Medications Non-adherence Reasoning Scale (MedNARS): Development and psychometric properties appraisal

Background: Proper elucidation of medication non-adherence reasoning especially in older adults might pave the way for an auspicious therapeutic outcome. The main of this study was to develop and psychometrically test the Medications Non-adherence Reasoning (MedNARS) questionnaire for application in...

Full description

Saved in:
Bibliographic Details
Main Authors: Hamid Allahverdipour (Author), Majid Badri (Author), Abdulreza Shaghaghi (Author), Hassan Mahmoodi (Author), Haleh Heizomi (Author), Shayesteh Shirzadi (Author), Mohammad Asghari-Jafarabadi (Author)
Format: Book
Published: Tabriz University of Medical Sciences, 2023-09-01T00:00:00Z.
Subjects:
Online Access:Connect to this object online.
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Background: Proper elucidation of medication non-adherence reasoning especially in older adults might pave the way for an auspicious therapeutic outcome. The main of this study was to develop and psychometrically test the Medications Non-adherence Reasoning (MedNARS) questionnaire for application in research and probably practice settings. Methods: A mixed methods design was utilized to develop the MedNARS. The item pool was mainly generated based on a qualitative query and literature review. The expert panel approved version of the MedNARS was psychometrically assessed on a convenience sample of 220 older patients with chronic disease. The internal consistency, test-retest reliability, content and face validity of the scale were appraised and its construct validity was assed using exploratory and confirmatory factor analyses. Results: A nine-item version of the MedNARS was drafted based on the classical item analysis procedures and its estimated internal consistency measure of the Cronbach's alpha (0.85) and test-retest reliability (0.96) were in the vicinity of acceptable range. The exploratory factor analysis (EFA) output revealed a unidimensional structure for the MedNARS and the conducted confirmatory factor analysis (CFA) indicated an acceptable data fit for the extracted one-factor model. The goodness of fit indices were as the followings: χ2 /df=1.63(90% CI: 0.02 to 0.11), root mean squared error of approximation (RMSEA)=(0.07), comparative fit index (CFI)=0.95, Tucker-Lewis index (TLI)=0.93 and standardized root mean squared residual (SRMSR)=(0.05). Conclusion: The study findings were indicative of MedNARS's applicability and feasibility for use in assessment of medication non-adherence reasoning among the elderly patients with chronic diseases. The MedNARS as a brief and elder-friendly instrument can be applied both in research and practice settings to enhance efficiency, safety, and health outcomes of the therapeutic recommendations.
Item Description:2228-6497
10.34172/hpp.2023.26