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Backgorund: The high of outpatient revisit in hospital from INA CBG Claims with grouping code Q-5-44-0 since 2014 can be a burden on health assurance (JKN) financing. Based on INA CBG system, grouping code: Q- 5-44-0 is set for follow up after treatment visit at secondary health facilities. This condition needs indepth analysis to find factor which is related with outpatient revisit rate. Methodology: This study used a cross-sectional study (quantitative methods) to observe relationship between independent variables of JKN participant (gender, age cluster, participant cluster) and hospital (ownership type, hospital referral class, specialist clinic) with outpatient revisit rate (dependent variable). Sample size were 2.947 participant identities as uniqely code which is presented every participant from nine branch offices of BPJS Kesehatan (Indonesia administration bodies of social health security). Results: the average number of 9.96 visits in 2017 was highest in Class B FKRTL (51.5%) and the highest specialist poly destination was internal medicine poly (27.5%). There is no average difference between the number of outpatient revisit for women and men, there is no difference in the average number of outpatient revisit between government and private ownership, and there is no difference in the number of outpatient revisit between age groups. There is an average difference in the number of outpatient revisit between subsidized participan and Non-subsidized participan, there are differences in the number of outpatient revisit between hospital classes, and there is a significant difference in the number of outpatient revisit between specialists clinic. Hospital class and specialist clinic have a positive influence on the number of return visits while the participation segment has a negative influence on the number of return visits. Non-subsidized participan, hospital class B, neurosurgical poly, gastrology poly, geriatric poly, kidney poly, emergency clinic, eye clinic, poly obgyn, and poly rheumatology had negative effect while subsidized participan, hospital class A, C, and with other specialist clinic had a positive effect on the number of outpatient revisit.
The high cost of treatment is one of the obstacles in accessing affordable health services for the poor and vulnerable, so the Indonesian government created the JKN program through a guarantee scheme for contributions / subsidy assistance to ensure groups meet health care needs without difficulty paying. This study aims to determine the effect of health insurance on the utilization and cost of outpatient health services (OOP) for participants in subsidized and non-subsidized insurance. The study design was cross- sectional and quantitative approach of secondary data (data Susenas 2018) with the amount of research sampels which fit with inclusive criteria was 66,132 respondents. The analysis shows that the existence of health insurance can increase the utilization of outpatient health care services for subsidized is 49% and non-subsidized is 48% and from the results of the analysis there are still OOP in outpatient health services due to the dual role of providers and asymmetries. information that causes the supplier induced demand (SID). Therefore it is necessary to monitor and evaluate the BPJS Health control function so that the goal of health insurance can provide financial protection can be realized.
Faktor paling dominan yang mempengaruhi RJTP adalah ketersediaan SDM (OR=16.369). Hasil penelitian ini juga menunjukkan bahwa jenis kelamin (p=0.001), jenis kepesertaan (p=0.000), diagnosa medis (p=0.000), keikutsertaan prolanis (p=0.000), lama bergabung prolanis (p=0.000), kekatifan kegiatan aktivitas klub (p=0.003), keaktifan kegiatan edukasi (p=0.015), jenis FKTP pengelola (p=0.000), ketersediaan SDM (p=0.000), ketersediaan sarana prasarana (p=0.005), ketersediaan alat medis dan obat (p=0.000), dan lingkup pelayanan (p=0.000) berhubungan dengan Rujukan. Faktor paling dominan yang mempengaruhi Rujukan adalah ketersediaan alat medis dan obat (OR=14.901). Penulis menyarankan dilakukannya promosi kesehatan terkait prolanis, peningkatan kualitas FKTP, dan optimalisasi kegiatan prolanis. Kata kunci: PROLANIS, Diabetes Mellitus, Hipertensi, Rawat Jalan, Rujukan
Implementation of the JKN program should be able to increase people's access to health services. However, disparities in health services still exist. The study aims to analyze the utilization of health services based on regional status for JKN participants in Indonesia from 2019 to 2021 and also examine the factors that influence the utilization of inpatient healthcare for JKN participants in Indonesia. This research uses Susenas secondary data for 2019, 2020 and 2021. Data were analyzed bivariately and multivariately using the Binary Regression method using a logit model. The results showed that regional status is significantly related (p-value 0.000 <0.05) to health utilization of JKN participants from 2019 to 2021. Respondents who live in urban areas in 2019 have 1,141 times, 1,127 times in 2020 and 1,127 times in 2021 higher odds ratio than respondents who live in rural areas. Age, gender, educational status, marital status, employment status, economic status and province are significantly related (p-value 0.000 <0.05) to the utilization of inpatient healthcare for JKN participants.
