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The SPUR Model: A Framework for Considering Patient Behavior.

Kevin Dolgin1

  • 1Observia, Paris, France.

Patient Preference and Adherence
|February 6, 2020
PubMed
Summary
This summary is machine-generated.

Personalized digital tools can improve medication adherence by profiling patient behavior. The SPUR framework offers a quantitative approach to identify risks and customize patient support for chronic diseases.

Keywords:
adherencechronic diseasescompliancehealth beliefsreview

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Area of Science:

  • Behavioral Science
  • Health Informatics
  • Patient Support

Background:

  • Medication nonadherence affects half of chronic disease patients.
  • Personalization enhances patient support initiatives.
  • Digital adherence technologies (DATs) necessitate digital profiling systems.

Purpose of the Study:

  • Develop a comprehensive, quantitative profiling approach for patient support.
  • Integrate frameworks from medicine, psychology, sociology, consumer behavior, and economics.
  • Drive customization of patient support initiatives through data-driven insights.

Main Methods:

  • Utilized the Theory of Planned Behavior (TPB) as a primary framework.
  • Integrated the Health Belief Model (HBM) to inform TPB beliefs.
  • Incorporated self-efficacy, social, and psychological factors into the model.

Main Results:

  • Developed the SPUR (Social, Psychological, Usage, Rational) framework.
  • SPUR provides holistic, quantitative profiling of patient behavioral risks.
  • Identified key drivers contributing to patient nonadherence risks.

Conclusions:

  • An interactive, digital questionnaire based on SPUR is proposed.
  • This tool can support the development of digital programs for chronic disease patients.
  • SPUR facilitates personalized interventions to improve medication adherence.