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Objectives. To identify the association between Medicaid eligibility expansion and medical debt. Methods. We used difference-in-differences design to compare changes in medical debt for those gaining coverage through Louisiana’s Medicaid expansion with those in nonexpansion states. We matched individuals gaining Medicaid coverage because of Louisiana’s Medicaid expansion (n = 196 556) to credit report data on medical debt and compared them with randomly selected credit reports of those living in Southern nonexpansion state zip codes with high rates of uninsurance (n = 973 674). The study spanned July 2014 through July 2019. Results. One year after Louisiana Medicaid expansion, medical collections briefly rose before declining by 8.1 percentage points (95% confidence interval [CI] = –0.107, –0.055; P ≤ .001), or 13.5%, by the third postexpansion year. Balances also briefly rose before falling by 0.621 log points (95% CI = –0.817, –0.426; P ≤ .001), or 46.3%. Conclusions. Louisiana’s Medicaid expansion was associated with a reduction in the medical debt load for those gaining coverage. These results suggest that future Medicaid eligibility expansions may be associated with similar improvements in the financial well-being of enrollees.

Efforts to reduce the ranks of the uninsured hinge on take-up of available programs and subsidies, but take-up of even free insurance is often less than complete. The evidence of the effectiveness of policies aiming to increase take-up is limited. We used a randomized controlled design to evaluate the impact of improved communication and behaviorally informed ?nudges? designed to increase Medicaid take-up among eligible populations. Fielding randomized interventions in two different study populations in Oregon, we found that even very low-cost interventions substantially increased enrollment. Effects were larger in a population whose members had already expressed interest in obtaining coverage, but the effects were more persistent in low-income populations whose members were already enrolled in other state assistance programs but had not expressed interest in health insurance. The effects were similar across different demographic groups. Our results suggest that improving the design of enrollment processes and using low-cost mass-outreach efforts have the potential to substantially increase insurance coverage of vulnerable populations.

Health systems are increasingly assessing and addressing social needs with referrals to community resources. The objective of this randomized controlled trial was to randomize adult Medicaid members with type 2 diabetes to receive usual care (n = 239) or social needs navigation (n = 234) for 6 months and compare HbA1c (primary outcome), quality of life (secondary outcome), and other exploratory outcomes with t-tests and mixed-effects regression. Eligible participants had an HbA1c test in claims in the past 120 days and reported 1+ social needs. Data were collected from November 2019 to July 2023. Surveys were completed at baseline and at 3-, 6-, and 12-month follow-up. Health plan data included care management records and medical and pharmacy claims. The sample was from Louisiana, USA, M = 51.6 (SD = 9.5) years old, 76.1% female, 66.5% Black, 29.4% White, and 3.0% Hispanic. By design, more navigation (91.5%) vs. usual care (6.7%) participants had a care plan. Social needs persisted for both groups. No group differences in HbA1c tests and values were observed, though the large amount of missing HbA1c lab values reduced statistical power. No group differences were observed for other outcomes. Proactively eliciting and attempting to provide referrals and resources for social needs did not demonstrate significant health benefits or decrease healthcare utilization in this sample.

Objectives. We determined whether public funding for contraception was associated with long-acting reversible contraceptive (LARC) use when providers received training on these methods. Methods. We evaluated the impact of a clinic training intervention and public funding on LARC use in a cluster randomized trial at 40 randomly assigned clinics across the United States (2011–2013). Twenty intervention clinics received a 4-hour training. Women aged 18 to 25 were enrolled and followed for 1 year (n = 1500: 802 intervention, 698 control). We estimated the effects of the intervention and funding sources on LARC initiation with Cox proportional hazards models with shared frailty. Results. Women at intervention sites had higher LARC initiation than those at control (22 vs 18 per 100 person-years; adjusted hazard ratio [AHR] = 1.43; 95% confidence interval [CI] = 1.04, 1.98). Participants receiving care at clinics with Medicaid family planning expansion programs had almost twice the initiation rate as those at clinics without (25 vs 13 per 100 person-years; AHR = 2.26; 95% CI = 1.59, 3.19). LARC initiation also increased among participants with public (AHR = 1.56; 95% CI = 1.09, 2.22) but not private health insurance. Conclusions. Public funding and provider training substantially improve LARC access.

