Suchergebnisse

CHAPTER ONE: Introduction -- CHAPTER TWO: Methods -- Criteria for Assessing Performance of Statistical Models -- Design of the Simulation -- Statistical Models Investigated -- Simulation Implementation -- CHAPTER THREE: Results -- Type Error Rates -- Correct Rejection Rates -- Directional Bias -- Magnitude Bias -- Other Considerations in Model Selection -- CHAPTER FOUR: Discussion -- Concerns About Low Power -- Common Adjustments to Standard Errors Often Were Insufficient -- Log Transformation of Rate Outcomes Resulted in Inference Errors -- Limitations -- Conclusions -- APPENDIXES: A. Technical Description of Evaluated Models -- B. Standard Error Correction Factors.

Drawing upon data from the Deployment Life Study, this article examines whether female military spouses (SPs) are disadvantaged relative to matched civilian peers in terms of hours worked and earnings, paying particular attention to gaps among the highest educated women. Female SPs do earn less than comparable civilian peers in terms of raw dollars and percentage earnings. Moreover, military wives who are part of the labor force work as many hours as their civilian counterparts, but still earn significantly less for that work. Contrary to predictions, the most educated SPs are not disproportionately affected compared to spouses with less education. These results suggest that SPs at all education levels could benefit from employment assistance; in particular, women already participating in the labor force may benefit from support in finding higher paying jobs.

To help fill the gap in the research on the effectiveness of military family support programs, a RAND study explored the curriculum, themes, and outcomes of Operation Purple, a free weeklong summer camp program for youth with a deployed parent.

Opioid-related mortality increased by nearly 400% between 2000 and 2018. In response, federal, state, and local governments have enacted a heterogeneous collection of opioid-related policies in an effort to reverse the opioid crisis, producing a policy landscape that is both complex and dynamic. Correspondingly, there has been a rise in opioid-policy related evaluation studies, as policymakers and other stakeholders seek to understand which policies are most effective. In this paper, we provide an overview of methodological challenges facing opioid policy researchers when evaluating the effects of opioid policies using observational data, as well as some potential solutions to those challenges. In particular, we discuss the following key challenges: (1) Obtaining high-quality opioid policy data; (2) Appropriately operationalizing and specifying opioid policies; (3) Obtaining high-quality opioid outcome data; (4) Addressing confounding due to systematic differences between policy and non-policy states; (5) Identifying heterogeneous policy effects across states, population subgroups, and time; (6) Disentangling effects of concurrent policies; and (7) Overcoming limited statistical power to detect policy effects afforded by commonly-used methods. We discuss each of these challenges and propose some ways forward to address them. Increasing the methodological rigor of opioid evaluation studies is imperative to identifying and implementing opioid policies that are most effective at reducing opioid-related harms.

We described Medicaid-insured women by receipt of perinatal opioid use disorder (OUD) treatment; and trends and disparities in treatment. Using 2007 to 2012 Medicaid Analytic eXtract data from 45 states and D.C., we identified deliveries among women with OUD. Regressions modeled the association between patient characteristics and receipt of any OUD treatment, medication for OUD (MOUD), and counseling alone during the perinatal period. Rates of any OUD treatment and MOUD for women with perinatal OUD increased over the study period, but trends differed by subgroup. Compared with non-Hispanic White women, Black and American Indian/Alaskan Native (AI/AN) women were less likely to receive any OUD treatment, and Black women were less likely to receive MOUD. Over time, the disparity in receipt of MOUD between Black and White women increased. Overall gains in OUD treatment were driven by improvements in perinatal OUD care for White women and obscured disparities for Black and AI/AN women.

Purpose. Identify and compare predictors of the existence of congregational human immunodeficiency virus (HIV) and other health programs. Design. Cross-sectional study. Setting. United States. Subjects. A nationally representative sample of 1506 U.S. congregations surveyed in the National Congregations Study (2006–2007). Measures. Key informants at each congregation completed in-person and telephone interviews on congregational HIV and other health programs and various congregation characteristics (response rate = 78%). County-level HIV prevalence and population health data from the Robert Wood Johnson Foundation's 2007 County Health Rankings were linked to the congregational data. Analysis. Multinomial logistic regression was used to assess factors that predict congregational health programs relative to no health programs; and of HIV programs relative to other health activities. Results. Most congregations (57.5%) had at least one health-related program; many fewer (5.7%) had an HIV program. Predictors of health vs. HIV programs differed. The number of adults in the congregation was a key predictor of health programs, while having an official statement welcoming gay persons was a significant predictor of HIV programs (p < .05). Other significant characteristics varied by size of congregation and type of program (HIV vs. other health). Conclusion. Organizations interested in partnering with congregations to promote health or prevent HIV should consider congregational size as well as other factors that predict involvement. Results of this study can inform policy interventions to increase the capacity of religious congregations to address HIV and health.

