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: 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: Study within a trial of an international parallel group randomized controlled trial (RCT) that compares spironolactone to placebo. Adults receiving dialysis enter an 8-week active run-in period with spironolactone. Adherence was assessed by both self-report and pill counts in a subgroup of participants at both 3 weeks and 7 weeks.
RESULTS: 332 participants entered the run-in period of which 166 had complete data. By self-report, 146/166 (94.0%) and 153/166 (92.2%) had at least 80% adherence at 3 and 7 weeks respectively (kappa = 0.27 (95% C.I. 0.16 to 0.38). By pill counts, the mean (SD) adherence was 96.5% (16.1%) and 92.4% (18.2%) at 3 and 7 weeks respectively (r = 0.32) with a mean (SD) difference of 3.1% (17.8%) and a 95% limit of agreement from -31.7% to +37.9%. The proportion of adherent participants by self-report and pill counts at 3 weeks agreed in 87.4% of participants (McNemar's p-value 0.58, kappa 0.11, p = 0.02) and at 7 weeks agreed in 92.2% (McNemar's p-value 0.82, kappa 0.47, p
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
DESIGN: Randomized clinical trial with parallel-group design guided by the CONSORT checklist.
METHODS: In this study, sixty cardiovascular inpatients were selected through convenience sampling and then randomly assigned to control and intervention groups, in 2018, Iran. The intervention group took responsibility for consuming their prescribed medication according to the self-administration of medication programme and the control group took medications routinely. Medication adherence was measured one and two weeks after the discharge via telephonic follow-up by Morisky Medication Adherence Scale MMAS-8-item and nurses' satisfaction by researcher-made questioner.
RESULT: There was a higher medication adherence level in the intervention group rather than the usual care group at the follow-up. Most nurses in the study environment were very satisfied.
CONCLUSION: The self-administration of medication programme can effectively increase patients' medication adherence and nurses' satisfaction.