Pub Date : 2024-06-01Epub Date: 2024-01-29DOI: 10.1177/10775587231222584
Richard C van Kleef, Mieke Reuser, Thomas G McGuire, John Armstrong, Konstantin Beck, Shuli Brammli-Greenberg, Randall P Ellis, Francesco Paolucci, Erik Schokkaert, Juergen Wasem
In health insurance markets with regulated competition, regulators face the challenge of preventing risk selection. This paper provides a framework for analyzing the scope (i.e., potential actions by insurers and consumers) and incentives for risk selection in such markets. Our approach consists of three steps. First, we describe four types of risk selection: (a) selection by consumers in and out of the market, (b) selection by consumers between high- and low-value plans, (c) selection by insurers via plan design, and (d) selection by insurers via other channels such as marketing, customer service, and supplementary insurance. In a second step, we develop a conceptual framework of how regulation and features of health insurance markets affect the scope and incentives for risk selection along these four dimensions. In a third step, we use this framework to compare nine health insurance markets with regulated competition in Australia, Europe, Israel, and the United States.
{"title":"Scope and Incentives for Risk Selection in Health Insurance Markets With Regulated Competition: A Conceptual Framework and International Comparison.","authors":"Richard C van Kleef, Mieke Reuser, Thomas G McGuire, John Armstrong, Konstantin Beck, Shuli Brammli-Greenberg, Randall P Ellis, Francesco Paolucci, Erik Schokkaert, Juergen Wasem","doi":"10.1177/10775587231222584","DOIUrl":"10.1177/10775587231222584","url":null,"abstract":"<p><p>In health insurance markets with regulated competition, regulators face the challenge of preventing risk selection. This paper provides a framework for analyzing the scope (i.e., potential actions by insurers and consumers) and incentives for risk selection in such markets. Our approach consists of three steps. First, we describe four types of risk selection: (a) selection by consumers in and out of the market, (b) selection by consumers between high- and low-value plans, (c) selection by insurers via plan design, and (d) selection by insurers via other channels such as marketing, customer service, and supplementary insurance. In a second step, we develop a conceptual framework of how regulation and features of health insurance markets affect the scope and incentives for risk selection along these four dimensions. In a third step, we use this framework to compare nine health insurance markets with regulated competition in Australia, Europe, Israel, and the United States.</p>","PeriodicalId":51127,"journal":{"name":"Medical Care Research and Review","volume":" ","pages":"175-194"},"PeriodicalIF":2.5,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11092299/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139571034","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-05-06DOI: 10.1177/10775587241247682
Alexandra Harris, Sarah Philbin, Brady Post, Neil Jordan, Molly Beestrum, Richard Epstein, Megan McHugh
Vertical integration of health systems-the common ownership of different aspects of the health care system-continues to occur at increasing rates in the United States. This systematic review synthesizes recent evidence examining the association between two types of vertical integration-hospital-physician (n = 43 studies) and hospital-post-acute care (PAC; n = 10 studies)-and cost, quality, and health services utilization. Hospital-physician integration is associated with higher health care costs, but the effect on quality and health services utilization remains unclear. The effect of hospital-PAC integration on these three outcomes is ambiguous, particularly when focusing on hospital-SNF integration. These findings should raise some concern among policymakers about the trajectory of affordable, high-quality health care in the presence of increasing hospital-physician vertical integration but perhaps not hospital-PAC integration.
