Costs and scale-up costs of community-based Oral HIV Self-Testing for female sex workers and men who have sex with men in Jakarta and Bali, Indonesia.

BACKGROUND: The proportion of individuals who know their HIV status in Indonesia (66% in 2021) still remains far below the first 95% of UNAIDS 2030 target and were much lower in certain Key Populations (KPs) particularly Female Sex Workers (FSW) and Male having Sex with Male (MSM). Indonesia has implemented Oral HIV Self-testing (oral HIVST) through Community-based screening (HIV CBS) in addition to other testing modalities aimed at hard-to-reach KPs, but the implementation cost is still not analysed. This study provides the cost and scale up cost estimation of HIV CBS in Jakarta and Bali, Indonesia. METHODS: We estimated the societal cost of HIV CBS that was implemented through NGOs. The HIV CBS's total and unit cost were estimated from HIV CBS outcome, health care system cost and client costs. Cost data were presented by input, KPs and areas. Health care system cost inputs were categorized into capital and recurrent cost both in start-up and implementation phases. Client costs were categorized as direct medical, direct non-medical cost and indirect costs. Sensitivity and scenario analyses for scale up were performed. RESULTS: In total, 5350 and 1401 oral HIVST test kits were distributed for HIV CBS in Jakarta and Bali, respectively. Average total client cost for HIV CBS Self testing process ranged from US$1.9 to US$12.2 for 1 day and US$2.02 to US$33.61 for 2 days process. Average total client cost for HIV CBS confirmation test ranged from US$2.83 to US$18.01. From Societal Perspective, the cost per HIVST kit distributed were US$98.59 and US$40.37 for FSW and MSM in Jakarta andUS$35.26 and US$43.31 for FSW and MSM in Bali. CONCLUSIONS: CBS using oral HIVST approach varied widely along with characteristics of HIV CBS volume and cost. HIV CBS was most costly among FSW in Jakarta, attributed to the low HIV CBS volume, high personnel salary cost and client cost. Future approaches to minimize cost and/or maximize testing coverage could include unpaid community led distribution to reach end-users, integrating HIVST into routine clinical services via direct or secondary distribution and using social media network.

Cost of implementing HIV pre-exposure prophylaxis at community-based clinics in Indonesia.

INTRODUCTION: Currently, Indonesia still has one of the highest rates of new HIV/AIDS infections among countries in Asia and the Pacific region. The WHO has recommended pre-exposure prophylaxis (PrEP) as an additional HIV epidemic prevention step, which has been applied globally and related to the reduction in the number of HIV cases. However, information on the cost of implementing PrEP is rarely available in developing countries, especially in Southeast Asia. Designing a cost-effective approach to scale up PrEP and to estimate the potential budget impact requires information on the cost of implementing PrEP. This study aims to estimate the cost of implementing PrEP at community-based clinics in Indonesia. METHODS: We collected healthcare and non-healthcare/client costs from nine community-based clinics in various cities/districts in Indonesia. The healthcare costs included data on resource utilisation and costs to deliver PrEP, divided into recurrent and capital costs using a discount rate of 3%. Non-healthcare costs included out-of-pocket costs (e.g., transportation, meals) and productivity loss by clients and accompanying person(s) in accessing PrEP. On average, we interviewed 27 clients/clinic. RESULTS: The annual cost of providing PrEP per client is US $365.03, 39% lower than the yearly cost of antiretroviral treatment (ART) per person (approximately US $600). Drugs and non-healthcare costs contribute approximately 67% of the cost. The cost of PrEP amounts to US $292,756.45/year, covering 802 clients. The non-healthcare cost per visit at all sites never reaches more than 10% of the average monthly household expenditure. CONCLUSIONS: The cost of providing PrEP per person is approximately US $365 and is 39% lower than the annual cost of ART per person. Lowering the cost of PrEP ARV drugs would reduce the cost. Scaling up PrEP should recognise this cost structure and strive to reach economies of scale as the intervention gains more clients while simultaneously controlling new HIV infections.

Cost of improved test and treat strategies in Indonesia.

OBJECTIVE: To estimate and compare the cost of improved test and treat strategies in Indonesia under HIV Awal (Early) Testing and Treatment Indonesia (HATI) implementation trial in community-based and hospital-based clinics. DESIGN: The cost and outcome [i.e. CD4 + cell count] and viral load (VL) at the beginning of interventions and their change overtime) analysis of Simplifying ART Initiation (SAI), Community-based Organization and community-based ART Service (CBO), Motivational Interviewing (MI), Oral Fluid-based Testing (OFT), and Short Message Service (SMS) reminder in community-based and hospital-based clinics in 2018-2019. METHOD: We estimated the total and unit costs per patient (under HATI implementation trial interventions) per year from societal perspective in various settings, including costs from patients' perspective for SAI and MI. We also analyzed the outcome variables (i.e. CD4 + cell count and VL at the beginning of each intervention, the change in CD4 + cell count and VL over time, and adherence rate). RESULT: The unit cost per patient per year of SAI and SMS were lower at the community-based clinics, and more patients visited community-based clinics. The cost per patient visit from patient perspective for SAI and MI was mostly lower than 10% of the patients' household monthly expenditure. Average CD4 + cell count was higher and average VL was lower at the start of interventions at the community-based clinics, while average CD4 + cell count and VL changes and adherence rate were similar between the two types of clinics. CONCLUSION: Community-based clinics hold the potential for scaling up the interventions as it costs less from societal perspective and showed better outcome improvement during the HATI implementation trial.

Impacts of Air Pollution on Health and Cost of Illness in Jakarta, Indonesia.

