METHODS: Participants in the HOPE 4 intervention group with baseline and 12 months of follow-up were included for analysis. They were divided into Every Visit (n=339) and
OBJECTIVE: This scoping review aims to provide an overview of interventions to improve the adherence level to medication of MDR-TB patients.
MATERIALS AND METHODS: A review of observational studies was conducted to discuss the accuracy, tolerability and ease of use of tonometers in measuring IOP in children with glaucoma. Three databases (PubMed, Web of Science, Scopus) were used in a scoping review. The data were synthesised using Rayyan AI. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines were used to guide this review.
RESULTS: A total of 11 articles were included in this review to describe the various interventions in MDR-TB treatment adherence. Psychological counselling or education intervention was the most popular intervention, and it significantly increased adherence levels among MDR-TB patients. Increased adherence level patients also reported by interventions with Medication Event Reminder Monitor (MERM), Video Directly Observed Therapy (VDOT), 30-day recall and Visual Analogue Scale (VAS), Financial Support, mHealth Application and directly observed therapy, short course (DOTS) and DOTS-Plus programs. However, we found that Electronic Dose Monitoring (EDM) device intervention has less effect on MDR-TB patients' adherence.
CONCLUSION: The recovery of patients can be facilitated through MDR-TB treatment adherence interventions. It is acknowledged that the studies included in this review exhibit heterogeneity, with a majority showing significant improvement. Therefore, further study was required to investigate the specific on developing highly personalised interventions tailored to specific population or context, as well as to assess the cost-effectiveness of such interventions.
METHODS: 71 patients from 18 facilities participated in the 8-week single-arm intervention study. GRVOTS mobile apps were installed in their mobile apps, and patients were expected to fulfill tasks such as providing Video Direct Observe Therapy (VDOTS) daily as well as side effect reporting. At 3-time intervals of baseline,1-month, and 2-month intervals, the number of VDOT taken, the Malaysian Medication Adherence Assessment Tool (MyMAAT), and the Intrinsic Motivation Inventory (IMI) questionnaire were collected. One-sample t-test was conducted comparing the VDOT video adherence to the standard rate of 80%. RM ANOVA was used to analyze any significant differences in MyMAAT and IMI scores across three-time intervals.
RESULTS: This study involved 71 numbers of patients from 18 healthcare facilities who showed a significantly higher treatment adherence score of 90.87% than a standard score of 80% with a mean difference of 10.87(95% CI: 7.29,14.46; p
METHODS: We chose a double-blinded pragmatic randomized-controlled with factorial design for this investigation. The trial is going to recruit 1648 hypertensive patients with coronary artery disease at the age of 21 to 70 years. All participants will already be on anti-hypertensive medication and own a smartphone. They will be randomized into four groups with each having 412 participants. The first group will only receive standard care; while the second group, in addition to standard care, will receive monthly Ed-counselling (educational booklets with animated infographics and peer counseling); the third group will receive daily written and voice reminders and an education-led video once weekly together with standard care; while the fourth one gets both interventions given to second and third groups respectively. All groups will be followed-up for 1 year (0, 6, and 12 months). The primary outcome will be the change in systolic blood pressure while secondary outcomes include health-related quality of life and changes in medication adherence. For measuring changes in systolic blood pressure (SBP) and adherence scores difference at 0, 6, and 12 months between and within the group, parametric (ANOVA/repeated measure ANOVA) and non-parametric tests (Kruskal-Wallis test/Friedman test) will be used. By using the general estimating equation (GEE) with negative binomial regression, at 12 months, the covariates affecting primary and secondary outcomes will be determined and controlled. The analysis will be intention-to-treat. All the outcomes will be analyzed at 0, 6, and 12 months; however, the final analysis will be at 12 months from baseline.
DISCUSSION: Besides adding up to existing evidence in the literature on the subject, our designed modules using mHealth technology can help in reducing hypertension-related morbidity and mortality in developing countries.
METHODS: This study utilized the scoping review methodology of the Joanna Briggs Institute Reviewers' Manual 2015. Articles on pharmacist-led diabetes management focusing on the service content, delivery methods, settings, frequency of appointments, collaborative work with other healthcare providers, and reported outcomes were searched and identified from four electronic databases: Ovid Medline, PubMed, Scopus, and Web of Science from 1990 to October 2020. Relevant medical subject headings and keywords, such as "diabetes," "medication adherence," "blood glucose," "HbA1c," and "pharmacist," were used to identify published articles.
RESULTS: The systematic search retrieved 4,370 articles, of which 61 articles met the inclusion criteria. The types of intervention strategies and delivery methods were identified from the studies based on the description of activities reported in the articles and were tabulated in a summary table.
