Background Although postpartum (PP) care is essential for the health and well‐being of women and their infants, many women in the United States do not receive PP care. In order to ensure that women's PP needs are met, it is essential to develop delivery models that address their barriers to care. The objective of the current study was to obtain women's feedback and perspectives about delivering women's health care at the well‐baby visit (WBV) using a modified mixed‐methods approach including open‐ended interviews and surveys. Methods Twenty brief open‐ended interviews were conducted with PP women at a large urban medical center in Chicago. The interviews were recorded, transcribed, and coded following a mixed deductive and inductive approach and analyzed using Dedoose. Following the interview analysis, surveys with 50 immediate PP women and 50 who were 2‐4 months PP were conducted. Statistical analyses included frequencies and chi‐square tests to determine differences between participants interviewed at the two time periods. Results Key themes that emerged from the open‐ended interviews include the tension between the desire for continuity of care (prenatal to PP) and the desire for convenient care. The surveys found that 86%‐94% of women would be interested in receiving PP care at the same clinic site and time as their new baby. Conclusions One approach to addressing women's PP health and need for convenient care is the provision of components of women's health care at the WBV. Therefore, we present an innovative two‐generation model for PP care focusing on needs of both the woman and infant.

Objective: To determine if the use of a simple self-administered Postpartum Questionnaire for Mothers (PQM) at the well-baby visit (WBV) increased the proportion of women who received health care and contraception by 6 months postpartum (PP). Methods: This was a single-site, system-level, intervention. Women were recruited from the pediatric clinic when presenting with their infants for a 2-month WBV. During phase 1 of the study, a control group was enrolled, followed by an 8-week washout period; then enrollment of the intervention group (phase 2). During phase 2, the PQM was administered and reviewed by the pediatrician during the infant's visit; the tool prompted the pediatrician to make a referral for the mother's primary or contraceptive care as needed. Data were collected at baseline and at 6 months PP, and additional data were extracted from the electronic medical record. Results: We found that PP women exposed to the PQM during their infant's WBV were more likely to have had a health care visit for themselves between 2 and 6 months PP, compared with the control group (relative risk [RR] 1.66, [confidence interval (CI) 0.91-3.03]). In addition, at 6 months PP, women in the intervention group were more likely to identify a primary care provider (RR 1.84,), and more likely to report use of long-acting reversible contraception (LARC) (RR 1.24, [CI 0.99-1.58]), compared with women in the control group. Conclusion: A simple self-administered PQM resulted in an increase in women's receipt of health care and use of LARC by 6 months PP. Clinical Trial Registration: Use of a reproductive life planning tool at the pediatric well-baby visit with postpartum women, NCT03448289.

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Objectives: Before implementation of the Affordable Care Act, many uninsured women in Illinois received care through safety-net programs. The new law allowed them to acquire health insurance through Medicaid or the Illinois Health Exchange. We examined (1) the health care experiences of such women who previously used a safety-net program and acquired this new coverage and (2) persisting gaps in coverage for breast and cervical cancer services and other health care services. Methods: We interviewed a stratified random sample of 400 women aged 34-64 in Illinois each year during 2015-2017 (total N = 1200). We used multivariable logistic regression models to determine the association between health insurance status (Illinois Health Exchange vs Medicaid) and past 12-month gaps in coverage (ie, delaying care, not having a recent mammogram, having a medical cost, and having a medical cost not covered) for the 360 women who were former participants of the Illinois Breast and Cervical Cancer Program. We calculated odds ratios (ORs) and 95% confidence intervals (CIs), adjusting for race/ethnicity, age, income, and education. Results: We found no significant differences by health insurance status in the prevalence of delaying preventive, chronic, or sick care; timeliness of the most recent mammogram; and having a major medical cost. However, of women who reported a major medical cost, women with health insurance through the Illinois Health Exchange had a higher prevalence of not having a cost covered than women with Medicaid (adjusted OR = 4.86; 95% CI, 1.48-16.03). Conclusions: The results of this study suggest that many women who gained health insurance lacked adequate coverage and services. Safety-net programs will likely continue to play an essential role in supporting women as they navigate a complex system.

The current opioid crisis and the increase in injection drug use (IDU) have led to outbreaks of HIV in communities across the country. These outbreaks have prompted country and statewide examination into identifying factors to determine areas at risk of a future HIV outbreak. Based on methodology used in a prior nationwide county-level analysis by the US Centers for Disease Control and Prevention (CDC), we examined Illinois at the ZIP code level (n = 1,383). Combined acute and chronic hepatitis C virus (HCV) infection among persons <40 years of age was used as an outcome proxy measure for IDU. Local and statewide data sources were used to identify variables that are potentially predictive of high risk for HIV/HCV transmission that fell within three main groups: health outcomes, access/resources, and the social/economic/physical environment. A multivariable negative binomial regression was performed with population as an offset. The vulnerability score for each ZIP code was created using the final regression model that consisted of 11 factors, six risk factors, and five protective factors. ZIP codes identified with the highest vulnerability ranking (top 10%) were distributed across the state yet focused in the rural southern region. The most populous county, Cook County, had only one vulnerable ZIP code. This analysis reveals more areas vulnerable to future outbreaks compared to past national analyses and provides more precise indications of vulnerability at the ZIP code level. The ability to assess the risk at sub-county level allows local jurisdictions to more finely tune surveillance and preventive measures and target activities in these high-risk areas. The final model contained a mix of protective and risk factors revealing a heightened level of complexity underlying the relationship between characteristics that impact HCV risk. Following this analysis, Illinois prioritized recommendations to include increasing access to harm reduction services, specifically sterile syringe services, naloxone access, infectious disease screening and increased linkage to care for HCV and opioid use disorder.