have assessed data from multiple sources, including nationally representative data from 43 countries in Asia and Africa, to understand the size and range of changing delivery location in Asia and Africa. We have reviewed the policies, programs and financing experiences in multiple countries to understand the drivers of changing practices, and the consequences for maternal and neonatal health and the health systems serving women and newborns. And finally, we have considered what implications changes in delivery location will have for maternal and neonatal care strategies as we move forward into the next stage of global action. As a result of our analysis we make four major policy recommendations. (1) An expansion of investment in mid-level facilities for delivery services and a shift away from low-volume rural delivery facilities. (2) Assured access for rural women through funding for transport infrastructure, travel vouchers, targeted subsidies for services and residence support before and after delivery. (3) Increased specialization of maternity facilities and dedicated maternity wards within larger institutions. And (4) a renewed focus on quality improvements at all levels of delivery facilities, in both private and public settings.

BackgroundPreterm birth (PTB) is the leading cause of death in children under age five. Healthcare policy and other decision-making relevant to PTB may rely on obsolete, incomplete or inapplicable research evidence, leading to worsened outcomes. Appropriate knowledge transfer and exchange (KTE) strategies are an important component of efforts to reduce the global PTB burden. We sought to develop a 'landscape' analysis of KTE strategies currently used in PTB and related contexts, and to make recommendations for optimising programmatic implementation and for future research.MethodsIn the University of California, San Francisco's Preterm Birth Initiative, we convened a multidisciplinary working group and examined KTE frameworks. After selecting a widely-used, adaptable, theoretically-strong framework we reviewed the literature to identify evidence-based KTE strategies. We analysed KTE approaches focusing on key PTB stakeholders (individuals, families and communities, healthcare providers and policymakers). Guided by the framework, we articulated KTE approaches that would likely improve PTB outcomes. We further applied the KTE framework in developing recommendations.ResultsWe selected the Linking Research to Action framework. Searches identified 19 systematic reviews, including two 'reviews of reviews'. Twelve reviews provided evidence for KTE strategies in the context of maternal, neonatal and child health, though not PTB specifically; seven reviews provided 'cross-cutting' evidence that could likely be generalised to PTB contexts. For individuals, families and communities, potentially effective KTE strategies include community-based approaches, 'decision aids', regular discussions with providers and other strategies. For providers, KTE outcomes may be improved through local opinion leaders, electronic reminders, multifaceted strategies and other approaches. Policy decisions relevant to PTB may best be informed through the use of evidence briefs, deliberative dialogues, the SUPPORT tools for evidence-informed policymaking and other strategies. Our recommendations for research addressed knowledge gaps in regard to partner engagement, applicability and context, implementation strategy research, monitoring and evaluation, and infrastructure for sustainable KTE efforts.ConclusionsEvidence-based KTE, using strategies appropriate to each stakeholder group, is essential to any effort to improve health at the population level. PTB stakeholders should be fully engaged in KTE and programme planning from its earliest stages, and ideally before planning begins.

To better understand the impact of national and global efforts to contain the Ebola virus disease epidemic of 2014–15 in Liberia, we provide a detailed timeline of the major interventions and relate them to the epidemic curve. In addition to personal experience in the response, we systematically reviewed situation reports from the Liberian government, UN, CDC, WHO, UNICEF, IFRC, USAID, and local and international news reports to create the timeline. We extracted data on the timing and nature of activities and compared them to the timeline of the epidemic curve using the reproduction number—the estimate of the average number of new cases caused by a single case. Interventions were organized around five major strategies, with the majority of resources directed to the creation of treatment beds. We conclude that no single intervention stopped the epidemic; rather, the interventions likely had reinforcing effects, and some were less likely than others to have made a major impact. We find that the epidemic’s turning coincided with a reorganization of the response in August–September 2014, the emergence of community leadership in control efforts, and changing beliefs and practices in the population. Ebola Treatment Units were important for Ebola treatment, but the vast majority of these treatment centre beds became available after the epidemic curve began declining. Similarly, the United Nations Mission for Ebola Emergency Response was launched after the epidemic curve had already turned. These findings have significant policy implications for future epidemics and suggest that much of the decline in the epidemic curve was driven by critical behaviour changes within local communities, rather than by international efforts that came after the epidemic had turned. Future global interventions in epidemic response should focus on building community capabilities, strengthening local ownership, and dramatically reducing delays in the response.

