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Article Reference Troff document (with manpage macros)Intimate Partner Violence and Effectiveness Level of Contraceptive Selection Post-Abortion
Materials and Methods:  Using data on 245 women who were attending an urban hospital abortion clinic, we assessed whether women had ever experienced emotional, physical, or sexual IPV. Effectiveness of women's post-abortion contraceptive method selection was categorized into high (intrauterine device [IUD] and implant), moderate (pill, patch, ring, and shot), and low (condoms, emergency contraception, and none) effectiveness. Using multinomial logistic regression, we examined the relationship between number of types of IPV experienced and post-abortion contraceptive method effectiveness, adjusting for sociodemographics, prior abortion, having children, abortion trimester, importance of avoiding pregnancy in the next year, pre-abortion psychological distress, and effectiveness level of the contraceptive method women were planning to use before contraceptive counseling. Results:  Twenty-seven percent (27%) of women experienced two or three types of IPV, 35% experienced one IPV type, and 38% experienced no IPV. Compared to women with no histories of IPV, women who experienced two or more types of IPV during their lifetimes were more likely to choose contraceptive methods with moderate effectiveness (adjusted odds ratio [AOR] = 5.23, 95% confidence interval [CI]: 1.13–24.23, p = 0.035) and high effectiveness (AOR = 5.01, 95% CI: 1.12–22.39, p = 0.035) than those with low effectiveness. Conclusion:  Women who experienced two or more types of lifetime IPV selected more effective contraceptive methods post-abortion. Access to contraceptives that are not partner dependent, including long-acting reversible contraceptives (LARC), may be particularly important for women who have experienced multiple types of IPV.
Located in MPRC People / Marie Thoma, Ph.D. / Marie Thoma Publications
Article Reference Troff document (with manpage macros)Evidence of the Linkage Between Hospital-based Care Coordination Strategies and Hospital Overall (Star) Ratings
BACKGROUND:In the new era of value-based payment models and pay for performance, hospitals are in search of the silver bullet strategy or bundle of strategies capable of improving their performance on quality measures. OBJECTIVES:To determine whether there is an association between adoption of hospital-based care coordination strategies and Centers for Medicare and Medicaid Services overall hospital quality (star) ratings and readmission rates. RESEARCH DESIGN:We used survey data from the American Hospital Association (AHA) and categorized respondents by the number of care coordination strategies that they reported having widely implemented. We used multiple logistic regression models to examine the association between the number of strategies and hospital overall rating performance and disease-specific 30-day excess readmission ratios, while controlling for hospital and county characteristics and state-fixed effects. SUBJECTS:A total of 710 general acute care noncritical access hospitals that received star ratings and responded to the 2015 AHA Care Systems and Payment Survey. MEASURES:Centers for Medicare and Medicaid Services overall hospital ratings, 30-day excess readmission ratios. RESULTS:As compared with hospitals with 0-2 strategies, hospitals with 3 to 4 strategies (P=0.007), 5-7 strategies (P=0.002), or 8-12 strategies (P=0.002) had approximately 2.5× the odds of receiving a top rating (4 or 5 stars). Care coordination strategies were positively associated with lower 30-day readmission ratios for patients with chronic medical conditions, but not for surgical patients. Medication reconciliation, visit summaries, outreach after discharge, discharge care plans, and disease management programs were each individually associated with top ratings. CONCLUSIONS:Care coordination strategies are associated with high overall hospital ratings.
Located in MPRC People / Jie Chen, Ph.D. / Jie Chen Publications
Article Reference Troff document (with manpage macros)How Early Is Too Early? Identification of Elevated, Persistent Problem Behavior in Childhood
We inquire how early in childhood children most at risk for problematic patterns of internalizing and externalizing behaviors can be accurately classified. Yearly measures of anxiety/depressive symptoms and aggressive behaviors (ages 6–13;  n  = 334), respectively, are used to identify behavioral trajectories. We then assess the degree to which limited spans of yearly information allow for the correct classification into the elevated, persistent pattern of the problem behavior, identified theoretically and empirically as high-risk and most in need of intervention. The true positive rate (sensitivity) is below 70% for anxiety/depressive symptoms and aggressive behaviors using behavioral information through ages 6 and 7. Conversely, by age 9, over 90% of the high-risk individuals are correctly classified (i.e., sensitivity) for anxiety/depressive symptoms, but this threshold is not met until age 12 for aggressive behaviors. Notably, the false positive rate of classification for both high-risk problem behaviors is consistently low using each limited age span of data (< 5%). These results suggest that correct classification into highest risk groups of childhood problem behavior is limited using behavioral information observed at early ages. Prevention programming targeting those who will display persistent, elevated levels of problem behavior should be cognizant of the degree of misclassification and how this varies with the accumulation of behavioral information. Continuous assessment of problem behaviors is needed throughout childhood in order to continually identify high-risk individuals most in need of intervention as behavior patterns are sufficiently realized.
