METHODS: Patients initiating cART between 2006 and 2013 were included. TI was defined as stopping cART for >1 day. Treatment failure was defined as confirmed virological, immunological or clinical failure. Time to treatment failure during cART was analysed using Cox regression, not including periods off treatment. Covariables with P < 0.10 in univariable analyses were included in multivariable analyses, where P < 0.05 was considered statistically significant.
RESULTS: Of 4549 patients from 13 countries in Asia, 3176 (69.8%) were male and the median age was 34 years. A total of 111 (2.4%) had TIs due to AEs and 135 (3.0%) had TIs for other reasons. Median interruption times were 22 days for AE and 148 days for non-AE TIs. In multivariable analyses, interruptions >30 days were associated with failure (31-180 days HR = 2.66, 95%CI (1.70-4.16); 181-365 days HR = 6.22, 95%CI (3.26-11.86); and >365 days HR = 9.10, 95% CI (4.27-19.38), all P < 0.001, compared to 0-14 days). Reasons for previous TI were not statistically significant (P = 0.158).
CONCLUSIONS: Duration of interruptions of more than 30 days was the key factor associated with large increases in subsequent risk of treatment failure. If TI is unavoidable, its duration should be minimised to reduce the risk of failure after treatment resumption.
METHODS/DESIGN: This is a randomized, single-blind, two-arm, controlled trial in patients with rheumatoid arthritis visiting outpatient rheumatology clinics in Karachi, Pakistan. We will enroll patients with established diagnosis of rheumatoid arthritis over 3 months. The patients would be randomized through a computer-generated list into the control group, i.e., usual care or into the intervention group, i.e., pharmaceutical care, in a ratio of 1:1, after providing signed written consent. The study will take place in two patient-visits over the course of 3 months. Patients in the intervention group would receive intervention from the pharmacist while those in the control group will receive usual care. Primary outcomes include change in mean score from baseline (week 0) and at follow up (week 12) in disease knowledge, adherence to medications and rehabilitation/physical therapy. The secondary outcomes include change in the mean direct cost of treatment, HRQoL and patient satisfaction with pharmacist counselling.
DISCUSSION: This is a novel study that evaluates the role of the pharmacist in improving treatment outcomes in patients with rheumatoid arthritis. The results of this trial could set the foundation for future delivery of care for this patient population in Pakistan. The results of this trial would be published in a peer-reviewed journal.
TRIAL REGISTRATION: ClinicalTrials.gov, NCT03827148 . Registered on February 2019.
METHODS/DESIGN: This is a prospective, parallel-design, two-treatment-group randomized controlled trial to evaluate the effectiveness and sustainability of MEDIHEALTH in improving medication adherence. Malay patients who have underlying T2DM, who obtain medication therapy at Petra Jaya Health Clinic and Kota Samarahan Health Clinic, and who have a moderate to low adherence level (8-item Morisky Medication Adherence Scale, Malaysian specific, score <6) were randomly assigned to the treatment group (MEDIHEALTH) or the control group. The primary outcome of this study is medication adherence level at baseline and 1, 3, 6 and 12 months post-intervention. The secondary outcomes are attitude, subjective norms, perceived behavioural control, intention and knowledge related to medication adherence measured at baseline and 1, 6 and 12 months post-intervention. The effectiveness and sustainability of the Program will be triangulated by findings from semi-structured interviews with five selected participants conducted 1 month after the intervention and in-depth interviews with two main facilitators and two managerial officers in charge of the Program 12 months after the intervention. Statistical analyses of quantitative data were conducted using SPSS version 22 and Stata version 14. Thematic analysis for qualitative data were conducted with the assistance of ATLAS.ti 8.
DISCUSSION: This study provides evidence on the effectiveness and sustainability of a structured group-based educational program that employs multiple theoretical grounding and a culturally sensitive approach in promoting medication adherence among Malays with underlying T2DM. Both the quantitative and qualitative findings of this study could assist in the future development of the Program.
TRIAL REGISTRATION: National Medical Research Register, NMRR-17-925-35875 (IIR). Registered on 19 May 2017. ClinicalTrials.gov, NCT03228706 . Registered on 25 July 2017.
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 prospective study was conducted among the caregivers of 443 child TB patients registered during the study. Caregivers of children were queried using a structured questionnaire consisting of sociodemographic and socio-economic factors and the role of healthcare workers during the treatment course. Risk factors for non-adherence were estimated using a logistic regression model.
RESULTS: In multivariate analysis, the independent variables that had a statistically significant positive association with non-adherence were male sex (adjusted odds ratio [AOR] 5.870 [95% confidence interval {CI} 1.99 to 17.29]), age ≥45 y (AOR 5.627 [95% CI 1.88 to 16.82]), caregivers with no formal education (AOR 3.905 [95% CI 1.29 to 11.79]), financial barriers (AOR 30.297 [95% CI 6.13 to 149.54]), insufficient counselling by healthcare workers (AOR 5.319 [95% CI 1.62 to 17.42]), insufficient counselling by health professionals (AOR 4.117 [95% CI 1.05 to 16.05]) and unfriendly attitude and poor support from healthcare professionals (AOR 11.150 [95% CI 1.91 to 65.10]).
CONCLUSIONS: Treatment adherence in the present study was 86% using the Morisky Green Levine Medication Adherence Scale and 90.7% using the visual analogue scale tool. Predictors of non-adherence need to be a focus and caregivers should be given complete knowledge about the importance of adherence to TB treatment.
Method: We used pharmacy dispensing data of 1461 eligible T2DM patients from public primary care clinics in Malaysia treated with oral antidiabetic drugs between January 2018 and May 2019. Adherence rates were calculated during the period preceding the HbA1c measurement. Adherence cut-off values for the following conditions were compared: adherence measure (MPR versus PDC), assessment period (90-day versus 180-day), and HbA1c target (⩽7.0% versus ⩽8.0%).
Results: The optimal adherence cut-offs for MPR and PDC in predicting HbA1c ⩽7.0% ranged between 86.1% and 98.3% across the two assessment periods. In predicting HbA1c ⩽8.0%, the optimal adherence cut-offs ranged from 86.1% to 92.8%. The cut-off value was notably higher with PDC as the adherence measure, shorter assessment period, and a stricter HbA1c target (⩽7.0%) as outcome.
Conclusion: We found that optimal adherence cut-off appeared to be slightly higher than the conventional value of 80%. The adherence thresholds may vary depending on the length of assessment period and outcome definition but a reasonably wise cut-off to distinguish good versus poor medication adherence to be clinically meaningful should be at 90%.