The underrepresentation of Blacks, Hispanics or Latinos, and American Indians or Alaska Natives among dentists raises concerns about the diversity of the dental workforce, disparities in access to dental care and in oral health status, and social justice. We quantified the shortage of underrepresented minority dentists and examined these dentists' practice patterns in relation to the characteristics of the communities they serve. The underrepresented minority dentist workforce is disproportionately smaller than, and unevenly distributed in relation to, minority populations in the United States. Members of minority groups represent larger shares of these dentists' patient panels than of the populations in the communities where the dentists are located. Compared to counties with no underrepresented minority dentists, counties with one or more such dentists are more racially diverse and affluent but also have greater economic and social inequality. Current policy approaches to improve the diversity of the dental workforce are a critical first step, but more must be done to improve equity in dental health.

ObjectiveTo compare early and later adopters of the accountable care organization (ACO) model, using the taxonomy of larger, integrated system; smaller, physician-led; and hybrid ACOs.Data sourcesThe National Survey of ACOs, Waves 1 and 2.Study designCluster analysis using the two-step clustering approach, validated using discriminant analysis. Wave 2 data analyzed separately to assess differences from Wave 1 and then data pooled across waves.FindingsCompared to early ACOs, later adopter ACOs included a greater breadth of provider group types and a greater proportion self-reported as integrated delivery systems. When data from the two time periods were combined, a three-cluster solution similar to the original cluster solution emerged. Of the 251 ACOs, 31.1 percent were larger, integrated system ACOs; 45.0 percent were smaller physician-led ACOs; and 23.9 percent were hybrid ACOs-compared to 40.1 percent, 34.0 percent, and 25.9 percent from Wave 1 clusters, respectively.ConclusionsWhile there are some differences between ACOs formed prior to August 2012 and those formed in the following year, the three-cluster taxonomy appears to best describe the types of ACOs in existence as of July 2013. The updated taxonomy can be used by researchers, policy makers, and health care organizations to support evaluation and continued development of ACOs.

Purpose Using the example of community access programs (CAPs), the purpose of this paper is to describe resource allocation and policy decisions related to providing health services for the uninsured in the USA and the organizational values affecting these decisions. Design/methodology/approach The study used comparative case study methodology at two geographically diverse sites. Researchers collected data from program documents, meeting observations, and interviews with program stakeholders. Findings Five resource allocation or policy decisions relevant to providing healthcare services were described at each site across three categories: designing the health plan, reacting to funding changes, and revising policies. Organizational values of access to care and stewardship most frequently affected resource allocation and policy decisions, while economic and political pressures affect the relative prioritization of values. Research limitations/implications Small sample size, the potential for social desirability or recall bias, and the exclusion of provider, member or community perspectives beyond those represented among participating board members. Practical implications Program directors or researchers can use this study to assess the extent to which resource allocation and policy decisions align with organizational values and mission statements. Social implications The description of how healthcare decisions are actually made can be matched with literature that describes how healthcare resource decisions ought to be made, in order to provide a normative grounding for future decisions. Originality/value This study addresses a gap in literature regarding how CAPs actually make resource allocation decisions that affect access to healthcare services.

Rich democracies exhibit vast cross-national and historical variation in the socialization of health care. Yet, cross-national analyses remain relatively rare in the health policy literature, and health care remains relatively neglected in the welfare state literature. We analyze pooled time series models of the public share of total health spending for eighteen rich democracies from 1960 to 2010. Building on path dependency theory, we present a strategy for modeling the relationship between the initial 1960 public share and the current public share. We also examine two contrasting accounts for how the 1960 public share interacts with conventional welfare state predictors: the self-reinforcing hypothesis expecting positive feedbacks and the counteracting hypothesis expecting negative feedbacks. We demonstrate that most of the variation from 1960 to 2010 in the public share can be explained by a country's initial value in 1960. This 1960 value has a large significant effect in models of 1961-2010, and including the 1960 value alters the coefficients of conventional welfare state predictors. To investigate the mechanism whereby prior social policy influences public opinion about current social policy, we use the 2006 International Social Survey Programme (ISSP). This analysis confirms that the 1960 values predict individual preferences for government spending on health. Returning to the pooled time series, we demonstrate that the 1960 values interact significantly with several conventional welfare state predictors. Some interactions support the self-reinforcing hypothesis, while others support the counteracting hypothesis. Ultimately, this study illustrates how historical legacies of social policy exert substantial influence on the subsequent politics of social policy.

