Obesity is one of the factors associated with cognitive impairment. However, obesity may differently affect cognitive function in different age groups, and scarce data are available from low- and middle-income countries. This cross-sectional study aimed to identify the association between obesity and cognitive impairment among 143 elderly individuals in Yogyakarta. We recorded the sociodemographic factors and some comorbidities, also measured the body mass index as a parameter of obesity, cognitive function using Montreal Cognitive Assessment—Indonesia, mood condition and depression status using geriatric depression scale-short form, as well as the daily life function using Activity of Daily Living and Instrumental Activity of Daily Living. After adjustment for the sociodemographic and comorbidities, we found that subjects with older age were more likely to have cognitive impairment (odds ratio [OR] 3.544, 95%CI: 1.36–9.22, p < 0.01) and compared with elderly individuals with normal weight, obese elderly individuals were 40% less likely to have cognitive impairment (OR 0.604, 95%CI: 0.39–0.95, p < 0.05). This study suggests that obesity in elderly individuals is less frequently associated with cognitive impairment. These findings support the reverse causation mechanism related to body mass index (BMI) and cognitive impairment in low/middle-income countries.

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Background: Global COVID-19 outbreaks in early 2020 have burdened health workers, among them surveillance workers who have the responsibility to undertake routine disease surveillance activities. The aim of this study was to describe the quality of the implementation of Indonesia’s Early Warning and Response Alert System (EWARS) for disease surveillance and to measure the burden of disease surveillance reporting quality before and during the COVID-19 epidemic in Indonesia. Methods: A mixed-method approach was used. A total of 38 informants from regional health offices participated in Focus Group Discussion (FGD) and In-Depth Interview (IDI) for informants from Ministry of Health. The FGD and IDI were conducted using online video communication. Yearly completeness and timeliness of reporting of 34 provinces were collected from the application. Qualitative data were analyzed thematically, and quantitative data were analyzed descriptively. Results: Major implementation gaps were found in poorly distributed human resources and regional infrastructure inequity. National reporting from 2017–2019 showed an increasing trend of completeness (55%, 64%, and 75%, respectively) and timeliness (55%, 64%, and 75%, respectively). However, the quality of the reporting dropped to 53% and 34% in 2020 concomitant with the SARS-CoV2 epidemic. Conclusions: Report completeness and timeliness are likely related to regional infrastructure inequity and the COVID-19 epidemic. It is recommended to increase report capacities with an automatic EWARS application linked systems in hospitals and laboratories.

This study attempted to examine individual- and community-level factors that contribute to pregnancy-related health behaviors among Indonesian women. This study used representative nationwide survey samples from the Indonesian Demographic Health Survey in the years 2007 (N = 15 193), 2012 (N = 14 431), and 2017 (N = 14 797). Generalized linear mixed models were constructed in the multivariate analyses. We found that women’s educational level, household wealth index, insurance status, access to health facilities, geographic location, general health condition, and pregnancy intentions were significantly associated with different outcome behaviors. Regarding community-level influences, women who lived in communities with a high proportion of educated women and high household wealth were more likely to have skilled birth attendance during childbirth compared with their counterparts in 2007. The similar pattern of results was also found in 2012 and 2017. The findings of this study suggest that future policies should focus on both individual- and community-level factors to improve women’s pregnancy-related behaviors.

Background: The increasing rates of Caesarean section (CS) beyond the WHO standards (10–15%) pose a significant global health concern.Objective: Systematic review and meta-analysis to identify an association between CS history and maternal adverse outcomes for the subsequent pregnancy and delivery among women classified in Robson classification (RC).Search Strategy: PubMed/Medline, EbscoHost, ProQuest, Embase, Web of Science, BIOSIS, MEDLINE, and Russian Science Citation Index databases were searched from 2008 to 2018.Selection Criteria: Based on Robson classification, studies reporting one or more of the 14 adverse maternal outcomes were considered eligible for this review.Data Collection: Study design data, interventions used, CS history, and adverse maternal outcomes were extracted.Main Results: From 4,084 studies, 28 (n = 1,524,695 women) met the inclusion criteria. RC group 5 showed the highest proportion among deliveries followed by RC10, RC7, and RC8 (67.71, 32.27, 0.02, and 0.001%). Among adverse maternal outcomes, hysterectomy had the highest association after preterm delivery OR = 3.39 (95% CI 1.56–7.36), followed by Severe Maternal Outcomes OR = 2.95 (95% CI 1.00–8.67). We identified over one and a half million pregnant women, of whom the majority were found to belong to RC group 5.Conclusions: Previous CS was observed to be associated with adverse maternal outcomes for the subsequent pregnancies. CS rates need to be monitored given the prospective risks which may occur for maternal and child health in subsequent births.

Background: Public health emergencies require integration between multiple stakeholders in different sectors to monitor the situation and carry out an appropriate response. As a country with a large land area consisting of thousands of islands, Indonesia’s centralized Public Health Emergency Operation Center (PHEOC) system is currently unable to effectively contain diseases. A PHEOC system reform is required to accommodate Indonesia’s circumstances, particularly at the regional level. We have outlined potential models at the sub-national level for PHEOC based on existing evidence.Policy Options and Recommendations: Based on existing evidence of PHEOC models internationally, we have formulated three policy models for regional-level PHEOC. These models (the ad hoc agency model, the independent agency model, and the Province Health Office (PHO)-based model) entail different chains of command, and each has its own benefits.Conclusion: We recommend that the Ministry of Health in Indonesia adopt the third PHEOC policy model, in which the chain of command lies under the PHO. This is the most practical approach, as the PHO has the authority to mobilize units and access resources in response to imminent public health emergencies. Further training and capacity-building are required to support the PHO as the commander of the regional PHEOC.

The province of Nusa Tenggara Timur (NTT) in the eastern part of Indonesia is known for high maternal mortality ratios (MMRs) and neonatal mortality eates (NMRs). Sister Hospital is a multicenter program, which aims to lower MMRs and NMRs in the deprived areas of Indonesia by providing comprehensive emergency services for maternal and newborn care. In this study, we evaluated the impact of the Sister Hospital program on MMRs and NMRs in 2009–17. We used linear mixed-effects models to analyze the program’s effects. Study results suggested that in general, the Sister Hospital program reduced MMRs by 1.14/100 000 live births after adjusting for other sociodemographic factors. This study also found that the program effects varied by island, and the highest reduction in MMRs, were found on Sumba Island in which the log of MMRs decreased from 2.23 in 2009 to 2.01 in 2017. However, no effects on NMR outcomes by the program were found. These findings suggest that the Sister Hospital program can be a practical solution for lowering MMRs in rural Indonesia.

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