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BACKGROUND:In the new era of value-based payment models and pay for performance, hospitals are in search of the silver bullet strategy or bundle of strategies capable of improving their performance on quality measures. OBJECTIVES:To determine whether there is an association between adoption of hospital-based care coordination strategies and Centers for Medicare and Medicaid Services overall hospital quality (star) ratings and readmission rates. RESEARCH DESIGN:We used survey data from the American Hospital Association (AHA) and categorized respondents by the number of care coordination strategies that they reported having widely implemented. We used multiple logistic regression models to examine the association between the number of strategies and hospital overall rating performance and disease-specific 30-day excess readmission ratios, while controlling for hospital and county characteristics and state-fixed effects. SUBJECTS:A total of 710 general acute care noncritical access hospitals that received star ratings and responded to the 2015 AHA Care Systems and Payment Survey. MEASURES:Centers for Medicare and Medicaid Services overall hospital ratings, 30-day excess readmission ratios. RESULTS:As compared with hospitals with 0-2 strategies, hospitals with 3 to 4 strategies (P=0.007), 5-7 strategies (P=0.002), or 8-12 strategies (P=0.002) had approximately 2.5× the odds of receiving a top rating (4 or 5 stars). Care coordination strategies were positively associated with lower 30-day readmission ratios for patients with chronic medical conditions, but not for surgical patients. Medication reconciliation, visit summaries, outreach after discharge, discharge care plans, and disease management programs were each individually associated with top ratings. CONCLUSIONS:Care coordination strategies are associated with high overall hospital ratings.

This study examined the changes in sleep duration (total sleep time, night‐time sleep and daytime naps) after retirement transitions in China using a panel dataset of the China Health and Retirement Longitudinal Study in 2011, 2013 and 2015 with a total of 48,458 respondents. Linear regression analysis with generalized estimating equations was employed to examine the changes in sleep duration after transitions between different types of employment status. After controlling for the confounders, the results showed that the retired population and the population working in agricultural sectors slept 8.02 ( p  < .01) and 5.19 ( p  < .01) minutes longer than the population working in non‐agricultural sectors, respectively. Employment transition also had significant effects on sleep duration. Transition from non‐agricultural sectors to retirement increased total sleep time by 13.58 ( p  < .01) minutes and also raised the probability of daytime naps by 18% (OR = 1.18,  p  < .01). Transition from agricultural employment to retirement did not significantly affect the total sleep time, but significantly increased the probability of daytime naps (OR = 1.12,  p  = .02). Reentering the non‐agricultural sectors for the retirees did not significantly affect night‐time sleep, but decreased the probability of daytime naps (OR = 0.73,  p  < .01) and daytime nap duration (by 5.26 min,  p  = .01). In conclusion, people in China increased their sleep duration after transitions to retirement, but the magnitudes were much smaller than those in Western countries. Differences may be attributed to an abundant amount of Chinese people working in agricultural sectors, the high volume of retired people reentering the work force and the large proportion of people in China that had daytime naps at baseline.

Introduction Accountable care organizations have been successful in improving quality of care, but little is known about who is benefiting from accountable care organizations and through what mechanism. This study examined variation of potentially preventable hospitalizations for chronic conditions with coexisting depression in adults by hospital accountable care organization affiliation and care coordination strategies by race/ethnicity. Methods Data  files of 11 states from 2015 State Inpatient Databases were used to identify potentially preventable hospitalizations for chronic conditions with coexisting depression by race/ethnicity; the 2015 American Hospital Association's Annual Survey was used to identify hospital accountable care organization affiliation; and American Hospital Association's Survey of Care Systems and Payment (collected from January to August 2016) was used to identify hospital Accountable care organizations affiliation and hospital-based care coordination strategies, such as telephonic outreach, and chronic care management. In 2019, multiple logistic regressions was used to test the probability of potentially preventable hospitalization by accountable care organization affiliation and race/ethnicity. The test was repeated on a subsample analysis of accountable care organization–affiliated hospitals by care coordination strategy. Results Preventable hospitalizations were significantly lower among accountable care organization–affiliated hospitals than accountable care organization–unaffiliated hospitals. Lower preventable hospitalization rates were observed among white, African American, Native American, and Hispanic patients. Effective care coordination strategies varied by patients’ race. Results also showed variation of the adoption of specific care coordination strategies among accountable care organization–affiliated hospitals. Analysis further indicated effective care coordination strategies varied by patients’ race. Conclusions Accountable care organizations and specifically designed care coordination strategies can potentially improve preventable hospitalization rates and racial disparities among patients with depression. Findings support the integration of mental and physical health services and provide insights for Centers for Medicare and Medicaid Services risk adjustment efforts across race/ethnicity and socioeconomic status.

