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Setiap tahun diperkirakan terdapat S00 ribu kasus kanker leher rahim baru di seluruh dunia dan sebanyak 240 ribu orang diantaranya meninggal dunia. Di Indonesia ada I5 ribu kasus baru per tahun dengan angka kematian 8000 orang dan menduduki peringkat pertama dari seiuruh penderita kanker yang ada. Penyebab kanker leher rahim belum diketahui secara pasti, tetapi diduga bahwa sejenis virus HPV (Human Papiiloma Wrus) memegang peranan penljng atas kejadian penyakit ini. Menumt data Yayasan Kanker Indonesia (YKI), 95% tumor ganas ini disebabkan virus HPV. Peningkatan biaya pelayanan kesehatan biasanya disebabkan karena bclum adanya harga standar yang berdasarkan unit cost. Hal ini perlu disikapi dengan membuat terobosan ataupun strategi penyusunan pqla tarifyang dikenal dengan perhitungan uni: cost. I-Iingga saat ini Departemen Kesehatan belum membuat pedoman tarif yang bersifat tetap per diagnosis penyakit atau per episode penyakit. Upaya yang perlu dilakukan untuk mengendalikan biaya pelayanan kesehatan (cost containment) adalah dari bentuk fee for service ke bentuk Prospective Payment System (PPS). Salah satu bentuk dari PPS adalah Diagnosis Related Groups. Cos! of DRGS adalah kcsclumhan biaya mulai dari pasien masuk melakukan pendaliaran, penegakan diagnosis, terapi dan pulang yang semuanya teranglcum dalam suatu alur perawatan atap disebut dengan Inlegraled Clinical Pathway. Tujuan dari penelitian ini adalah untuk melihat bagaimana cost of treatment Ca Cervix berdasarkan DRGS di Rumah Sakit Pertamina Jaya tahun 2005. Dipilihnya Ca cervix dalam penelitian ini karena kanker adalah penyakit nomor 10 dari 10 besar penyakit terbanyak, diantara penderita kanker, Ca cervix mempakan penyakit kanker terbanyak yang melakukan rawat inap. Bersama-sama dengan gagal ginjal kronis, kanker merupalcan penyakit yang membumhkan biaya tidak sedikit. Penelitian ini menggunakan metode studi kasus dengan rancangan penelitian kuantitatif survey. Penelitian dilaksanakan dari bulan Maret sampai Mei 2007 dengan menggunakan data sekunder dari rekam medis pasien rawat inap dengan diagnosa Ca Cervix tahun 2005. Unit cos! dihitung dengan metode Activily Based Cosiing (ABC). Analisa data dilakukan secam univariat untuk melihat distribusi frekuensi dan proporsi masing-masing variabel. Pengelompokkan Ca cervix di Rumah Sakit Pertamina tidak dapat dikelompokkan dalam AR-DRG. Pengelompokan Ca Cervix di Rumah Sakit Pertamina Jaya adalah : Ca Cervix dengan penyerta dan penyulit dengan histerektomi, Ca cervix dengan penyakit penyerta dengan histerektomi dan Ca Cervix tanpa penyerta dan penyulit dengan histerektomi. Berdasarkan dari hasil penelitian didapatkan bahwa tahap da.lam Clinical Paihway untuk Ca Cervix tefdiri dari 7 tahap, yaitu pendaflaran, penegal-Lkan diagnosa, pra operasi, operasi, post operasi, pulang dan rawat jalan. Cost of treatment Ca cervix dengan histerektomi di RS Pertamina Jaya tahun 2005 adalah : (1) Biaya rawat inap Ca cervix dengan penyerta dan penyulit dengan histcrcktomi Rp l3_009.563,-, dengan lama hari rawat 12 hari dan biaya rawat jalan Rp 3_956.498,- dengan rawat jalan 12 kali, total biaya Rp l6.983.47l,- (2) Biaya rawat inap Ca cervix clengan penyakit penyerta dengan histerektomi Rp ll_446_664,-, dengan lama hari rawat I2 hari dan biaya rawat jalan Rp 3.925.735,- dengan rawat jalan 12 kali, total biaya Rp 15_389_809,- (3) Biaya rawat inap Ca cervix tanpa penyerla dan penyulit dengan histerektomi Rp I0.048.274,-, dengan lama hari rawat ll hari dan biaya rawat jalan Rp 3.544.070,- dengan rawatjalan 12 kali, total biaya Rp 13.6097/54,-_Berdasarkan dari hasil penelitian maka. perlu dilakukan perhitungan biaya rawat inap berdasarkan Diagnosis Relafed Groups Sebagai dasar peneiapan tarif rawat inap.
