Finalization and Validation of Questionnaire and Algorithm of SPUR, a New Adherence Profiling Tool.

Area of Science:

• Medical adherence research
• Psychometric evaluation of health instruments
• Diabetes management

Background:

• Non-adherence to treatment is a significant challenge in managing type 2 diabetes.
• Patient-level factors significantly influence treatment adherence.
• A validated tool is needed to identify specific drivers of non-adherence.

Purpose of the Study:

• To finalize the Social, Psychological, Usage and Rational (SPUR) Adherence Profiling Tool.
• To conduct a psychometric evaluation of the SPUR questionnaire.
• To assess the validity and reliability of the SPUR tool for identifying non-adherence drivers.

Main Methods:

• Online survey administered to 245 type 2 diabetes patients in France.
• Utilized Partial Credit Model (PCM) and Principal Component Analysis (PCA) for item selection and response coding refinement.
• Assessed construct validity, concurrent validity (correlations with BMQ, MARS, ACCEPT), and known-groups validity.

Main Results:

• The SPUR questionnaire was finalized into short, intermediate, and long forms.
• Refined response coding improved patient discrimination on the latent trait.
• Demonstrated strong construct, concurrent, and known-groups validity, with higher scores for non-adherent patients.

Conclusions:

• The SPUR Adherence Profiling Tool is a validated instrument for assessing non-adherence risk in patients.
• The tool provides insights into individual reasons for non-adherence, enabling targeted interventions.
• SPUR facilitates effective intervention strategies by identifying specific patient-level drivers.