Indonesia's first suicide statistics profile: an analysis of suicide and attempt rates, underreporting, geographic distribution, gender, method, and rurality.

Background: Timely and accurate data are critical for effective suicide prevention. Indonesia-the fourth most populous country in the world-has limited data availability and thus, limited data-driven interventions. Through a national government partnership, we obtained critical non-public data for attempts and suicides that could be analysed for the first time in Indonesia's history. Methods: We obtained and analysed data from five sources from 2016 to 2021: police data, death registry data, a provincial survey, a sample registry system, and the WHO's Global Health Observatory (WHO GHO) data. Using these data, we estimated underreporting, identified provinces with the highest suicide and suicide attempt rates, assessed gender ratios, identified methods used, and compared urban and rural suicides. Findings: The analysis yielded an underreporting rate of 859.10% for suicides, while verbal autopsies and increased quality control only increased coverage from 12.80% to 51.40%. Provinces with the highest rates of suicide were Bali, Riau Islands, Special Region of Yogyakarta, Central Java, and Central Kalimantan. Gender analysis revealed a ratio of 1: 2.11 for female to male suicides. Suicide methods analysis revealed that hanging and self-poisoning were the most used method, and rural suicides occurred at a rate 4.47 times higher than urban suicides. Interpretation: The analysis revealed the highest underreporting rate in the literature from a national sample and vast heterogeneity among provinces with high suicide rates-including provinces with strong mystic beliefs, suggesting the need for a culturally sensitive sub-national tailored approach. Through our study, we provide critical information which will allow for data-driven suicide prevention. Funding: The data collection for this was part of a project funded by the Australian Department of Foreign Affairs and Trade, Australian-Indonesian Institute (AII2020322).

Implementation research for developing Civil Registration and Vital Statistics (CRVS) Systems: lessons from Indonesia.

Civil Registration and Vital Statistics (CRVS) systems are the optimal source for data on births, deaths and causes of death for health policy, programme evaluation and research. In Indonesia, indicators such as life expectancy at birth, childhood and maternal mortality rates and cause-specific death rates need to be routinely monitored for national health policy. However, the CRVS system is not yet producing reliable vital statistics, which creates a challenge for evidence-based health action. In 2019, the Indonesian government released a national strategy for the CRVS system, with targets for improved coverage and data quality by 2024. This article describes findings from a programme of formative and implementation research to guide the application of the national strategy. At first, a detailed CRVS assessment and gap analysis were undertaken using an international framework. The assessment findings were used to develop a revised business process model for reporting deaths and their causes at village, subdistrict and district level. In addition, a field instruction manual was also developed to guide personnel in implementation. Two field sites in Java-Malang District and Kudus Regency were selected for pilot testing the reporting procedures, and relevant site preparation and training were carried out. Data compilations for Malang in 2019 and Kudus in 2020 were analysed to derive mortality indicators. High levels of death reporting completeness (83% to 89%) were reported from both districts, along with plausible cause-specific mortality profiles, although the latter need further validation. The study findings establish the feasibility of implementing revised death reporting procedures at the local level, as well as demonstrate sustainability through institutionalisation and capacity building, and can be used to accelerate further development of the CRVS system in Indonesia.

The Effort to Rationalize Antibiotic Use in Indonesian Hospitals: Practice and Its Implication.

An effective strategy for combatting AMR in Indonesia is to make the use of antibiotics in hospitals more rational with the help of an Antimicrobial Resistance Control Program (AMR-CP). This study aims to analyze the implementation of the AMR-CP in hospitals by conducting in-depth interviews with health professionals from ten hospitals and health officers of ten provincial health offices in ten different provinces and observation towards its documents. The sample location was selected by purposive sampling. Informants at the hospitals were hospital directors, chairmen of the AMR-CP team, chairmen of the medical committee, persons in charge of the microbiology laboratory, clinicians, nurses, clinical pharmacists, and those program managers at the provincial health offices who are responsible for administering antibiotics. Information is first collected and then a thematic analysis is applied along with triangulation to confirm the validity of information from multiple sources, including document observation results. The analysis is adapted to the framework of the system (i.e., input, process, and output). Results show that hospitals in Indonesia already have the resources to implement AMR-CP, including AMR-CP team and microbiology laboratories. Six hospitals examined also have clinicians trained in microbiology. Though hospital leadership and its commitment to implementing AMR-CP are favorable, there is room for improvement. AMR-CP teams organize routine activities for socialization and training, develop standard operating procedures (SOPs) for antibiotic use, antibiotic patterns surveillance, and bacterial mapping. Some obstacles to implementing AMR-CP policies are posed by the human resources, facilities, budget, antibiotics and reagent shortages, and clinician compliance with SOPs. The study concludes that there was an improvement in antibiotic sensitivity patterns, rational use of antibiotics, use of microbiological laboratories, and cost-efficiency. It recommends the government and healthcare providers continue to improve AMR-CP in hospitals and promote AMR-CP policy by making the regional health office of the hospital a representative of the regional government.

Infection prevention and control in Indonesian hospitals: identification of strengths, gaps, and challenges.

