Association of Medicaid vs Marketplace Eligibility on Maternal Coverage and Access With Prenatal and Postpartum Care

Who is your prenatal care provider? An algorithm to identify the predominant prenatal care provider with claims data

BACKGROUND

Using claims data to identify a predominant prenatal care (PNC) provider is not always straightforward, but it is essential for assessing access, cost, and outcomes. Previous algorithms applied plurality (providing the most visits) and majority (providing majority of visits) to identify the predominant provider in primary care setting, but they lacked visit sequence information. This study proposes an algorithm that includes both PNC frequency and sequence information to identify the predominant provider and estimates the percentage of identified predominant providers. Additionally, differences in travel distances to the predominant and nearest provider are compared.

METHODS

The dataset used for this study consisted of 108,441 live births and 2,155,076 associated South Carolina Medicaid claims from 2015-2018. Analysis focused on patients who were continuously enrolled throughout their pregnancy and had any PNC visit, resulting in 32,609 pregnancies. PNC visits were identified with diagnosis and procedure codes and specialty within the estimated gestational age. To classify PNC providers, seven subgroups were created based on PNC frequency and sequence information. The algorithm was developed by considering both the frequency and sequence information. Percentage of identified predominant providers was reported. Chi-square tests were conducted to assess whether the probability of being identified as a predominant provider for a specific subgroup differed from that of the reference group (who provided majority of all PNC). Paired t-tests were used to examine differences in travel distance.

RESULTS

Pregnancies in the sample had an average of 7.86 PNC visits. Fewer than 30% of the sample had an exclusive provider. By applying PNC frequency information, a predominant provider can be identified for 81% of pregnancies. After adding sequential information, a predominant provider can be identified for 92% of pregnancies. Distance was significantly longer for pregnant individuals traveling to the identified predominant provider (an average of 5 miles) than to the nearest provider.

CONCLUSIONS

Inclusion of PNC sequential information in the algorithm has increased the proportion of identifiable predominant providers by 11%. Applying this algorithm reveals a longer distance for pregnant individuals travelling to their predominant provider than to the nearest provider.

Navigating geographical disparities: access to obstetric hospitals in maternity care deserts and across the United States

BACKGROUND

Access to maternity care in the U.S. remains inequitable, impacting over two million women in maternity care "deserts." Living in these areas, exacerbated by hospital closures and workforce shortages, heightens the risks of pregnancy-related complications, particularly in rural regions. This study investigates travel distances and time to obstetric hospitals, emphasizing disparities faced by those in maternity care deserts and rural areas, while also exploring variances across races and ethnicities.

METHODS

The research adopted a retrospective secondary data analysis, utilizing the American Hospital Association and Centers for Medicaid and Medicare Provider of Services Files to classify obstetric hospitals. The study population included census tract estimates of birthing individuals sourced from the U.S. Census Bureau's 2017-2021 American Community Survey. Using ArcGIS Pro Network Analyst, drive time and distance calculations to the nearest obstetric hospital were conducted. Furthermore, Hot Spot Analysis was employed to identify areas displaying significant spatial clusters of high and low travel distances.

RESULTS

The mean travel distance and time to the nearest obstetric facility was 8.3 miles and 14.1 minutes. The mean travel distance for maternity care deserts and rural counties was 28.1 and 17.3 miles, respectively. While birthing people living in rural maternity care deserts had the highest average travel distance overall (33.4 miles), those living in urban maternity care deserts also experienced inequities in travel distance (25.0 miles). States with hotspots indicating significantly higher travel distances included: Montana, North Dakota, South Dakota, and Nebraska. Census tracts where the predominant race is American Indian/Alaska Native (AIAN) had the highest travel distance and time compared to those of all other predominant races/ethnicities.

CONCLUSIONS

Our study revealed significant disparities in obstetric hospital access, especially affecting birthing individuals in maternity care deserts, rural counties, and communities predominantly composed of AIAN individuals, resulting in extended travel distances and times. To rectify these inequities, sustained investment in the obstetric workforce and implementation of innovative programs are imperative, specifically targeting improved access in maternity care deserts as a priority area within healthcare policy and practice.

