{"id":1631,"date":"2016-10-26T13:28:11","date_gmt":"2016-10-26T11:28:11","guid":{"rendered":"https:\/\/www.longlivetheelderly.org\/?p=1631"},"modified":"2021-03-31T13:29:28","modified_gmt":"2021-03-31T11:29:28","slug":"identifying-specific-combinations-of-multimorbidity-that-contribute-to-health-care-resource-utilization-an-analytic-approach","status":"publish","type":"post","link":"https:\/\/www.longlivetheelderly.org\/?p=1631","title":{"rendered":"Identifying Specific Combinations of Multimorbidity that Contribute to Health Care Resource Utilization: An Analytic Approach"},"content":{"rendered":"<header class=\"css-1vwzign e12qa4dv0\">\r\n<div class=\"css-xt80pu eakwutd0\" data-testid=\"byline-timestamp\">\r\n<div class=\"css-1sowyjy\">\r\n<div class=\"css-vp77d3 epjyd6m0\">\r\n<div class=\"css-1baulvz\">\r\n<p style=\"font-weight: 400;\"><a href=\"https:\/\/www.ncbi.nlm.nih.gov\/pubmed\/?term=Schiltz%20NK%5BAuthor%5D&amp;cauthor=true&amp;cauthor_uid=27753745\">Schiltz NK<\/a><sup>1<\/sup>,\u00a0<a href=\"https:\/\/www.ncbi.nlm.nih.gov\/pubmed\/?term=Warner%20DF%5BAuthor%5D&amp;cauthor=true&amp;cauthor_uid=27753745\">Warner DF<\/a>,\u00a0<a href=\"https:\/\/www.ncbi.nlm.nih.gov\/pubmed\/?term=Sun%20J%5BAuthor%5D&amp;cauthor=true&amp;cauthor_uid=27753745\">Sun J<\/a>,\u00a0<a href=\"https:\/\/www.ncbi.nlm.nih.gov\/pubmed\/?term=Bakaki%20PM%5BAuthor%5D&amp;cauthor=true&amp;cauthor_uid=27753745\">Bakaki PM<\/a>,\u00a0<a href=\"https:\/\/www.ncbi.nlm.nih.gov\/pubmed\/?term=Dor%20A%5BAuthor%5D&amp;cauthor=true&amp;cauthor_uid=27753745\">Dor A<\/a>,\u00a0<a href=\"https:\/\/www.ncbi.nlm.nih.gov\/pubmed\/?term=Given%20CW%5BAuthor%5D&amp;cauthor=true&amp;cauthor_uid=27753745\">Given CW<\/a>,\u00a0<a href=\"https:\/\/www.ncbi.nlm.nih.gov\/pubmed\/?term=Stange%20KC%5BAuthor%5D&amp;cauthor=true&amp;cauthor_uid=27753745\">Stange KC<\/a>,\u00a0<a href=\"https:\/\/www.ncbi.nlm.nih.gov\/pubmed\/?term=Koroukian%20SM%5BAuthor%5D&amp;cauthor=true&amp;cauthor_uid=27753745\">Koroukian SM<\/a>.<\/p>\r\n<p style=\"font-weight: 400;\"><a href=\"https:\/\/www.ncbi.nlm.nih.gov\/pubmed\/27753745?dopt=ExternalLink\"><strong>Author information<\/strong><\/a><\/p>\r\n<p style=\"font-weight: 400;\"><strong>Abstract<\/strong><\/p>\r\n<p style=\"font-weight: 400;\"><strong>BACKGROUND:<\/strong><\/p>\r\n<p style=\"font-weight: 400;\">Multimorbidity affects the majority of elderly adults and is associated with higher health costs and utilization, but how specific patterns of morbidity influence resource use is less understood.<\/p>\r\n<p style=\"font-weight: 400;\"><strong>OBJECTIVE:<\/strong><\/p>\r\n<p style=\"font-weight: 400;\">The objective was to identify specific combinations of chronic conditions, functional limitations, and geriatric syndromes associated with direct medical costs and inpatient utilization.<\/p>\r\n<p style=\"font-weight: 400;\"><strong>DESIGN:<\/strong><\/p>\r\n<p style=\"font-weight: 400;\">Retrospective cohort study using the Health and Retirement Study (2008-2010) linked to Medicare claims. Analysis used machine-learning techniques: classification and regression trees and random forest.<\/p>\r\n<p style=\"font-weight: 400;\"><strong>SUBJECTS:<\/strong><\/p>\r\n<p style=\"font-weight: 400;\">A population-based sample of 5771 Medicare-enrolled adults aged 65 and older in the United States.