Every year was predicted S00 thousand new carcinoma cervix occurred in all over the world and 240 thousand people in between did not survive. In Indonesia itself; there are 15 thousand new cases per year with 8000 people causing decease and stood first rank from suffering of cancer in the world. The major causing of Ca cervix is still unknown but was predicted that the HPV (Human Papilloma Wrus) hold important role for every cancer disease cases occurred. Based on Indonesian Cancer Foundation (YKI), 95 percent maligna tumor was affected by HPV virus. Cost increasing in health services are usually cause by no standard unit cost available. This has to be done with new break through or even with designing strategy format tariff which lcnown as unit costs calculation. Until now Health Departement does not have fixed tariff book for every single diagnose or episode. Things to be done to control health services cost containment are form tiom fee for service to be Prospective Payment System (PPS). One of' PPS form is Diagnosis Related Groups. Cost of DRGS are a total costs which start from patient entering registration, diagnosis, therapy to finally ending treatment or going home and all summarize in one record or knoum as Integrated Clinical Pathway. The purpose of this research is to overlook how cost of treatment Ca cervix works based on DRGs in Pertamina Jaya Hospital in year 2005. Ca cervix are chosen in this research because cancer disease is rank number I0 from top 10 disease in between cancer suitering. Ca cervix is the most cancer disease which end up in-patient together with chronic renal failure, cancer disease need higher amount to recovery. This research is using case study methode with form of quantitative survey. This research conducted in moth of March to May 2007 using secondary data fiom medical record of in-patient which Ca cervix diagnosed in year 2005. Unit cost calculated using Activity Based Costing (ABC) methode. Data analysis were conducted in invariant to overlook frequent distribution ang proportion each variables. Ca cervix cannot be grouping based on AR-DRG at Pertamina Jaya Hospital. Ca cervix grouping at Pertamina Jaya Hospital are : Ca cervix with Contributing and Complicating disease with hysterectomy, Ca cervix with Contributing disease with hysterectomy, Ca cervix without Contributing and Complicating disease with hysterectomy. Based on research is result that steps on Clinical Pathway for Ca cervix are contains 7 steps which are, registering, diagnosis, pre-operation, operation, post-operation, going home and out-patient treatment. Ca cervix costs of treatments following hysterectomy at Pcrtamina Jaya Hospital in year 2005 are 1 (I) Ca cervix with contributing and complicating disease with hysterectomy costs Rp l3_009.563,- , containing I2 days in-patent and 12 times out-patient visite costing in extra Rp 3.956_498,- with total cost Rp l6.983_47l,- (2) Ca cervix with contributing disease with hysterectomy cost Rp 1 l.446.664,- containing 12 days in-patent and 12 times out-patient visite costing in extra Rp 3925.73 5,- with total cost Rp l5.389.809,- (3) Ca cervix without Contributing and Complicating disease with hysterectomy cost Rp l0.048.274,- , containing ll days in-patent and 12 times out-patient visite costing in extra Rp 3.544.070,- with total cost Rp 13.609_754,-. In conclusion to the research resulted it is necessary to calculated in-patient cost based on Diagnosis Related Grozms as the based of in-patient fixed tariff.
Penelitian ini dilakukan untuk menganalisa alur proses yang adasekaligus memberikan usulan perbaikan agar proses pemulangan pasien rawatinap menjadi lebih cepat. Desain penelitian ini adalah analisis kualitatif denganmetode lean thinking melalui telaah dokumen, wawancara mendalam danobservasi.
Hasil penelitian didapatkan lead time atau waktu yang dibutuhkan untuk pemulangan pasien adalah 252,4 menit (4,2 jam). Total waktu kegiatanyang bersifat value added 168 menit, sedangkan total waktu kegiatan yangbersifat non value added adalah 84,4 menit. Dari identifikasi nilai yang dilakukanterhadap alur proses pemulangan pasien ini ditemukan waste sebesar 63,6 menityang bila bisa dihilangkan akan memotong lead time menjadi 188,3 menit (3,1jam).
Keyword : lean thinking, pemulangan pasien rawat inapUniversitas Indonesia
Process of discharging hospitalized patient is part of service given by the hospital.A Good and satisfying service during hospitalization can turn into unsatisfiedperception if at the end of hospitalization there is obstacle in discharging patientand make the process longer.
This research is to analyze the process and give agood suggestion for discharging inpatient process in order to make it moreefficient. Design of this research is lean thinking method using document analysis, interview, and observation.
Result of the research indicating lead time or timeneeded for discharging patient is 252.4 minutes (4.2 hours). Total activity timewhich is value added is 168 minute, while total activity time which is non valueadded is 84.4 minute. Base on this value identification found waste value time63.6 minute can be diminished and cutting lead time to 188.4 minute (3.1hour).
Keyword : lean thinking, discharging inpatient.
Malaria masih menjadi masalah kesehatan masyarakat di wilayah timur Indonesia. Penelitian ini bertujuan menganalisis faktor-faktor yang berhubungan dengan kejadian malaria di Tanah Papua berdasarkan data Survei Kesehatan Indonesia (SKI) 2023. Penelitian ini menggunakan desain cross-sectional analitik dengan pendekatan kasus dan non-kasus. Data berasal dari SKI 2023 yang mencakup 37.036 responden dari wilayah Papua. Kasus didefinisikan sebagai individu yang mengalami malaria dalam
Malaria remains a public health issue in eastern Indonesia. This study aimed to analyze factors associated with malaria incidence in Tanah Papua based on data from the 2023 Indonesia Health Survey (SKI 2023). The study employed an analytical cross-sectional design with a case and non-case approach. The data were drawn from SKI 2023 and included 37,036 respondents from the Papua region. A malaria case was defined as an individual who had experienced malaria within the past month. Analyses were conducted using univariate, bivariate, and multivariate methods with logistic regression to calculate the Prevalence Odds Ratio (POR). The malaria prevalence was recorded at 4.80%. Factors significantly associated with malaria incidence included education level, type of occupation, household size, and interactions between age and sex, ventilation and bed net use, as well as age and mosquito repellent use. The strongest association was observed in the interaction between age and sex, in which males aged over 46 years had 2.85 times higher odds of having malaria compared to female children under five years. Malaria incidence in Tanah Papua remains high and is influenced by a complex interplay of individual characteristics and environmental factors, including preventive behaviors.