{"title":"Cost, Quality, and Utilization After Hospital-Physician and Hospital-Post Acute Care Vertical Integration: A Systematic Review.","authors":"Alexandra Harris, Sarah Philbin, Brady Post, Neil Jordan, Molly Beestrum, Richard Epstein, Megan McHugh","doi":"10.1177/10775587241247682","DOIUrl":"https://doi.org/10.1177/10775587241247682","url":null,"abstract":"<p><p>Vertical integration of health systems-the common ownership of different aspects of the health care system-continues to occur at increasing rates in the United States. This systematic review synthesizes recent evidence examining the association between two types of vertical integration-hospital-physician (<i>n</i> = 43 studies) and hospital-post-acute care (PAC; <i>n</i> = 10 studies)-and cost, quality, and health services utilization. Hospital-physician integration is associated with higher health care costs, but the effect on quality and health services utilization remains unclear. The effect of hospital-PAC integration on these three outcomes is ambiguous, particularly when focusing on hospital-SNF integration. These findings should raise some concern among policymakers about the trajectory of affordable, high-quality health care in the presence of increasing hospital-physician vertical integration but perhaps not hospital-PAC integration.</p>","PeriodicalId":51127,"journal":{"name":"Medical Care Research and Review","volume":" ","pages":"10775587241247682"},"PeriodicalIF":2.5,"publicationDate":"2024-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140858885","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-04-29DOI: 10.1177/10775587241245200
{"title":"Corrigendum to “Coding Intensity through Health Risk Assessments and Chart Reviews in Medicare Advantage: Does It Explain Resource Use?”","authors":"","doi":"10.1177/10775587241245200","DOIUrl":"https://doi.org/10.1177/10775587241245200","url":null,"abstract":"","PeriodicalId":51127,"journal":{"name":"Medical Care Research and Review","volume":"26 1","pages":""},"PeriodicalIF":2.5,"publicationDate":"2024-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140842384","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-04-15DOI: 10.1177/10775587241241984
Julie Holm, José A. Pagán, Diana Silver
Most of the evidence regarding the success of ACOs is from the Medicare program. This review evaluates the impacts of ACOs within the Medicaid population. We identified 32 relevant studies published between 2012 and 2023 which analyzed the association of Medicaid ACOs and health care utilization ( n = 21), quality measures ( n = 18), health outcomes ( n = 10), and cost reduction ( n = 3). The results of our review regarding the effectiveness of Medicaid ACOs are mixed. Significant improvements included increased primary care visits, reduced admissions, and reduced inpatient stays. Cost reductions were reported in a few studies, and savings were largely dependent on length of attribution and years elapsed after ACO implementation. Adopting the ACO model for the Medicaid population brings some different challenges from those with the Medicare population, which may limit its success, particularly given differences in state Medicaid programs.
{"title":"The Impact of Medicaid Accountable Care Organizations on Health Care Utilization, Quality Measures, Health Outcomes and Costs from 2012 to 2023: A Scoping Review","authors":"Julie Holm, José A. Pagán, Diana Silver","doi":"10.1177/10775587241241984","DOIUrl":"https://doi.org/10.1177/10775587241241984","url":null,"abstract":"Most of the evidence regarding the success of ACOs is from the Medicare program. This review evaluates the impacts of ACOs within the Medicaid population. We identified 32 relevant studies published between 2012 and 2023 which analyzed the association of Medicaid ACOs and health care utilization ( n = 21), quality measures ( n = 18), health outcomes ( n = 10), and cost reduction ( n = 3). The results of our review regarding the effectiveness of Medicaid ACOs are mixed. Significant improvements included increased primary care visits, reduced admissions, and reduced inpatient stays. Cost reductions were reported in a few studies, and savings were largely dependent on length of attribution and years elapsed after ACO implementation. Adopting the ACO model for the Medicaid population brings some different challenges from those with the Medicare population, which may limit its success, particularly given differences in state Medicaid programs.","PeriodicalId":51127,"journal":{"name":"Medical Care Research and Review","volume":"43 1","pages":""},"PeriodicalIF":2.5,"publicationDate":"2024-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140570348","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-04-05DOI: 10.1177/10775587241241975
Jeffrey Marr, Daniel Polsky, Mark K. Meiselbach
Over 70% of Medicaid beneficiaries are enrolled in Medicaid managed care (MMC). MMC provider networks therefore represent a critical determinant of access to the Medicaid program. Many MMC insurers also participate in commercial insurance markets where prices are high, and some insurers exercise considerable market power. In this paper, we examined the relationship between commercial insurer market power and MMC physician network breadth using linked national enrollment data and provider directory data. Insurers with more commercial market power had broader Medicaid physician networks. Insurers with over 30% market share had 37.3% broader Medicaid networks than insurers in the same county that had no commercial market share. These differences were driven by greater breadth among primary care providers, as well as other specialists including OB/GYNs, surgeons, neurologists, and cardiologists. Commercial insurance market power may have spillovers on access to care for MMC beneficiaries.
