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.
METHOD: According to the reported practice address in 2018, the spatial distribution of health care facilities was mapped and explored using the GIS mapping techniques. The density of health care facilities was analyzed using thematic maps with hot spot analysis. Population to facility ratio was calculated using the projection of the population growth based on 2010 census data, which was the latest available in the year of analysis.
RESULTS: The study included geographical mapping of 7051 general practitioner clinics (GPC), 3084 community pharmacies (CP), 139 public general hospitals (GHs) and 990 public primary health clinics (PHC). The health care facilities were found to be highly dense in urban areas than in the rural ones. There were six districts that had no CP, 2 had no GPC, and 11 did not have both. The overall ratio of GPC, CP, GH, and PHC to the population was 1:4228, 1:10,200, 1:223,619 and 1:31,397, respectively. Should the coverage for minor ailment services in public health care clinics be extended to community pharmacies, the ratio of facilities to population for each district would be better with 1:4000-8000.
CONCLUSIONS: The distribution of health care facilities for minor ailment management in Malaysia is relatively good. However, if the scheme for minor ailments were available to community pharmacies, then the patients' access to minor ailments services would be further improved.
Aim: To determine the feasibility of a collaborative program between private general practitioners (GPs) and the public primary health clinics in PTB screening and to assess the yield of smear-positive PTB from this program.
Methods: A prospective cohort study using convenient sampling was conducted involving GPs and public health clinics in the North-East District, Penang, from March 2018 to May 2019. In this study, GPs could direct all suspected PTB patients to perform a sputum acid fast bacilli (AFB) direct smear in any of the dedicated public primary health clinics. The satisfaction level of both the GPs and their patients were assessed using a self-administered client satisfaction questionnaire. IBM SPSS Statistical Software was used to analyze the data.
Results: Out of a total of 31 patients who underwent the sputum investigation for PTB, one (3.2%) was diagnosed to have smear-positive PTB. Most of the patients (>90%) and GPs (66.7%) agreed to continue with this program in the future. Furthermore, most of the patients (>90%) were satisfied with the program structure.
Conclusion: It is potentially feasible to involve GPs in combating TB. However, a more structured program addressing the identified issues is needed to make the collaborative program a success.
Methods: This study was conducted as face-to-face, semi-structured interview. Respondents from private pharmaceutical industries, community pharmacists, general practitioners, private hospital pharmacists, governments, academicians and senior pharmacist were recruited using purposive sampling. Using phenomenological study approach, interviews were conducted, and audio recorded with their consent. Data were transcribed verbatim and analysed using thematic analysis with Atlas.ti 8 software and categorised as strengths, weaknesses, opportunities and threats (SWOT).
Results: A total of 28 respondents were interviewed. There was a mixed perception regarding the price transparency implementation in Malaysia's private healthcare settings. The potential strengths include it will provide price standardization, reduce price manipulation and competition, hence allowing the industry players to focus more on patient-care services. Moreover, the private stakeholders were concerned that the practice may affect stakeholders' business and marketing strategy, reduce profit margin, increase general practitioner's consultation fees and causing impact on geographical discrepancies. The practice was viewed as an opportunity to disseminate the truth price information to consumer and strengthen collaboration between healthcare industries and Ministry of Health although this may become a threat that affect the business survival.
Conclusion: Price transparency initiatives would benefit the pharmaceutical industries, consumer and countries, but it needs to be implemented appropriately to prevent price manipulation, market monopoly, and business closure. Future study may want to evaluate the impact of the initiatives on the business in the industry.
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.
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