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Subgroups of High-Cost Medicare Advantage Patients: an Observational Study.
Powers, Brian W; Yan, Jiali; Zhu, Jingsan; Linn, Kristin A; Jain, Sachin H; Kowalski, Jennifer L; Navathe, Amol S.
Affiliation
  • Powers BW; Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA.
  • Yan J; Department of Population Medicine, Harvard Medical School/Harvard Pilgrim Health Care Institute, Boston, MA, USA.
  • Zhu J; CareMore Health System, Cerritos, CA, USA.
  • Linn KA; Atrius Health, Boston, MA, USA.
  • Jain SH; Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
  • Kowalski JL; Department of Medical Ethics and Health Policy, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
  • Navathe AS; Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
J Gen Intern Med ; 34(2): 218-225, 2019 02.
Article in En | MEDLINE | ID: mdl-30511290
ABSTRACT

BACKGROUND:

There is a growing focus on improving the quality and value of health care delivery for high-cost patients. Compared to fee-for-service Medicare, less is known about the clinical composition of high-cost Medicare Advantage populations.

OBJECTIVE:

To describe a high-cost Medicare Advantage population and identify clinically and operationally significant subgroups of patients.

DESIGN:

We used a density-based clustering algorithm to group high-cost patients (top 10% of spending) according to 161 distinct demographic, clinical, and claims-based variables. We then examined rates of utilization, spending, and mortality among subgroups.

PARTICIPANTS:

Sixty-one thousand five hundred forty-six Medicare Advantage beneficiaries. MAIN

MEASURES:

Spending, utilization, and mortality. KEY

RESULTS:

High-cost patients (n = 6154) accounted for 55% of total spending. High-cost patients were more likely to be younger, male, and have higher rates of comorbid illnesses. We identified ten subgroups of high-cost patients acute exacerbations of chronic disease (mixed); end-stage renal disease (ESRD); recurrent gastrointestinal bleed (GIB); orthopedic trauma (trauma); vascular disease (vascular); surgical infections and other complications (complications); cirrhosis with hepatitis C (liver); ESRD with increased medical and behavioral comorbidity (ESRD+); cancer with high-cost imaging and radiation therapy (oncology); and neurologic disorders (neurologic). The average number of inpatient days ranged from 3.25 (oncology) to 26.09 (trauma). Preventable spending (as a percentage of total spending) ranged from 0.8% (oncology) to 9.5% (complications) and the percentage of spending attributable to prescription medications ranged from 7.9% (trauma and oncology) to 77.0% (liver). The percentage of patients who were persistently high-cost ranged from 11.8% (trauma) to 100.0% (ESRD+). One-year mortality ranged from 0.0% (liver) to 25.8% (ESRD+).

CONCLUSIONS:

We identified clinically distinct subgroups of patients within a heterogeneous high-cost Medicare Advantage population using cluster analysis. These subgroups, defined by condition-specific profiles and illness trajectories, had markedly different patterns of utilization, spending, and mortality, holding important implications for clinical strategy.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Chronic Disease / Health Care Costs / Medicare Part C Type of study: Health_economic_evaluation / Observational_studies / Prognostic_studies Limits: Aged / Aged80 / Female / Humans / Male Country/Region as subject: America do norte Language: En Journal: J Gen Intern Med Journal subject: MEDICINA INTERNA Year: 2019 Document type: Article Affiliation country: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Chronic Disease / Health Care Costs / Medicare Part C Type of study: Health_economic_evaluation / Observational_studies / Prognostic_studies Limits: Aged / Aged80 / Female / Humans / Male Country/Region as subject: America do norte Language: En Journal: J Gen Intern Med Journal subject: MEDICINA INTERNA Year: 2019 Document type: Article Affiliation country: United States