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.
METHODS: The National Health and Morbidity Survey 2019, a cross-sectional nationwide household survey that focused on non-institutionalised Malaysians, provided the data for this study on adults in Malaysia who were 18 years of age and older. A two-stage stratified random sampling technique was employed to ensure national representativeness. Data was collected using a multilingual (Malay and English), structured, and validated questionnaire via face-to-face interviews from July to October 2019. The dependent variable was oral healthcare seeking behavior (sought oral healthcare and self-medication). Independent variables were predisposing, enabling and health needs factor based on Andersen's Behavioral Model. Descriptive statistics were used to describe the characteristics and oral healthcare seeking behavior of the respondents. The relationship between the independent and dependent variables were investigated using multivariable logistic regression analysis.
RESULTS: The analysis comprised a total of 10,134 respondents, representing about 18.2 million Malaysian adults aged 18 and above. The overall prevalence of Malaysian adults who self-reported dental problems was low (5.5%) and was slightly higher in the rural than urban population. Almost half sought treatment from healthcare practitioners, and almost a quarter self-medicated. Ethnicity was associated with seeking healthcare and self-medication among urban dwellers. Among the rural population, income level was associated with seeking healthcare while education level was associated with self-medication.
CONCLUSION: Disparities in oral healthcare seeking behaviors exist between Malaysians living in urban and rural areas. Future policies should adopt focused strategies that concentrate on oral healthcare accessibility and health literacy of the vulnerable and rural populations to achieve the best oral healthcare for this population group.
RESULTS: Out of 339 participants, 24.8% (95% CI 20.21-29.30) fell into the normal nutritional status range; 49.6% (95% CI 44.29-54.91) were at risk for malnutrition while 24.8% (95% CI 20.21-29.30) were in the malnourished range, based on Mini Nutritional Assessment scores. Our findings revealed that belonging to a Dalit community, being unemployed, having experience of any form of mistreatment, lack of physical exercise, experiencing problems with concentration in past 30 days and taking medication for more than one co-morbidity was significantly associated with the malnutrition status of the elderly.