PRM29 Translation and Validation Study of Morisky Medication Adherence Scale (MMAS): The Urdu Version

Abstract

The aim of this paper is to present a compact and coherent within the Bayesian inference method of best meta-analysis model selection as well as to present analytical results in performing Gibbs sampling within the MTC framework. METHODS: In order to perform Gibbs sampling from the posterior distribution in the random effects model of MTC we evaluate the formulas for the conditional distributions for all parameters. We test for the existence of between study heterogeneity and other parametric restrictions by comparing marginal data densities of competing models. We show how the prior distribution on the model space may affect the inference about best model selection. As an empirical example we present an analysis of effectiveness of two real (although blinded) drugs and placebo. RESULTS: We present the marginal posterior distributions of key parameters as well as the comparison of a few restricted models. Among 18 studies from the systematic review dealing with treating the analyzed medical issue with drugs of interest there exist a significant effect of heterogeneity. The a priori distribution on the space of models does not affect this final conclusion (Bayes factor varies from 185 to 190 in favor of the unreduced model). The posterior odds ratio (which equals around 293.1) points that the treatment with Medicine A brings a stronger effect than with Medicine B or placebo. CONCLUSIONS: Our results show, that using pure Bayesian techniques can be widely used within the MTC framework. We present an easy to operate and coherent inference in performing complex metaanalyses. We also found confirmed, that Medicine A significantly better increases the level of observed outcome than other treatments.

Identification of validated questionnaires to measure adherence to pharmacological antihypertensive treatments

“…The 12 articles selected included 15 validation processes for six questionnaires that measured adherence to pharmacological antihypertensive treatments ( Table 1 ). The questionnaires were the following: – MGL (two validations) 21 , 27 – Brief Medication Questionnaire (BMQ) (one validation) 27 – Hill-Bone Compliance to High Blood Pressure Therapy Scale (HB Comp Scale) (six validations) 7 , 28 – 30 – Morisky Medication Adherence Scale (MMAS-8) (three validations) 31 – 33 – Treatment Adherence Questionnaire for Patients with Hypertension (TAQPH) (one validation) 34 – Martín–Bayarre–Grau (MBG) (two validations). 35 , 36 …”

<p>Non-Adherence to Prescribed Antihypertensives in Primary, Secondary and Tertiary Healthcare Settings in Islamabad, Pakistan: A Cross-Sectional Study</p>

“…To assess medication adherence, the Urdu version of the eight-item Morisky Medication Adherence Scale (MMAS-8) was used. [23][24][25] Since Urdu is the national language and is the most widely spoken and understood language in Pakistan, a validated Urdu translation of MMAS-8 26 was used to measure medication adherence. The MMAS-8 score can range between 0 and 8.…”

Self-reported questionnaires for assessment adherence to treatment in patients with cardiovascular diseases

“…Thus, the Morisky scale can serve as a screening and monitoring tool to identify those patients with cardiovascular diseases who might have medication adherence problems, but the possibilities of developing interventions aimed at improving adherence on the basis of the results of this scale are limited [46][47][48][49]. This was supported by the observation by Sakthong et al [47], who reported a lack of association of blood glucose concentration with Morisky scale score in diabetic patients.…”

“…The Morisky Medication Adherence Scale (MMAS) is a short and easy survey identifying barriers to treatment adherence. So far, this is the most extensively studied scale, validated for a large number of diseases [35][36][37][38][39][40][41][42][43][44][45][46][47][48][49]. The Self-efficacy for Appropriate Medication Use (SEAMS) [50][51], the Hill-Bone Compliance Scale [52][53][54][55], the Brief Medication Questionnaire (BMQ) [56][57][58][59], the Treatment Adherence Questionnaire for Patients with Hypertension (TAQPH) [66], the Martin-Bayarre-Grau questionnaire (MBG) [67][68], and the Adherence Self-Report Questionnaire (ASRQ) [69] focus on patients with chronic cardiovascular diseases, mainly with hypertension.…”