Identification of Cross-sector Service Utilization Patterns Among Urban Medicaid Expansion Enrollees
Dados Bibliográficos
| ID | 9102841 |
|---|---|
| Autores | Peter J Bodurtha (0009-0009-8368-3399, Hennepin County, autor correspondente), Tyler N A Winkelman (0000-0002-9581-5223, Hennepin Healthcare Research Institute), Tyler Winkelman (Hennepin Healthcare and Hennepin Healthcare Research Institute), Katherine Diaz Vickery (0000-0002-1083-838X, Hennepin Healthcare Research Institute), Ross Owen (Hennepin County, autor correspondente), Renee Van Siclen (Hennepin County, autor correspondente), Erik Erickson (Hennepin County, autor correspondente), Courtney Hougham (Hennepin County, autor correspondente), Mark Legler (Hennepin County), Mark S Legler (Hennepin County, autor correspondente), Latasha Jennings (0000-0002-7000-773X, Hennepin County, autor correspondente), Nathan D Shippee (0000-0002-9885-3663, University of Minnesota), Nathan Shippee (University of Minnesota) |
| Ano | 2019 |
| Volume | 57 |
| Fascículo | 2 |
| Páginas | 123-130 |
| Data de publicação | 2019-02-01 |
| Peer Reviewed | Sim |
| Open Access | Não |
| Tipo | ARTICLE |
| Periódico | Medical Care (JOURNAL) |
| Identificadores do periódico | ISSN: 0025-7079 • E-ISSN: 1537-1948 |
| Editora | Ovid Technologies (Wolters Kluwer Health) (PUBLISHER) |
| DOI | 10.1097/mlr.0000000000001024 |
| PMID | 30461582 |
| OpenAlex | W2901224531 |
| Idioma | EN |
| Citações recebidas | 3 |
| Referências citadas | 21 |
BACKGROUND: The expansion of Medicaid as part of the Affordable Care Act opened new opportunities to provide health coverage to low-income adults who may be involved in other public sectors. OBJECTIVE: The main objective of this study was to describe cross-sector utilization patterns among urban Medicaid expansion enrollees. RESEARCH DESIGN: We merged data from 4 public sectors (health care, human services, housing, and criminal justice) for 98,282 Medicaid expansion enrollees in Hennepin County, MN. We fit a latent class model to indicators of cross-sector involvement. MEASURES: Indicator variables described involvement levels within each sector from March 2011 through December 2014. Demographic and chronic condition indicators were included post hoc to characterize classes. RESULTS: We found 6 archetypes of cross-sector involvement: The "Low Contact" class (33.9%) had little involvement in any public sector; "Primary Care" (26.3%) had moderate, stable health care utilization; "Health and Human Services" (15.3%) had high rates of health care and cash assistance utilization; "Minimal Criminal History" (11.0%) had less serious criminal justice involvement; "Cross-sector" (7.8%) had elevated emergency department use, involvement in all 4 sectors, and the highest prevalence of behavioral health conditions; "Extensive Criminal History" (5.7%) had serious criminal justice involvement. The 3 most expensive classes (Health and Human Services, Cross-sector, and Extensive Criminal History) had the highest rates of behavioral health conditions. Together, they comprised 29% of enrollees and 70% of total public costs. CONCLUSIONS: Medicaid expansion enrollees with behavioral health conditions deserve focus due to the high cost-reduction potential across public sectors. Cross-sector collaboration is a plausible path to reduce costs and improve outcomes
Business · Economic growth · Economics · Health care · Identification (biology) · Medicaid · Food Security and Health in Diverse Populations · Healthcare Policy and Management · Public Health Policies and Education
Variation in Outpatient Postpartum Care Use in the United States
Service Involvement Across Multiple Sectors Among People Who Use Opioids, Methamphetamine, or Both, United States—2015–2018
Differential Effects of an Emergency Department-to-Home Care Transitions Intervention in an Older Adult Population
Correctional policy for offenders with mental illness
The health of homeless people in high-income countries
Mass incarceration, public health, and widening inequality in the USA
Health interventions for people who are homeless
Achieving Public Health Goals Through Medicaid Expansion
Identifying Subgroups of Adult Superutilizers in an Urban Safety-Net System Using Latent Class Analysis
Comorbidity Measures for Use with Administrative Data
Characteristics of Individuals With Severe Mental Illness Who Use Emergency Services
| Obras citantes distintas | 3 |
|---|---|
| Citações por ano | 0,6 |
| Intervalo de citações | 2021 - 2023 (3) |
| Velocidade de citação | historical |
| Altamente citado | Não |
| Tipos de citação | Neutras: 3 |