Validation of a theoretically motivated approach to measuring childhood socioeconomic circumstances in the Health and Retirement Study

Childhood socioeconomic status (cSES) is a powerful predictor of adult health, but its operationalization and measurement varies across studies. Using Health and Retirement Study data (HRS, which is nationally representative of community-residing United States adults aged 50+ years), we specified theoretically-motivated cSES measures, evaluated their reliability and validity, and compared their performance to other cSES indices. HRS respondent data (N = 31,169, interviewed 1992–2010) were used to construct a cSES index reflecting childhood social capital (cSC), childhood financial capital (cFC), and childhood human capital (cHC), using retrospective reports from when the respondent was 0.05 vs. < 0.04) than alternative indices. Our cSES measures use latent variable models to handle item-missingness, thereby increasing the sample size available for analysis compared to complete case approaches (N = 15,345 vs. 8,248). Adopting this type of theoretically motivated operationalization of cSES may strengthen the quality of research on the effects of cSES on health outcomes

Undergoing Transformation to the Patient Centered Medical Home in Safety Net Health Centers: Perspectives from the Front Lines

Objectives—Safety Net Health Centers (SNHCs), which include Federally Qualified Health Centers (FQHCs) provide primary care for underserved, minority and low income patients. SNHCs across the country are in the process of adopting the Patient Centered Medical Home (PCMH) model, based on promising early implementation data from demonstration projects. However, previous demonstration projects have not focused on the safety net and we know little about PCMH transformation in SNHCs. Design—This qualitative study characterizes early PCMH adoption experiences at SNHCs. Setting and Participants—We interviewed 98 staff,(administrators, providers, and clinical staff) at 20 of 65 SNHCs, from five states, who were participating in the first of a five-year PCMH collaborative, the Safety Net Medical Home Initiative. Main Measures—We conducted 30-45 minute, semi-structured telephone interviews. Interview questions addressed benefits anticipated, obstacles encountered, and lessons learned in transition to PCMH. Results—Anticipated benefits for participating in the PCMH included improved staff satisfaction and patient care and outcomes. Obstacles included staff resistance and lack of financial support for PCMH functions. Lessons learned included involving a range of staff, anticipating resistance, and using data as frequent feedback. Conclusions—SNHCs encounter unique challenges to PCMH implementation, including staff turnover and providing care for patients with complex needs. Staff resistance and turnover may be ameliorated through improved healthcare delivery strategies associated with the PCMH. Creating predictable and continuous funding streams may be more fundamental challenges to PCMH transformation

Strength of bolted joints in composites under concentrated moment

Rigid mechanical fasteners in transversely isotropic composite panels create large stress concentrations in the composite near the fastener washers. The work presented in this paper involved an experimental strain investigation to obtain the distribution of strain in the composite near the edge of the washer and a failure investigation to determine the onset-of-failure moment and the catastrophic-failure moment for various washer designs. The flexural rigidity of the washer was shown to be important for obtaining both high onset-of-failure moments and catastrophic-failure moments. Washers with large shoulder radii were shown to have higher catastrophic-failure moments. The experimentally determined strain distributions and the results of the failure investigation with 25.4 mm diameter rigid washers were used to validate finite element models. © 2000 Technomic Publishing Co., Inc

Trends for Reported Discrimination in Health Care in a National Sample of Older Adults with Chronic Conditions

BackgroundDiscrimination in health care settings is associated with poor health outcomes and may be especially harmful to individuals with chronic conditions, who need ongoing clinical care. Although efforts to reduce discrimination are growing, little is known about national trends in discrimination in health care settings.MethodsFor Black, White, and Hispanic respondents with chronic disease in the 2008-2014 Health and Retirement Study (N&nbsp;=&nbsp;13,897 individuals and 21,078 reports), we evaluated trends in patient-reported discrimination, defined based on frequency of receiving poorer service or treatment than other people from doctors or hospitals ("never" vs. all other). Respondents also reported the perceived reason for the discrimination. In addition, we evaluated whether wealth predicted lower prevalence of discrimination for Blacks or Whites. We used generalized estimating equation models to account for dependency of repeated measures on individuals and wave-specific weights to represent the US non-institutionalized population aged 54+&nbsp;.ResultsThe estimated prevalence of experiencing discrimination in health care among Blacks with a major chronic condition was 27% (95% CI: 23, 30) in 2008 and declined to 20% (95% CI: 17, 22) in 2014. Reports of receiving poorer service or treatment were stable for Whites (17%, 95% CI: 16, 19 in 2014). The Black-White difference in reporting any health care discrimination declined from 8.2% (95% CI: 4.5, 12.0) in 2008 to 2.5% (95% CI: -1.1, 6.0) in 2014. There was no clear trend for Hispanics. Blacks reported race and Whites reported age as the most common reason for discrimination.ConclusionsFindings suggest national declines in patient-reported discrimination in health care among Blacks with chronic conditions from 2008 to 2014, although reports of discrimination remain common for all racial/ethnic groups. Our results highlight the critical importance of monitoring trends in reports of discrimination in health care to advance equity in health care

Quality and quantity: The association of state-level educational policies with later life cardiovascular disease

Education is a powerful predictor of cardiovascular morbidity and mortality. While the majority of the literature has focused on years of educational attainment or degree attainment, fewer studies examine the role of educational quality in the prevention of cardiovascular disease (CVD). We tested the hypothesis that average state-level educational quality was associated with CVD, linking state-level data on educational quality with individual demographic and health data from multiple waves of the National Health and Nutrition Examination Survey (N = 34,770). We examined thirteen CVD-related outcomes-including blood pressure, cholesterol, and heart attack-to understand the multiple pathways through which educational quality may influence CVD. The primary predictor was a composite index of educational quality, combining state-level measures of student-teacher ratios, per-pupil expenditures, and school term length. We fit multivariable models, regressing each outcome on the educational quality composite index and adjusting for individual- and state-level covariates. We also assessed whether the association between state educational quality and CVD differed for less educated individuals. Overall, higher educational quality was associated with less smoking (OR = 0.86, 95%CI: 0.77, 0.97), but there was no statistically significant association for the other 12 outcomes. Interaction tests indicated that less educated individuals benefited less from higher educational quality relative to those with more education for several outcomes. Our study suggests that state-level educational quality is not strongly associated with CVD, and that this null association overall may mask heterogeneous benefits that accrue disproportionately to those with higher levels of education

Le Monde

28 février 18721872/02/28 (A13,N50).Appartient à l’ensemble documentaire : BbLevt

Linear regression models evaluating relationships between childhood SES domains and theoretical correlates.

<p>Linear regression models evaluating relationships between childhood SES domains and theoretical correlates.</p

Comparison of validated measures with other comprehensive measures on self-rated health and number of depressive symptoms, using all available cases.

<p>Comparison of validated measures with other comprehensive measures on self-rated health and number of depressive symptoms, using all available cases.</p