{"title":"Commercial Insurer Market Power and Medicaid Managed Care Networks","authors":"Jeffrey Marr, Daniel Polsky, Mark K. Meiselbach","doi":"10.1177/10775587241241975","DOIUrl":"https://doi.org/10.1177/10775587241241975","url":null,"abstract":"Over 70% of Medicaid beneficiaries are enrolled in Medicaid managed care (MMC). MMC provider networks therefore represent a critical determinant of access to the Medicaid program. Many MMC insurers also participate in commercial insurance markets where prices are high, and some insurers exercise considerable market power. In this paper, we examined the relationship between commercial insurer market power and MMC physician network breadth using linked national enrollment data and provider directory data. Insurers with more commercial market power had broader Medicaid physician networks. Insurers with over 30% market share had 37.3% broader Medicaid networks than insurers in the same county that had no commercial market share. These differences were driven by greater breadth among primary care providers, as well as other specialists including OB/GYNs, surgeons, neurologists, and cardiologists. Commercial insurance market power may have spillovers on access to care for MMC beneficiaries.","PeriodicalId":51127,"journal":{"name":"Medical Care Research and Review","volume":"57 1","pages":""},"PeriodicalIF":2.5,"publicationDate":"2024-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140570484","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-04-01Epub Date: 2024-01-04DOI: 10.1177/10775587231218050
Cameron M Kaplan, Teresa M Waters, Emily R Clear, Elizabeth E Graves, Stephanie Henderson
Prescription drug cost-sharing is a barrier to medication adherence, particularly for low-income and minority populations. In this systematic review, we examined the impact of prescription drug cost-sharing and policies to reduce cost-sharing on racial/ethnic and income disparities in medication utilization. We screened 2,145 titles and abstracts and identified 19 peer-reviewed papers that examined the interaction between cost-sharing and racial/ethnic and income disparities in medication adherence or utilization. We found weak but inconsistent evidence that lower cost-sharing is associated with reduced disparities in adherence and utilization, but studies consistently found that significant disparities remained even after adjusting for differences in cost-sharing across individuals. Study designs varied in their ability to measure the causal effect of policy or cost-sharing changes on disparities, and a wide range of policies were examined across studies. Further research is needed to identify the types of policies that are best suited to reduce disparities in medication adherence.
{"title":"The Impact of Prescription Drug Coverage on Disparities in Adherence and Medication Use: A Systematic Review.","authors":"Cameron M Kaplan, Teresa M Waters, Emily R Clear, Elizabeth E Graves, Stephanie Henderson","doi":"10.1177/10775587231218050","DOIUrl":"10.1177/10775587231218050","url":null,"abstract":"<p><p>Prescription drug cost-sharing is a barrier to medication adherence, particularly for low-income and minority populations. In this systematic review, we examined the impact of prescription drug cost-sharing and policies to reduce cost-sharing on racial/ethnic and income disparities in medication utilization. We screened 2,145 titles and abstracts and identified 19 peer-reviewed papers that examined the interaction between cost-sharing and racial/ethnic and income disparities in medication adherence or utilization. We found weak but inconsistent evidence that lower cost-sharing is associated with reduced disparities in adherence and utilization, but studies consistently found that significant disparities remained even after adjusting for differences in cost-sharing across individuals. Study designs varied in their ability to measure the causal effect of policy or cost-sharing changes on disparities, and a wide range of policies were examined across studies. Further research is needed to identify the types of policies that are best suited to reduce disparities in medication adherence.</p>","PeriodicalId":51127,"journal":{"name":"Medical Care Research and Review","volume":" ","pages":"87-95"},"PeriodicalIF":2.4,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139089339","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-04-01Epub Date: 2024-01-18DOI: 10.1177/10775587231221852
Jun Li
Health care report cards improve information and are a crucial part of health care reform of the federal government of the United States. I exploit a natural experiment in the home health sector to assess whether a higher rating under the star ratings program affects patient choice. Higher rated agencies increased their market share by 1.4% or 0.25 (95% confidence interval: [-0.63, 1.12]) percentage points, a practically and statistically insignificant amount. I find no evidence of heterogeneous effects across the rating distribution or over time. I also find precise null effects among consumers expected to be more responsive, including community-entry patients and patients in competitive markets with more options and star types. Agencies may have modestly impeded consumer choice by engaging in some patient selection behaviors, although the evidence is only weakly suggestive. The star ratings are unlikely to improve home health quality despite continued policymaker interest.
