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Objectives This study examined the association between hospital participation in Bundled Payments for Care Improvement (BPCI) or Comprehensive Care for Joint Replacement (CJR) and the timely initiation of home health rehabilitation services for lower extremity joint replacements. Furthermore, this study examined the association between the timely initiation of home health rehabilitation services with improvement in self-care, mobility, and 90-day hospital readmission. Method This retrospective cohort study used Medicare inpatient claims and home health assessment data from 2016 to 2017 for older adults discharged to home with home health following hospitalization after joint replacement. Multilevel multivariate logistic regression was used to examine the association between hospital participation in BPCI or CJR programs and timely initiation of home health rehabilitation service. A 2-staged generalized boosted model was used to examine the association between delay in home health initiation and improvement in self-care, mobility, and 90-day risk-adjusted hospital readmission. Results Compared with patients discharged from hospitals that did not have BPCI or CJR, patients discharged from hospitals with these programs had a lower likelihood of delayed initiation of home health rehabilitation services for both knees and hip replacement. Using propensity scores as the inverse probability of treatment weights, delay in the initiation of home health rehabilitation services was associated with lower improvement in self-care (odds ratio [OR] = 1.23; 95% CI = 1.20–1.26), mobility (OR = 1.15; 95% CI = 1.13–1.18), and higher rate of 90-day hospital readmission (OR = 1.19; 95% CI = 1.15–1.24) for knee replacement. Likewise, delayed initiation of home health rehabilitation services was associated with lower improvement in self-care (OR = 1.16; 95% CI = 1.13–1.20) and mobility (OR = 1.26; 95% CI = 1.22–1.30) for hip replacement. Conclusion Hospital participation in BPCI or comprehensive CJR was associated with early home health rehabilitation care initiation, which was further associated with significant increases in functional recovery and lower risks of hospital readmission. Impact Policy makers may consider incentivizing health care providers to initiate early home health services and care coordination in value-based payment models. [ABSTRACT FROM AUTHOR]

Objectives: This study aimed to determine whether responses to Patient-Reported Outcomes Measurement Information System Short Form v2.0 - Physical Function 8c (PROMIS PF8c) items differed when the use of a 7-day recall period was compared with no specified recall period.Methods: Using a within-subject design, we surveyed 1810 individuals from the US general population, administering PROMIS PF8c at survey beginning and end. The order of measure presentation was randomly assigned. We calculated recall difference scores (RDSs) as no recall score minus 7-day recall score using both item response theory-based T scores and raw summed scores. We examined the distribution and created Bland-Altman plots for both RDSTscore and RDSRaw. We also calculated correlations between no recall versus 7-day recall T score and raw scores. Finally, we determined whether differences in no recall versus 7-day recall scores were associated with patient-reported PF.Results: RDSTscore and RDSRaw had means (root mean square differences) of 0.00 (5.43) and -0.04 (3.79), respectively. The vast majority (%) of RDSTscore and RDSRaw values fell between the Bland-Altman limits of agreement (-10.65 to 10.66 and -7.46 to 7.38, respectively). Pearson's correlations between no recall and 7-day recall for T scores and raw scores were 0.88 and 0.87, respectively. Effect sizes for mean RDSTscore and RDSRaw compared across level of Eastern Oncology Cooperative Group performance status, patient global impression of PF severity, and single PF items were near 0.Conclusions: We did not find any significant recall period effect on PF8c responses. Therefore, we recommend the use of the PROMIS physical function standard, with no specified recall time period. [ABSTRACT FROM AUTHOR]