Beyond Being Insured: Insurance Coverage Denial as a Major Barrier to Accessing Care During Pregnancy and Postpartum

This study investigates the association between insurance coverage denial and delays in care during pregnancy and postpartum. An online survey was administered in March and April 2022 to women who were either pregnant or within 1 year postpartum (n = 1,113). The outcome was delayed care, measured at four time points: during pregnancy and 1 week, 2 to 6 weeks, and after 7 weeks postpartum. The key covariate was insurance coverage denial by providers during pregnancy. Delayed care due to having an unaccepted insurance and being "out-of-network" was more pronounced at 1 week postpartum with 3.37 times and 3.47 times greater odds and in 2 to 6 weeks postpartum with 5.74 times and 2.97 times greater odds, respectively. The association between insurance denial and delays in care encapsulated transportation, rural residency, time issues, and financial constraints. The findings suggest that coverage denial is associated with significant delays in care, providing practical implications for effective perinatal care.

Association of Medicaid Expansion Under the Affordable Care Act With Medicaid Coverage in the Prepregnancy, Prenatal, and Postpartum Periods

INTRODUCTION

We evaluated how the Affordable Care Act (ACA) Medicaid eligibility expansion affected perinatal insurance coverage patterns for Medicaid-enrolled beneficiaries who gave birth overall and by race/ethnicity. We also examined state-level heterogeneous impacts.

METHODS

Using the 2011-2013 Medicaid Analytic eXtract and the 2016-2018 Transformed Medicaid Statistical Information System Analytic File databases, we identified 1.4 million beneficiaries giving birth in 2012 (pre-ACA expansion cohort) and 1.5 million in 2017 (post-ACA expansion cohort). We constructed monthly coverage rates for the two cohorts by state Medicaid expansion status and obtained difference-in-differences estimates of the association of Medicaid expansion with coverage overall and by race/ethnicity group (non-Hispanic White, non-Hispanic Black, and Hispanic). To explore state-level heterogeneous impacts, we divided the expansion and non-expansion states into groups based on the differences in the income eligibility limits for low-income parents in each state between 2012 and 2017.

RESULTS

Medicaid expansion was associated with 13 percentage points higher coverage in the 9 to 12 months before giving birth, and 11 percentage points higher coverage at 6 to 12 months postpartum. Hispanic birthing individuals had the greatest relative increases in coverage, followed by non-Hispanic White and non-Hispanic Black individuals. In Medicaid expansion states, those who experienced the greatest increases in income eligibility limits for low-income parents generally saw the greatest increases in coverage. In non-expansion states, there was less heterogeneity between state groupings.

CONCLUSIONS

Pregnancy-related Medicaid eligibility did not have major changes in the 2010s. However, states' adoption of ACA Medicaid expansion after 2012 was associated with increased Medicaid coverage before, during, and after pregnancy. The increases varied by race/ethnicity and across states.

Postpartum Medicaid coverage and outpatient care utilization among low-income birthing individuals in Oregon: impact of Medicaid expansion

Objective

This study examined the effect of Medicaid expansion in Oregon on duration of Medicaid enrollment and outpatient care utilization for low-income individuals during the postpartum period.

Methods

We linked Oregon birth certificates, Medicaid enrollment files, and claims to identify postpartum individuals (N = 73,669) who gave birth between 2011 and 2015. We created one pre-Medicaid expansion (2011-2012) and two post-expansion (2014-2015) cohorts (i.e., previously covered and newly covered by Medicaid). We used ordinary least squares and negative binomial regression models to examine changes in postpartum coverage duration and number of outpatient visits within a year of delivery for the post-expansion cohorts compared to the pre-expansion cohort. We examined monthly and overall changes in outpatient utilization during 0-2 months, 3-6 months, and 7-12 months after delivery.