{"title":"Public Reporting and Consumer Demand in the Home Health Sector.","authors":"Jun Li","doi":"10.1177/10775587231221852","DOIUrl":"10.1177/10775587231221852","url":null,"abstract":"<p><p>Health care report cards improve information and are a crucial part of health care reform of the federal government of the United States. I exploit a natural experiment in the home health sector to assess whether a higher rating under the star ratings program affects patient choice. Higher rated agencies increased their market share by 1.4% or 0.25 (95% confidence interval: [-0.63, 1.12]) percentage points, a practically and statistically insignificant amount. I find no evidence of heterogeneous effects across the rating distribution or over time. I also find precise null effects among consumers expected to be more responsive, including community-entry patients and patients in competitive markets with more options and star types. Agencies may have modestly impeded consumer choice by engaging in some patient selection behaviors, although the evidence is only weakly suggestive. The star ratings are unlikely to improve home health quality despite continued policymaker interest.</p>","PeriodicalId":51127,"journal":{"name":"Medical Care Research and Review","volume":" ","pages":"122-132"},"PeriodicalIF":2.5,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10939869/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139486800","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-04-01Epub Date: 2023-12-31DOI: 10.1177/10775587231216515
Rachel K Landis, Bradley D Stein, Andrew W Dick, Beth Ann Griffin, Brendan K Saloner, Mishka Terplan, Laura J Faherty
We described Medicaid-insured women by receipt of perinatal opioid use disorder (OUD) treatment; and trends and disparities in treatment. Using 2007 to 2012 Medicaid Analytic eXtract data from 45 states and D.C., we identified deliveries among women with OUD. Regressions modeled the association between patient characteristics and receipt of any OUD treatment, medication for OUD (MOUD), and counseling alone during the perinatal period. Rates of any OUD treatment and MOUD for women with perinatal OUD increased over the study period, but trends differed by subgroup. Compared with non-Hispanic White women, Black and American Indian/Alaskan Native (AI/AN) women were less likely to receive any OUD treatment, and Black women were less likely to receive MOUD. Over time, the disparity in receipt of MOUD between Black and White women increased. Overall gains in OUD treatment were driven by improvements in perinatal OUD care for White women and obscured disparities for Black and AI/AN women.
{"title":"Trends and Disparities in Perinatal Opioid Use Disorder Treatment in Medicaid, 2007-2012.","authors":"Rachel K Landis, Bradley D Stein, Andrew W Dick, Beth Ann Griffin, Brendan K Saloner, Mishka Terplan, Laura J Faherty","doi":"10.1177/10775587231216515","DOIUrl":"10.1177/10775587231216515","url":null,"abstract":"<p><p>We described Medicaid-insured women by receipt of perinatal opioid use disorder (OUD) treatment; and trends and disparities in treatment. Using 2007 to 2012 Medicaid Analytic eXtract data from 45 states and D.C., we identified deliveries among women with OUD. Regressions modeled the association between patient characteristics and receipt of any OUD treatment, medication for OUD (MOUD), and counseling alone during the perinatal period. Rates of any OUD treatment and MOUD for women with perinatal OUD increased over the study period, but trends differed by subgroup. Compared with non-Hispanic White women, Black and American Indian/Alaskan Native (AI/AN) women were less likely to receive any OUD treatment, and Black women were less likely to receive MOUD. Over time, the disparity in receipt of MOUD between Black and White women increased. Overall gains in OUD treatment were driven by improvements in perinatal OUD care for White women and obscured disparities for Black and AI/AN women.</p>","PeriodicalId":51127,"journal":{"name":"Medical Care Research and Review","volume":" ","pages":"145-155"},"PeriodicalIF":2.5,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139075809","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-04-01Epub Date: 2024-01-18DOI: 10.1177/10775587231225795
Henry S Stabler, Timothy Beebe, Katie White
Policymakers have long sought to encourage hospitals to assume a more collaborative role in improving community health. By urging hospitals to interact with community stakeholders, more integrative relationships may result that can better address local health issues. This study establishes a composite measure of hospital community orientation, defined as the extent to which a hospital uses community resources and knowledge in its community benefit (CB) work, based on an expansion of CB regulations that require nonprofit hospitals (NPHs) to develop strategies to address prioritized health issues. We collected data on each proposed intervention from 125 randomly selected NPHs over three reporting periods. Confirmatory factor analysis was used to assess how well a single-factor model approximated community orientation. We conclude that using hospital community orientation measurement is a useful metric to assess the effects of expanded CB regulations, as well as to determine how NPHs have interacted with communities over time.
