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Background: Hypertensive disorders in pregnancy (HDP) are a leading contributor to maternal, fetal, and newborn death all over the world, including in Indonesia. Routine pregnancy check-ups and nutritional status can prevent pregnancy complications due to HDP. Objective: To increase health workers’ knowledge about the importance of blood pressure check-ups and adequate nutrition during multiple pregnancies. Methods: The PKM material was delivered through online seminars with 20 employees and their families at Asri Medical Center Hospital. The material provided included knowledge about women's health, multiple pregnancies, nutrition for pregnant women, as well as hypertension in pregnancy, and their management. Pretest and posttest was conducted. The analysis method used Wilcoxon Signed Rank test. Results: The analysis showed a 25% increase in knowledge from the results of the pretest of 75% to a total of 100% at the time of the posttest (p < 0.05), which suggests that there is a difference in the respondents’ knowledge levels about the importance of nutrition and examination of hypertension in multiple pregnancies. Conclusion: There is a significant difference in knowledge about the importance of nutrition and examination of hypertension in multiple pregnancies before and after the seminar at AMC Muhammadiyah Hospital.

ProblemThe Indonesian Healthcare Program starting in 2014 enabled access to healthcare delivery for large population groups. Guidance of usage, infrastructure and healthcare process development were the most challenging tasks during the implementation period. Due to the high social impact obstetric care and related quality assurance require evidence-based developmental strategies. This study aims for analysis of outcome and maternal health care utilization, as well as differences related to demographic and economic subgroups.MethodsFor univariate group comparison ANOVA method was applied and combined with Scheffé procedure and Bonferoni correction for post-hoc tests. Meanwhile, multivariate approaches through regression analysis based on insurance reimbursement data antenatal, perinatal and postnatal care were performed at the province level. Maternal mortality (MMR) and stillbirth rates were used for outcome. Demographic characteristics, availability of obstetricians (SPOG), midwifes and healthcare infrastructure were included for their determinants.ResultsSpecialized hospital facilities (type A/B) for advanced care covered a large part of uncomplicated cases (~35%). Differences between insurance membership groups (poor, non-poor) were not seen. Availability of human resources (SPOG, midwifes) (R2 = 0.728; pConclusionsImprovement of perinatal outcome should focus on sufficient referral processes, availability of SPOG in provinces dominated by rural/remote demography and avoidance of overtreatment by high C-section rates. It is very important to regulate the education of obstetricians and gynecologists in Indonesia as well as distribution arrangements regarding to solve the problems with pregnancy complications in remote and rural areas.

Summary: Background: A national healthcare insurance has been implemented in Indonesia since 2014. Although cancer care currently represents a smaller part of the healthcare support, the demographic development will lead to a rapid growth of the population within age groups at cancer risk. This requires strategic and developmental planning of cancer care resources. Based on data of the national healthcare insurance, current cancer care processes and their determinants were evaluated. Methods: Nationwide reimbursement data as well as demographic, economic and healthcare infrastructure data were used for the study. Poor and underserved population was stratified according to the national classification system. Availability of healthcare resources was evaluated at provincial level. Cancer care usage was analysed applying descriptive and multivariate statistical approaches (regression, cluster analysis, tree classification). Findings: Cancer care was provided in primary care (PHC) for 2.6/1000 and advanced care (AHC) for 4.8/1000 participants within the family-based membership structure. Regression analysis revealed human resource availability in rural/remote areas a determinant for cancer PHC. Cancer care in AHC was determined by PHC provided by general practitioners (GP), availability of AHC infrastructure (Class A & B hospital beds) and treatment migration between provinces. Tree classification confirmed predominant roles of GP, AHC infrastructure and referral between cancer care provider levels. Interpretation: Cancer care will gain much higher importance for the Indonesian healthcare system within the next decade. Infrastructure, human resources, and process development should avoid rising overload of cancer care delivery by targeting reduction of treatment migration (availability of GPs in rural/remote provinces), improvement of referral systems (effective clinical selection processes and back-referral) and AHC cancer care structures (regional distribution of Class A & B hospitals). Funding: This project was supported by grants from Centre for Research, Publication, and Community Development Muhammadiyah University of Yogyakarta (SW, ID), and data provision by BPJS Indonesia.