This pilot randomized clinical trial evaluates the increased uptake and acceptability of a text-based model for home blood pressure monitoring compared with online portal use among Black patients with Medicaid and Medicare insurance who have hypertension and cardiovascular disease.

Background Children with health insurance have increased access to healthcare and receive higher quality care. However, despite recent initiatives expanding children’s coverage, many remain uninsured. New technologies present opportunities for helping clinics provide enrollment support for patients. We developed and tested electronic health record (EHR)-based tools to help clinics provide children’s insurance assistance. Methods We used mixed methods to understand tool adoption, and to assess impact of tool use on insurance coverage, healthcare utilization, and receipt of recommended care. We conducted intent-to-treat (ITT) analyses comparing pediatric patients in 4 intervention clinics ( n  = 15,024) to those at 4 matched control clinics ( n  = 12,227). We conducted effect-of-treatment-on-the-treated (ETOT) analyses comparing intervention clinic patients with tool use ( n  = 2240) to intervention clinic patients without tool use (n = 12,784). Results Tools were used for only 15% of eligible patients. Qualitative data indicated that tool adoption was limited by: (1) concurrent initiatives that duplicated the work associated with the tools, and (2) inability to obtain accurate insurance coverage data and end dates. The ITT analyses showed that intervention clinic patients had higher odds of gaining insurance coverage (adjusted odds ratio [aOR] = 1.32, 95% confidence interval [95%CI] 1.14–1.51) and lower odds of losing coverage (aOR = 0.77, 95%CI 0.68–0.88), compared to control clinic patients. Similarly, ETOT findings showed that intervention clinic patients with tool use had higher odds of gaining insurance (aOR = 1.83, 95%CI 1.64–2.04) and lower odds of losing coverage (aOR = 0.70, 95%CI 0.53–0.91), compared to patients without tool use. The ETOT analyses also showed higher rates of receipt of return visits, well-child visits, and several immunizations among patients for whom the tools were used. Conclusions This pragmatic trial, the first to evaluate EHR-based insurance assistance tools, suggests that it is feasible to create and implement tools that help clinics provide insurance enrollment support to pediatric patients. While ITT findings were limited by low rates of tool use, ITT and ETOT findings suggest tool use was associated with better odds of gaining and keeping coverage. Further, ETOT findings suggest that use of such tools may positively impact healthcare utilization and quality of pediatric care. Trial registration ClinicalTrials.gov, NCT02298361 ; retrospectively registered on November 5, 2014.

BACKGROUND:Arkansas and Iowa received waivers from the federal government in 2014 to use federal Medicaid expansion funding to enroll beneficiaries in commercial insurance plans on the Marketplaces. One key hypothesis of these “private option” or “premium assistance” programs was that Medicaid beneficiaries would experience increased access to care. In this study, we compare new patient primary care appointment availability and wait-times for beneficiaries of traditional Medicaid and premium assistance Medicaid. METHODS:Trained field staff posing as patients, randomized to traditional Medicaid or Marketplace plans, called primary care practices seeking new patient appointments in Arkansas and Iowa in May to July 2014. All calls were made to offices that previously indicated being in-network for the plan. Offices were drawn randomly, within insurance type, based on the county proportion of the population with each insurance type. We calculated appointment rates and wait-times for new patients for traditional Medicaid and Marketplace plans. RESULTS:In Arkansas, Marketplace appointment rates were 27.2 percentage points higher than traditional Medicaid appointment rates (83.2% compared with 55.5%, P<0.001), while in Iowa, Marketplace appointment rates were 12.0 percentage points higher (86.3% compared with 74.3%, P<0.001). Conditional on receiving an appointment, median wait-times were roughly 1 week in each state without significant differences by insurance type. CONCLUSIONS:The experiences of Arkansas and Iowa suggest that enrolling Medicaid beneficiaries into Marketplace plans may lead to higher primary care appointment availability for new patients at participating providers. Further research is needed on whether premium assistance programs affect quality and continuity of care, and at what cost.