{"title":"Introducing a Measure of Hospital Community Orientation.","authors":"Henry S Stabler, Timothy Beebe, Katie White","doi":"10.1177/10775587231225795","DOIUrl":"10.1177/10775587231225795","url":null,"abstract":"<p><p>Policymakers have long sought to encourage hospitals to assume a more collaborative role in improving community health. By urging hospitals to interact with community stakeholders, more integrative relationships may result that can better address local health issues. This study establishes a composite measure of hospital community orientation, defined as the extent to which a hospital uses community resources and knowledge in its community benefit (CB) work, based on an expansion of CB regulations that require nonprofit hospitals (NPHs) to develop strategies to address prioritized health issues. We collected data on each proposed intervention from 125 randomly selected NPHs over three reporting periods. Confirmatory factor analysis was used to assess how well a single-factor model approximated community orientation. We conclude that using hospital community orientation measurement is a useful metric to assess the effects of expanded CB regulations, as well as to determine how NPHs have interacted with communities over time.</p>","PeriodicalId":51127,"journal":{"name":"Medical Care Research and Review","volume":" ","pages":"96-106"},"PeriodicalIF":2.5,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139486798","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-04-01Epub Date: 2023-11-18DOI: 10.1177/10775587231211366
Emmaline Keesee, Susie Gurzenda, Kristie Thompson, George H Pink
High levels of uncompensated care impact hospital profitability and may create challenges for rural hospitals at financial risk of closure. We explore 2019 hospital uncompensated care as a percentage of operating expenses and draw comparisons at a state level by Medicaid expansion status and rural classification. We further compare uncompensated care in 2019 to 2014 in rural hospitals by Medicaid expansion implementation timing. We found that, overall, rural hospitals had more uncompensated care than urban hospitals in 2019 (3.81% vs. 3.12%), but there was a larger difference by expansion status (expansion states: 2.55% vs. non-expansion states: 6.28%). In all but seven states, rural hospitals reported higher uncompensated care than urban, and the 14 states with the highest uncompensated care had not expanded Medicaid. We observed that rural hospital uncompensated care in non-expansion states increased between 2014 and 2019, while the most dramatic decrease occurred in late-expansion states.
{"title":"Uncompensated Care is Highest for Rural Hospitals, Particularly in Non-Expansion States.","authors":"Emmaline Keesee, Susie Gurzenda, Kristie Thompson, George H Pink","doi":"10.1177/10775587231211366","DOIUrl":"10.1177/10775587231211366","url":null,"abstract":"<p><p>High levels of uncompensated care impact hospital profitability and may create challenges for rural hospitals at financial risk of closure. We explore 2019 hospital uncompensated care as a percentage of operating expenses and draw comparisons at a state level by Medicaid expansion status and rural classification. We further compare uncompensated care in 2019 to 2014 in rural hospitals by Medicaid expansion implementation timing. We found that, overall, rural hospitals had more uncompensated care than urban hospitals in 2019 (3.81% vs. 3.12%), but there was a larger difference by expansion status (expansion states: 2.55% vs. non-expansion states: 6.28%). In all but seven states, rural hospitals reported higher uncompensated care than urban, and the 14 states with the highest uncompensated care had not expanded Medicaid. We observed that rural hospital uncompensated care in non-expansion states increased between 2014 and 2019, while the most dramatic decrease occurred in late-expansion states.</p>","PeriodicalId":51127,"journal":{"name":"Medical Care Research and Review","volume":" ","pages":"164-170"},"PeriodicalIF":2.5,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10924546/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136400181","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}