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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.
For example, a patient with a chronic illness...
Chronic Obstructive Pulmonary Disease-V: Nursing Management01:30

Chronic Obstructive Pulmonary Disease-V: Nursing Management

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Chronic Obstructive Pulmonary Disease-V: Management01:29

Chronic Obstructive Pulmonary Disease-V: Management

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Atherosclerosis IV: Nursing Management01:23

Atherosclerosis IV: Nursing Management

Nursing management for a patient with arteriosclerosis involves a comprehensive approach focusing on lifestyle modification, disease monitoring, education, and symptomatic care. Here is an overview of effective nursing strategies:Assessment and Monitoring: Initial and ongoing assessments are crucial. Nurses must document the patient's medical history, including any hypertension, diabetes, hyperlipidemia, and other cardiovascular diseases. Assessments also cover family history and lifestyle...
Rheumatic Heart Disease III: Medical Management01:21

Rheumatic Heart Disease III: Medical Management

Rheumatic heart disease (RHD) management can be divided into two main strategies: prevention and long-term management.Primary PreventionPrimary prevention focuses on timely diagnosis and management of group A streptococcal pharyngitis to prevent acute rheumatic fever. The most widely used antibiotic for treating this condition is intramuscular benzathine penicillin G.Acute Rheumatic Fever TreatmentThe primary treatment goal for a patient diagnosed with acute rheumatic fever is to suppress the...
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Related Experiment Video

Updated: Jun 24, 2026

Inverse Probability of Treatment Weighting (Propensity Score) using the Military Health System Data Repository and National Death Index
06:55

Inverse Probability of Treatment Weighting (Propensity Score) using the Military Health System Data Repository and National Death Index

Published on: January 8, 2020

Who gets disease management?

Melinda Beeuwkes Buntin1, Arvind K Jain, Soeren Mattke

  • 1RAND Corporation, Arlington, VA 22202-5050, USA.

Journal of General Internal Medicine
|March 25, 2009
PubMed
Summary

Disease management (DM) programs show selection bias, as enrollees differ significantly from non-enrollees before participation. This suggests prior DM effectiveness studies may overestimate benefits due to this enrollment bias.

Area of Science:

  • Health Services Research
  • Chronic Disease Management
  • Health Economics

Background:

  • Disease management (DM) is promoted to improve outcomes and reduce costs for chronic conditions.
  • Existing DM studies often suffer from selection bias, where enrollees differ from non-enrollees.
  • This bias can skew the perceived effectiveness of DM interventions.

Purpose of the Study:

  • To quantify the differences between patients who enroll in DM programs and those who do not.
  • To identify pre-enrollment characteristics that distinguish DM participants from non-participants.

Main Methods:

  • Observational study of 27,211 health insurance members with asthma, diabetes, or congestive heart failure.
  • Analysis of health coach call records to determine participation status.

Related Experiment Videos

Last Updated: Jun 24, 2026

Inverse Probability of Treatment Weighting (Propensity Score) using the Military Health System Data Repository and National Death Index
06:55

Inverse Probability of Treatment Weighting (Propensity Score) using the Military Health System Data Repository and National Death Index

Published on: January 8, 2020

  • Claims data and HEDIS scores from the prior year were used to assess healthcare utilization, costs, and quality.

    • Main Results:

    • Enrollees significantly differed from non-enrollees in demographic, cost, utilization, and quality parameters before enrollment.
    • Diabetes patients enrolling in DM had more prescriptions and better HbA1c HEDIS scores pre-intervention.
    • Significant pre-enrollment disparities highlight selection bias in DM programs.

    Conclusions:

    • Selection bias is a significant issue in disease management program enrollment.
    • Prior evaluations of DM effectiveness may be overstated if they do not account for selection bias.
    • Further research is needed to develop methodologies that address selection bias in DM studies.