METHODS: A scoping review was carried out. The Google Play Store and Apple App Store were searched for mobile apps, using search terms derived from the UK Royal College of General Practitioners (RCGP) guideline on GPs' core capabilities and competencies. A manual search was also performed to identify additional apps.
RESULTS: The final analysis included 17 apps from the Google Play Store and Apple App Store, and 21 apps identified by the manual search. mHealth apps were found to have the potential to replace GPs for tasks such as recording medical history and making diagnoses; performing some physical examinations; supporting clinical decision making and management; assisting in urgent, long-term, and disease-specific care; and health promotion. In contrast, mHealth apps were unable to perform medical procedures, appropriately utilise other professionals, and coordinate a team-based approach.
CONCLUSIONS: This scoping review highlights the functions of mHealth apps that can potentially replace GP tasks. Future research should focus on assessing the performance and quality of mHealth apps in comparison with that of real doctors.
METHODS: Qualitative study using one-to-one semi-structured interviews conducted with 22 HCPs involved in the care of diabetic patients (6 endocrinologists, 4 general practitioners, 4 nurses and 8 pharmacists). Participants were recruited through general practices, community pharmacies and a diabetic centre in Saudi Arabia. Data were analyzed using thematic analysis.
RESULTS: Five key themes resulted from the analysis. HCPs generally demonstrated negative perceptions toward CAM, particularly regarding their evidence-based effectiveness and safety. Participants described having limited interactions with diabetic patients regarding CAM use due to HCPs' lack of knowledge about CAM, limited consultation time and strict consultation protocols. Participants perceived convenience as the reason why patients use CAM. They believed many users lacked patience with prescribed medications to deliver favourable clinical outcomes and resorted to CAM use.
CONCLUSIONS: HCPs have noted inadequate engagement with diabetic patients regarding CAM due to a lack of knowledge and resources. To ensure the safe use of CAM in diabetes and optimize prescribed treatment outcomes, one must address the communication gap by implementing a flexible consultation protocol and duration. Additionally, culturally sensitive, and evidence-based information should be available to HCPs and diabetic patients.
DESIGN: A 2 × 2 factorial, repeated-measures, open-label, randomized clinical trial.
SETTINGS: General medical practice offices in Muar, Malaysia.
PARTICIPANTS: Opioid-dependent individuals (n = 234).
INTERVENTIONS: Participants were randomly assigned to one of four treatment conditions and received study interventions for 24 weeks: (1) physician management with or without behavioral counseling and (2) physician management with or without abstinence-contingent buprenorphine-naloxone (ACB) take-home doses.
MEASUREMENTS: The primary outcomes were proportions of opioid-negative urine tests and HIV risk behaviors [assessed by audio computer-assisted AIDS risk inventory (ACASI-ARI)].
FINDINGS: The rates of opioid-negative urine tests over 24 weeks of treatment were significantly higher with [68.2%, 95% confidence interval (CI) = 65-71] than without behavioral counseling (59.2%, 95% CI = 56-62, P
METHODS: Medical claims records from February 2019 to February 2020 were extracted from a health insurance claims database. Data cleaning and data analysis were performed using Python 3.7 with the Pandas, NumPy and Matplotlib libraries. The top five most common diagnoses were identified, and for each diagnosis, the most common medication classes and medications prescribed were quantified. Potentially inappropriate prescribing practices were identified by comparing the medications prescribed with relevant clinical guidelines.
KEY FINDINGS: The five most common diagnoses were upper respiratory tract infection (41.5%), diarrhoea (7.7%), musculoskeletal pain (7.6%), headache (6.7%) and gastritis (4.0%). Medications prescribed by general practitioners were largely as expected for symptomatic management of the respective conditions. One area of potentially inappropriate prescribing identified was inappropriate antibiotic choice. Same-class polypharmacy that may lead to an increased risk of adverse events were also identified, primarily involving multiple paracetamol-containing products, non-steroidal anti-inflammatory drugs (NSAIDs), and antihistamines. Other areas of non-adherence to guidelines identified included the potential overuse of oral corticosteroids and oral salbutamol, and inappropriate gastroprotection for patients receiving NSAIDs.
CONCLUSIONS: While prescribing practices are generally appropriate within the private primary care sector, there remain several areas where some potentially inappropriate prescribing occurs. The areas identified should be the focus in continuing efforts to improve prescribing practices to obtain the optimal clinical outcomes while reducing unnecessary risks and healthcare costs.