Introduction: Ovarian cancer is non-communicable diseases that has a high mortality rate. In PKU Muhammadiyah Teaching Hospital Yogyakarta in 2014-2017, ovarian cancer is 5th out of all types cancers diagnosed. Most of them are asymptomatic in early stage and come to hospital at late stage. Recognize and identify the risk factors of ovarian cancer are very important to prevent the patient from morbidity and mortality. The purpose of this study was to know the relationship between low parity, infertility, age, and family history with ovarian cancer in PKU Muhammadiyah Teaching Hospital Yogyakarta. Methods: This study was an observational analytical study with cross sectional design. The sample was medical record of women with ovarian cancer and non ovarian cancer in PKU Muhammadiyah Teaching Hospital Yogyakarta period of April 2014-September 2017 with inclusion and exclusion criteria. Data analysis used chi-square test. Result: The bivariat analysis showed that there is no relationship between low parity with ovarian cancer (p=0,790 OR=0,87; 95% CI 0,305-2,466), there is no relation between infertility with ovarian cancer (p=0,104 OR=2,48; 95% CI 0,815-7,545), and there is no relation between family history with ovarian cancer (p=0,304 OR=3,18; 95% CI 0,315-32,039). But there is a relationship between age with ovarian cancer (p=0,01 OR=0,11; 95% CI 0,022-0,510). Conclusion: There are no relations between low parity, infertility, and family history with ovarian cancer. But there is a relationship between age with ovarian cancer.

Background: Adopting Universal Health Coverage for implementation of a national health insurance system [Jaminan Kesehatan Nasional (JKN)/Badan Penyelenggara Jaminan Sosial or the Indonesian National Social Health Insurance Scheme (BPJS)] targets the 255 million population of Indonesia. The availability, accessibility, and acceptance of healthcare services are the most important challenges during implementation. Referral behavior and the utilization of primary care structures for underserved (rural/remote regions) populations are key guiding elements. In this study, we provided the first assessment of BPJS implementation and its resulting implications for healthcare delivery based on the entire insurance dataset for the initial period of implementation, specifically focusing on poor and remote populations.Methods: Demographic, economic, and healthcare infrastructure information was obtained from public resources. Data about the JKN membership structure, performance information, and reimbursement were provided by the BPJS national head office. For analysis, an ANOVA was used to compare reimbursement indexes for primary healthcare (PHC) and advanced healthcare (AHC). The usage of primary care resources was analyzed by comparing clustered provinces and utilization indices differentiating poor [Penerima Bantuan Iur (PBI) membership] and non-poor populations (non-PBI). Factorial and canonical discrimination analyses were applied to identify the determinants of PHC structures.Results: Remote regions cover 27.8% of districts/municipalities. The distribution of the poor population and PBI members were highly correlated (r2 > 0.8; p < 0.001). Three clusters of provinces [remote high-poor (N = 13), remote low-poor (N = 15), non-remote (N = 5)] were identified. A discrimination analysis enabled the >82% correct cluster classification of infrastructure and human resources of health (HRH)-related factors. Standardized HRH (nurses and general practitioners [GP]) availability showed significant differences between clusters (p < 0.01), whereas the availability of hospital beds was weakly correlated. The usage of PHC was ~2-fold of AHC, while non-PBI members utilized AHC 4- to 5-fold more frequently than PBI members. Referral indices (r2 = 0.94; p < 0.001) for PBI, non-PBI, and AHC utilization rates (r2 = 0.53; p < 0.001) were highly correlated.Conclusion: Human resources of health availability were intensively related to the extent of the remote population but not the numbers of the poor population. The access points of PHC were mainly used by the poor population and in remote regions, whereas other population groups (non-PBI and non-Remote) preferred direct access to AHC. Guiding referral and the utilization of primary care will be key success factors for the effective and efficient usage of available healthcare infrastructures and the achievement of universal health coverage in Indonesia. The short-term development of JKN was recommended, with a focus on guiding referral behavior, especially in remote regions and for non-PBI members.