The HIV epidemic in the USA began as a bicoastal epidemic focused in large cities but, over nearly four decades, the epidemiology of HIV has changed. Public health surveillance data can inform an understanding of the evolution of the HIV epidemic in terms of the populations and geographical areas most affected. We analysed publicly available HIV surveillance data and census data to describe: current HIV prevalence and new HIV diagnoses by region, race or ethnicity, and age; trends in HIV diagnoses over time by HIV acquisition risk and age; and the distribution of HIV prevalence by geographical area. We reviewed published literature to explore the reasons for the current distribution of HIV cases and important disparities in HIV prevalence. We identified opportunities to improve public health surveillance systems and uses of data for planning and monitoring public health responses. The current US HIV epidemic is marked by geographical concentration in the US South and profound disparities between regions and by race or ethnicity. Rural areas vary in HIV prevalence; rural areas in the South are more likely to have a high HIV prevalence than rural areas in other US Census regions. Ongoing disparities in HIV in the South are probably driven by the restricted expansion of Medicaid, health-care provider shortages, low health literacy, and HIV stigma. HIV diagnoses overall declined in 2009–18, but HIV diagnoses among individuals aged 25–34 years increased during the same period. HIV diagnoses decreased for all risk groups in 2009–18; among men who have sex with men (MSM), new diagnoses decreased overall and for White MSM, remained stable for Black MSM, and increased for Hispanic or Latino MSM. Surveillance data indicate profound and ongoing disparities in HIV cases, with disproportionate impact among people in the South, racial or ethnic minorities, and MSM.

BACKGROUND:The Hospital Readmission Reduction Program (HRRP) disproportionately penalizes hospitals serving minority communities. The National Academy of Science, Engineering, and Medicine has recommended that the Centers for Medicare and Medicaid Services (CMS) consider adjusting for social risk factors in their risk adjustment methodology. This study examines the association between the racial and ethnic composition of a hospital market and the impact of other social risk factors on the probability of a hospital being penalized under the HRRP. RESEARCH METHODS AND DATA:This study analyzes data from CMS, the American Hospital Association, and the American Community Survey for 3168 hospitals from 2013 to 2017. We used logistic regression models to estimate the association between the penalty status under HRRP and the racial and ethnic composition of a hospital market, and explored whether this association was moderated by other social risk factors. RESULTS:Our results indicate that the probability of being penalized increases with the percentage of black and Asian residents in the hospital service area (HSA) and decreased with the percentage of Hispanic residents in the HSA. This association was reduced and became statistically insignificant when we controlled for other social risk factors. The strongest predictors of penalty status were the hospital’s share of Medicaid patients and the percent of persons without a high school diploma in the HSA. CONCLUSIONS:By incorporating relevant social risk factors in the reimbursement methodology, CMS could mitigate the negative effects of HRRP on hospitals serving minority communities.

Objectives. To document how health insurance coverage changed for White, Black, and Hispanic adults after the Affordable Care Act (ACA) went into effect. Methods. We used data from the American Community Survey from 2008 to 2014 to examine changes in the percentage of nonelderly adults who were uninsured, covered by Medicaid, or covered by private health insurance. In addition to presenting overall trends by race/ethnicity, we stratified the analysis by income group and state Medicaid expansion status. Results. In 2013, 40.5% of Hispanics and 25.8% of Blacks were uninsured, compared with 14.8% of Whites. We found a larger gap in private insurance, which was partially offset by higher rates of public coverage among Blacks and Hispanics. After the main ACA provisions went into effect in 2014, coverage disparities declined slightly as the percentage of adults who were uninsured decreased by 7.1 percentage points for Hispanics, 5.1 percentage points for Blacks, and 3 percentage points for Whites. Coverage gains were greater in states that expanded Medicaid programs. Conclusions. The ACA has reduced racial/ethnic disparities in coverage, although substantial disparities remain. Further increases in coverage will require Medicaid expansion by more states and improved program take-up in states that have already done so.