Factors Associated With Long-term Retention in Antiretroviral Therapy Among People Living With HIV: Evidence From a Tertiary Hospital in Jakarta, Indonesia.

OBJECTIVES: This study investigated factors associated with the retention of people living with human immunodeficiency virus (HIV) on antiretroviral therapy (ART) during the first 3 years of treatment. METHODS: A retrospective study using electronic health records was conducted at a tertiary hospital in Jakarta, Indonesia. Adult HIV-positive patients who started ART from 2010 until 2020 were included. A binary logistic regression model was used to identify factors associated with ART retention in the first 3 years. RESULTS: In total, 535 respondents were included in the analysis. The ART retention rates for the first, second, and third years were 83.7%, 79.1%, and 77.2%, respectively. The multivariate analysis revealed a negative association between CD4 count when starting ART and retention. Patients with CD4 counts >200 cells/mL were 0.65 times less likely to have good retention than those with CD4 counts ≤200 cells/mL. The year of starting ART was also significantly associated with retention. Patients who started ART in 2010-2013 or 2014-2016 were less likely to have good retention than those who started ART in 2017-2020, with adjusted odds ratios of 0.52 and 0.40, respectively. Patients who received efavirenz-based therapy were 1.69 times more likely to have good retention than those who received nevirapine (95% confidence interval, 1.05 to 2.72). CONCLUSIONS: Our study revealed a decline in ART retention in the third year. The CD4 count, year of enrollment, and an efavirenz-based regimen were significantly associated with retention. Patient engagement has long been a priority in HIV programs, with interventions being implemented to address this issue.

The availability of essential medicines in primary health centres in Indonesia: achievements and challenges across the archipelago.

Background: Indonesia is making significant strides toward achieving universal health coverage, which involves providing free access to essential medicines. This study examines the availability of essential medicine in primary health centres (PHCs) across Indonesia, the reasons why medicines are unavailable, and the extent to which communities have access to alternative dispensing points. Methods: Enumerators visited each of the 9831 PHCs in all 514 districts to assess the availability of 60 essential medicines and identify reasons for any absent medicines. We correlated the results with the national village census to assess the relationship between availability, poverty, and access to alternative dispensing points. Findings: Medicine availability varied greatly. The median availability for 17 priority medicines was 82%, while 58% of the broader selection of 60 essential medicines was present. The availability of maternal and childcare medicines was highest (73%) and lowest for mental health (42%). The main reasons for absence were that medicines were deemed unnecessary (46%) or not supplied (38%). The Java/Bali region had the highest medicines availability, and rural areas in Eastern Indonesia had the lowest. In these districts, the population is financially struggling, most dependent on free medicines from public providers, and had the least access to alternative dispensing points. Interpretation: The availability of priority medicines in PHCs is relatively high, while public-paid prices are low by international standards. To improve availability of all essential medicines, the government should prioritize areas with the highest need, increase funding for PHCs in remote areas, and implement transparent monitoring of medicines availability. Funding: Indonesian Government.

Vaccination Status and In-hospital Mortality Among Adults With COVID-19 in Jakarta, Indonesia: A Retrospective Hospital-based Cohort Study.

OBJECTIVES: Prospective studies on vaccination status and mortality related to coronavirus disease 2019 (COVID-19) in low-resource settings are still limited. We assessed the association between vaccination status (full, partial, or none) and in-hospital mortality among COVID-19 patients at most hospitals in Jakarta, Indonesia during the Delta predomination wave. METHODS: We conducted a retrospective cohort study among hospitalized COVID-19 patients who met the study criteria (>18 years old and admitted for inpatient treatment because of laboratory-confirmed severe acute respiratory syndrome coronavirus 2 infection). We linked individual-level data in the hospital admission database with vaccination records. Several socio-demographic and clinical characteristics were also analyzed. A Cox proportional hazards regression model was used to explore the association between vaccination status and in-hospital mortality in this patient group. RESULTS: In total, 40 827 patients were included in this study. Of these, 70% were unvaccinated (n=28 543) and 19.3% (n=7882) died during hospitalization. The mean age of the patients was 49 years (range, 35-59), 53.2% were female, 22.0% had hypertension, and 14.2% were treated in the intensive care unit, and the median hospital length of stay across the group was 9 days. Our study showed that the risk of in-hospital mortality among fully and partially vaccinated patients was lower than among unvaccinated adults (adjusted hazard ratio [aHR], 0.43; 95% confidence interval [CI], 0.40 to 0.47 and aHR, 0.70; 95% CI, 0.64 to 0.77, respectively). CONCLUSIONS: Vaccinated patients had fewer severe outcomes among hospitalized adults during the Delta wave in Jakarta. These features should be carefully considered by healthcare professionals in treating adults within this patient group.

