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In the Performance Based Capitation (KBK) payment system, the performance achievement of First Level Health Facilities (FKTP) will be calculated based on the indicators of Contact Rate, Non-Specialist Referral Ratio, and Controlled Prolanis Participant Ratio as the basis for capitation payments. This research is a non-experimental research using a quantitative approach, which aims to determine the relationship between the status of implementation of KBK consequences, the ratio of doctors to participants, fulfillment of infrastructure, scope of services and financial management patterns of Community Health Centers with the value of KBK achievements at Puskesmas in the North Sumatra Province region in 2023. From the results of this research, the KBK achievement value for Puskesmas in North Sumatra Province in December 2023 is 2.8 or has not yet reached the target maximum. The ratio of doctors to participants and fulfillment of infrastructure have a significant relationship to the KBK achievement score. Fulfillment of doctors based on the number of registered participants, fulfillment of infrastructure and arrangements for the distribution of registered participants need to be paid attention to in order to improve performance in accordance with the provisions of Performance Based Capitation.
The implementation of service commitment-based capitation which is now known as Capitation Based Commitment (CBC) is an effort to improve the quality of services in the National Health Insurance scheme. There have been many publications that present case studies at the FKTP level regarding what factors contribute to or hinder achievement. This study aims to identify the factors that make First Level Health Facilities achieve the KBK target, using the Literature Review design. The literature search bases used are Google Scholar and GARUDA. From the number of searches for 917 articles, after eliminating duplication, filtering using inclusion and exclusion criteria, the final results obtained are 11 articles with almost all of them using a qualitative design in the form of case studies. The results of the literature screening are presented with a PRISMA diagram. The results of the study indicate that a sufficient number of human resources, the availability of adequate facilities and infrastructure, sufficient funds at the Puskesmas and well channeled, and the codification of diseases to improve optimal services, are conditions that make the KBK target achievable. Factors that are considered difficult to achieve KBK include the number of participants who are too many or exceed the capacity standard in FKTP and target policies that are considered too high by FKTP.
Kata kunci : Peraturan KBK, Implementasi, indikator angka kontak, indikator rasio prolanis, indikator rujukan non spesialistik.
This research aims to find out the implementation of Performance-Based Capitation Regulation in Primary Helalth Care in East Jakarta Region, 2017. This research is a qualitative study with data collection through interviews, observation, and document review. This study shows that there are problems in communication, resources, and implementation to achieve performance indicators. The researcher suggested that improvement efforts should be made in the case of socialization, review of workload and task division, make SOPs for Prolanis activities, routine training for doctors, make allocation budget for Prolanis, and policy making related to services for participants who are not registered in Primary Health Care Addressed.
Key words : Performance-Based Capitation, Implementation, contack rate indicators, Prolanis ratio indicators, non-specialistic refferal indicators.
Hingga saat ini dari indikator-indikator yang masuk ke dalam komponen pembayaran kapitasi berbasis kinerja yang diinisiasi oleh BPJS Kesehatan, indikator angka kontak menjadi yang pencapaiannya paling rendah dengan capaian nasional kurang dari 50% Puskesmas di Indonesia belum mencapai target angka kontak berdasar data Riset Fasil-itas Kesehatan (Rifaskes) 2019. Tujuan dari penelitian ini adalah untuk mengetahui pengaruh faktor input dan karakteristik dengan ketercapaian angka kontak Puskesmas di Indonesia. Penelitian ini merupakan penelitian analitik dengan menerapkan penelitian kuantitatif dengan pendekatan potong lintang (cross sectional). Sampel dari penelitian ini adalah seluruh Puskesmas yang ada di Indonesia yang masuk dalam Rifaskes 2019 sebanyak 9.831 Puskesmas. Data dalam studi ini diperoleh dari data sekunder yang didapatkan dari hasil Rifaskes 2019. Dari penelitian ini didapatkan dari 5.384 Puskesmas, faktor kelengkapan alat kesehatan esensial poliklinik (OR=1,16; p=0,029), rasio dokter per 5000 peserta (OR=1,06; p<0,0001), rasio bidan per 5000 peserta (OR=1,01; p=0,033), dan pengelolaan keuangan berbasis BLUD (OR=1,13; p=0,062) secara signifikan memengaruhi ketercapaian angka kontak. Namun, model prediktif hanya menjelaskan 2,6% varians (Nagelkerke R²=0,026). Pada penelitian berikutnya dapat dilakukan perampingan data dan mengambil studi menilai pengaruh dari faktor-faktor lain seperti output Puskesmas atau demand dari sisi pasien. Diharapkan pihak berwenang dapat melengkapi alat kesehatan dan menambah tenaga kesehatan di Puseksmas guna meningkatkan angka kontak.
Of the indicators included in the performance-based capitation payment component in-itiated by BPJS Kesehatan, the contact rate indicator has the lowest achievement. Based on 2019 Riset Fasilitas Kesehatan (Rifaskes) data, less than 50% of Puskesmas in Indonesia did not reach the contact rate target. This study aimed to determine the effect of input and characteristics factors on contact rate achievement among Pusk-esmas in Indonesia. This analytical study applied a quantitative research design and used cross-sectional approach. The study sample included all 9,831 Puskesmas in In-donesia included in the 2019 Rifaskes. Data for this study were using secondary data obtained from the 2019 Rifaskes results. The study found that the completeness of es-sential medical equipment for polyclinics (OR = 1.16; p = 0.029), the ratio of doctors to 5,000 participants (OR = 1.06; p < 0.0001), the ratio of midwives to 5,000 partici-pants (OR = 1.01; p = 0.033), and BLUD-based financial management (OR = 1.13; p = 0.062) significantly influenced contact rate achievement. However, the predictive model only explained 2.6% of the variance (Nagelkerke R² = 0.026). Future research could refine the data and examine the influence of other factors, such as output factors or patient demand. It is expected that authorities should equip Puskesmas with medical equipment and increase the number of health workers to improve contact rates.
