Kathryn Corelli, Erin Duralde, Diya Mathur, Mary Price, Nicole M Benson, Nishmi Abeyweera, Vicki Fung, Christine Vogeli, Katherine H Schiavoni, Maryann M Vienneau, Mallika L Mendu, Lindsay Jubelt, Gregg S Meyer, John Hsu
{"title":"高风险护理管理对医疗补助ACO使用和支出的影响。","authors":"Kathryn Corelli, Erin Duralde, Diya Mathur, Mary Price, Nicole M Benson, Nishmi Abeyweera, Vicki Fung, Christine Vogeli, Katherine H Schiavoni, Maryann M Vienneau, Mallika L Mendu, Lindsay Jubelt, Gregg S Meyer, John Hsu","doi":"10.37765/ajmc.2025.89766","DOIUrl":null,"url":null,"abstract":"<p><strong>Objectives: </strong>States are experimenting with accountable care organization (ACO) contracts to slow Medicaid spending growth. There is limited information on how ACOs have impacted expenditures in Medicaid, which includes a relatively heterogenous population with less spending compared with Medicare. This study aimed to evaluate the impact of high-risk care management on spending and utilization within Massachusetts' largest Medicaid ACO.</p><p><strong>Study design: </strong>This observational study analyzed Medicaid claims data from Massachusetts' largest Medicaid ACO utilizing staggered program entry from 2016 to 2021 (n = 158,441 total beneficiaries). It included adults aged 18 to 64 years with multiple chronic conditions and used a claims-based algorithm for participant selection. We examined spending and clinical event rates of those participating and not yet participating in a high-risk care management program. Between 2016 and 2021, 2479 beneficiaries were identified as high risk and entered the program.</p><p><strong>Methods: </strong>The study utilized a difference-in-differences approach with linear regression models to assess the impact of care management. The analysis accounted for time-stable and time-changing covariates, including comorbidity levels and age.</p><p><strong>Results: </strong>Participation in the program for 7 or more months was associated with a $243 reduction in monthly spending compared with similar beneficiaries who had not yet started the program (95% CI, -$479 to -$6). There also were comparable reductions in emergency department visit and hospitalization rates.</p><p><strong>Conclusions: </strong>These early ACO data findings suggest that upstream care management of high-risk individuals may represent a viable approach for slowing Medicaid spending growth.</p>","PeriodicalId":50808,"journal":{"name":"American Journal of Managed Care","volume":"31 7","pages":"334-339"},"PeriodicalIF":2.1000,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"High-risk care management impact on Medicaid ACO utilization and spending.\",\"authors\":\"Kathryn Corelli, Erin Duralde, Diya Mathur, Mary Price, Nicole M Benson, Nishmi Abeyweera, Vicki Fung, Christine Vogeli, Katherine H Schiavoni, Maryann M Vienneau, Mallika L Mendu, Lindsay Jubelt, Gregg S Meyer, John Hsu\",\"doi\":\"10.37765/ajmc.2025.89766\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Objectives: </strong>States are experimenting with accountable care organization (ACO) contracts to slow Medicaid spending growth. There is limited information on how ACOs have impacted expenditures in Medicaid, which includes a relatively heterogenous population with less spending compared with Medicare. This study aimed to evaluate the impact of high-risk care management on spending and utilization within Massachusetts' largest Medicaid ACO.</p><p><strong>Study design: </strong>This observational study analyzed Medicaid claims data from Massachusetts' largest Medicaid ACO utilizing staggered program entry from 2016 to 2021 (n = 158,441 total beneficiaries). It included adults aged 18 to 64 years with multiple chronic conditions and used a claims-based algorithm for participant selection. We examined spending and clinical event rates of those participating and not yet participating in a high-risk care management program. Between 2016 and 2021, 2479 beneficiaries were identified as high risk and entered the program.</p><p><strong>Methods: </strong>The study utilized a difference-in-differences approach with linear regression models to assess the impact of care management. The analysis accounted for time-stable and time-changing covariates, including comorbidity levels and age.</p><p><strong>Results: </strong>Participation in the program for 7 or more months was associated with a $243 reduction in monthly spending compared with similar beneficiaries who had not yet started the program (95% CI, -$479 to -$6). There also were comparable reductions in emergency department visit and hospitalization rates.</p><p><strong>Conclusions: </strong>These early ACO data findings suggest that upstream care management of high-risk individuals may represent a viable approach for slowing Medicaid spending growth.</p>\",\"PeriodicalId\":50808,\"journal\":{\"name\":\"American Journal of Managed Care\",\"volume\":\"31 7\",\"pages\":\"334-339\"},\"PeriodicalIF\":2.1000,\"publicationDate\":\"2025-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"American Journal of Managed Care\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.37765/ajmc.2025.89766\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"HEALTH CARE SCIENCES & SERVICES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"American Journal of Managed Care","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.37765/ajmc.2025.89766","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"HEALTH CARE SCIENCES & SERVICES","Score":null,"Total":0}
High-risk care management impact on Medicaid ACO utilization and spending.
Objectives: States are experimenting with accountable care organization (ACO) contracts to slow Medicaid spending growth. There is limited information on how ACOs have impacted expenditures in Medicaid, which includes a relatively heterogenous population with less spending compared with Medicare. This study aimed to evaluate the impact of high-risk care management on spending and utilization within Massachusetts' largest Medicaid ACO.
Study design: This observational study analyzed Medicaid claims data from Massachusetts' largest Medicaid ACO utilizing staggered program entry from 2016 to 2021 (n = 158,441 total beneficiaries). It included adults aged 18 to 64 years with multiple chronic conditions and used a claims-based algorithm for participant selection. We examined spending and clinical event rates of those participating and not yet participating in a high-risk care management program. Between 2016 and 2021, 2479 beneficiaries were identified as high risk and entered the program.
Methods: The study utilized a difference-in-differences approach with linear regression models to assess the impact of care management. The analysis accounted for time-stable and time-changing covariates, including comorbidity levels and age.
Results: Participation in the program for 7 or more months was associated with a $243 reduction in monthly spending compared with similar beneficiaries who had not yet started the program (95% CI, -$479 to -$6). There also were comparable reductions in emergency department visit and hospitalization rates.
Conclusions: These early ACO data findings suggest that upstream care management of high-risk individuals may represent a viable approach for slowing Medicaid spending growth.
期刊介绍:
The American Journal of Managed Care is an independent, peer-reviewed publication dedicated to disseminating clinical information to managed care physicians, clinical decision makers, and other healthcare professionals. Its aim is to stimulate scientific communication in the ever-evolving field of managed care. The American Journal of Managed Care addresses a broad range of issues relevant to clinical decision making in a cost-constrained environment and examines the impact of clinical, management, and policy interventions and programs on healthcare and economic outcomes.