Background: In this priority-setting exercise, we sought to identify leading research priorities needed for strengthening future pandemic preparedness and response across countries., Methods: The International Society of Global Health (ISoGH) used the Child Health and Nutrition Research Initiative (CHNRI) method to identify research priorities for future pandemic preparedness. Eighty experts in global health, translational and clinical research identified 163 research ideas, of which 42 experts then scored based on five pre-defined criteria. We calculated intermediate criterion-specific scores and overall research priority scores from the mean of individual scores for each research idea. We used a bootstrap (n = 1000) to compute the 95% confidence intervals., Results: Key priorities included strengthening health systems, rapid vaccine and treatment production, improving international cooperation, and enhancing surveillance efficiency. Other priorities included learning from the coronavirus disease 2019 (COVID-19) pandemic, managing supply chains, identifying planning gaps, and promoting equitable interventions. We compared this CHNRI-based outcome with the 14 research priorities generated and ranked by ChatGPT, encountering both striking similarities and clear differences., Conclusions: Priority setting processes based on human crowdsourcing - such as the CHNRI method - and the output provided by ChatGPT are both valuable, as they complement and strengthen each other. The priorities identified by ChatGPT were more grounded in theory, while those identified by CHNRI were guided by recent practical experiences. Addressing these priorities, along with improvements in health planning, equitable community-based interventions, and the capacity of primary health care, is vital for better pandemic preparedness and response in many settings., Competing Interests: Disclosure of interest: The authors completed the ICMJE Disclosure of Interest Form (available upon request from the corresponding author) and declare the following activities and/or relationships: IR is the Co-Editor in Chief, PS is the China Regional Editor, and DA is an Editorial Board Member of the Journal of Global Health. To ensure that any possible conflict of interest relevant to the journal has been addressed, this article was reviewed according to best practice guidelines of international editorial organisations., (Copyright © 2024 by the Journal of Global Health. All rights reserved.)

Background: The COVID-19 pandemic has caused disruptions to the functioning of societies and their health systems. Prior to the pandemic, health systems in low- and middle-income countries (LMIC) were particularly stretched and vulnerable. The International Society of Global Health (ISoGH) sought to systematically identify priorities for health research that would have the potential to reduce the impact of the COVID-19 pandemic in LMICs., Methods: The Child Health and Nutrition Research Initiative (CHNRI) method was used to identify COVID-19-related research priorities. All ISoGH members were invited to participate. Seventy-nine experts in clinical, translational, and population research contributed 192 research questions for consideration. Fifty-two experts then scored those questions based on five pre-defined criteria that were selected for this exercise: 1) feasibility and answerability; 2) potential for burden reduction; 3) potential for a paradigm shift; 4) potential for translation and implementation; and 5) impact on equity., Results: Among the top 10 research priorities, research questions related to vaccination were prominent: health care system access barriers to equitable uptake of COVID-19 vaccination (ranked 1st), determinants of vaccine hesitancy (4th), development and evaluation of effective interventions to decrease vaccine hesitancy (5th), and vaccination impacts on vulnerable population/s (6th). Health care delivery questions also ranked highly, including: effective strategies to manage COVID-19 globally and in LMICs (2nd) and integrating health care for COVID-19 with other essential health services in LMICs (3rd). Additionally, the assessment of COVID-19 patients' needs in rural areas of LMICs was ranked 7th, and studying the leading socioeconomic determinants and consequences of the COVID-19 pandemic in LMICs using multi-faceted approaches was ranked 8th. The remaining questions in the top 10 were: clarifying paediatric case-fatality rates (CFR) in LMICs and identifying effective strategies for community engagement against COVID-19 in different LMIC contexts., Interpretation: Health policy and systems research to inform COVID-19 vaccine uptake and equitable access to care are urgently needed, especially for rural, vulnerable, and/or marginalised populations. This research should occur in parallel with studies that will identify approaches to minimise vaccine hesitancy and effectively integrate care for COVID-19 with other essential health services in LMICs. ISoGH calls on the funders of health research in LMICs to consider the urgency and priority of this research during the COVID-19 pandemic and support studies that could make a positive difference for the populations of LMICs., Competing Interests: Competing interests: Ana Marušić, Harry Campbell and Igor Rudan are the Co-Editors in Chief of the Journal of Global Health. To ensure that any possible conflict of interest relevant to the journal has been addressed, this article was reviewed according to best practice guidelines of international editorial organisations. The authors completed the ICMJE Unified Competing Interests Form (available upon request from the corresponding author) and declare no further conflicts of interest., (Copyright © 2022 by the Journal of Global Health. All rights reserved.)