CONCLUSION: There were variations in the descriptions of intervention strategies, which could be classified into diabetes education, medication review, drug consultation/counseling, clinical intervention, lifestyle adjustment, self-care, peer support, and behavioral intervention. In addition, most studies used a combination of two or more intervention strategy categories when providing services, with no specific pattern between the service model and patient outcomes.
OBJECTIVE: With the growing body of evidence supporting the use of eHealth interventions, the intention is to conduct a meta-analysis on various health outcomes of eHealth interventions among ischaemic heart disease (IHD) patients.
METHODS: Based on PRISMA guidelines, eligible studies were searched through databases of Web of Science, Scopus, PubMed, EBSCOHost, and SAGE (PROSPERO registration CRD42021290091). Inclusion criteria were English language and randomised controlled trials published between 2011 to 2021 exploring health outcomes that empower IHD patients with eHealth interventions. RevMan 5.4 was utilised for meta-analysis, sensitivity analysis, and risk of bias (RoB) assessment while GRADE software for generating findings of physical health outcomes. Non-physical health outcomes were analysed using SWiM (synthesis without meta-analysis) method.
RESULTS: This review included 10 studies, whereby, six studies with 895 participants' data were pooled for physical health outcomes. Overall, the RoB varied significantly across domains, with the majority was low risks, a substantial proportion of high risks and a sizeable proportion of unclear. With GRADE evidence of moderate to high quality, eHealth interventions improved low density lipoprotien (LDL) levels in IHD patients when compared to usual care after 12 months of interventions (SMD -0.26, 95% CI [-0.45, -0.06], I2 = 0%, p = 0.01). Significance appraisal in each domain of the non-physical health outcomes found significant findings for medication adherence, physical activity and dietary behaviour, while half of the non-significant findings were found for other behavioural outcomes, psychological and quality of life.
CONCLUSIONS: Electronic Health interventions are found effective at lowering LDL cholesterol in long-term but benefits remain inconclusive for other physical and non-physical health outcomes for IHD patients. Integrating sustainable patient empowerment strategies with the advancement of eHealth interventions by utilising appropriate frameworks is recommended for future research.
METHODS: A two-phase mixed-methods approach was used. Phase 1 involved qualitative interviews with hypertensive patients from two health clinics in Kuala Lumpur, Malaysia. The themes extracted from these interviews were used to generate items for the MAANS. In Phase 2, data from 213 participants were analysed using exploratory factor analysis (EFA) to establish the scale's factor structure, thereby created the modified version of the MAANS. Confirmatory factor analysis (CFA) was then conducted on a separate dataset of 205 participants to confirm the factor structure, resulted in the final version of the MAANS. The reliability of the final MAANS version was assessed using Cronbach's alpha coefficient. The MAANS scores were used to predict subscales of the Malay version of the WHO Quality-of-Life (QOL) BREF, demonstrating the scale's predictive validity.
RESULTS: Ten qualitative interviews yielded 73 items. The EFA produced a modified MAANS with 21 items grouped into five factors. However, the CFA retained three factors in the final scale: Perceived Non-Susceptibility, Poor Doctor-Patient Relationship, and Unhealthy Lifestyle. The final 14-item, 3-factor MAANS demonstrated moderate reliability (Cronbach's alpha coefficient = 0.64) and exhibited partial predictive validity, with the Poor Doctor-Patient Relationship and Unhealthy Lifestyle subscales significantly predicting Social QOL and Environmental QOL.
CONCLUSION: The MAANS is a reliable, valid, and multidimensional scale specifically developed to evaluate non-adherence to anti-hypertensive medications in local clinical settings with the potential to further the advancement of research and practice in sociomedical and preventive medicine.
METHODOLOGY: The study used a prospective follow-up mix methodology approach with six-month follow-ups of patients. The participants included in the study population were those with chronic kidney disease grade 4 and kidney failure. Pre-validated and translated questionnaires (Kidney Disease Quality of Life-Short Form, Hamilton Depression Rating Scale Urdu Version, and Morisky Lewis Greens Adherence Scale) and assessment tools were used to collect data.
RESULTS: This study recruited 314 patients after an initial assessment based on inclusion criteria. The mean age of the study population was 54.64 ± 15.33 years. There was a 47.6% male and a 52.4% female population. Hypertension and diabetes mellitus remained the most predominant comorbid condition, affecting 64.2% and 74.6% of the population, respectively. The study suggested a significant (p < 0.05) deterioration in the mental health composite score with worsening laboratory variables, particularly hematological and iron studies. Demographic variables significantly impact medication adherence. HRQOL was found to be deteriorating with a significant impact on mental health compared to physical health.
