Gender differences in substance use and psychiatric distress among medical students: A comprehensive statewide evaluation.

BACKGROUND: Medical student wellness has emerged as an important issue in medical education. The purpose of the present study was to obtain a comprehensive assessment of substance use, psychological distress, and help-seeking among male and female medical students in order to identify targets for continued intervention efforts. METHODS: Medical students from all 9 medical schools in the state of Florida were invited via e-mail and/or announcements to complete an anonymous online questionnaire assessing their well-being. Of 5053 matriculating medical students, 1137 (57.1% female) responded to the questionnaire. Descriptive statistics, t tests, and chi-square analyses were computed using SPSS 20. RESULTS: Over 70% of students acknowledged binge drinking, with men reporting higher frequency than women (χ2 = 13.90, P = .003), and 22.7% (n = 201) reported marijuana use during medical school, with higher rates (χ2 = 9.50, P = .02) among men (27.0%, n = 99) than women (18.9%, n = 93). A significant minority of students reported nonmedical use of prescription stimulants and prescription opioids. In addition, 3.3% of male students (n = 12) compared with 0.6% of female students (n = 3) reported problematic drug use. Further, almost 2/3 of respondents reported decreased psychological health since beginning medical school, with women noting greater reductions (χ2 = 12.39, P = .05) and higher levels of stress (χ2 = 16.30, P = .003). Over 10% of students (n = 102) endorsed "thoughts of committing suicide" during medical school, and 70.1% felt they would benefit from mental healthcare (79.3% of women vs. 59.6% of men; χ2 = 41.94, P < .001), although only 39.8% accessed help. CONCLUSIONS: Despite efforts to address medical student wellness, students continue to report concerning levels of psychological distress, suicidal ideation, and substance use. More work is needed to effectively address medical student mental health and well-being.

Hospital variation in cesarean delivery rates: contribution of individual and hospital factors in Florida.

BACKGROUND: Primary cesarean deliveries are a major contributor to the large increase in cesarean delivery rates in the United States over the past 2 decades and are an essential focus for the reduction of related morbidity and costs. Studies have shown that primary cesarean delivery rates among low-risk women in the United States vary 3-fold across hospitals and are not explained by differences in patient case-mix. However, the extent to which maternal vs hospital characteristics contribute to this variation remains poorly understood because previous studies were limited in scope and did not assess the influence of factors such as maternal ethnicity subgroups or prepregnancy obesity. OBJECTIVE: We assessed the contribution of individual- and hospital-level risk factors to the hospital variation in primary cesarean delivery rates among low-risk women in Florida. STUDY DESIGN: Our population-based retrospective cohort study used Florida's linked birth certificate and hospital discharge records for the period of 2004-2011. The study population was comprised of 412,192 nulliparous, singleton, vertex, live births with labor at 37-40 weeks gestation in 122 nonmilitary delivery hospitals. Data were analyzed with logistic mixed-effects regression with cesarean delivery as the outcome. This approach provided adjusted risk estimates at an individual and hospital level and the estimated percent of hospital variation statewide that was explained by these factors. RESULTS: The primary cesarean delivery rate in the study population was 23.9%, with hospital-specific estimates that ranged from 12.8-47.3%. Leading risk factors for cesarean delivery were maternal age ≥35 years (adjusted relative risk, 2.22), prepregnancy obesity (body mass index, ≥30 kg/m(2); adjusted relative risk, 1.73), medical risk conditions (adjusted relative risk, 1.72), labor induction (adjusted relative risk, 1.52), and delivery in hospitals located in Miami-Dade County (adjusted relative risk, 1.73). Hospital geographic location was a significant effect modifier for prepregnancy obesity, medical conditions, and labor induction (P < .05), with a tendency towards lower adjusted relative risks for these factors in Miami-Dade County relative to other Florida regions. Conversely, Miami-Dade County had an increased prevalence of higher-risk ethnic subgroups, such as Cuban or Puerto Rican mothers, and also substantially higher adjusted relative risks that were associated with practice-related factors, such as delivery during weekday hours. Whereas hospital geographic location contributed to 39.6% of the observed variation statewide, the estimated contribution of maternal ethnicity ranged from 1.6-15.7% among Florida regions. CONCLUSIONS: Hospital geographic location contributes to hospital variation in primary cesarean delivery rates among low-risk women in Florida. In contrast to previous studies, our findings suggest that individual level risk factors such as maternal ethnicity also contribute to some of this variation, with differing extent by region. These individual factors likely interact with practice factors and add to the variation. This study was limited by not including maternal Bishop score before induction or obstetrics provider in the analysis. These were not available on the dataset but likely contribute to the variation. Our findings suggest potential issues to consider in quality improvement efforts, such as the need for future qualitative research that focuses on mothers in higher-risk ethnic subgroups and providers in high-rate hospitals, particularly those in Miami-Dade County. These studies may help to identify potential cultural differences in maternal beliefs and expectations for delivery and maternal reasons for differences in obstetrics practices.

