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Treatment burden as a predictor of self-management adherence within the primary care population

Nathanial Schreiner1, Sarah DiGennaro1, Carla Harwell2

  • 1Case Western Reserve University, Frances Payne Bolton School of Nursing, Cleveland, OH, United States of America.

Applied Nursing Research : ANR
|July 12, 2020
PubMed

Insights

High treatment burden in chronic conditions negatively impacts medication, exercise, and dietary adherence. Screening for treatment burden can identify patients needing support for better self-management.

Area of Science:

  • Health Services Research
  • Patient-Reported Outcomes
  • Chronic Disease Management

Background:

  • Patients with chronic conditions often face significant treatment burdens.
  • Understanding the impact of treatment burden on adherence is crucial for effective chronic care.

Purpose of the Study:

  • To quantify treatment burden in primary care patients with chronic conditions.
  • To assess if cumulative and task-specific treatment burden predict adherence to medication, exercise, and diet.

Main Methods:

  • Prospective, descriptive, cross-sectional study design.
  • 149 adult patients from a primary care clinic completed self-report surveys.
  • Multivariate regression modeling analyzed the relationship between treatment burden and adherence.

Main Results:

  • Participants reported moderate treatment burden.
  • Higher cumulative and task-specific treatment burden were strongly associated with lower adherence.
  • Treatment burden significantly predicted adherence outcomes.

Conclusions:

  • Increased treatment burden is linked to poorer adherence in chronic condition management.
  • Treatment burden screening can identify at-risk patients and guide targeted interventions.
  • Reducing patient treatment burden is key to improving self-management adherence.
Abstract

Keywords:
Chronic conditionsPrimary careSelf-management adherenceTreatment burden

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