OBJECTIVE: To investigate the impact of customized CMI (C-CMI) on health-related quality of life (HRQoL) among type 2 diabetes mellitus (T2DM) patients in Qatar.
METHODS: This was a randomized controlled intervention study, in which the intervention group patients received C-CMI and the control group patients received usual care. HRQoL was measured using the EQ-5D-5L questionnaire and EQ visual analog scale (EQ-VAS) at three intervals [i.e. baseline, after 3 months and 6 months].
RESULTS: The EQ-5D-5L index value for the intervention group exhibited sustained improvement from baseline to the third visit. There was a statistically significant difference between groups in the HRQoL utility value (represented as EQ index) at 6 months (0.939 vs. 0.796; p = 0.019). Similarly, the intervention group compared with the control group had significantly greater EQ-VAS at 6 months (90% vs. 80%; p = 0.003).
CONCLUSIONS: The impact of C-CMI on health outcomes of T2DM patients in Qatar reported improvement in HRQoL indicators among the intervention patients. The study built a platform for health policymakers and regulatory agencies to consider the provision of C-CMI in multiple languages.
OBJECTIVE: This study aimed to evaluate the impact of CMI on medication adherence and glycaemic control among patients with type 2 diabetes in Qatar.
METHODS: We developed and customised CMI for all the anti-diabetic medications used in Qatar. A randomised controlled trial in which the intervention group patients (n = 66) received the customised CMI with usual care, while the control group patients (n = 74) received usual care only, was conducted. Self-reported medication adherence and haemoglobin A1c (HbA1c ) were the primary outcome measures. Glycaemic control and medication adherence parameters were measured at baseline, 3 months, and 6 months in both groups. Medication adherence was measured using the 8-item Morisky Medication Adherence Scale (MMAS-8).
RESULTS: Although the addition of CMI resulted in better glycaemic control, this did not reach statistical significance, possibly because of the short-term follow-up. The median MMAS-8 score improved from baseline (6.6 [IQR = 1.5]) to 6-month follow-up (7.0 [IQR = 1.00]) in the intervention group. In addition, there was a statistically significant difference between the intervention and the control groups in terms of MMAS-8 score at the third visit (7.0 [IQR = 1.0]) vs 6.5 (IQR = 1.25; P-value = .010).
CONCLUSION: CMI for anti-diabetic medications when added to usual care has the potential to improve medication adherence and glycaemic control among patients with type 2 diabetes. Therefore, providing better health communication and CMI to patients with diabetes is recommended.
AIM: To explore patients' insights into unused medications during the COVID-19 outbreak.
MATERIALS AND METHODS: Semi-structured interviews were conducted with 30 patients attending various public and private healthcare facilities in Qatar between January and July 2021. A thematic analysis approach was utilized, with 2 researchers independently analyzing, comparing, and discussing the coding. The resulting themes were further discussed in research group meetings until a consensus was reached.
RESULTS: Seven themes emerged: awareness of unused medications and their impacts on health, economy, and the environment; barriers contributing to nonadherence/unused medications; sources of medications; factors facilitating medication use; patients' behaviors toward donated medications/reuse; patients' awareness of medication storage requirements; and patients' desire to appropriately dispose of unused medications.
CONCLUSION: The COVID-19 outbreak disrupted medication supply and adherence, resulting in an increase in unused medications and inappropriate disposal. Adherence is crucial for improving patients' health and preserving medications. Implementing mail-return systems for unused medications could be a viable solution during disease outbreaks.
STUDY DESIGN: A cross-sectional survey using a pretested questionnaire was performed between February 2020 and October 2020. Descriptive statistics, Man Whitney U, and Kruskal-Wallis Rank-Sum tests were applied. The Chi square test assessed the association between socio-demographic characteristics and KAP scores. Characteristics that were found significantly associated with KAP (i.e., p-values <0.05) were further included as predictor variables in the multiple linear regression model.
RESULTS: All items pertaining to patients' knowledge were found to be good (mean score > 3), except for "awareness of unwanted medication return policy" (mean score < 3), i.e., the lowest level of patient agreement (31 %) (median (M) = 3, Interquartile Range (IQR) = 3). Their attitude was generally good (mean score > 3). Conversely, their practice toward medication supply was poor (mean score < 3). Possible future use was the most reported reason (79 %) for keeping medications at home, and home trash was the most widely disposing place of unused ones (76 %). Knowledge was significantly higher among non-laborers and other occupations than among patients with no work (p