CONCLUSIONS: Patients on maintenance dialysis for kidney failure have a significant burden of physical and mental symptoms, depression, and low HRQOL. Given the substantial and well-known declines in physical and psychological well-being among kidney failure patients receiving hemodialysis, the findings of this research imply that these areas related to health should receive special attention in the growing and expanding population of kidney failure patients.
METHOD AND DESIGN: This pre-post study will be conducted prospectively among patients with ESRD who have been on dialysis at the Hemodialysis Unit, Hospital Kuala Lumpur and the Hemodialysis Affiliated Centers of the University Malaya Medical Centre, from August 2020 till August 2021. Medication adherence will be assessed using the General Medication Adherence Scale (GMAS), whilst patients' HRQOL will be assessed using the Kidney Disease Quality of Life Short Form 36 (KDQOL-36). Clinical parameters such as blood glucose level, calcium, phosphate, hemoglobin and serum low-density lipoprotein (LDL) levels will be obtained from medical records. A total of 70 patients will be recruited.
DISCUSSION: We hypothesize that the implementation of pharmacy-based MR and MI may expect an increase in medication adherence scores and increase in HRQOL scores from baseline as well as achieving the clinical lab parameters within the desired range. This would indicate a need for a pharmacist to be involved in the multidisciplinary team to achieve a positive impact on medication adherence among hemodialysis patients.
TRIAL REGISTRATION: Ethical approval has been obtained from the National Medical Research and Ethics Committee NMRR: 20-1135-54435 and Medical Research Ethics Committee, University Malaya Medical Centre MREC ID NO: 202127-9811.
METHODOLOGY: We conducted a bibliographic search of PubMed, Scopus and Google Scholar using the following keywords: "medication adherence," "drug compliance," "DMTAC" and "Malaysia." The search covered all publications up to 31 December 2021. Eligible articles were original studies conducted in Malaysia that measured or quantified medication adherence among persons with T2DM.
RESULTS: We identified 64 eligible studies published between 2008 to 2021. Most studies included patients with T2DM in ambulatory facilities. Five studies were qualitative research. The quantitative research publications included clinical trials, and cross-sectional, validation, retrospective and prospective cohort studies. Thirty-eight studies used medication adherence scales. The Morisky Medication Adherence Scale (MMAS-8, used in 20 studies) and Malaysian Medication Adherence Scale (MALMAS, used in 6 studies) were the most commonly used tools. There were 6 validation studies with 4 medication adherence scales. A meta-analysis of 10 studies using MMAS-8 or MALMAS revealed that the pooled prevalence of low medication adherence is 34.2% (95% CI: 27.4 to 41.2, random effects model). Eighteen publications evaluated various aspects of the Diabetes Medication Therapy Adherence Clinics (DMTAC).
CONCLUSION: This scoping review documented extensive research on medication adherence among persons with diabetes in Malaysia. The quantitative meta-analysis showed a pooled low medication adherence rate.
OBJECTIVE: To develop an adherence prediction model for CKD patients.
METHODS: This multi-centre, cross-sectional study was conducted in 10 tertiary hospitals in Malaysia using simple random sampling of CKD patients with ≥1 medication (sample size = 1012). A questionnaire-based collection of patient characteristics, adherence (defined as ≥80% consumption of each medication for the past one month), and knowledge of each medication (dose, frequency, indication, and administration) was performed. Continuous data were converted to categorical data, based on the median values, and then stratified and analysed. An adherence prediction model was developed through multiple logistic regression in the development group (n = 677) and validated on the remaining one-third of the sample (n = 335). Beta-coefficient values were then used to determine adherence scores (ranging from 0 to 7) based on the predictors identified, with lower scores indicating poorer medication adherence.
RESULTS: Most of the 1012 patients had poor medication adherence (n = 715, 70.6%) and half had good medication knowledge (n = 506, 50%). Multiple logistic regression analysis determined 4 significant predictors of adherence: ≤7 medications (constructed score = 2, p
METHODS: The translation of the English version of the valid 10-item TAI questionnaire into BM was followed by subjecting it to a series of tests establishing factorial, concurrent and known group validities. Concurrent validity was assessed through Spearman's rank correlation coefficient against pharmacy refill-based adherence scores. Known group validity was assessed by cross-tabulation against asthma symptom control and using chi-square test. The internal consistency of the test scale was determined by a test-retest method using Cronbach's alpha (α) value and intraclass correlation coefficients.
RESULTS: A total of 120 adult asthma patients participated in the study. A 2-factor structure was obtained and confirmed with acceptable fit indices; CFI, NFI, IFI, TLI >0.9 and, RMSEA was 0.08. The reliability of the scale was 0.871. The test-retest reliability coefficient for the total sum score was 0.832 (p 85%.
CONCLUSIONS: The scale successfully translated into BM and validated. The 10-item TAI-BM appears fit for use in testing inhaler adherence of Malaysian patients with asthma.