BackgroundDengue is associated with significant economic expenditure and it is estimated that the Asia Pacific region accounts for >50% of the global cost. Indonesia has one of the world’s highest dengue burdens; Aedes aegypti and Aedes albopictus are the primary and secondary vectors. In the absence of local data on disease cost, this study estimated the annual economic burden during 2015 of both hospitalized and ambulatory dengue cases in Indonesia.MethodsTotal 2015 dengue costs were calculated using both prospective and retrospective methods using data from public and private hospitals and health centres in three provinces: Yogyakarta, Bali and Jakarta. Direct costs were extracted from billing systems and claims; a patient survey captured indirect and out-of-pocket costs at discharge and 2 weeks later. Adjustments across sites based on similar clinical practices and healthcare landscapes were performed to fill gaps in cost estimates. The national burden of dengue was extrapolated from provincial data using data from the three sites and applying an empirically-derived epidemiological expansion factor.ResultsTotal direct and indirect costs per dengue case assessed at Yogyakarta, Bali and Jakarta were US$791, US$1,241 and US$1,250, respectively. Total 2015 economic burden of dengue in Indonesia was estimated at US$381.15 million which comprised US$355.2 million for hospitalized and US$26.2 million for ambulatory care cases.ConclusionDengue imposes a substantial economic burden for Indonesian public payers and society. Complemented with an appropriate weighting method and by accounting for local specificities and practices, these data may support national level public health decision making for prevention/control of dengue in public health priority lists.

SUMMARYRoutine, passive surveillance systems tend to underestimate the burden of communicable diseases such as dengue. When empirical methods are unavailable, complimentary opinion-based or extrapolative methods have been employed. Here, an expert Delphi panel estimated the proportion of dengue captured by the Indonesian surveillance system, and associated health system parameters. Following presentation of medical and epidemiological data and subsequent discussions, the panel made iterative estimates from which expansion factors (EF), the ratio of total:reported cases, were calculated. Panelists estimated that of all symptomatic Indonesian dengue episodes, 57·8% (95% confidence interval (CI) 46·6–59·8) enter healthcare facilities to seek treatment; 39·3% (95% CI 32·8–42·0) are diagnosed as dengue; and 20·3% (95% CI 16·1–24·3) are subsequently reported in the surveillance system. They estimated most hospitalizations occur in the public sector, while ~55% of ambulatory episodes are seen privately. These estimates gave an overall EF of 5·00; hospitalized EF of 1·66; and ambulatory EF of 34·01 which, when combined with passive surveillance data, equates to an annual average (2006–2015) of 612 005 dengue cases, and 183 297 hospitalizations. These estimates are lower than those published elsewhere, perhaps due to case definitions, local clinical perceptions and treatment-seeking behavior. These findings complement global burden estimates, support health economic analyses, and can be used to inform decision-making.

Background: Reducing maternal mortality ratio (MMR) is a high priority public health issue in developing countries such as Indonesia. The current MMR in Indonesia is 126/100,000 live births. Optimum use of available healthcare facilities for delivery can avert maternal deaths. This study aimed to determine the factors associated with healthcare facility utilization for childbirth in Kuantan Singingi regency, Riau province, Indonesia 2017. Methods: We conducted a community-based cross-sectional study in 15 sub-districts of Kuantan Singingi regency from May-June 2017. We selected 320 mothers from 15 sub-districts who delivered in the last 3 months (February-April 2017). Trained data enumerators collected the relevant data by using a pre-tested semi-structured questionnaire. We used Cox regression analysis to determine the factors associated with delivery at healthcare facilities. Prevalence Ratio (PR) with a 95% confidence interval (CI) for childbirth at healthcare facilities was the key outcome measure. Results: Only 54.4% (174) of the 320 mothers delivered at healthcare facilities. Knowledge about pregnancy danger signs (PR = 1.59, 95%CI:1.15-2.2), attitude towards healthcare services (PR = 0.79, 95%CI:0.33-1.89), and access to health care services (PR = 0.39, 95%CI:0.18-0.84) were the dominant factors of childbirth at healthcare facilities. There was an interaction between attitude and access to healthcare influencing delivery at healthcare facilities. Conclusions: Utilization of healthcare facilities for childbirth was low in Kuantan Singingi regency. Knowledge of pregnancy danger signs was an independent correlate of childbirth at healthcare facilities. Also, the interaction between attitude and access to healthcare showed a significant influence on childbirth at healthcare facilities. We recommend strengthening of existing maternal and child health program with a particular emphasis on complete and quality antenatal care, health education on danger signs of pregnancy and childbirth, and promoting positive attitudes towards healthcare facilities.

Chronic kidney disease of unknown etiology (CKDu) in agricultural population is an increasing issue. This study aims to obtain a prevalence estimate of CKDu in male rice farmers in West Java, Indonesia; and analyze the relationship between CKDu and environmental and occupational factors. The study design was cross-sectional. This study included 354 healthy male farmers in two rice agriculture areas in West Java with different altitudes (low altitude and high-altitude location). This research included blood and urine sampling from the farmers for serum creatinine (SCr) level and proteinuria; questionnaire on demographic information, occupational factors and other risk factors for CKDu. We measured ambient temperature and humidity in both study locations for environmental factors. From SCr level and proteinuria, we categorized the farmers into five stages of CKD; then we distinguished CKDu from CKD if the farmers had stage 1–4 of CKD but without diabetes, hypertension and other traditional causes. Data were analyzed with multivariate logistic regression to get prevalence odd ratios of CKDu and its relationship with environmental and occupational factors, adjusted with other risk factors of CKDu. The overall prevalence of CKD was 24.9% and CKDu was 18.6%. For the environmental factors, farm location (high altitude versus low altitude location) was associated with CKDu (Prevalence Odds Ratio (POR): 2.0; 95% CI: 1.2–3.5). For the occupational factors, although not significant, the risk of CKDu increased with the longer use of insecticide and with the more frequent of insecticide use. We suggested that there was a need to conduct future research to investigate more on the association of those environmental and occupational factors with CKDu.

Penelitian ini menganalisis disparitas kematian maternal di Indonesia dengan analisis spasial menggunakan faktor intermediet seperti pelayanan kesehatan maternal, status reproduksi, sosial ekonomi dan demografi.Tujuan penelitian adalah menganalisis secara spasial disparitas kematian maternal, pengaruh dan risiko kematian maternal terhadap faktor intermediet, dan memberikan rekomendasi terhadap masalah kesehatan maternal di Indonesia. Penelitian ini menggunakan desain studi ekologi (studi agrerat), analisis spasial, bivariat, dan multivariat. Unit analisis penelitian adalah kabupaten/kota di seluruh Indonesia. Hasil penelitian menunjukkan terjadi disparitas kematian maternal yang diakibatkan kesenjangan faktor intermediet antara kabupaten/kota di Indonesia, dengan risiko kematian maternal tertinggi terjadi di wilayah Indonesia timur. Faktor yang paling mempengaruhi kematian maternal adalah kepadatan penduduk dengan OR: 0,283 (95%CI: 0,185-0,430) dan persalinan oleh tenaga kesehatan (PN) dengan OR: 1,745 (95%CI: 1,081-2,815). Risiko kematian maternal tinggi terjadi pada kabupaten/kota dengan cakupan kunjungan kehamilan keempat (K4) rendah, cakupan persalinan oleh tenaga kesehatan (PN) rendah, cakupan kunjungan nifas (KF) rendah, rata-rata jumlah anak tinggi, rata-rata lama sekolah wanita usia subur rendah, dan kemiskinan tinggi.