Identifying Specific Combinations of Multimorbidity that Contribute to Health Care Resource Utilization: An Analytic Approach.

Schiltz, Nicholas K; Warner, David F; Sun, Jiayang; Bakaki, Paul M; Dor, Avi; Given, Charles W; Stange, Kurt C; Koroukian, Siran M

Schiltz, Nicholas K; Warner, David F; Sun, Jiayang; Bakaki, Paul M; Dor, Avi; Given, Charles W; Stange, Kurt C; Koroukian, Siran M.

Affiliation

Schiltz NK; *Department of Epidemiology & Biostatistics, Case Western Reserve University School of Medicine, Cleveland, OH Department of Sociology, University of Nebraska-Lincoln, Lincoln, NE Department of Health Policy and Management, George Washington University Milken Institute School of Public Health, Washington, DC §Department of Family Medicine, Michigan State University, East Lansing, MI â¥Department of Family Medicine and Community Health, Case Western Reserve University School of Medicine, Cle

Med Care ; 55(3): 276-284, 2017 03.

Article in En | MEDLINE | ID: mdl-27753745

Subject(s)

Comorbidity; Health Expenditures/statistics & numerical data; Machine Learning; Medicare/economics; Medicare/statistics & numerical data; Activities of Daily Living; Age Factors; Aged; Aged, 80 and over; Female; Health Behavior; Health Status; Humans; Male; Retrospective Studies; Self Report; Socioeconomic Factors; United States

Fulltext

XML

PubMed Links

Search on Google

Full text: 1 Database: MEDLINE Main subject: Comorbidity / Medicare / Health Expenditures / Machine Learning Type of study: Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Aged / Aged80 / Female / Humans / Male Country/Region as subject: America do norte Language: En Year: 2017 Type: Article

Fulltext

XML

PubMed Links

Search on Google