Kesehatan mental merupakan aspek penting dalam mewujudkan kesehatan yang menyeluruh. Namun di sebagian besar negara berkembang, masalah kesehatan mental belum diprioritaskan. Pandemi Coronavirus-19 (COVID-19) menjadikan kesehatan mental menjadi isu penting bagi dunia. Organisasi Kesehatan Dunia (WHO) mengidentifikasi kesehatan mental sebagai komponen integral dari penanggulangan COVID-19. Pandemi COVID-19 dengan transmisi penularan yang masif dan tingkat kematian yang tinggi menyebabkan masalah yang mengarah pada gangguan mental. Kebijakan kesehatan mental di Indonesia harus mengoptimalkan integrasi layanan kesehatan mental. Pendekatan berbasis masyarakat dapat memperluas cakupan pelayanan kesehatan mental pada masa Pandemi COVID-19. Pemerintah harus mengintegrasikan layanan kesehatan mental ke dalam layanan berbasis masyarakat sebagai cara untuk memastikan cakupan universal pelayanan kesehatan mental. Model pemberdayaan partisipatif dan bottom-up menjadi pilihan yang rasional, untuk mengatasi masalah sumber daya dan stigma sebagai penghalang keberhasilan program kesehatan mental di Indonesia.
Background: The Surabaya City Health Office report showed, the coverage of hygienic and healthy lifestyle in 2016 was 75.07%. In Rangkah Village, a total of 2,770 (11.84%) out of 23,390 families were monitored, and as many as 1,552 of them (56.03%) had applied hygienic and healthy lifestyle. Objective: This study identified the relationship between knowledge and attitude with the implementation of clean and healthy lifestyle in Rangkah Village. Method: This study deployed quantitative research with a cross-sectional design. As many as 249 people became the sample selected by using the cluster random sampling. The independent variables were knowledge of and attitudes towards hygienic and healthy lifestyle, while the dependent variable was hygiene and healthy lifestyle. The data were then processed with SPSS to identify whether there is a relationship among the variables observed. Results: Knowledge variable obtained P value of 0.014<α (0.05), meaning there is a relationship of knowledge with hygienic and healthy lifestyle. While attitude variable had P value of 0.082>α (0.05), suggesting that there is no relationship of attitudes with hygienic and healthy lifestyle. Conclusion: One of the factors which greatly influences hygienic and healthy lifestyle in the familiesis knowledge.
Introduction: The distribution of health workers in Indonesia raises an interesting discussion since Indonesia as an archipelagic country has a wide geography and challenges for fulfilling equitable health services.Aim: This study identified factors related to the distribution of doctors in provinces of Indonesia.Method: Advanced analysis of secondary data was done and obtained from the "Data and Information: Indonesian Health Profile in 2017". The units analyzed in this study were all 34 provinces in Indonesia. The variables analysed were the number of doctors, population, density, percentage of poor population, the number of hospitals, and the number of primary healthcare centers.Results: Variability in the number of doctors was very wide. The more the population is, the more attractive it is for doctors to conduct practices in the provinces. The denser the population is, the more doctors are interested to work in the provinces. It also figured out that doctors tend to opt to work in the provinces which have more hospitals and primary healthcare centers.Conclusions: Out of five independent variables studied, there were four variables related to the number of doctors distributed in the provinces. Population, density, the number of hospitals, and the number of primary healthcare centers were positively related to the number of doctors. The results of this study were important for doctor redistribution policy in Indonesia. Keywords: distribution analysis, doctor distribution, health resources management, health workers.
INTRODUCTION Despite having over 60 million smokers in 2018, Indonesia still lacks tobacco control measures, including an outdoor tobacco advertising ban. This study aimed to provide evidence on the visibility and hotspots of advertisements around educational facilities in a city without a ban. METHODS We collected data on the locations of outdoor tobacco advertisements and schools and universities in Surabaya city. We conducted buffer and hotspots analyses using ArcMap. Using Getis-Ord Gi* statistics, hotspot analysis identifies significant clusters with a high number of advertisements. RESULTS We found 307 large and medium-sized outdoor tobacco advertisements and 1287 educational facilities (1199 schools, 88 universities). Almost 80% of those advertisements (237 units) were just 300 m away (10-minute walk) from primary schools and high schools in the city. More than half of all schools (652) and two-thirds of all universities (59) were inside hotspots where there were statistically significant clusters with a high number of advertisements. These hotspots were more densely populated and more-deprived areas. CONCLUSIONS There was high visibility of large and medium-sized outdoor tobacco advertisements around educational facilities in the city without the ban.
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