The Obstetric Hemorrhage Initiative (OHI) in Florida: The Role of Intervention Characteristics in Influencing Implementation Experiences among Multidisciplinary Hospital Staff.

Objectives Obstetric hemorrhage is one of the leading causes of maternal mortality. The Florida Perinatal Quality Collaborative coordinates a state-wide Obstetric Hemorrhage Initiative (OHI) to assist hospitals in implementing best practices related to this preventable condition. This study examined intervention characteristics that influenced the OHI implementation experiences among Florida hospitals. Methods Purposive sampling was employed to recruit diverse hospitals and multidisciplinary staff members. A semi-structured interview guide was developed based on the following constructs from the intervention characteristics domain of the Consolidated Framework for Implementation Research: evidence strength; complexity; adaptability; and packaging. Interviews were audio-recorded, transcribed and analyzed using Atlas.ti. Results Participants (n = 50) across 12 hospitals agreed that OHI is evidence-based and supported by various information sources (scientific literature, experience, and other epidemiologic or quality improvement data). Participants believed the OHI was 'average' in complexity, with variation depending on participant's role and intervention component. Participants discussed how the OHI is flexible and can be easily adapted and integrated into different hospital settings, policies and resources. The packaging was also found to be valuable in providing materials and supports (e.g., toolkit; webinars; forms; technical assistance) that assisted implementation across activities. Conclusions for Practice Participants reflected positively with regards to the evidence strength, adaptability, and packaging of the OHI. However, the complexity of the initiative adversely affected implementation experiences and required additional efforts to maximize the initiative effectiveness. Findings will inform future efforts to facilitate implementation experiences of evidence-based practices for hemorrhage prevention, ultimately decreasing maternal morbidity and mortality.

Maternal and hospital characteristics of non-medically indicated deliveries prior to 39 weeks.

Non-medically indicated (NMI) deliveries prior to 39 weeks increase the risk of neonatal mortality, excess morbidity, and health care costs. The study's purpose was to identify maternal and hospital characteristics associated with NMI deliveries prior to 39 weeks. The study included 207,775 births to women without a previous cesarean and 38,316 births to women with a previous cesarean, using data from Florida's 2006-2007 linked birth certificate and inpatient record file. Adjusted risk ratios (ARR) and 95 % confidence intervals (CI) for characteristics were calculated using generalized estimating equation for multinomial logistic regression. Among women without a previous cesarean, NMI deliveries occurred in 18,368 births (8.8 %). Non-medically indicated inductions were more likely in women who were non-Hispanic white (ARR: 1.41, 95 % CI 1.31-1.52), privately-insured (ARR: 1.42, 95 % CI 1.26-1.59), and delivered in hospitals with <500 births per year. Non-medically indicated primary cesareans were more likely in women who were older than 35 years (ARR: 2.96, 95 % CI 2.51-3.50), non-Hispanic white (ARR: 1.44, 95 % CI 1.30-1.59), and privately-insured (ARR: 1.43, 95 % CI 1.17-1.73). Non-medically indicated primary cesareans were also more likely to occur in hospitals with <30 % nurse-midwife births, <500 births per year, and in large metro areas. Among women with previous cesarean, NMI repeat cesareans occurred in 16,746 births (43.7 %). Only weak risk factors were identified for NMI repeat cesareans. The risk factors identified varied by NMI outcome. This information can be used to inform educational campaigns and identify hospitals that may benefit from quality improvement efforts.

Hospital Variations in Unexpected Complications Among Term Newborns.

OBJECTIVES: To examine contributing factors and potential reasons for hospital differences in unexpected newborn complication rates in Florida. METHODS: We conducted a population-based retrospective cohort study of linked birth certificate and hospital discharge records from 2004 to 2013. The study population included 1 604 774 term, singleton live births in 124 hospitals. Severe and moderate complications were identified via a published algorithm. Logistic mixed-effects models were used to examine risk factors for complications and to estimate the percentage of hospital variation explained by factors. Descriptive analyses were performed to explore reasons for the differences. RESULTS: Hospital total complication rates varied from 6.7 to 98.6 per 1000 births. No correlation between severe and moderate complication rates by hospital was identified. Leading risk factors for complications included medically indicated early-term delivery, no prenatal care, nulliparity, prepregnancy obesity, tobacco use, and delivery in southern Florida hospitals. Hospital factors such as geographic location, level of care or birth volume, and Medicaid births percentage explained 35% and 27.8% of variation in severe and moderate complication rates, respectively. Individual factors explained an additional 6% of variation in severe complication rates. Different complication subcategories (eg, infections, hospital transfers) drove the hospital factors that contributed to severe and moderate complications. CONCLUSIONS: Variation in unexpected complication rates is more likely to be related to hospital rather than patient characteristics in Florida. The high proportion of variation explained by hospital factors suggests potential opportunities for improvement, and identifying specific complication categories may provide focus areas. Some of the opportunities may be related to differences in hospital coding practice.