{"title":"Spatial autocorrelation of stunting prevalence among children under five years in West Bandung Regency in 2022","authors":"Minawati, Indang Trihandini, Tiopan Sipahutar, Syefira Salsabila","doi":"10.22146/bkm.v40i01.11645","DOIUrl":"https://doi.org/10.22146/bkm.v40i01.11645","url":null,"abstract":"Purpose: This study aims to determine whether there is spatial autocorrelation based on the prevalence of stunting and their spatial diffusion pattern. It also aims to find areas that will become stunting hotspots and cold spots area in West Bandung Regency in 2022. \u0000Method: This research employed an ecological study design using spatial analysis to estimate and analyze the distribution pattern of stunting prevalence in the West Bandung Regency in 2022. The data used results from a child monitoring record in Posyandu (Integrated Service Post) carried out by the West Bandung Regency Health Office regarding the prevalence of stunting among children under five years. This study used Moran Index and Local Indicators Autocorrelation (LISA) for spatial pattern analysis. \u0000Results: This study shows that there is negative spatial autocorrelation, or the distribution of stunting prevalence forms a random pattern (I<E). This study also indicates that there is statistically no spatial correlation between sub-district areas based on stunting prevalence in West Bandung Regency in 2022 (p-value > 0,05). There is no hotspot and cold spot area of stunting in West Bandung Regency in 2022. \u0000Conclusion: The prevalence of stunting in West Bandung Regency in 2022 is not spatially related between sub-district areas, with a random or scattered pattern. The area that is the main priority for intervention is Saguling Subdistrict, the subdistrict with the highest prevalence of stunting. The intervention program implemented in Cililin Subdistrict can be implemented in Saguling Subdistrict to reduce stunting prevalence.","PeriodicalId":518484,"journal":{"name":"BKM Public Health and Community Medicine","volume":"137 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140529401","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
M. Puspitasari, M. Rahardja, Septi Nurhayati, I. M. Surbakti
{"title":"Regional disparity in age-related disability: toward healthy aging in Indonesia","authors":"M. Puspitasari, M. Rahardja, Septi Nurhayati, I. M. Surbakti","doi":"10.22146/bkm.v40i01.11647","DOIUrl":"https://doi.org/10.22146/bkm.v40i01.11647","url":null,"abstract":"Purpose: Maintaining functional ability and minimizing age-related disability of older adults are required to promote healthy aging. A supportive physical and social environment, in addition to individual variables, has a role in reducing the risk of age-related disability. Infrastructure development differs between Java-Bali and outer Java-Bali regions. This study aims to determine the extent to which the disability of older adults in Java-Bali and outer Java-Bali regions. \u0000Methods: This study is cross-sectional, using data from the 2020 National Socio-Economic Survey (SUSENAS) with 122.344 Indonesian older adults aged 60 and over. Disability is the outcome variable. The explanatory variable is regional disparity (Java-Bali and outer Java-Bali regions), which refers to where the older adults live. In addition, the control variables include age, sex, marital status, educational level, employment status, leisure activity, household wealth status, and self-rated health status (SRHS). A multivariate logistic regression statistical analysis is performed. \u0000Results: The outer Java-Bali region has a slightly greater prevalence of older adults with age-related disability than the Java-Bali region, with 28.8 and 22.9 percent, respectively. However, older adults living in the outer Java-Bali region are 1.63 times more likely (OR 1.63; 95% CI (1.58-1.68)) to have disability than those living in the Java-Bali region. Other socio-demographic variables are significantly associated with age-related disability. \u0000Conclusion: Living in the Java-Bali region increases the risk of age-related disability. Infrastructure development in the outer Java-Bali region needs to be improved so that older adults can experience healthy aging.","PeriodicalId":518484,"journal":{"name":"BKM Public Health and Community Medicine","volume":"56 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140529276","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Cold chain evaluation of the immunization program in Primary Health Centers in 2022","authors":"Adi Isworo, Pramono Giri Kiswoyo, Suharsono","doi":"10.22146/bkm.v40i01.7841","DOIUrl":"https://doi.org/10.22146/bkm.v40i01.7841","url":null,"abstract":"Purpose: The major challenges of vaccination programs are associated with the vaccine cold chain management in primary health centers that must be evaluated. This paper discusses how vaccine cold chain management can address the challenges of vaccination programs in primary health centers. Specifically, it examines how the vaccine chain is managed. \u0000Methods: The design of this observational study was cross-sectional. Evaluations assessed in this study include input aspects, output aspects, process aspects, and outcome aspects of vaccine chain management. Observation methods and direct interviews with the evaluated vaccine chain staff collected primary data. \u0000Results: Management of the vaccine chain has been carried out properly with the support of human resources or immunization personnel who are in accordance with their competence, based on research results, the management staff are diploma graduates in nursing and midwifery. The defrosting process is carried out for a certain period, as well as using vaccine carriers and ice flasks, which are still good for vaccine distribution. It is very important to pay attention to the supply of the number and type of vaccines for the next month's needs at the public health center. \u0000Conclusion: The three key factors that guide the vaccine cold chain are educated vaccine control staff, vaccine storage, and delivery equipment, and efficient vaccine control procedures.","PeriodicalId":518484,"journal":{"name":"BKM Public Health and Community Medicine","volume":"324 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140529387","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}