BackgroundPharmaceutical marketing is undergoing a major shift in the United States, in part due to new transparency regulations under the healthcare reform act. Changes in pharmaceutical marketing practices include a possible shift from more traditional forms of direct-to-consumer advertising towards emerging use of Internet-based DTCA ("eDTCA") given the growing importance of digital health or "eHealth." Though legally allowed only in the U.S. and New Zealand, eDTCA poses novel regulatory challenges, as it can cross geopolitical boundaries and impact health systems and populations outside of these countries.MethodsWe wished to assess whether changes in DTCA and eDTCA expenditure trends was occurring using publicly available pharmaceutical marketing data. DTCA data was analyzed to compare trends in aggregate marketing expenditures and to assess if there were statistically significant differences in trends and magnitudes for data sources and DTCA sub-categories (including eDTCA). This was accomplished using regression lines of DTCA trend data and conducting pairwise comparisons of regression coefficients using t-tests. Means testing was utilized for comparing magnitude of DTCA expenditure.ResultsData from multiple data sources indicate that aggregate DTCA expenditures have slightly declined during the period from 2005-2009 and are consistent with results from other studies. For DTCA sub-categories, television remained the most utilized form of DTCA, though experienced trends of declining expenditures (-13.2 %) similar to other traditional media platforms such as radio (-30.7 %) and outdoor ads (-12.1 %). The only DTCA sub-category that experienced substantial increased expenditures was eDTCA (+109.0 %) and it was the only medium that had statistically significant differences in its marketing expenditure trends compared to other DTCA sub-categories.ConclusionsOur study indicates that traditional DTCA marketing may be on the decline. Conversely, the only DTCA sub-category that experienced significant increases was eDTCA. However, to fully understand this possible shift to "digital" DTCA, improvements in publicly available DTCA data sources are necessary to confirm changing trends and validate existing data. Hence, utilizing the newly implemented U.S. physician-payment expenditure transparency requirements, we advocate for the mandatory disclosure of DTCA/eDTCA in order to inform future domestic and international health policy efforts regarding appropriate regulation of pharmaceutical promotion.

BackgroundPrevious studies examining sex-based disparities in emergency department (ED) pain care have been limited to a single pain condition, a single study site, and lack rigorous control for confounders.ObjectiveA multicenter evaluation of the effect of sex on abdominal pain (AP) and fracture pain (FP) care outcomes.Research designA retrospective cohort review of ED visits at 5 US hospitals in January, April, July, and October 2009.SubjectsA total of 6931 patients with a final ED diagnosis of FP (n=1682) or AP (n=5249) were included.MeasuresThe primary predictor was sex. The primary outcome was time to analgesic administration. Secondary outcomes included time to medication order, and the likelihood of receiving an analgesic and change in pain scores 360 minutes after triage: Multivariable models, clustered by study site, were conducted to adjust for race, age, comorbidities, initial pain score, ED crowding, and triage acuity.ResultsOn adjusted analyses, compared with men, women with AP waited longer for analgesic administration [AP women: 112 (65-187) minutes, men: 96 (52-167) minutes, P

Our aim was to systematically identify and compare how generic medications, as defined by the US Food and Drug Administration (FDA), World Health Organization (WHO), and European Medicines Agency (EMA), are classified and defined by regulatory agencies around the world. We focused on emerging markets and selected the most populated countries in each of the WHO regions: Africa, the Americas, Eastern Mediterranean, Europe, Southeast Asia, and Western Pacific. A structured review of published literature was performed through December 2013. Direct information from regulatory agencies and Ministries of Health for each country was extracted. Additionally, key informant interviews were performed for validation. Of the 21 countries selected, approximately half provided an official country-level definition for generic pharmaceuticals. The others did not have any definition or referred to the WHO. Only two-thirds of the countries had specific requirements for generic pharmaceuticals, often associated with clinical interchangeability. Most countries with requirements mention bioequivalence, but few required bioavailability studies explicitly. Over 30% of the countries had other terms associated with generics in their definitions and processes. In countries with generic drug policies, there is reference to patent and/or data protection during the drug registration process. Several countries do not mention good manufacturing practices as part of the evaluation process. Countries in Africa and Eastern Mediterranean regions appear to have a less developed regulatory framework. In summary, there is significant variability in the definition and classification of generic drugs in emerging markets. Standardization of the definitions is necessary to make international comparisons viable.

