MATERIALS AND METHODS: A technology survey was completed by professionals (n = 36) attending O&M workshops in Malaysia. A revised survey was completed online by O&M specialists (n = 31) primarily in Australia. Qualitative data about technology use came from conferences, workshops and interviews with O&M professionals. Descriptive statistics were analysed together with free-text data.

RESULTS: Limited awareness of apps used by clients, unaffordability of devices, and inadequate technology training discouraged many O&M professionals from employing existing technologies in client programmes or for broader professional purposes. Professionals needed to learn smartphone accessibility features and travel-related apps, and ways to use technology during O&M client programmes, initial professional training, ongoing professional development and research.

Methods: This is a before-and-after study that took place in a tertiary Malaysian hospital. Discharge medications of patients ≥65 years old were reviewed to identify PIMs/PPOs using version 2 of the STOPP/START criteria. The prevalence and pattern of PIM/PPO before and after the intervention were compared. The intervention targeted the physicians and clinical pharmacists and it consisted of academic detailing and a newly developed smartphone application (app).

Results: The study involved 240 patients before (control group) and 240 patients after the intervention. The prevalence of PIM was 22% and 27% before and after the intervention, respectively (P = 0.213). The prevalence of PPO in the intervention group was significantly lower than that in the control group (42% Vs. 53.3%); P = 0.014. This difference remained statistically significant after controlling for other variables (P = 0.015). The intervention was effective in reducing the two most common PPOs; the omission of vitamin D supplements in patients with a history of falls (P = 0.001) and the omission of angiotensin converting enzyme inhibitor in patients with coronary artery disease (P = 0.03).

Methods: We searched seven databases up to July 2020 for randomized controlled trials investigating the effectiveness of telemedicine in the delivery of diabetes care in low- and middle-income countries. We extracted data on the study characteristics, primary end-points and effect sizes of outcomes. Using random effects analyses, we ran a series of meta-analyses for both biochemical outcomes and related patient properties.

Findings: We included 31 interventions in our meta-analysis. We observed significant standardized mean differences of -0.38 for glycated haemoglobin (95% confidence interval, CI: -0.52 to -0.23; I2 = 86.70%), -0.20 for fasting blood sugar (95% CI: -0.32 to -0.08; I2 = 64.28%), 0.81 for adherence to treatment (95% CI: 0.19 to 1.42; I2 = 93.75%), 0.55 for diabetes knowledge (95% CI: -0.10 to 1.20; I2 = 92.65%) and 1.68 for self-efficacy (95% CI: 1.06 to 2.30; I2 = 97.15%). We observed no significant treatment effects for other outcomes, with standardized mean differences of -0.04 for body mass index (95% CI: -0.13 to 0.05; I2 = 35.94%), -0.06 for total cholesterol (95% CI: -0.16 to 0.04; I2 = 59.93%) and -0.02 for triglycerides (95% CI: -0.12 to 0.09; I2 = 0%). Interventions via telephone and short message service yielded the highest treatment effects compared with services based on telemetry and smartphone applications.

METHODS: This randomized controlled trial was conducted at Montaserieh Hospital, Mashhad, Iran, involving 72 patients undergoing hemodialysis. Participants were randomly assigned to either the intervention group, receiving a custom-designed recreational therapy mobile app (including music, comedy, exercise, and educational content), or the control group, receiving standard care. The trial was registered with the Iranian Registry of Clinical Trials (IRCT20220803055608N1). Outcome assessors and statisticians were blinded to minimize bias. Sample size was calculated for an expected effect size of 0.90 with 80% power, resulting in 36 participants per group, adjusted for a 6% attrition rate. Depression levels were assessed using the Beck Depression Inventory-II (BDI-II) at baseline and after a 30-day intervention.

Objective: To determine the proportion of adults treated for localized melanoma who prefer the standard scheduled visit frequency (as per Australian guideline recommendations) or fewer scheduled visits (adapted from the Melanoma Follow-up [MELFO] study of reduced follow-up).

Design, Setting, and Participants: This survey study used a telephone interview for surveillance following excision of localized melanoma at an Australian specialist center. We invited a random sample of 400 patients who had completed treatment for localized melanoma in 2014 to participate. They were asked about their preferences for scheduled follow-up, and experience of follow-up in the past 12 months. Those with a recurrent or new primary melanoma diagnosed by the time of interview (0.8-1.7 years since first diagnosis) were asked about how it was first detected and treated. SSE practices were also assessed.

Main Outcomes and Measures: Proportion preferring standard vs fewer scheduled clinic visits, median delay between detection and treatment of recurrent or new primary melanoma, and SSE practices.

Results: Of the 262 people who agreed to be interviewed, the mean (SD) age was 64.3 (14.3) years, and 93 (36%) were women. Among the 230 people who did not have a recurrent or new primary melanoma, 149 vs 81 preferred the standard vs fewer scheduled clinic visits option (70% vs 30% after adjusting for sampling frame). Factors independently associated with preferring fewer visits were a higher disease stage, melanoma on a limb, living with others, not having private health insurance, and seeing a specialist for another chronic condition. The median delay between first detection and treatment of recurrent or new primary melanoma was 7 and 3 weeks, respectively. Only 8% missed a scheduled visit, while 40% did not perform SSE or did so at greater than 3-month intervals.