The Role of Government-run Insurance in Primary Health Care Utilization: A Cross-Sectional Study in Papua Region, Indonesia, in 2018

Laksono, Agung Dwi; Nugraheni, Wahyu Pudji; Ipa, Mara; Rohmah, Nikmatur; Wulandari, Ratna Dwi

doi:10.1177/00207314221129055

Cited by 2 publications

(1 citation statement)

References 39 publications

(61 reference statements)

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“…There is a need to optimize PHC utilization among the population above the poorest (poorer and middle) economic status and employed persons without insurance. The situation is in line with research on universal health coverage (UHC) in Indonesia, which identifies the missing-median level, a term used to define the lower percentage of people listed in UHC among Q2-Q3 quintiles of wealth compared to other quintiles (Laksono, Nugraheni, et al, 2023;Suharmiati et al, 2023).…”

Section: Resultsmentioning

confidence: 52%

Determine the Target to Increase Primary Healthcare Utilization in Indonesia's Disadvantaged Areas

Wulandari,

Laksono,

Rohmah

et al. 2023

JAKI

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Background: Primary health care (PHC) is the closest institution known to people in disadvantaged areas. Aims: The study determines the policy target based on the demographic characteristics to increase PHC utilization in a disadvantaged area. Methods: The cross-sectional research explored 42,644 respondents. In addition to PHC utilization, the study examined eight independent variables: residence, gender, marital, age, wealth, insurance, education, and travel time. We employed a binary logistic regression in the last stage. Results: Live in urban areas had 1.967 more likely to utilize the PHC (95%CI 1.942-1.992). Males could be 1.412 higher than females (95%CI 1.402-1.421). All marital types had more chances than never married. All education was more likely than no education. The employed had 0.972 less likely than the unemployed (95%CI 0.965-0.980). All wealth groups had less possibility than the poorest. Those with government-run insurance were likelier than other types. The ≤10 minutes travel time was more likely than the >10 minutes. Conclusion: There were seven policy target characteristics to increase PHC use in disadvantaged areas in Indonesia: live in a rural area, female, never married, have no education, employed, not the poorest, don't have government-run insurance, and have a travel time of more than ten minutes. Keywords: disadvantaged area, healthcare evaluation, primary health care, public health

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Section: Resultsmentioning

confidence: 52%

Determine the Target to Increase Primary Healthcare Utilization in Indonesia's Disadvantaged Areas

Wulandari,

Laksono,

Rohmah

et al. 2023

JAKI

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Regional disparities in hospital utilisation in Indonesia: a cross-sectional analysis data from the 2018 Indonesian Basic Health Survey

Laksono¹,

Wulandari

Rohmah

et al. 2023

BMJ Open

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ObjectivesPolicymakers must ensure that the entire population has equal access to health services, and efforts to minimise inequalities are needed. This study aimed to analyse the regional disparities in hospital utilisation in Indonesia.DesignA cross-sectional study analysing secondary data from the 2018 Indonesian Basic Health Survey.SettingNational-level survey data from Indonesia.ParticipantsA total of 629 370 participants were included in the study.InterventionWe employed no interventionPrimary and secondary outcome measuresThe primary outcome was hospital utilisation. Aside from region, we utilise residence type, age, gender, marital status, educational level, occupation, wealth, insurance and travel time as control variables. We used binary logistic regression in the final analysisResultsThe respondents in Sumatra were 1.079 times (95% CI 1.073 to 1.085) more likely than those in Papua to use the hospital. Furthermore, compared with the respondents in Papua, those in the Java–Bali region (1.075 times, 95% CI 1.069 to 1.081), Nusa Tenggara (1.106 times, 95% CI 1.099 to 1.113), Sulawesi (1.008 times, 95% CI 1.002 to 1.014) and Kalimantan (1.212 times, 95% CI 1.205 to 1.219) were more likely to use the hospital. However, those in Maluku were less likely than those in Papua to use the hospital (0.827 times, 95% CI 0.820 to 0.835). Six demographic variables (age, gender, marital status, educational level, occupation and wealth) and three other control variables (residence type, insurance and travel time to the hospital) were found to be associated with hospital utilisation.ConclusionsOur findings highlight the existence of regional disparities in hospital utilisation in Indonesia.

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The Role of Government-run Insurance in Primary Health Care Utilization: A Cross-Sectional Study in Papua Region, Indonesia, in 2018

Cited by 2 publications

References 39 publications

Determine the Target to Increase Primary Healthcare Utilization in Indonesia's Disadvantaged Areas

Determine the Target to Increase Primary Healthcare Utilization in Indonesia's Disadvantaged Areas

Regional disparities in hospital utilisation in Indonesia: a cross-sectional analysis data from the 2018 Indonesian Basic Health Survey

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