With the expansion of coverage as a result of federal health care reform, safety net providers are confronting a challenge to care for the underserved while also competing as a provider of choice for the newly insured. Safety net institutions may be able to achieve these goals by pursuing greater delivery system integration. We interviewed safety net hospital and community health center (CHCs) leaders in five US cities to determine what strategies these organizations are employing to promote care integration in the safety net. Although there is some experimentation with payment reform and health information exchange, safety net providers identify significant policy and structural barriers to integrating service delivery. The enhanced Medicaid payments for CHCs and the federal requirement that CHCs retain independent boards discourage these organizations from integrating with other safety net providers. Current policies are not mobilizing safety net providers to pursue integration as a way to deliver more efficient and effective care. Medicaid and other policies at the federal and state level could be revised to overcome known fragmentation in the health care safety net. This includes addressing the conflicts in financing and governance arrangements that are encouraging providers to resist integration to preserve their independence.

The Affordable Care Act (ACA) included financial and regulatory incentives and goals for states to bolster their health insurance rate review programs, increase their anticipated loss ratio requirements, expand Medicaid, and establish state-based exchanges. We grouped states by political party control and compared their reactions across these policy goals. To identify changes in states' rate review programs and anticipated loss ratio requirements in the individual and small group markets since the ACA's enactment, we conducted legal research and contacted each state's insurance regulator. We linked rate review program changes to the Centers for Medicare and Medicaid Services' (CMS) criteria for an effective rate review program. We found, of states that did not meet CMS's criteria when the ACA was enacted, most made changes to meet those criteria, including Republican-controlled states, which generally oppose the ACA. This finding is likely the result of the relatively low administrative burden associated with reviewing health insurance rates and the fact that doing so prevents federal intervention in rate review. However, Republican-controlled states were less likely than non-Republican-controlled states to increase their anticipated loss ratio requirements to align with the federal retrospective medical loss ratio requirement, expand Medicaid, and establish state-based exchanges, because of their general opposition to the ACA. We conclude that federal incentives for states to strengthen their health insurance rate review programs were more effective than the incentives for states to adopt other insurance-related policy goals of the ACA.

BackgroundThis study examines sustainment of an EBI implemented in 11 United States service systems across two states, and delivered in 87 counties. The aims are to 1) determine the impact of state and county policies and contracting on EBI provision and sustainment; 2) investigate the role of public, private, and academic relationships and collaboration in long-term EBI sustainment; 3) assess organizational and provider factors that affect EBI reach/penetration, fidelity, and organizational sustainment climate; and 4) integrate findings through a collaborative process involving the investigative team, consultants, and system and community-based organization (CBO) stakeholders in order to further develop and refine a conceptual model of sustainment to guide future research and provide a resource for service systems to prepare for sustainment as the ultimate goal of the implementation process.MethodsA mixed-method prospective and retrospective design will be used. Semi-structured individual and group interviews will be used to collect information regarding influences on EBI sustainment including policies, attitudes, and practices; organizational factors and external policies affecting model implementation; involvement of or collaboration with other stakeholders; and outer- and inner-contextual supports that facilitate ongoing EBI sustainment. Document review (e.g., legislation, executive orders, regulations, monitoring data, annual reports, agendas and meeting minutes) will be used to examine the roles of state, county, and local policies in EBI sustainment. Quantitative measures will be collected via administrative data and web surveys to assess EBI reach/penetration, staff turnover, EBI model fidelity, organizational culture and climate, work attitudes, implementation leadership, sustainment climate, attitudes toward EBIs, program sustainment, and level of institutionalization. Hierarchical linear modeling will be used for quantitative analyses. Qualitative analyses will be tailored to each of the qualitative methods (e.g., document review, interviews). Qualitative and quantitative approaches will be integrated through an inclusive process that values stakeholder perspectives.DiscussionThe study of sustainment is critical to capitalizing on and benefiting from the time and fiscal investments in EBI implementation. Sustainment is also critical to realizing broad public health impact of EBI implementation. The present study takes a comprehensive mixed-method approach to understanding sustainment and refining a conceptual model of sustainment.

The epidemiology and social context of American childhood are rapidly changing. Adverse social, economic, and child-rearing conditions are loading children down with preventable illness, physical and behavioral disability, and dysfunction. This new epidemiology of childhood is swamping the capacity of the nation's health care system, schools, juvenile justice facilities, and child protective services to respond to the needs of those they serve. This low-performing system not only jeopardizes the health of children, it also jeopardizes the health of the adults they will become. In this article we review the science of life-course health development, a new field that provides a powerful explanatory framework for understanding how poor health and social adversity during childhood can affect lifelong health. We then present five ambitious policy recommendations to integrate educational, health, social, and economic initiatives designed to enhance health. Our bold but pragmatic goal is that by 2025, US children will have the highest levels of health among industrialized nations, instead of where US children currently rank-among the worst.

