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 aim 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.

[1]  S. Gau,et al.  Psychometric properties of the Mandarin version of the autism diagnostic observation Schedule-Generic. , 2023, Journal of the Formosan Medical Association = Taiwan yi zhi.

[2]  Lene Berge Holm,et al.  Development and validation of a new non-disease-specific survey tool to assess self-reported adherence to medication , 2022, Frontiers in Pharmacology.

[3]  L. Peng,et al.  Medication non-adherence and associated factors among older adult stroke survivors in China , 2022, Frontiers in Pharmacology.

[4]  Rannveig Sigurvinsdottir,et al.  Dyadic Reports Using the Parental Support after Child Sexual Abuse Measure: Psychometrics and Associations with Post-Traumatic Stress Disorder Symptoms. , 2021, Child abuse review.

[5]  M. Hojat,et al.  Attitudes toward osteopathic medicine scale: development and psychometrics. , 2021, International journal of medical education.

[6]  R. Ravangard,et al.  Medication adherence among the elderly: applying grounded theory approach in a developing country , 2021, Journal of pharmaceutical policy and practice.

[7]  I. Félix,et al.  Medication adherence and related determinants in older people with multimorbidity: A cross-sectional study. , 2021, Nursing forum.

[8]  M. Yaseri,et al.  Determinants of medication adherence among Iranian patients with type 2 diabetes: An application of health action process approach , 2020, Heliyon.

[9]  Gilles E. Gignac,et al.  Digit Span Subscale Scores May Be Insufficiently Reliable for Clinical Interpretation: Distinguishing Between Stratified Coefficient Alpha and Omega Hierarchical , 2019, Assessment.

[10]  R. Horne,et al.  Supporting Adherence to Medicines for Long-Term Conditions: A Perceptions and Practicalities Approach Based on an Extended Common-Sense Model , 2019, European Psychologist.

[11]  J. Vaske,et al.  Rethinking Internal Consistency in Cronbach's Alpha , 2017 .

[12]  M. Dehghan,et al.  Translation and validation of the Persian version of the treatment adherence questionnaire for patients with hypertension , 2016, ARYA atherosclerosis.

[13]  Paula Fresco,et al.  Medication Adherence Measures: An Overview , 2015, BioMed research international.

[14]  Reza Ghanei Gheshlagh,et al.  Determining Concurrent Validity of the Morisky Medication Adherence Scale in Patients with Type 2 Diabetes , 2015 .

[15]  D. Morisky,et al.  Validation of the Persian Version of the 8-Item Morisky Medication Adherence Scale (MMAS-8) in Iranian Hypertensive Patients , 2014, Global journal of health science.

[16]  N. Cottrell,et al.  What are validated self‐report adherence scales really measuring?: a systematic review , 2014, British journal of clinical pharmacology.

[17]  K. Farris,et al.  Revision and validation of Medication Adherence Reasons Scale (MAR-Scale) , 2014, Current medical research and opinion.

[18]  R. Michael Furr,et al.  Scale Construction and Psychometrics for Social and Personality Psychology , 2011 .

[19]  Jerry L. Grenard,et al.  A systematic review of barriers to medication adherence in the elderly: looking beyond cost and regimen complexity. , 2011, The American journal of geriatric pharmacotherapy.

[20]  C. McHorney,et al.  Individual patients hold different beliefs to prescription medications to which they persist vs nonpersist and persist vs nonfulfill , 2010, Patient preference and adherence.

[21]  H. Ward,et al.  Predictive Validity of a Medication Adherence Measure in an Outpatient Setting , 2008, Journal of clinical hypertension.

[22]  R. Haynes,et al.  Interventions for enhancing medication adherence. , 2008, The Cochrane database of systematic reviews.

[23]  A. Rush,et al.  The Brief Adherence Rating Scale (BARS) validated against electronic monitoring in assessing the antipsychotic medication adherence of outpatients with schizophrenia and schizoaffective disorder , 2008, Schizophrenia Research.

[24]  Cheryl Tatano Beck,et al.  Is the CVI an acceptable indicator of content validity? Appraisal and recommendations. , 2007, Research in nursing & health.

[25]  A. Bayat,et al.  Knowledge, attitude and practice of elderly towards lifestyle during aging , 2007 .

[26]  Daniel J. Mundfrom,et al.  Minimum Sample Size Recommendations for Conducting Factor Analyses , 2005 .

[27]  J. Mckenzie,et al.  Health Promotion And Education Research Methods: Using The Five Chapter Thesis/Dissertation Model , 2005 .

[28]  M. Hill,et al.  Development and testing of the Hill-Bone Compliance to High Blood Pressure Therapy Scale. , 2000, Progress in cardiovascular nursing.

[29]  A. Sergejew,et al.  Reliability and validity of a new Medication Adherence Rating Scale (MARS) for the psychoses , 2000, Schizophrenia Research.

[30]  R. P. McDonald,et al.  Test Theory: A Unified Treatment , 1999 .

[31]  B. Svarstad,et al.  The Brief Medication Questionnaire: a tool for screening patient adherence and barriers to adherence. , 1999, Patient education and counseling.

[32]  P. Hayward,et al.  Compliance therapy in psychotic patients: randomised controlled trial , 1996, BMJ.

[33]  R. M. Thorndike Book Review : Psychometric Theory (3rd ed.) by Jum Nunnally and Ira Bernstein New York: McGraw-Hill, 1994, xxiv + 752 pp , 1995 .

[34]  L. Green,et al.  Concurrent and Predictive Validity of a Self-reported Measure of Medication Adherence , 1986, Medical care.

[35]  T. Hogan,et al.  A self-report scale predictive of drug compliance in schizophrenics: reliability and discriminative validity , 1983, Psychological Medicine.

[36]  J. Bartko The Intraclass Correlation Coefficient as a Measure of Reliability , 1966, Psychological reports.

[37]  Pranee Liamputtong,et al.  Handbook of Research Methods in Health Social Sciences , 2018 .

[38]  K. White,et al.  Chinese Breast Cancer Screening Beliefs Questionnaire: development and psychometric testing with Chinese-Australian women. , 2010, Journal of advanced nursing.

[39]  J A Keats Test theory. , 1967, Annual review of psychology.