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.
OBJECTIVE: This study was looking at the acceptance towards using social network information system among public health workers.
MATERIALS AND METHOD: This study was done on 205 Malaysian One Health University Network (MyOHUN) members through email and physical survey.
RESULTS: Results show that 62.4% public health workers accepted the use technology. The acceptance was shown to be associated with performance expectancy (p<0.05). However, unlike the very famous Unified Theory of Acceptance and Use of Technology (UTAUT) model, the acceptance of social network information system was not associated with effort expectancy, social factors, facilitating conditions and socio-demographic factors. Therefore, it is suggested that social network information system be developed by the authorities in Malaysia, and be developed in a way that the system could strongly increase performance in detection of outbreak earlier than the current normal pathways. As such the system to be accepted and used, it must be sensitive, specific and be able to detect influenza outbreak early CONCLUSION: The development of social network information system is feasible as it is highly accepted and it's potential to improve early detection of influenza outbreak.
METHOD: National policies related to AAPS were reviewed using data from the Global Information System on Alcohol and Health, following the framework of the WHO Global Strategy to reduce the harmful use of alcohol. The policy review was supplemented with data from corporate annual reports, press releases, four databases of academic literature, market research from Euromonitor International, and news articles.
RESULTS: Four TACs--Carlsberg, Diageo, Heineken, and San Miguel--have been expanding operations in Southeast Asia by setting up new breweries, acquiring local alcohol companies as subsidiaries, and entering into joint ventures. In contrast, policies for regulating AAPS vary across Southeast Asia and range from nonexistent to strong control of AAPS. There is strong control of AAPS in countries with existing legislation ranging from a complete ban (Brunei) to almost comprehensive bans (Indonesia, Myanmar, Laos) and partial bans (Thailand). Nonexistent to weak control of AAPS is observed in the Philippines, Singapore, Cambodia, Malaysia, and Vietnam, which mostly rely on voluntary regulation.
CONCLUSIONS: The study's findings point to the growing power of TACs in the region and call for the need for stronger measures based on scientific evidence of effectiveness that are implemented without interference from commercial interests.