Results

Postpartum coverage duration increased by 3.14 months and 2.78 months for the post-Medicaid expansion previously enrolled and newly enrolled cohorts (p < 0.001), respectively. Overall outpatient care utilization increased by 0.06, 0.19, and 0.34 visits per person for the previously covered cohort and 0.12, 0.13, and 0.26 visits per person for newly covered cohort during 0-2 months, 3-6 months, and 7-12 months, respectively. Monthly change in utilization increased by 0.006 (0-2 months) and 0.004 (3-6 months) visits per person for post-Medicaid previously enrolled cohort and decreased by 0.003 (0-2 months) and 0.02 (7-12 months) visits per person among newly enrolled cohort.

Conclusion

Medicaid expansion increased insurance coverage duration and outpatient care utilization during postpartum period in Oregon, potentially contributing to reductions in pregnancy-related mortality and morbidities among birthing individuals.

Late Postpartum Coverage Loss Before COVID-19: Implications For Medicaid Unwinding

Using unique Pregnancy Risk Assessment Monitoring System follow-up data from before the COVID-19 pandemic, we found that only 68 percent of prenatal Medicaid enrollees maintained continuous Medicaid coverage through nine or ten months postpartum. Of the prenatal Medicaid enrollees who lost coverage in the early postpartum period, two-thirds remained uninsured nine to ten months postpartum. State postpartum Medicaid extensions could prevent a return to prepandemic rates of postpartum coverage loss.

Sociodemographic Factors Affecting Loss to Follow-Up After Newborn Hearing Screening: A Systematic Review and Meta-Analysis

OBJECTIVE

Universal newborn hearing screening (NBHS) has been widely implemented as a part of early hearing detection and intervention (EHDI) programs worldwide. Even with excellent provider knowledge and screening rates, many infants do not receive definitive hearing testing or intervention after initial screening. The objective of this study was to identify sociodemographic factors contributing to loss of follow-up.

DATA SOURCES

PubMed, Scopus, and CINAHL.

REVIEW METHODS

Per Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines, the databases were searched from the date of inception through December 28, 2021. Studies containing sociodemographic information on patients who were referred to NBHS were included. Meta-analysis of odds ratios (ORs) was performed comparing rates of sociodemographic variables between patients adherent and nonadherent to follow-up.

RESULTS

A total of 169,238 infants from 19 studies were included. Low birth weight (OR 1.6 [95% confidence interval, CI 1.2-2.2, p < .001), racial minority (OR 1.4 [95% CI 1.2-1.6], p < .001), rural residence (OR 1.5 [95% CI 1.1-1.9], p = .005), lack of insurance (OR 1 [95% CI 1.4-2.5], p < .001), and public or state insurance (OR 1.7 [95% CI 1.2-4.2], p = .008) were associated with missed follow-up after referred NBHS. Associated maternal factors included low maternal education (OR 1.8 [95% CI 1.6-2.0], p < .001), young maternal age (OR 1.5 [95% CI 1.5-1.6], p < .001), unmarried maternal status (OR 1.5 [95% CI 1.1-1.9], p = .003), and current or former maternal smoking status (OR 1.8 [95% CI 1.4-2.2], p < .001).

CONCLUSION

Both infant and maternal sociodemographic factors influence follow-up compliance after referred NBHS. Focused efforts should be made by medical providers and policymakers to address these factors to ensure appropriate newborn hearing care and interventions are achieved.

Health Insurance Coverage and Postpartum Outcomes in the US: A Systematic Review

Importance

Approximately half of postpartum individuals in the US do not receive any routine postpartum health care. Currently, federal Medicaid coverage for pregnant individuals lapses after the last day of the month in which the 60th postpartum day occurs, which limits longer-term postpartum care.

Objective

To assess whether health insurance coverage extension or improvements in access to health care are associated with postpartum health care utilization and maternal outcomes within 1 year post partum.

