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Importance: Process quality measure performance has improved significantly with public reporting, requiring reevaluation of process-outcome relationships and the emerging role of patient perspectives on care.Objective: To evaluate associations between heart failure patient perspectives of care and publicly reported processes and outcomes.Design: Cross-sectional study, July 2008-June 2011.Setting: US hospitals in the Press Ganey database.Participants: Heart failure inpatients.Measures: Outcomes were Hospital Compare hospital-level risk-adjusted 30-day heart failure mortality and readmissions. Predictors included Hospital Compare heart failure processes of care, a weighted process composite and Hospital Consumer Assessment of Healthcare Providers and Systems (HCAHPS) domains for heart failure. Hospital characteristics included volume of heart failure patients and race, health status and education.Results: Among 895 included hospitals, performance on process measures was high (median by hospital for composite, 95.6%); the median HCAHPS overall rating was 86.9. Median mortality was 11.3% and readmissions was 24.8%. No process measures were statistically significantly associated with lower mortality or readmissions in adjusted analyses. Higher ratings on HCAHPS patient perspectives of care were significantly correlated with lower readmissions in adjusted analyses, particularly those publicly reported domains conceptually related to readmissions. The magnitude was small (1.8 points higher on a 100-point scale between the highest and lowest quartiles of hospital readmissions).Conclusions: Publicly reported process quality measures were no longer associated with outcomes, but higher patient perspectives of care were associated with lower heart failure readmissions. These associations support continued reevaluation of these measures and increased emphasis on patient experience and outcomes, as planned for Value-Based Purchasing. [ABSTRACT FROM AUTHOR]

Objectives. We examined variations in having a usual source of care (USC) among non-Hispanic White and Asian American adults in California. Methods. Data were from the 2005 and 2009 California Health Interview Survey. Using a modified Anderson model, we used multiple logistic regression to compare odds of having a USC between non-Hispanic White (n = 38 554) and Asian American adults (n = 7566) and to examine associations with acculturation factors (English proficiency, length of residence, residence in a racially concordant neighborhood) and key enabling (employment, income, insurance) and predisposing (education) factors. Results. Race-related disparities between Asian Americans and non-Hispanic Whites in having a USC were no longer significant after accounting for acculturation factors. Limited English proficiency and short time in the United States (< 5 years) were significantly associated with not having a USC for both races. Increasing levels of education and insurance were not associated with better access among Asian Americans. Conclusions. Key differences exist in how Asian American and non- Hispanic White adults access care. Acculturation factors are key drivers of disparities and should be included in access-to-care models with Asians. Insurance and education are differentially significant for Asian Americans and non-Hispanic Whites. [ABSTRACT FROM AUTHOR]

Hoyer EH, Brotman DJ, Chan KS, Needham DM: Barriers to early mobility of hospitalized general medicine patients: survey development and results. Am J Phys Med Rehabil 201 5 ;94 :3 0 4 -3 1 2. Objective: Functional status decline commonly accompanies hospitalization making patients vulnerable to complications. Such decline can be mitigated through hospital-based early mobility programs. Success in implementing patient mobility quality improvement processes requires evaluating providers' knowledge, attitudes, and behaviors. Design: A cross-sectional, self-administered survey in two different hospital settings was completed by 1 20 nurses and physical and occupational therapists (rehabilitation therapists, 38; nurses, 82) from six general medicine units. The survey was developed using published guidelines, literature review, and provider meetings and refined through pilot testing. Psychometric properties were assessed, and regression analyses were conducted to examine barriers to early mobility by hospital site, provider discipline, and years of experience. Results: Internal consistency reliability, item consistency, and discriminant validity psychometric characteristics were acceptable. In multivariable regression analysis, overall perceived barriers were similar between the two hospitals (P = 0.25) and significantly higher for staff with less experience (P = 0.02) and for nurses vs. rehabilitation therapists (P < 0.001 ).The survey identified specific barriers common to both nurses and rehabilitation therapists and other barriers that were discipline specific. Conclusions: This novel survey identified important barriers to mobilizing medical inpatients that were similar across two hospital settings. These results can assist with the implementation of quality improvement projects for increasing early hospital-based patient mobility. [ABSTRACT FROM AUTHOR]

Background: While community capabilities are recognized as important factors in developing resilient health systems and communities, appropriate metrics for these have not yet been developed. Furthermore, the role of community capabilities on access to maternal health services has been underexplored. In this paper, we summarize the development of a community capability score based on the Future Health System (FHS) project's experience in Bangladesh, India, and Uganda, and, examine the role of community capabilities as determinants of institutional delivery in these three contexts.Methods: We developed a community capability score using a pooled dataset containing cross-sectional household survey data from Bangladesh, India, and Uganda. Our main outcome of interest was whether the woman delivered in an institution. Our predictor variables included the community capability score, as well as a series of previously identified determinants of maternal health. We calculate both population-averaged effects (using GEE logistic regression), as well as sub-national level effects (using a mixed effects model).Results: Our final sample for analysis included 2775 women, of which 1238 were from Bangladesh, 1199 from India, and 338 from Uganda. We found that individual-level determinants of institutional deliveries, such as maternal education, parity, and ante-natal care access were significant in our analysis and had a strong impact on a woman's odds of delivering in an institution. We also found that, in addition to individual-level determinants, greater community capability was significantly associated with higher odds of institutional delivery. For every additional capability, the odds of institutional delivery would increase by up to almost 6 %.Conclusion: Individual-level characteristics are strong determinants of whether a woman delivered in an institution. However, we found that community capability also plays an important role, and should be taken into account when designing programs and interventions to support institutional deliveries. Consideration of individual factors and the capabilities of the communities in which people live would contribute to the vision of supporting people-centered approaches to health. [ABSTRACT FROM AUTHOR]