BACKGROUND: Infection prevention and control (IPC) in hospitals is key to safe patient care. There is currently no data regarding the implementation of IPC in hospitals in Indonesia. The aim of this study was to assess the existing IPC level in a nationwide survey, using the World Health Organization (WHO) IPC assessment framework tool (IPCAF), and to identify strengths, gaps, and challenges. METHODS: A cross-sectional study was conducted from July to November 2021. Of all general hospitals in Indonesia, 20% (N = 475) were selected using stratified random sampling based on class (A, B, C and D; class D with a maximum of 50 beds and class A with ≥ 250 beds) and region. The IPCAF was translated into Indonesian and tested in four hospitals. Questions were added regarding challenges in the implementation of IPC. Quantitative IPCAF scores are reported as median (minimum-maximum). IPC levels were calculated according to WHO tools. RESULTS: In total, 355 hospitals (74.7%) participated in this study. The overall median IPCAF score was 620.0 (535.0-687.5). The level of IPC was mostly assessed as advanced (56.9% of hospitals), followed by intermediate (35.8%), basic (7.0%) and inadequate (0.3%). In the eastern region of the country, the majority of hospitals scored intermediate level. Of the eight core components, the one with the highest score was IPC guidelines. Almost all hospitals had guidelines on the most important topics, including hand hygiene. Core components with the lowest score were surveillance of healthcare-associated infections (HAIs), education and training, and multimodal strategies. Although > 90% of hospitals indicated that surveillance of HAIs was performed, 57.2% reported no availability of adequate microbiology laboratory capacity to support HAIs surveillance. The most frequently reported challenges in the implementation of IPC were communication with the management of the hospitals, followed by the unavailability of antimicrobial susceptibility testing results and insufficient staffing of full-time IPC nurses. CONCLUSION: The IPC level in the majority of Indonesian hospitals was assessed as advanced, but there was no even distribution over the country. The IPCAF in combination with interviews identified several priority areas for interventions to improve IPC in Indonesian hospitals.

Evaluating the quality of evidence for diagnosing ischemic heart disease from verbal autopsy in Indonesia.

BACKGROUND: Mortality and cause of death data are fundamental to health policy development. Civil Registration and Vital Statistics systems are the ideal data source, but the system is still under development in Indonesia. A national Sample Registration System (SRS) has provided nationally representative mortality data from 128 sub-districts since 2014. Verbal autopsy (VA) is used in the SRS to obtain causes of death. The quality of VA data must be evaluated as part of the SRS data quality assessment. AIM: To assess the strength of evidence used in the assignment of Ischaemic Heart Disease (IHD) as causes of death from VA. METHODS: The sample frame for this study is the 4,070 deaths that had IHD assigned as the underlying cause in the SRS 2016 database. From these, 400 cases were randomly selected. A data extraction form and data entry template were designed to collect relevant data about IHD from VA questionnaires. A standardised categorisation was designed to assess the strength of evidence used to infer IHD as a cause of death. A pilot test of 50 cases was carried out. IBM SPSS software was used in this study. RESULTS: Strong evidence of IHD as a cause of death was assigned based on surgery for coronary heart disease, chest pain and two out of: sudden death, history of heart disease, medical diagnosis of heart disease, or terminal shortness of breath. More than half (53%) of the questionnaires contained strong evidence. For deaths outside health facilities, VA questionnaires for male deaths contained acceptable evidence in significantly higher proportions as compared to those for female deaths. (P < 0.001). Nearly half of all IHD deaths were concentrated in the 50-69 year age group (48.40%), and a further 36.10% were aged 70 years or more. Nearly two-thirds of the deceased were male (58.40%). Smoking behaviour was found in 44.11% of IHD deaths, but this figure was 73.82% among males. CONCLUSION: More than half of the VA questionnaires from the study sample were found to contain strong evidence to infer IHD as the cause of death. Results from medical records such as electrocardiograms, coronary angiographies, and load tests could have improved the strength of evidence and contributed to IHD cause of death diagnosis.

Building Capacity for Mortality Statistics Programs: Perspectives from the Indonesian Experience.

Information on deaths by age, sex, and cause are primary inputs for health policy and epidemiological research. Currently, most developing countries lack efficient death registration systems that generate these data on a routine and timely basis. The global community is promoting initiatives to establish and strengthen national mortality statistics programs across the developing world. Building human, technical, and institutional capacity to operate these programs are essential elements for the program. In Indonesia, the government has established a national Sample Registration System (SRS) covering a population of 9 million and is looking toward further scaling up of operations of the mortality statistics program in conjunction with expansion of the national Civil Registration and Vital Statistics (CRVS) systems. This article reports the theoretical and practical perspectives gained from experiences in developing human capacity in the Indonesian context. These perspectives are described in terms of the institutional, personnel, and functional components of the program for collection, compilation, analysis, and utilisation of mortality and cause of death data. The article also describes the challenges and potential solutions for implementing capacity building activities at national and subnational level. In conclusion, the need for and availability of training resources are discussed, including the potential for involvement of public health academia and international collaborations within a research framework on program management, quality evaluation, and data utilisation. Adequate attention to capacity building is essential to ensure the success and sustainability of national mortality statistics programs.