BACKGROUND: Few studies have investigated air pollution exposure disparities by race/ethnicity and income across criteria air pollutants, locations, or time. OBJECTIVE: The objective of this study was to quantify exposure disparities by race/ethnicity and income throughout the contiguous United States for six criteria air pollutants, during the period 1990 to 2010. METHODS: We quantified exposure disparities among racial/ethnic groups (non-Hispanic White, non-Hispanic Black, Hispanic (any race), non-Hispanic Asian) and by income for multiple spatial units (contiguous United States, states, urban vs. rural areas) and years (1990, 2000, 2010) for carbon monoxide (CO), nitrogen dioxide (NO2), ozone (O3), particulate matter with aerodynamic diameter =2.5 µm (PM2.5; excluding year-1990), particulate matter with aerodynamic diameter =10 µm (PM10), and sulfur dioxide (SO2). We used census data for demographic information and a national empirical model for ambient air pollution levels. RESULTS: For all years and pollutants, the racial/ethnic group with the highest national average exposure was a racial/ethnic minority group. In 2010, the disparity between the racial/ethnic group with the highest vs. lowest national-average exposure was largest for NO2 [54% (4.6 ppb)], smallest for O3 [3.6% (1.6 ppb)], and intermediate for the remaining pollutants (13%–19%). The disparities varied by U.S. state; for example, for PM2.5 in 2010, exposures were at least 5% higher than average in 63% of states for non-Hispanic Black populations; in 33% and 26% of states for Hispanic and for non-Hispanic Asian populations, respectively; and in no states for non-Hispanic White populations. Absolute exposure disparities were larger among racial/ethnic groups than among income categories (range among pollutants: between 1.1 and 21 times larger). Over the period studied, national absolute racial/ethnic exposure disparities declined by between 35% (0.66 µg/m³; PM2.5) and 88% (0.35 ppm; CO); relative disparities declined to between 0.99 × (PM2.5; i.e., nearly zero change) and 0.71 × (CO; i.e., a ~29% reduction). DISCUSSION: As air pollution concentrations declined during the period 1990 to 2010, absolute (and to a lesser extent, relative) racial/ethnic exposure disparities also declined. However, in 2010, racial/ethnic exposure disparities remained across income levels, in urban and rural areas, and in all states, for multiple pollutants. [ABSTRACT FROM AUTHOR]

Background: About 50% of Americans and 70% of US military service members use dietary supplements (DSs).Objectives: This cross-sectional survey examined current prevalence of and factors associated with DS use in service members.Methods: A stratified random sample of 200,000 service members from the Air Force, Army, Marine Corps, and Navy was obtained from military manpower records, and these service members were asked to complete a questionnaire on their DS use and personal characteristics. Chi-square statistics and multivariable logistic regression examined differences across various strata of demographic, lifestyle, and military characteristics.Results: About 18% of successfully contacted service members (n = 26,681) completed the questionnaire between December 2018 and August 2019 (mean ± SD age: 33 ± 8 y, 86% male). Overall, 74% reported using ≥1 DS/wk. Multivitamins/multiminerals were the most commonly used DSs (45%), followed by combination products (44%), proteins/amino acids (42%), individual vitamins/minerals (31%), herbals (20%), joint health products (9%), and purported prohormones (5%). In multivariable analysis, factors independently associated with DS use included female gender [OR (female/male): 1.91; 95% CI: 1.73, 2.11], older age [OR (≥40/18-24 y): 1.25; 95% CI: 1.08, 1.44], higher education level [OR (college degree/high school or less): 1.35; 95% CI: 1.19, 1.53], higher BMI [OR (≥30/<25 kg/m2): 1.37; 95% CI: 1.25, 1.52], more weekly resistance training [OR (>300/≤45 min/wk): 5.05; 95% CI: 4.55, 5.61], smokeless tobacco use [OR (user/nonuser): 1.30; 95% CI: 1.17, 1.44], higher alcohol intake [OR (≥72/0 mL/wk): 1.41; 95% CI: 1.29, 1.54], and higher military rank [OR (senior officer/junior enlisted): 1.26; 95% CI: 1.06, 1.51].Conclusions: Compared with civilian data from the NHANES, service members were much more likely to use DSs and used different types of DSs, especially combination products and proteins/amino acids often used to purportedly enhance physical performance. Comparisons with previous military data suggest DS use has increased over time. [ABSTRACT FROM AUTHOR]

Objectives. We aimed to describe socioeconomic disparities in the United States across multiple health indicators and socioeconomic groups. Methods. Using recent national data on 5 child (infant mortality, health status, activity limitation, healthy eating, sedentary adolescents) and 6 adult (life expectancy, health status, activity limitation, heart disease, diabetes, obesity) health indicators, we examined indicator rates across multiple income or education categories, overall and within racial/ethnic groups. Results. Those with the lowest income and who were least educated were consistently least healthy, but for most indicators, even groups with intermediate income and education levels were less healthy than the wealthiest and most educated. Gradient patterns were seen often among non-Hispanic blacks and whites but less consistently among Hispanics. Conclusions. Health in the United States is often, though not invariably, patterned strongly along both socioeconomic and racial/ethnic lines, suggesting links between hierarchies of social advantage and health. Worse health among the most socially disadvantaged argues for policies prioritizing those groups, but pervasive gradient patterns also indicate a need to address a wider socioeconomic spectrum -- which may help garner political support. Routine health reporting should examine socioeconomic and racial/ethnic disparity patterns, jointly and separately. [ABSTRACT FROM AUTHOR]