BackgroundScreening for colorectal cancer (CRC) is suboptimal, particularly for vulnerable populations. Effective intervention programs are needed to increase screening rates. We used a discrete choice experiment (DCE) to learn about how vulnerable individuals in North Carolina value different aspects of CRC screening programs.MethodsWe enrolled English-speaking adults ages 50-75 at average risk of CRC from rural North Carolina communities with low rates of CRC screening, targeting those with public or no insurance and low incomes. Participants received basic information about CRC screening and potential program features, then completed a 16 task DCE and survey questions that examined preferences for four attributes of screening programs: testing options available; travel time required; money paid for screening or rewards for completing screening; and the portion of the cost of follow-up care paid out of pocket. We used Hierarchical Bayesian methods to calculate individual-level utilities for the 4 attributes' levels and individual-level attribute importance scores. For each individual, the attribute with the highest importance score was considered the most important attribute. Individual utilities were then aggregated to produce mean utilities for each attribute. We also compared DCE-based results with those from direct questions in a post-DCE survey.ResultsWe enrolled 150 adults. Mean age was 57.8 (range 50-74); 55% were women; 76% White and 19% African-American; 87% annual household income under $30,000; and 51% were uninsured. Individuals preferred shorter travel; rewards or small copayments compared with large copayments; programs that included stool testing as an option; and greater coverage of follow-up costs. Follow-up cost coverage was most frequently found to be the most important attribute from the DCE (47%); followed by test reward/copayment (33%). From the survey, proportion of follow-up costs paid was most frequently cited as most important (42% of participants), followed by testing options (32%). There was moderate agreement (45%) in attribute importance between the DCE and the single question in the post-DCE survey.ConclusionsScreening test copayments and follow-up care coverage costs are important program characteristics in this vulnerable, rural population.

BackgroundThere is an increasing push for 'evidence-based' decision making in global health policy circles. However, at present there are no agreed upon standards or guidelines for how to evaluate evidence in global health. Recent evaluations of existing evidence frameworks that could serve such a purpose have identified details of program context and project implementation as missing components needed to inform policy. We performed a pilot study to assess the current state of reporting of context and implementation in studies of global health interventions.MethodsWe identified three existing criteria sets for implementation reporting and selected from them 10 criteria potentially relevant to the needs of policy makers in global health contexts. We applied these 10 criteria to 15 articles included in the evidence base for three global health interventions chosen to represent a diverse set of advocated global health programs or interventions: household water chlorination, prevention of mother-to-child transmission of HIV, and lay community health workers to reduce child mortality. We used a good-fair-poor/none scale for the ratings.ResultsThe proportion of criteria for which reporting was poor/none ranged from 11% to 54% with an average of 30%. Eight articles had 'good' or 'fair' documentation for greater than 75% of criteria, while five articles had 'poor or none' documentation for 50% of criteria or more. Examples of good reporting were identified.ConclusionsReporting of context and implementation information in studies of global health interventions is mostly fair or poor, and highly variable. The idiosyncratic variability in reporting indicates that global health investigators need more guidance about what aspects of context and implementation to measure and how to report them. This lack of context and implementation information is a major gap in the evidence needed by global health policy makers to reach decisions.

ObjectiveTo develop an exploratory taxonomy of Accountable Care Organizations (ACOs) to describe and understand early ACO development and to provide a basis for technical assistance and future evaluation of performance.Data sources/study settingData from the National Survey of Accountable Care Organizations, fielded between October 2012 and May 2013, of 173 Medicare, Medicaid, and commercial payer ACOs.Study designDrawing on resource dependence and institutional theory, we develop measures of eight attributes of ACOs such as size, scope of services offered, and the use of performance accountability mechanisms. Data are analyzed using a two-step cluster analysis approach that accounts for both continuous and categorical data.Principal findingsWe identified a reliable and internally valid three-cluster solution: larger, integrated systems that offer a broad scope of services and frequently include one or more postacute facilities; smaller, physician-led practices, centered in primary care, and that possess a relatively high degree of physician performance management; and moderately sized, joint hospital-physician and coalition-led groups that offer a moderately broad scope of services with some involvement of postacute facilities.ConclusionsACOs can be characterized into three distinct clusters. The taxonomy provides a framework for assessing performance, for targeting technical assistance, and for diagnosing potential antitrust violations.

