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Temporal Patterns of High-Spend Subgroups Can Inform Service Strategy for Medicare Advantage Enrollees

BACKGROUND: Most healthcare costs are concentrated in a small proportion of individuals with complex social, medical, behavioral, and clinical needs that are poorly met by a fee-for-service healthcare system. Efforts to reduce cost in the top decile have shown limited effectiveness. Understanding pa...

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Autores principales: Amodeo, Samuel J., Kowalkowski, Henrik F., Brantley, Halley L., Jones, Nicholas W., Bangerter, Lauren R., Cook, David J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9198168/
https://www.ncbi.nlm.nih.gov/pubmed/34100239
http://dx.doi.org/10.1007/s11606-021-06912-4
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author Amodeo, Samuel J.
Kowalkowski, Henrik F.
Brantley, Halley L.
Jones, Nicholas W.
Bangerter, Lauren R.
Cook, David J.
author_facet Amodeo, Samuel J.
Kowalkowski, Henrik F.
Brantley, Halley L.
Jones, Nicholas W.
Bangerter, Lauren R.
Cook, David J.
author_sort Amodeo, Samuel J.
collection PubMed
description BACKGROUND: Most healthcare costs are concentrated in a small proportion of individuals with complex social, medical, behavioral, and clinical needs that are poorly met by a fee-for-service healthcare system. Efforts to reduce cost in the top decile have shown limited effectiveness. Understanding patient subgroups within the top decile is a first step toward designing more effective and targeted interventions. OBJECTIVE: Segment the top decile based on spending and clinical characteristics and examine the temporal movement of individuals in and out of the top decile. DESIGN: Retrospective claims data analysis. PARTICIPANTS: UnitedHealthcare Medicare Advantage (MA) enrollees (N = 1,504,091) continuously enrolled from 2016 to 2019. MAIN MEASURES: Medical (physician, inpatient, outpatient) and pharmacy claims for services submitted for third-party reimbursement under Medicare Advantage, available as International Classification of Diseases, Tenth Revision, Clinical Modification (ICD-10-CM) and National Drug Codes (NDC) claims. KEY RESULTS: The top decile was segmented into three distinct subgroups characterized by different drivers of cost: (1) Catastrophic: acute events (acute myocardial infarction and hip/pelvic fracture), (2) persistent: medications, and (3) semi-persistent chronic conditions and frailty indicators. These groups show different patterns of spending across time. Each year, 79% of the catastrophic group dropped out of the top decile. In contrast, 68–70% of the persistent group and 36–37% of the semi-persistent group remained in the top decile year over year. These groups also show different 1-year mortality rates, which are highest among semi-persistent members at 17.5–18.5%, compared to 12% and 13–14% for catastrophic and persistent members, respectively. CONCLUSIONS: The top decile consists of subgroups with different needs and spending patterns. Interventions to reduce utilization and expenditures may show more effectiveness if they account for the different characteristics and care needs of these subgroups. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11606-021-06912-4.
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spelling pubmed-91981682022-06-16 Temporal Patterns of High-Spend Subgroups Can Inform Service Strategy for Medicare Advantage Enrollees Amodeo, Samuel J. Kowalkowski, Henrik F. Brantley, Halley L. Jones, Nicholas W. Bangerter, Lauren R. Cook, David J. J Gen Intern Med Original Research BACKGROUND: Most healthcare costs are concentrated in a small proportion of individuals with complex social, medical, behavioral, and clinical needs that are poorly met by a fee-for-service healthcare system. Efforts to reduce cost in the top decile have shown limited effectiveness. Understanding patient subgroups within the top decile is a first step toward designing more effective and targeted interventions. OBJECTIVE: Segment the top decile based on spending and clinical characteristics and examine the temporal movement of individuals in and out of the top decile. DESIGN: Retrospective claims data analysis. PARTICIPANTS: UnitedHealthcare Medicare Advantage (MA) enrollees (N = 1,504,091) continuously enrolled from 2016 to 2019. MAIN MEASURES: Medical (physician, inpatient, outpatient) and pharmacy claims for services submitted for third-party reimbursement under Medicare Advantage, available as International Classification of Diseases, Tenth Revision, Clinical Modification (ICD-10-CM) and National Drug Codes (NDC) claims. KEY RESULTS: The top decile was segmented into three distinct subgroups characterized by different drivers of cost: (1) Catastrophic: acute events (acute myocardial infarction and hip/pelvic fracture), (2) persistent: medications, and (3) semi-persistent chronic conditions and frailty indicators. These groups show different patterns of spending across time. Each year, 79% of the catastrophic group dropped out of the top decile. In contrast, 68–70% of the persistent group and 36–37% of the semi-persistent group remained in the top decile year over year. These groups also show different 1-year mortality rates, which are highest among semi-persistent members at 17.5–18.5%, compared to 12% and 13–14% for catastrophic and persistent members, respectively. CONCLUSIONS: The top decile consists of subgroups with different needs and spending patterns. Interventions to reduce utilization and expenditures may show more effectiveness if they account for the different characteristics and care needs of these subgroups. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11606-021-06912-4. Springer International Publishing 2021-06-07 2022-06 /pmc/articles/PMC9198168/ /pubmed/34100239 http://dx.doi.org/10.1007/s11606-021-06912-4 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Original Research
Amodeo, Samuel J.
Kowalkowski, Henrik F.
Brantley, Halley L.
Jones, Nicholas W.
Bangerter, Lauren R.
Cook, David J.
Temporal Patterns of High-Spend Subgroups Can Inform Service Strategy for Medicare Advantage Enrollees
title Temporal Patterns of High-Spend Subgroups Can Inform Service Strategy for Medicare Advantage Enrollees
title_full Temporal Patterns of High-Spend Subgroups Can Inform Service Strategy for Medicare Advantage Enrollees
title_fullStr Temporal Patterns of High-Spend Subgroups Can Inform Service Strategy for Medicare Advantage Enrollees
title_full_unstemmed Temporal Patterns of High-Spend Subgroups Can Inform Service Strategy for Medicare Advantage Enrollees
title_short Temporal Patterns of High-Spend Subgroups Can Inform Service Strategy for Medicare Advantage Enrollees
title_sort temporal patterns of high-spend subgroups can inform service strategy for medicare advantage enrollees
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9198168/
https://www.ncbi.nlm.nih.gov/pubmed/34100239
http://dx.doi.org/10.1007/s11606-021-06912-4
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