Literature DB >> 27914968

Segmenting high-cost Medicare patients into potentially actionable cohorts.

Karen E Joynt1, Jose F Figueroa2, Nancy Beaulieu3, Robert C Wild3, E John Orav4, Ashish K Jha5.   

Abstract

BACKGROUND: Providers are assuming growing responsibility for healthcare spending, and prior studies have shown that spending is concentrated in a small proportion of patients. Using simple methods to segment these patients into clinically meaningful subgroups may be a useful and accessible strategy for targeting interventions to control costs.
METHODS: Using Medicare fee-for-service claims from 2011 (baseline year, used to determine comorbidities and subgroups) and 2012 (spending year), we used basic demographics and comorbidities to group beneficiaries into 6 cohorts, defined by expert opinion and consultation: under-65 disabled/ESRD, frail elderly, major complex chronic, minor complex chronic, simple chronic, and relatively healthy. We considered patients in the highest 10% of spending to be "high-cost."
RESULTS: 611,245 beneficiaries were high-cost; these patients were less often white (76.2% versus 80.9%) and more often dually-eligible (37.0% versus 18.3%). By segment, frail patients were the most likely (46.2%) to be high-cost followed by the under-65 (14.3%) and major complex chronic groups (11.1%); fewer than 5% of the beneficiaries in the other cohorts were high-cost in the spending year. The frail elderly ($70,196) and under-65 disabled/ESRD ($71,210) high-cost groups had the highest spending; spending in the frail high-cost group was driven by inpatient ($23,704) and post-acute care ($24,080), while the under 65-disabled/ESRD spent more through part D costs ($23,003).
CONCLUSIONS: Simple criteria can segment Medicare beneficiaries into clinically meaningful subgroups with different spending profiles. IMPLICATIONS: Under delivery system reform, interventions that focus on frail or disabled patients may have particularly high value as providers seek to reduce spending. LEVEL OF EVIDENCE: IV.
Copyright © 2016 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Complex populations; Disease management; Frailty; High-cost; Medicare; Segmentation

Mesh:

Year:  2016        PMID: 27914968     DOI: 10.1016/j.hjdsi.2016.11.002

Source DB:  PubMed          Journal:  Healthc (Amst)        ISSN: 2213-0764


  50 in total

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9.  Who Will be the Costliest Patients? Using Recent Claims to Predict Expensive Surgical Episodes.

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10.  A Retrospective Study of Administrative Data to Identify High-Need Medicare Beneficiaries at Risk of Dying and Being Hospitalized.

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Journal:  J Gen Intern Med       Date:  2019-01-02       Impact factor: 5.128

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