Improving clinical performance using measurement and payment incentives, including pay for performance (or P4P), has, so far, shown modest to no benefit on patient outcomes. Our objective was to assess the impact of a P4P programme on paediatric health outcomes in the Philippines. We used data from the Quality Improvement Demonstration Study. In this study, the P4P intervention, introduced in 2004, was randomly assigned to 10 community district hospitals, which were matched to 10 control sites. At all sites, physician quality was measured using Clinical Performance Vignettes (CPVs) among randomly selected physicians every 6 months over a 36-month period. In the hospitals randomized to the P4P intervention, physicians received bonus payments if they met qualifying scores on the CPV. We measured health outcomes 4-10 weeks after hospital discharge among children 5 years of age and under who had been hospitalized for diarrhoea and pneumonia (the two most common illnesses affecting this age cohort) and had been under the care of physicians participating in the study. Health outcomes data collection was done at baseline/pre-intervention and 2 years post-intervention on the following post-discharge outcomes: (1) age-adjusted wasting, (2) C-reactive protein in blood, (3) haemoglobin level and (4) parental assessment of child's health using general self-reported health (GSRH) measure. To evaluate changes in health outcomes in the control vs intervention sites over time (baseline vs post-intervention), we used a difference-in-difference logistic regression analysis, controlling for potential confounders. We found an improvement of 7 and 9 percentage points in GSRH and wasting over time (post-intervention vs baseline) in the intervention sites relative to the control sites (P ≤ 0.001). The results from this randomized social experiment indicate that the introduction of a performance-based incentive programme, which included measurement and feedback, led to improvements in two important child health outcomes.

New genomic sequencing technologies enable the high-speed analysis of multiple genes simultaneously, including all of those in a person's genome. Sequencing is a prominent example of a "big data" technology because of the massive amount of information it produces and its complexity, diversity, and timeliness. Our objective in this article is to provide a policy primer on sequencing and illustrate how it can affect health care system and policy issues. Toward this end, we developed an easily applied classification of sequencing based on inputs, methods, and outputs. We used it to examine the implications of sequencing for three health care system and policy issues: making care more patient-centered, developing coverage and reimbursement policies, and assessing economic value. We conclude that sequencing has great promise but that policy challenges include how to optimize patient engagement as well as privacy, develop coverage policies that distinguish research from clinical uses and account for bioinformatics costs, and determine the economic value of sequencing through complex economic models that take into account multiple findings and downstream costs.

State Medicaid programs and other state health agencies need to monitor and evaluate changes in health insurance coverage, access to care, financing, and the quality of health care delivery. The availability of new financial resources through the Patient Protection and Affordable Care Act is accompanied by raised expectations for such accountability. While state agencies often contract with universities on an ad hoc basis for specific policy projects, fourteen states have established formal state-university partnerships so that their analytic and technical needs can be addressed more readily. After a brief overview of these partnerships, this article provides examples of their projects, which most often affect Medicaid policy, including work on program eligibility, provider payments, and optional benefits. State-university partnerships are working on policy-relevant projects that influence decision making. Like the variation in Medicaid programs across the country, no two partnerships are alike. They thrive in a mix of structures, using different means of contracting, and with varied degrees of data access. All partnerships are interested in building a national network to share innovative practices and projects, spawn comparative policy studies across states, and support the development of new state-university partnerships.

ObjectiveTo describe hospitals' organizational arrangements relevant to the abstraction of administrative data, to report on the completeness of administrative data collected and to assess associations between organizational arrangements and completeness of data submission.DesignA cross-sectionalStudy designutilizing administrative data.Setting and participantsRandomly selected hospitals from seven European countries (The Czech Republic, France, Germany, Poland, Portugal, Spain, and Turkey).Main outcome measuresCompleteness of data submission for four quality indicators: mortality after acute myocardial infarction, stroke and hip fractures and complications after normal delivery.ResultsIn general, hospitals were able to produce data on the four indicators required for this research study. A substantial proportion had missing data on one or more data items. The proportion of hospitals that was able to produce more detailed indicators of relevance for quality monitoring and improvement was low and ranged from 40.1% for thrombolysis performed on patients with acute ischemic stroke to 63.8% for hip-fracture operations performed within 48 h after admission for patients aged 65 or older. National factors were strong predictors of data completeness on the studied indicators.ConclusionsAt present, hospital administrative databases do not seem to be an appropriate source of information for comparison of hospital performance across the countries of the EU. However, given that this is a dynamic field, changes to administrative databases may make this possible in the near future. Such changes could be accelerated by an in-depth comparative analysis of the issues of using administrative data for comparisons of hospital performances in EU countries.