India’s cities face key challenges to improving public health outcomes. First, unequally distributed public resources create insanitary conditions, especially in slums – threatening everyone’s health, as suggested by poor child growth even amongst the wealthiest. Second, devolving services to elected bodies works poorly for highly technical services like public health. Third, services are highly fragmented. This paper examines the differences in the organisation and management of municipal services in Chennai and Delhi, two cities with sharply contrasting health indicators. Chennai mitigates these challenges by retaining professional management of service delivery and actively serving vulnerable populations − while services in Delhi are quite constrained. Management and institutional issues have received inadequate attention in the public health literature on developing countries, and the policy lessons from Chennai have wide relevance.

Public expenditures on non-contributory pensions are equivalent to at least 1 percent of GDP in several countries in Latin America and is expected to increase. We explore the effect of noncontributory pensions on the well-being of the beneficiary population by studying the Pension 65 program in Peru, which uses a poverty eligibility threshold. We find that the program reduced the average score of beneficiaries on the Geriatric Depression Scale by nine percent and reduced the proportion of older adults doing paid work by four percentage points. Moreover, households with a beneficiary increased their level of consumption by 40 percent. All these effects are consistent with the findings of Galiani, Gertler and Bando (2016) in their study on a non-contributory pension scheme in Mexico. Thus, we conclude that the effects of non-contributory pensions on well-being in rural Mexico can be largely generalized to Peru

An aspect of citation behavior, which has received longstanding attention in research, is how articles’ received citations evolve as time passes since their publication (i.e., citation ageing). Citation ageing has been studied mainly by the formulation and fit of mathematical models of diverse complexity. Commonly, these models restrict the shape of citation ageing functions and explicitly take into account factors known to influence citation ageing. An alternative—and less studied—approach is to estimate citation ageing functions using data-driven strategies. However, research following the latter approach has not been consistent in taking into account those factors known to influence citation ageing. In this article, we propose a model-free approach for estimating citation ageing functions which combines quantile regression with a non-parametric specification able to capture citation inflation. The proposed strategy allows taking into account field of research effects, impact level effects, citation inflation effects and skewness in the distribution of cites effects. To test our methodology, we collected a large dataset consisting of more than five million citations to 59,707 research articles spanning 12 dissimilar fields of research and, with this data in hand, tested the proposed strategy.

Background:  The  HIV  epidemic continues to grow among  MSM  in countries across sub-Saharan Africa including  Nigeria . To inform prevention efforts, we used a  phylogenetic cluster  method to characterize  HIV  genetic clusters and factors associated with cluster formation among  MSM  living with  HIV  in  Nigeria . Methods:  We analyzed  HIV -1 pol sequences from 417  MSM  living with  HIV  enrolled in the TRUST/RV368 cohort between 2013 and 2017 in Abuja and Lagos,  Nigeria . A genetically linked cluster was defined among participants whose sequences had pairwise genetic distance of 1.5% or less. Binary and multinomial logistic regressions were used to estimate adjusted odds ratios (AORs) and 95% confidence intervals (CIs) for factors associated with  HIV  genetic cluster membership and size. Results:  Among 417  MSM  living with  HIV , 153 (36.7%) were genetically linked. Participants with higher viral load (AOR = 1.72 95% CI: 1.04–2.86), no female partners (AOR = 3.66; 95% CI: 1.97–6.08), and self-identified as male sex (compared with self-identified as bigender) (AOR = 3.42; 95% CI: 1.08–10.78) had higher odds of being in a genetic cluster. Compared with unlinked participants,  MSM  who had high school education (AOR = 23.84; 95% CI: 2.66–213.49), were employed (AOR = 3.41; 95% CI: 1.89–10.70), had bacterial sexually transmitted infections (AOR = 3.98; 95% CI: 0.89–17.22) and were not taking antiretroviral therapy (AOR = 6.61; 95% CI: 2.25–19.37) had higher odds of being in a large cluster (size > 4). Conclusion:  Comprehensive  HIV  prevention packages should include behavioral and biological components, including early diagnosis and treatment of both  HIV  and bacterial sexually transmitted infections to optimally reduce the risk of  HIV  transmission and acquisition.