Located in MPRC People / Terence Thornberry, Ph.D. / Terence Thornberry Publications
Article Reference Troff document (with manpage macros)Medicaid Instability and Mental Health of Teen Parent Families
This study examines the effect of inconsistent  Medicaid coverage  on  parenting stress , maternal depression, and child behavior in a sample of teen mothers and their children. The majority (54%) of mothers experienced inconsistent coverage. After 24 months, mothers experiencing inconsistent coverage had significantly higher  parenting stress  and depressive symptoms, and their children had more internalizing behaviors than families with consistent Medicaid. These differences existed despite no initial differences and controlling for numerous covariates. Policies and practices that stabilize  Medicaid coverage  for teen parent families may reduce unnecessary stress, depressive symptoms, and early childhood behavior problems.
Located in MPRC People / Amy Lewin, Psy.D. / Amy Lewin Publications
Article Reference Troff document (with manpage macros)Tobacco smoking, chewing habits, alcohol drinking and the risk of head and neck cancer in Nepal
Although tobacco smoking, pan chewing and alcohol drinking are important risk factors for head and neck cancer (HNC), the HNC risks conferred by products available in Nepal for these habits are unknown. We assessed the associations of tobacco smoking, chewing habits, and alcohol drinking with HNC risk in Nepal. A case–control study was conducted in Nepal with 549 incident HNC cases and 601 controls. Odds ratios (OR) and 95% confidence intervals (CI) were estimated using unconditional logistic regression adjusting for potential confounders. We observed increased HNC risk for tobacco smoking (OR: 1.54; 95% CI: 1.14, 2.06), chewing habits (OR: 2.39; 95% CI: 1.77, 3.23), and alcohol drinking (OR: 1.57; 95% CI: 1.14, 2.18). The population attributable fraction (PAF) was 24.3% for tobacco smoking, 39.9% for chewing habits and 23.0% for alcohol drinking. Tobacco smoking, chewing habits, and alcohol drinking might be responsible for 85.3% of HNC cases. Individuals who smoked tobacco, chewed products and drank alcohol had a 13‐fold increase in HNC risk (OR: 12.83; 95% CI: 6.91, 23.81) compared to individuals who did not have any of these habits. Both high frequency and long duration of these habits were strong risk factors for HNC among the Nepalese with clear dose–response trends. Preventive strategies against starting these habits and support for quitting these habits are necessary to decrease the incidence of HNC in Nepal.
Located in MPRC People / Amir Sapkota, Ph.D. / Amir Sapkota Publications
Michael Bader, American University and Visiting Scholar
Segregation in Place: Estimating the Contribution of White Flight to Racial Segregation in the 21st Century
Located in Coming Up
Article ReferenceAnalyzing Associations Between Chronic Disease Prevalence and Neighborhood Quality Through Google Street View Images
Deep learning and, specifically, convoltional neural networks (CNN) represent a class of powerful models that facilitate the understanding of many problems in computer vision. When combined with a reasonable amount of data, CNNs can outperform traditional models for many tasks, including image classification. In this work, we utilize these powerful tools with imagery data collected through Google Street View images to perform virtual audits of neighborhood characteristics. We further investigate different architectures for chronic disease prevalence regression through networks that are applied to sets of images rather than single images. We show quantitative results and demonstrate that our proposed architectures outperform the traditional regression approaches.
Located in MPRC People / Quynh Nguyen, Ph.D., M.S.P.H. / Quynh Nguyen Publications
Julia Steinberg featured in Reuters on women’s mental health following an abortion
No evidence found on women’s negative emotions following an abortion
Located in News
Marian MacDorman featured in Vox on Maternal Mortality Rate
U.S. lags behind in terms of maternal mortality rate
Located in News
Article Reference Troff document (with manpage macros)Associations Between Community-Level LGBTQ-Supportive Factors and Substance Use Among Sexual Minority Adolescents
Purpose:  Using representative school-based data and community-level primary data, we investigated how environmental factors (e.g., school and community climate) might be protective against substance use behaviors among a vulnerable population of adolescents. Methods:  We analyzed a sample of 2678 sexual minority adolescents using a combination of student-level data (British Columbia Adolescent Health Survey) and primary community-level data (assessing lesbian, gay, bisexual, transgender, and queer [LGBTQ]-specific community and school environments). Using multilevel logistic regression models, we examined associations between lifetime substance use (alcohol, illegal drugs, marijuana, nonmedical use of prescription drugs, and smoking) and community-level predictors (community and school LGBTQ supportiveness). Results:  Above and beyond student characteristics (e.g., age and years living in Canada), sexual minority adolescents residing in communities with more LGBTQ supports (i.e., more supportive climates) had lower odds of lifetime illegal drug use (for boys and girls), marijuana use (for girls), and smoking (for girls). Specifically, in communities with more frequent LGBTQ events (such as Pride events), the odds of substance use among sexual minority adolescents living in those communities was lower compared with their counterparts living in communities with fewer LGBTQ supports. Conclusions:  The availability of LGBTQ community-level organizations, events, and programs may serve as protective factors for substance use among sexual minority adolescents. In particular, LGBTQ-supportive community factors were negatively associated with substance use, which has important implications for our investment in community programs, laws, and organizations that advance the visibility and rights of LGBTQ people.
Located in MPRC People / Jessica N Fish, Ph.D. / Jessica N Fish Publications