Disparities of Health Program Information Systems in Indonesia: A Cross-Sectional Indonesian Health Facility Research 2019.

Although a recording and reporting format for health centers already exists for Indonesia's standard information system, numerous health applications still need to meet the needs of each program. Therefore, this study aimed to demonstrate the potential disparities in information systems in the application and data collection of health programs among Indonesian community health centers (CHCs) based on provinces and regions. This cross-sectional research used data from 9831 CHCs from the Health Facilities Research 2019 (RIFASKES). Significance was assessed using a chi-square test and analysis of variance (ANOVA). The number of applications was depicted on a map using the spmap command with STATA version 14. It showed that region 2, which represented Java and Bali, was the best, followed by regions 1, which comprised Sumatra Island and its surroundings, and 3, Nusa Tenggara. The highest mean, equaling that of Java, was discovered in three provinces of region 1, namely, Jambi, Lampung, and Bangka Belitung. Furthermore, Papua and West Papua had less than 60% for all types of data-storage programs. Hence, there is a disparity in the health information system in Indonesia by province and region. The results of this analysis recommend future improvement of the CHCs' information systems.

Spatial analysis of stunting determinants in 514 Indonesian districts/cities: Implications for intervention and setting of priority.

While the national prevalence of stunting in Indonesia has decreased, the level remains high in many districts/cities and there is significant variation. This ecological study employed aggregated data from the Basic Health Research Report and the District/City Poverty Data from 2018. We investigated the determinants of stunting prevalence at the district/city level, including autocorrelation applying the spatial autoregressive (SAR) model. The analyses revealed stunting prevalence above the national average in 282 districts/cities (54.9%), i.e. ≥30% in 297 districts/cities (57.8%) and ≥40% in 91 districts/cities (17.7%). Autocorrelation was found between Sumatra, Java, Sulawesi as well as Bali, East Nusa Tenggara and West Nusa Tenggara (Bali NTT NTB). The SAR modelling revealed the following variables with significant impact on the stunting prevalence in various parts of the country: closet defecation, hand washing, at least four antenatal care visits during pregnancy, poverty, immunisation and supplementary food for children under 5 years.

Assessing the COVID-19 diagnostic laboratory capacity in Indonesia in the early phase of the pandemic.

The coronavirus disease 2019 (COVID-19) pandemic has put a great burden on countries as a result of the demand for laboratory diagnostic testing for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). This paper reports our experiences in rapidly assessing Indonesia's COVID-19 laboratory testing capacity in the early phase of the pandemic response. Through a questionnaire-based survey carried out between 23 March and 2 April, we estimated the daily tests that could be done by the 44 facilities, excluding the national referral laboratory, first assigned to be COVID-19 diagnostic laboratories. The capacity constraints were lack of reagents and equipment, and limited human resources; because of these constraints, most of the laboratories were not yet operational. A major hindrance was reliance on imported supplies and the associated procurement time. Expanding real-time polymerase chain reaction testing capacity, through increased numbers of laboratories and optimization of existing facilities, was clearly the main priority. We also assessed the potential yield from using rapid molecular testing machines in the country's referral hospitals. Even assuming this potential could be tapped, several provinces would still be poorly served by diagnostic services in the event of a surge in cases. Since this rapid assessment, the number of designated COVID-19 laboratories has increased and, by 1 July 2020, was 163. On 29 July 2020, for the first time, the number of specimens examined in a day reached more than 30 000, achieving the WHO testing capacity target of 1 in 1000 inhabitants per week.