Introduction: Insurance churn (changes in coverage) after childbirth is common in the United States, particularly in states that have not expanded Medicaid coverage. Although insurance churn may have lasting consequences for health care access, most research has focused on the initial weeks after a birth.
Methods: We analyzed data from a cohort study of postpartum Texans with pregnancies covered by public insurance (n = 1,489). Women were recruited shortly after childbirth from eight hospitals in six cities, completing a baseline survey in the hospital and follow-up surveys at 3, 6, and 12 months. We assessed insurance trajectories, health care use, and health indicators over the 12 months after childbirth. We also conducted a content analysis of women's descriptions of postpartum health concerns.
Results: A majority of participants (64%) became uninsured within 3 months of the birth and remained uninsured for the duration of the study; 88% were uninsured at some point in the year after the birth. At 3 months postpartum, 17% rated their health as fair or poor, and 13% reported a negative change in their health after the 3-month survey. Women's open-ended responses described financial hardships and other difficulties accessing care for postpartum health issues, which included acute and ongoing conditions, undiagnosed concerns, pregnancy and reproductive health, mental health, and weight/lifestyle concerns.
Conclusions: Insurance churn was common among postpartum women with births covered by Medicaid/CHIP and prevented many women from receiving health care. To improve postpartum health and reduce maternal mortality and morbidity, states should work to stabilize insurance coverage for women with low incomes.
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http://dx.doi.org/10.1016/j.whi.2021.11.002 | DOI Listing |
Sci Rep
December 2024
College of Computer Science and Engineering, Guangxi Normal University, Guilin, 541000, China.
In today's competitive market environment, accurately identifying potential churn customers and taking effective retention measures are crucial for improving customer retention and ensuring the sustainable development of an organization. However, traditional machine learning algorithms and single deep learning models have limitations in extracting complex nonlinear and time-series features, resulting in unsatisfactory prediction results. To address this problem, this study proposes a hybrid neural network-based customer churn prediction model, CCP-Net.
View Article and Find Full Text PDFAm J Manag Care
December 2024
University of Minnesota, 729 MMC, Minneapolis, MN 55419. Email:
Objectives: To explain key challenges to evaluating Center for Medicare and Medicaid Innovation (CMMI) accountable care organization (ACO) models and ways to address those challenges.
Study Design: We enumerate the challenges, beginning with the conception of the alternative payment model and extending through the decision to scale up the model should the initial evaluation suggest that the model is successful. The challenges include churn at the provider and ACO levels, beneficiary leakage and spillover, participation in prior payment models, and determinants of shared savings and penalties.
Womens Health Issues
November 2024
University of Minnesota School of Public Health, Minneapolis, Minnesota.
Background: American Indian and Alaska Native (AI/AN) people in the United States face elevated childbirth-related risks when compared with non-Hispanic white people. Access to health care is a treaty right of many AI/AN people, often facilitated through the Indian Health Service (IHS), but many AI/AN people do not qualify for or cannot access IHS care and rely on health insurance coverage to access care in other facilities. Our goal was to describe health insurance coverage and access to IHS care before, during, and after childbirth for AI/AN birthing people in the United States.
View Article and Find Full Text PDFCancer
January 2025
Department of Surveillance and Health Equity Science, American Cancer Society, Atlanta, Georgia, USA.
Background: Health insurance coverage is critical for ensuring access to recommended health care in the United States. This study investigated the associations of health insurance coverage disruptions, also known as coverage churn, and receipt of breast and colorectal cancer screening.
Methods: Adults who were age-eligible and younger than 65 years (range, 50-64 years) for breast (n = 17,128 women) and colorectal (n = 32,562 individuals) cancer screening were identified from 5 years of the National Health Interview Survey.
Background: Advanced primary care models are key in moving primary care practices toward greater accountability for the quality and cost of a beneficiary's care. One critical but often overlooked detail in model design is the beneficiary attribution methodology. Attribution results are key inputs in calculating practice payments.
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