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Non-Communicable Diseases (NCDs) are the main cause of death in the world (74%), in Southeast Asia (55%) and even in Indonesia (73%). One of the government's efforts to prevent and control PTM is early detection of PTM risk factors through the UKBM program called Posbindu PTM. This research aims to explore in-depth information regarding the implementation of Posbindu PTM at the Madiun Health Center, Madiun Regency. This research was conducted qualitatively with a case study design. In-depth interview data collection techniques were carried out with PJ Posbindu PTM informants, Heads of Health Centers, Health Cadres, Health Services, Heads of Village Financial Affairs, while FGDs were carried out with Posbindu PTM participants in the Madiun Health Center area. Meanwhile, for secondary data, observations were made on facilities and infrastructure and documents reviewed on personnel and funding documents. The research results show components input For Posbindu PTM activities, funds, facilities, infrastructure and SOPs are available. However, the number of community health center officers is still limited and the role of health cadres is less than optimal. In components process, Posbindu PTM activities include risk factor interviews, anthropometric measurements, laboratory examinations, consultations and education or counseling as well as referrals if necessary. However, reporting activities are still not carried out optimally. On components output Problems were found, namely related to fund allocation, lack of community knowledge and lack of socialization by cadres and health center officers and the timing of implementation. Therefore, it is recommended for the health center to increase socialization of Posbindu PTM and carry out activities outside working hours. It is hoped that the Public Health office can ensure that the Posbindu Kit is provided on time, so pay more attention expired date BHP and increase its supervision. Then it is recommended that the village or sub-district government help motivate the community to come and increase the use of ADD for the health sector.
Kata kunci: Obesitas, Posbindu PTM, DKI Jakarta
Prevalence of obesity in DKI Jakarta Province is always above the national rate in every age group every year. This study aims to determine the frequency distribution of obesity and factors associated with obesity in participants Posbindu PTM age 15-64 years. The data used is secondary data, sample size 20161. This research is a quantitative research with cross sectional study design. The results of this study showed that the prevalence of obesity in this study was 57.1% which is a rough prevalence. The association relationship shows that there is a significant correlation between age variable, sex, marital status, physical activity, fruit and vegetable consumption, smoking status with obesity occurrence at Posbindu PTM participants. Where participants were more at risk of having age between 24-44 years (PR 1.92, 95% CI 1.39 to 2.64), female sex (PR 1.27, 95% CI 1.19 to 1.34) , married (PR 1.46, 95% CI 1.22-1.75), lack of physical activity (PR 0.94, 95% CI 0.089-0.99), lack of consumption of vegetables and fruits (PR 1 , 06; 95% CI 1.00 to 1.12), and who had a smoking habit (PR 0.77; 95% CI 0.71-0.83). This research is expected to be a consideration in the development of Posbindu PTM program as an effort to reduce obesity rate in DKI Jakarta Province.
Keywords: Obesity, Posbindu PTM, DKI Jakarta
Background: The existence of Posbindu PTM has become a place for activities to disseminate early detection efforts for type 2 diabetes in the community. The purpose of this study was to investigate the implementation of empowerment Posbindu PTM. Method: This study use a qualitative approach. It was found 11 informants from different backgrounds. Result: The implementation is still not optimal in reaching productive age communities. During in Covid 19 situation, the Posbindu PTM was stopped. Problems encountered in the readiness of input variables are the availability of inadequate human resources and uneven competence of cadres, limited operational funds, inadequate facilities and infrastructure, unavailability of technical instructions for cadres, and lack of support from government and private agencies. Then from the suitability of the process variables ranging from planning, organizing, actuation, control and evaluation still have to be maximized, namely by conducting cross-sectoral collaboration by maximizing the role of each party involved. At the achievement of the output indicator the quantity of Posbindu PTM has been running according to the guidelines, but the indicator coverage of risk factors for DM type 2 and referral coverage has not been achieved in accordance with the targets set by the Department of Health. Conclusion: The empowerment of Posbindu PTM in preventing type 2 DM has not run optimally. It is recommended that all parties involved to collaborate increase their respective roles in empowering Posbindu PTM to prevent DM type 2