Sleep disturbances are a common reaction to stress and are linked to a host of physical and mental health problems. Given the unprecedented demands placed on U.S. military forces since 2001, there has been growing concern about the prevalence and consequences of sleep problems for servicemembers. Sleep problems often follow a chronic course, persisting long after servicemembers return home from combat deployments, with consequences for their reintegration and the readiness and resiliency of the force. Therefore, it is critical to understand the role of sleep problems in servicemembers' health and functioning and the policies and programs available to promote healthy sleep. This study provides the first comprehensive review of sleep-related policies and programs across the U.S. Department of Defense (DoD), along with a set of actionable recommendations for DoD, commanders, researchers, and medical professionals who treat U.S. servicemembers. The two-year multimethod study also examined the rates and correlates of sleep problems among post-deployed servicemembers, finding negative effects on mental health, daytime impairment, and perceived operational readiness. The research reviewed evidence-based interventions to treat sleep disturbances among servicemembers and veterans and exposed several individual- and system-level barriers to achieving healthy sleep. Implementing evidence-based treatments is just one step toward improving sleep across the force; as the research recommendations highlight, it is equally important that policies and programs also focus on preventing sleep problems and their consequences.

Over the past 15 years, the suicide rate among members of the U.S. armed forces has doubled, with the greatest increase observed among soldiers in the Army. This increasing rate is paralleled by a smaller increase in the general U.S. population, observed across both genders, in virtually every age group and in nearly every state. An empirical question exists: What is the extent or degree to which the suicide trend in the Army is unique to that service, relative to what is observed in the general U.S. population? The Army has typically attempted to address this question by standardizing the general population to look like the Army on demographic characteristics. However, given the rise in suicide rates over the past decade, the Army wanted to better understand whether standardization based solely on age and gender is enough. Expanding the characteristics on which the general population is standardized to match the Army could be useful to gain a better understanding of the suicide trends in the Army. However, such a change also brings with it some challenges, including the lack of readily available data in the general U.S. population. In addition, even an expanded set of characteristics still results in having a large number of unmeasured factors that cannot be included in this type of analysis. In this study, the authors explore how accounting for age, gender, race/ethnicity, time, marital status, and educational attainment affects suicide rate differences between soldiers and a comparable subset of the general U.S. population.

Purpose: To implement a multilevel, church-based intervention with diverse disparity populations using community-based participatory research and evaluate feasibility, acceptability, and preliminary effectiveness in improving obesity-related outcomes. Design: Cluster randomized controlled trial (pilot). Setting: Two midsized (∼200 adults) African American baptist and 2 very large (∼2000) Latino Catholic churches in South Los Angeles, California. Participants: Adult (18+ years) congregants (n = 268 enrolled at baseline, ranging from 45 to 99 per church). Intervention: Various components were implemented over 5 months and included 2 sermons by pastor, educational handouts, church vegetable and fruit gardens, cooking and nutrition classes, daily mobile messaging, community mapping of food and physical activity environments, and identification of congregational policy changes to increase healthy meals. Measures: Outcomes included objectively measured body weight, body mass index (BMI), and systolic and diastolic blood pressure (BP), plus self-reported overall healthiness of diet and usual minutes spent in physical activity each week; control variables include sex, age, race–ethnicity, English proficiency, education, household income, and (for physical activity outcome) self-reported health status. Analysis: Multivariate linear regression models estimated the average effect size of the intervention, controlling for pair fixed effects, a main effect of the intervention, and baseline values of the outcomes. Results: Among those completing follow-up (68%), the intervention resulted in statistically significantly less weight gain and greater weight loss (−0.05 effect sizes; 95% confidence interval [CI] = −0.06 to −0.04), lower BMI (−0.08; 95% CI = −0.11 to −0.05), and healthier diet (−0.09; 95% CI = −0.17 to −0.00). There was no evidence of an intervention impact on BP or physical activity minutes per week. Conclusion: Implementing a multilevel intervention across diverse congregations resulted in small improvements in obesity outcomes. A longer time line is needed to fully implement and assess effects of community and congregation environmental strategies and to allow for potential larger impacts of the intervention.