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Related Concept Videos

Methods of Documentation VI: Case Management Model01:15

Methods of Documentation VI: Case Management Model

The case management model is a multidisciplinary approach that involves healthcare professionals from diverse disciplines, such as physicians, nurses, therapists, social workers, and pharmacists, working collaboratively to address the various needs of patients. Each healthcare professional brings unique expertise and perspectives, contributing to a more comprehensive understanding of the patient's condition and tailoring treatment plans accordingly.
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Updated: Jun 6, 2026

Multidisciplinary Approach to Obesity Management: A Case Report
05:10

Multidisciplinary Approach to Obesity Management: A Case Report

Published on: May 30, 2025

An epidemiologic perspective on a case management program.

Deborah Kahler1, Patricia Salber, Thomas Wilson

  • 1Product Development, Medical Management Initiatives, Medical Management Operations of Case Management and Utilization Management Departments, Universal American, Medicare Advantage Division.

Professional Case Management
|November 9, 2010
PubMed
Summary
This summary is machine-generated.

Epidemiology improved case management (CM) by aligning CM "dose" with patient risk. This optimization directs resources effectively, enhancing patient outcomes and program efficiency for better healthcare delivery.

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Last Updated: Jun 6, 2026

Multidisciplinary Approach to Obesity Management: A Case Report
05:10

Multidisciplinary Approach to Obesity Management: A Case Report

Published on: May 30, 2025

Area of Science:

  • Epidemiology
  • Health Services Research
  • Healthcare Management

Background:

  • Case management (CM) programs aim to improve patient outcomes and healthcare efficiency.
  • Epidemiological principles offer tools for program evaluation and optimization.
  • Understanding the relationship between CM interventions and patient outcomes is crucial for resource allocation.

Purpose of the Study:

  • To enhance a case management (CM) program using epidemiological methods.
  • To analyze factors influencing patient outcomes within a CM program.
  • To assess the effectiveness of CM interventions and guide resource allocation for improved efficiency.

Main Methods:

  • Utilized epidemiological principles to analyze a CM program within a Medicare Advantage health plan.
  • Described the managed population (N=12,185) and analyzed the relationship between CM 'dose' and patient risk profiles.
  • Compared pre-CM and post-CM costs to estimate program impact, acknowledging potential biases like regression to the mean.

Main Results:

  • A linear relationship was observed between the 'dose' of CM (contact frequency) and patient risk profiles.
  • Average healthcare costs were lower in the 6 months post-CM compared to the 6 months pre-CM.
  • The greatest value was observed in managing moderate-risk cases with 2-4 CM contacts, though regression to the mean may influence findings.

Conclusions:

  • CM resource allocation appeared aligned with patient risk, indicating resources were directed to those in need.
  • Population-based epidemiological assessments can improve the efficiency of CM resource allocation.
  • Future studies should incorporate control groups to establish comparative effectiveness of CM interventions.