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The SPUR adherence profiling tool: preliminary results of algorithm development.

Elodie de Bock1, Kevin Dolgin2, Benoit Arnould1

  • 1Patient Centred Outcomes, ICON plc, Lyon, France.

Current Medical Research and Opinion
|December 8, 2021
PubMed
Summary
This summary is machine-generated.

The Social, Psychological, Usage, and Rational (SPUR) Adherence Profiling Tool accurately measures patient adherence. This validated digital tool efficiently identifies adherence barriers in individuals with type 2 diabetes.

Keywords:
Digital questionnaireRaschadherencedrivers of non-adherencepartial credit modelpsychometric validation

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Area of Science:

  • Behavioral Science
  • Psychometrics
  • Digital Health

Background:

  • Adherence to treatment is crucial for managing chronic conditions like type 2 diabetes.
  • Existing adherence measures may not fully capture patient-level risk factors.
  • The Social, Psychological, Usage, and Rational (SPUR) Adherence Profiling Tool was developed to address these limitations.

Purpose of the Study:

  • To psychometrically refine and evaluate the SPUR Adherence Profiling Tool.
  • To assess the SPUR tool's ability to measure adherence and identify risk factors in individuals with type 2 diabetes.

Main Methods:

  • Online survey of 501 individuals with type 2 diabetes in the US.
  • Partial Credit Model (PCM) analysis to evaluate the SPUR tool's structure.
  • Partial least-squares discriminant analyses (PLS-DA) to optimize item selection.
  • Correlations with validated adherence measures.

Main Results:

  • 39 of 45 candidate SPUR items fit the PCM, confirming a single latent trait for non-adherence.
  • SPUR tool's latent trait correlated significantly with other adherence measures (0.32–0.48).
  • The tool effectively captured a wide range of adherence behaviors, from perfect adherence to high non-adherence.

Conclusions:

  • The SPUR Adherence Profiling Tool is a psychometrically sound and adaptive instrument.
  • It offers accurate and efficient measurement of adherence using a digital behavioral diagnostic approach.
  • SPUR shows promise for identifying adherence barriers in type 2 diabetes management.