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Psychotropic Medication Adherence and Its Associated Factors Among Schizophrenia Patients: Exploring the Consistency of Adherence Scales. | LitMetric

Background and objective Non-adherence to psychotropic medication can aggravate an individual's illness, diminish treatment efficacy, or make patients less responsive to future therapeutic interventions. There are several scales available to measure non-adherence to medications. In this study, we aimed to measure psychotropic medication adherence and its associated factors among schizophrenic outpatients in Saudi Arabia. Methodology A cross-sectional study was conducted with a view to measuring psychotropic medication adherence and its associated factors. The Medication Adherence Rating Scale (MARS) and the Drug Attitude Inventory-10 (DAI-10) were translated into Arabic, and their internal consistency was measured. The adjusted odds ratios (AOR) were calculated using logistic regression in the IBM SPSS Statistics software version 23 (IBM Corp., Armonk, NY). Results Spearman's rho correlation indicated a negative association between DAI-10 and MARS scores (r = -0.579; p<0.05). The Arabic version of MARS was more reliable than DAI-10, as evidenced by Cronbach's alpha value. Of note, 60.20% (n = 59) of the sample demonstrated high adherence levels. The adherence level based on MARS scoring remained unaffected (p>0.05) in terms of gender, age, employment, marital status, educational level, income level, and duration of sickness. These results were obtained by using the multivariate logistic regression model; 89% of respondents reported not using psychiatric drugs given by someone else, despite the adherence rate not affecting this number. Conclusion The rate of non-adherence to psychotropic treatment was found to be high in our cohort. Hence, it is imperative to develop comprehensive intervention methods targeting the causes of non-adherence to psychiatric medication.

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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10612138PMC
http://dx.doi.org/10.7759/cureus.46118DOI Listing

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