Patient- and Provider-Level Factors Associated with Patient Portal Usage Among Medicaid Recipients.

Background: Patient portals can improve access to electronic health information and enhance patient engagement. However, disparities in patient portal utilization remain, affecting disadvantaged communities disproportionately. This study examined patient- and provider-level factors associated with portal usage among Medicaid recipients in a large federally qualified health center (FQHC) network in Texas. Methods: Deidentified electronic medical records of patients 18 years or older from a large Texas FQHC network were analyzed. The dependent variable was a binary flag indicating portal usage during the study period. Independent variables included patient- and provider-level factors. Patient-level factors included sociodemographic, geographic, and clinical characteristics. Provider characteristics included primary service line, provider type, provider language, and years in practice. Because the analysis was at the individual level, a multivariable logistic regression model focused on adjusted associations between independent variables and portal usage. Results: The analytic sample consisted of 9,271 individuals. Compared with individuals 18-39 years, patients 50 years and older had lower odds (50-64 OR: 0.60, p < 0.001; 65+ OR: 0.51, p < 0.001) of portal usage. Males were less likely to use portals (OR: 0.44, p = 0.03), and compared to Non-Hispanic Whites, Non-Hispanic Black (OR: 0.86, p = 0.02) and Hispanics (OR: 0.83, p < 0.001) were significantly less likely to use portals. Individuals with 1 or more telemedicine consults had a two-times greater odds of portal usage (OR: 1.97, p < 0.001). Compared to individuals who had clinic visits in December 2018, portal usage was significantly higher in the pandemic months (March 2020-November 2020, all p's < 0.01). Importantly, the behavioral health service line had the greatest odds (OR: 1.52, p < 0.001), whereas the dental service line had the lowest odds (OR: 0.69, p = 0.01) compared to family practice. No other provider characteristics were significant. Conclusion: Our finding of significant patient-level factors is important and can contribute to developing appropriate patient-focused health information technology approaches to ensure equitable access and maximize the potential benefits of patient portals in health care delivery.

Diabetes in pregnancy and risk of near-miss, maternal mortality and foetal outcomes in the USA: a retrospective cross-sectional analysis.

BACKGROUND: The prevalence of diabetes in pregnant women has increased in the USA over recent decades. The primary aim of this study was to assess the association between diabetes in pregnancy and maternal near-miss incident, maternal mortality and selected adverse foetal outcomes. METHODS: We conducted a retrospective, cross-sectional analysis among pregnancy-related hospitalizations in USA between 2002 and 2014. We examined the association between DM and GDM as exposures and maternal in-hospital mortality, maternal cardiac arrest, early onset of delivery, poor foetal growth and stillbirth as the outcome variables. RESULTS: Among the 57.3 million pregnant women in the study population, the prevalence of GDM and DM was 5.4 and 1.3%, respectively. We found that pregnant women with DM were three times more likely to experience cardiac arrest (OR = 3.21; 95% CI = 2.57-4.01) and in-hospital maternal death (OR = 3.05; 95% CI = 2.45-3.79), as compared to those without DM. Among pregnant women with GDM and DM, the risk for early onset of delivery was higher, compared to women without GDM or DM. CONCLUSION: A diagnosis of diabetes prior to pregnancy contributes significantly to the risk of maternal cardiac arrest, maternal mortality and adverse foetal outcomes.