Evidence Review

Medline, Embase, CENTRAL, CINAHL, and ClinicalTrials.gov were searched for US-based studies from inception to November 16, 2022. The reference lists of relevant systematic reviews were scanned for potentially eligible studies. Risk of bias was assessed using questions from the Cochrane Risk of Bias tool and the Risk of Bias in Nonrandomized Studies of Interventions tool. Strength of evidence (SoE) was assessed using the Agency for Healthcare Research and Quality Methods Guide.

Findings

A total of 25 973 citations were screened and 28 mostly moderate-risk-of-bias nonrandomized studies were included (3 423 781 participants) that addressed insurance type (4 studies), policy changes that made insurance more comprehensive (13 studies), policy changes that made insurance less comprehensive (2 studies), and Medicaid expansion (9 studies). Findings with moderate SoE suggested that more comprehensive association was likely associated with greater attendance at postpartum visits. Findings with low SoE indicated a possible association between more comprehensive insurance and fewer preventable readmissions and emergency department visits.

Conclusions and Relevance

The findings of this systematic review suggest that evidence evaluating insurance coverage and postpartum visit attendance and unplanned care utilization is, at best, of moderate SoE. Future research should evaluate clinical outcomes associated with more comprehensive insurance coverage.

Postpartum Medicaid Eligibility Expansions and Postpartum Health Measures

Maternal mortality and morbidity in the United States are high compared with those in similar countries, and racial/ethnic disparities exist, with many of these events occurring in the later postpartum period. Proposed federal and recently enacted state policy interventions extend pregnancy Medicaid from covering 60 days to a full year postpartum. This study estimates the association between maintaining Medicaid eligibility in the later postpartum period (relative to only having pregnancy Medicaid eligibility) with postpartum checkup attendance and depressive symptoms using regression analysis, overall and stratified by race/ethnicity. People with postpartum Medicaid eligibility were 1.0%-1.4% more likely to attend a postpartum checkup relative to those with only pregnancy Medicaid eligibility overall, primarily driven by a 3.8%-4.0% higher likelihood among Hispanic postpartum people. Conversely, postpartum Medicaid is associated with a 2.2%-2.3% lower likelihood of postpartum checkup attendance for Black postpartum people. Postpartum eligibility is also associated with a 9.7%-11.6% lower likelihood of self-reported depressive symptoms compared with only pregnancy Medicaid eligibility for White postpartum people only. Postpartum Medicaid eligibility is associated with some improvements in maternal health care utilization and mental health, but differences by race and ethnicity imply that inequitable systems and structures that cannot be overcome by insurance alone may also play an important role in postpartum health.

Association of New York State's Marketplace Special Enrollment Period for Pregnancy With Prenatal Insurance Coverage

This cross-sectional study uses Pregnancy Risk Assessment Monitoring System data to investigate the association between marketplace pregnancy special enrollment and prenatal insurance coverage in New York.

Presumptive eligibility for pregnancy Medicaid and timely prenatal care access

OBJECTIVE

To assess the association between the adoption of presumptive eligibility for pregnancy Medicaid in Kansas in 2016 and timely prenatal care access.

DATA SOURCE

2012-2019 National Center for Health Statistics natality files.

STUDY DESIGN

We used difference-in-differences to compare outcomes before (2012-2015) and after (2017-2019) presumptive eligibility in Kansas relative to seven control group states overall and stratified by maternal education. Outcomes included first-trimester prenatal care, the month of first prenatal visit, and adequate prenatal care.

DATA COLLECTION/EXTRACTION METHODS

All live births among adults aged 20 or older in Kansas, Idaho, Missouri, Nebraska, Tennessee, Utah, Wisconsin, and Wyoming.

PRINCIPAL FINDINGS

Among all births, we found no evidence that presumptive eligibility in Kansas resulted in changes in prenatal care use. Among individuals with high school education or less, presumptive eligibility was associated with a 1.92 percentage-point increase (95% CI: 0.64, 4.35) in first-trimester prenatal care, driven by earlier month of first prenatal care visit.

CONCLUSIONS

Presumptive eligibility in Medicaid non-expansion states may lead to small improvements in early prenatal care among individuals with lower education, but other interventions may be needed.