<\/p>\r\n<p style=\"font-weight: 400;\"><strong>MEASURES:<\/strong><\/p>\r\n<p style=\"font-weight: 400;\">Main covariates: self-reported chronic conditions (measured as none, mild, or severe), geriatric syndromes, and functional limitations. Secondary covariates: demographic, social, economic, behavioral, and health status measures.<\/p>\r\n<p style=\"font-weight: 400;\"><strong>OUTCOMES:<\/strong><\/p>\r\n<p style=\"font-weight: 400;\">Medicare expenditures in the top quartile and inpatient utilization.<\/p>\r\n<p style=\"font-weight: 400;\"><strong>RESULTS:<\/strong><\/p>\r\n<p style=\"font-weight: 400;\">Median annual expenditures were $4354, and 41% were hospitalized within 2 years. The tree model shows some notable combinations: 64% of those with self-rated poor health plus activities of daily living and instrumental activities of daily living disabilities had expenditures in the top quartile. Inpatient utilization was highest (70%) in those aged 77-83 with mild to severe heart disease plus mild to severe diabetes. Functional limitations were more important than many chronic diseases in explaining resource use.<\/p>\r\n<p style=\"font-weight: 400;\"><strong>CONCLUSIONS:<\/strong><\/p>\r\n<br style=\"font-weight: 400;\" \/>\r\n<p style=\"font-weight: 400;\">The multimorbid population is heterogeneous and there is considerable variation in how specific combinations of morbidity influence resource use. Modeling the conjoint effects of chronic conditions, functional limitations, and geriatric syndromes can advance understanding of groups at greatest risk and inform targeted tailored interventions aimed at cost containment.<\/p>\r\n<\/div>\r\n<\/div>\r\n<\/div>\r\n<\/div>\r\n<\/header>","protected":false},"excerpt":{"rendered":"<p>Schiltz NK1,\u00a0Warner DF,\u00a0Sun J,\u00a0Bakaki PM,\u00a0Dor A,\u00a0Given CW,\u00a0Stange KC,\u00a0Koroukian SM. Author information Abstract BACKGROUND: Multimorbidity affects the majority of elderly adults and is associated with higher health costs and utilization, but how specific patterns of morbidity influence resource use is less understood. OBJECTIVE: The objective was to identify specific combinations of chronic conditions, functional limitations, and&hellip;<\/p>\n","protected":false},"author":1,"featured_media":1632,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[10],"tags":[],"class_list":["post-1631","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news","category-10","description-off"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.5 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Identifying Specific Combinations of Multimorbidity that Contribute to Health Care Resource Utilization: An Analytic Approach - Long Live the Elderly<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.longlivetheelderly.org\/?p=1631\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Identifying Specific Combinations of Multimorbidity that Contribute to Health Care Resource Utilization: An Analytic Approach - Long Live the Elderly\" \/>\n<meta property=\"og:description\" content=\"Schiltz NK1,\u00a0Warner DF,\u00a0Sun J,\u00a0Bakaki PM,\u00a0Dor A,\u00a0Given CW,\u00a0Stange KC,\u00a0Koroukian SM. Author information Abstract BACKGROUND: Multimorbidity affects the majority of elderly adults and is associated with higher health costs and utilization, but how specific patterns of morbidity influence resource use is less understood. 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