Background Knowledge of HIV risk factors and reduction strategies is essential for prevention in key populations such as men who have sex with men (MSM) and transgender women (TGW). We evaluated factors associated with HIV-related knowledge among MSM and TGW and the impact of engagement in care at trusted community health centers in Nigeria. Methods The TRUST/RV368 cohort recruited MSM and TGW in Lagos and Abuja, Nigeria via respondent driven sampling. During study visits every three months, participants underwent structured interviews to collect behavioral data, received HIV education, and were provided free condoms and condom compatible lubricants. Five HIV-related knowledge questions were asked at enrollment and repeated after 9 and 15 months. The mean number of correct responses was calculated for each visit with 95% confidence intervals (CIs). Multivariable Poisson regression was used to calculate adjusted risk ratios and CIs for factors associated with answering more knowledge questions correctly. Results From March 2013 to April 2018, 2122 persons assigned male sex at birth were enrolled, including 234 TGW (11.2%). The mean number of correct responses at enrollment was 2.36 (95% CI: 2.31–2.41) and increased to 2.95 (95% CI: 2.86–3.04) and 3.06 (95% CI: 2.97–3.16) after 9 and 15 months in the study, respectively. Among 534 participants who completed all three HIV-related knowledge assessments, mean number of correct responses rose from 2.70 (95% CI: 2.60–2.80) to 3.02 (95% CI: 2.93–3.13) and then 3.06 (95% CI: 2.96–3.16). Factors associated with increased overall HIV-related knowledge included longer duration of study participation, HIV seropositivity, higher education level, and more frequent internet use. Conclusions There was suboptimal HIV-related knowledge among Nigerian MSM and TGW at that improved modestly with engagement in care. These data demonstrate unmet HIV education needs among Nigerian MSM and TGW and provide insights into modalities that could be used to address these needs.

OBJECTIVE: Research on the heterogeneity in drinking patterns of urban minorities within a socioecological framework is rare. The purpose of this study was to explore multiple, distinct patterns of drinking from adolescence to young adulthood in a sample of urban minority youth and to examine the influence of neighborhood, family, and peers on these trajectories. METHOD: Data are from a longitudinal study of 584 (56% male) primarily Black (87%) youth who were first sampled in childhood based on their residence in low-income neighborhoods in Baltimore City and followed up annually through age 26. Data were analyzed using group-based trajectory modeling and multinomial logistic regression. RESULTS: Modeling revealed six trajectories from ages 14 to 26: abstainer, experimenter, adult increasing, young adult increasing, adolescent limited, and adolescent increasing. Neighborhood disadvantage was a risk factor for drinking regardless of the timing of onset. Perceptions of availability, peer drinking, and parental approval for drinking were risk factors for underage drinking trajectories, whereas parental supervision was a significant protective factor. Positive social activities in neighborhoods was protective against increased drinking, whereas a decline in perceptions of peer drinking was associated with adolescent-limited drinking. CONCLUSIONS: Our findings uniquely highlight the importance of developing interventions involving parents for urban minority youth for whom family is particularly relevant in deterring underage drinking. Perhaps most importantly, our data suggest that interventions that support positive social activities in disadvantaged neighborhoods are protective against adolescent drinking and altering perceptions of peer drinking may reduce adolescent drinking among low-income, urban minority youth.

ABSTRACT: The Affordable Care Act (ACA) provides financial incentives to prevent substance use disorders (SUDs). Local health departments (LHDs) can receive funds to establish care teams that partner with primary care providers and health systems. This study estimates the potential effect of LHDs on emergency visits for SUDs, using linked data sets from the Healthcare Cost and Utilization Project Emergency Department (ED) sample for the State of Maryland-2012, the National Association of County and City Health Officials Profiles Survey 2013, and Area Health Resource File 2013 to estimate potential effect of LHDs' provision of SUD preventive care and SUD-related policy implementation. Local health department involvement in SUD-related policy during the past 2 years and provision of preventive care for behavioral health in the past year significantly reduced the probability of having a SUD-related ED visit by 11% and 6%, respectively, after controlling for individual characteristics (odds ratio [OR] = 0.89, p < .001; OR = 0.93, p < .001). After adjusting for the individual and contextual factors, LHD involvement in policy was still associated with 14% reduction in SUD-related ED visits (OR = 0.86, p < .001). Results offer insights on the extent to which the LHD activities can possibly affect SUD-related ED visits and provide a foundation for future work to identify effective LHD interventions.