(1) Background: This study aimed to quantify the health and economic impacts of air pollution in Jakarta Province, the capital of Indonesia. (2) Methods: We quantified the health and economic burden of fine particulate matter (PM2.5) and ground-level Ozone (O3), which exceeds the local and global ambient air quality standards. We selected health outcomes which include adverse health outcomes in children, all-cause mortality, and daily hospitalizations. We used comparative risk assessment methods to estimate health burdens attributable to PM2.5 and O3, linking the local population and selected health outcomes data with relative risks from the literature. The economic burdens were calculated using cost-of-illness and the value of the statistical life-year approach. (3) Results: Our results suggest over 7000 adverse health outcomes in children, over 10,000 deaths, and over 5000 hospitalizations that can be attributed to air pollution each year in Jakarta. The annual total cost of the health impact of air pollution reached approximately USD 2943.42 million. (4) Conclusions: By using local data to quantify and assess the health and economic impacts of air pollution in Jakarta, our study provides timely evidence needed to prioritize clean air actions to be taken to promote the public's health.

Factors Affecting Payment Compliance of the Indonesia National Health Insurance Participants.

BACKGROUND: The study aims to explore factors that affect the compliance of Indonesia National Health Insurance (INHI) in paying the premiums. METHODS: The study design was qualitative with grounded theory research approach and constructivism paradigm. The study was conducted in 2018 and carried out for 3 months. We recruited 22 respondents from four different cities/districts. Triangulation was carried out through 26 informants from various stakeholders. Data were analyzed through coding, categorizing and pattern matching to obtain substantive theory. RESULTS: The resulting substantive theory consists of 6 constructs and 14 categories. Compliance with paying insurance premium depends on the intention to pay for contribution. Meanwhile, the intention to pay is related to internal and external factors of INHI participants. To improve payment contribution of independent participants, INHI program has to pay attention for factors originating internally from the participants themselves (understanding of INHI program, financial ability and self-attitude) and also externally such as operational system and the quality of health care. CONCLUSION: Compliance of paying insurance premium is related to internal and external factors of participants. Thus, interventions to improve compliance to pay premium should take these factors into account, and not merely on increasing the knowledge of participants.

The financing need of equitable provision of paid maternal leave in the informal sector in Indonesia: a comparison of estimation methods.

BACKGROUND: Providing an enabling environment for breastfeeding is hampered by the inequitable implementation of paid maternity leave, primarily due to perceived or actual financial costs. To estimate the real cost of paid maternity leave requires using reliable methods. We compared methods utilized in two recent studies in Indonesia. Study A estimated the financial need of providing paid maternity leave in the formal sector with a 10-year forecast at 21% coverage of eligible mothers, while study B estimated similar costs for the informal sector at 100% coverage annually. Results are critical for guiding future application of either method to inform paid maternity leave policies. METHODS: We compared number of covered mothers working informally, total annual cost, and cost per mother. We modified some parameters used in study A (method A) to be similar to study B (method B) for comparison, namely the period of estimate (annual), coverage (100%), estimate of women potentially breastfeeding, exchange rate, female labor force participation rate, the percentage of women working in the informal sector, and adding administration cost. RESULTS: The methods differ in determining the number of mothers working in the informal sector who gave birth, the minimum wage as unit cost, and administrative cost. Both studies estimated the cost at various lengths of leave period. Method A requires more macro (e.g. national/regional) level data, while method B involves (e.g. individual) micro level data. We compared the results of method A with method B, respectively: 1) number of covered mothers working informally were 1,425,589 vs. 1,147,204; 2) total annual costs including administrative costs were US$650,230,167 vs. US$633,942,726, and; 3) cost/mother was US$456 vs US$553. CONCLUSION: Certain flexibilities can be applied to both methods, namely using parameters specific to respective regions (e.g. provincial level parameters), flexible period of analysis, and the use of administrative cost. In a setting where micro data is scarce and not easily accessible, method A provides a feasible approach, while method B will be most appropriate if suitable micro data is available. Future comparison studies in other settings are needed to provide further evidence on the strengths and weaknesses of both methods.

The yearly financing need of providing paid maternity leave in the informal sector in Indonesia.

BACKGROUND: The economic cost of not breastfeeding in Indonesia is estimated at US$1.5-9.4 billion annually, the highest in South East Asia. Half of the 33.6 million working women of reproductive age (WRA) in Indonesia (15-49 years) are informal employees, meaning they are working as casual workers or they are self-employed (small scale business) and assisted by unpaid/family worker(s). No specific maternity protection entitlements are currently available for WRA working informally in Indonesia. This study aims to estimate the financing need of providing maternity leave cash transfer (MCT) for WRA working in the informal sector in Indonesia. METHOD: The costing methodology used is the adapted version of the World Bank methodology by Vilar-Compte et al, following pre-set steps to estimate costs using national secondary data. We used the 2018 Indonesian National Socio-Economic Survey to estimate the number of women working informally who gave birth within the last year. The population covered, potential cash transfer's unitary cost, the incremental coverage of the policy in terms of time and coverage, and the administrative costs were used to estimate the cost of MCT for the informal sector. RESULT: At 100% coverage for 13 weeks of leave, the yearly financing need of MCT ranged from US$175million (US$152/woman) to US$669million (US$583/woman). The share of the yearly financing need did not exceed 0.5% of Indonesian Gross Domestic Product (GDP). CONCLUSIONS: The yearly financing need of providing MCT for eligible WRA working in the informal sector is economically attractive as it amounts to less than 0.5% of GDP nominal of Indonesia. While such a program would be perceived as a marked increase from current public health spending at the onset, such an investment could substantially contribute to the success of breastfeeding and substantial corresponding public health savings given that more than half of working Indonesian WRA are employed in the informal sector. Such policies should be further explored while taking into consideration realistic budget constraints and implementation capacity.