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Demand for healthcare remain low, even though Indonesian government continueto increase healthcare funding, and implemented the social health insurance thatcovers more than a half of whole population through Jaminan KesehatanNasional (JKN). Numerous studies mentioned that the Supplier induced Demand(SID) is one of many reason why healthcare expenditure is increasing, causingmore financial pressures, increasing the share of national resources spent onhealthcare, which all of these can occur with few benefits for the health of thepopulation.Using data from Indonesian Household Survey (Susenas 2012) and Potensi Desa(Podes 2011), this study provides an empirical evidence of the phenomenon usingmicroeconometrics approach under the two-part modeling, analyzing district levelphysician density on the individual numbers of doctor visit to find evidenceindicating the existence of SID phenomenon in Indonesia.This is the initial study of the phenomenon in Indonesia, and it concludes thatphysician density is proven exogenous and has positive effect on the frequency ofdoctor visit, thus giving evidence indicating Supplier Induced Demandphenomenon occurred in Indonesia. Nevertheles, poor health status of patients isstill the main reason of the healthcare utilization.Keywords: supplier induced demand, demand for healthcare, health insurance,outpatient care
Chronic Kidney Disease (CKD) poses a significant financial burden, making the utilization of Advanced Outpatient Services (AOS) crucial, especially for National Health Insurance (JKN) participants. This cross sectional study involved 498 CKD patients who used AOS in 2023. The results showed that age, sex, marital status, membership segmentation, class of care entitlement, and facility ownership were significantly associated with AOS utilization (p<0.05). Age ≥65 years was the most dominant factor (AOR: 1.48; 95% CI: 1.29–1.69). All variables had a significant influence on the utilization of AOS among CKD patients.
Pelayanan kesehatan yang berkualitas salah satunya dapat dinilai dari lamanya waktu tunggu pelayanan. Waktu tunggu yang lama di rawat jalan akan menghambat pelayanan dan menyebabkan penumpukan pasien serta inefisiensi pelayanan. Penelitian ini bertujuan melakukan analisis alur pelayanan online untuk mengurangi waktu tunggu pasien di Poliklinik Kebidanan RSUPN Dr. Cipto Mangunkusumo dengan pendekatan metode lean. Penelitian ini menggunakan penelitian kuantitatif dan kualitatif. Variabel yang dianalisis meliputi alur pelayanan pasien, cycle time, lead time, takt time, current state, value added activity, non value added activity, waste, fishbone diagram, dan future state. Teknik pengumpulan data dengan menggunakan observasi, wawancara mendalam, dan telaah dokumen. Hasil penelitian didapatkan rata-rata total lead time adalah 109,6 menit. Waktu tunggu paling cepat di pendaftaran 23,3 menit dan paling lama di farmasi 121,3 menit. Value added activities sebesar 13,2 % dan non value added activities sebesar 86,8%. Nilai value-to-waste ratio 15,2%. Hal ini menunjukan bahwa pelayanan belum dalam kondisi lean. Waste yang ditemukan adalah defect, transportation, motion, waiting dan over processing. Analisis future state dengan penerapan metode lean dapat menurunkan non value added menjadi 75% dan jika ditambah digitalisasi pengiriman obat akan menurunkan non value added menjadi 66 %. Usulan peneliti adalah dengan melakukan perbaikan jangka pendek, menengah dan panjang melalui program pelaksanaan metode lean yang berkelanjutan.
Quality health services can be assessed by the length of waiting time. Long waiting times in outpatient care will hamper services and cause patient accumulation and service inefficiencies. This study aims to analyze the flow of online services to reduce patient waiting time at the Obstetric and Gynecology Polyclinic of Dr. Cipto Mangunkusumo Hospital using the lean method approach. This study used quantitative and qualitative research. The variables analyzed include patient service flow, cycle time, lead time, takt time, current state, value added activity, non-value added activity, waste, fishbone diagram, and future state. Data collection techniques using observation, in-depth interviews, and document review. The results showed that thevaverage total lead time was 109,6 minutes. The fastest waiting time in registration is 23,3 minutes and the longest in pharmacy is 121,3 minutes. Value added activities amounted to 13,5 % and non-value added activities amounted to 86,5%. The value-to-waste ratio is 15.2%. This shows that the service is not yet in a lean condition. Waste found is defect, transportation, motion, waiting and over processing. Future state analysis with the application of lean methods can reduce non-value added to 75% and if digitalization of drug delivery is added, non-value added will decrease to 66%. The researcher's proposal is to make short, medium and long term improvements through a sustainable lean method implementation program.
