To assess predictors of utilization and telelactation visit characteristics, we merged and analyzed data from two sources: visit-level data supplied by the telelactation vendor and longitudinal surveys of women in the intervention group at four timepoints.
Prescription opioid use and driving is a public health concern given the risks associated with drugged driving. We examined the prevalence and correlates of driving after taking prescription opioids among adults seeking emergency department treatment.
With a focus on cluster switching that violates treatment assignment, the goal of this article is to explore the challenges posed for the analysis of clustered RCTs and to propose a potential solution to these challenges.
Sleep is a critical contributor to health and well-being. Sleep disturbances may contribute to racial and socioeconomic disparities in health. Understanding socio-environmental determinants of sleep health disparities is a public health imperative.
This study examines whether the key characteristics of organizational decision makers predicted continued implementation of five different practices that represent organizational cultural competence in one of the most diverse substance use disorder treatment systems in the United States.
We described differences in patient experiences of hospital care by preferred language within racial/ethnic groups using HCAHPS survey data. We measured patient-mix adjusted overall, between-and within-hospital differences inpatient experience by language, using linear regression.
This paper presents the results of a systematic review of 84 studies that map social vulnerability to climate impacts in order to identify common approaches to mapping, evaluate their strengths and limitations, and offer recommendations and future directions for the field.
This paper uses conditional variation in the initial broadcast dates of NOAA Weather Radio All Hazards (NWR) transmitters to produce cross-sectional and fixed effects estimates of the causal impact of expanding the NWR transmitter network.
The ideological gap separating the Republican and Democratic parties in Congress has grown dramatically wider in recent decades. An analysis of the presidential vote in congressional districts over the last 60 years finds that the degree to which most districts are different from the “average” district has grown, supporting the theory that polarization stems from geographic clustering.
Over the last 40 years, the geographic distribution of the American electorate has become more clustered with respect to party voting, college attainment, median family income, and the marriage rate. This is responsible for an estimated 30 percent of the increase in polarization in the House of Representatives over time.
Large efficiency gains and substantial reduction in omitted variable bias are demonstrated in an application to sociodemographic differences in the risk of child obesity estimated from two nationally representative cohort surveys.