scholarly journals Analisis Perhitungan Kapitasi pada Fasilitas Kesehatan Tingkat Pertama yang Bekerja Sama dengan BPJS Kesehatan KCU Kota Bogor Tahun 2015

2017 ◽  
Vol 2 (1) ◽  
Author(s):  
Ayu Novia Kurnia ◽  
Atik Nurwahyuni

 Abstrak Berdasarkan PMK No. 69 Tahun 2013, tarif kapitasi ditetapkan sama untuk semua kelompok umur, hanya dibedakan antar FKTP. Tarif kapitasi tersebut tidak disesuaikan dengan risiko individu. Penelitian ini bertujuan untuk menghitung tarif kapitasi berdasarkan risiko umur menggunakan metode penelitian cross sectional. Hasil dari penelitian ini yaitu tarif kapitasi berdasar­kan kelompok umur pada puskesmas, DPP, dan klinik. Hasil tarif kapitasi tersebut menunjukkan bahwa terdapat perbedaan tarif antar kelompok umur dengan kapitasi tertinggi terdapat pada kelompok umur 0-4 dan ≥ 50 tahun dan tarif kapitasi cenderung turun pada kelompok umur produktif. Abstract Based on PMK No. 69 in 2013, capitation is set at the same tariff for all age groups and only distinguished for each primary health care. Capitation is not adjusted by individual risk. This study aimed to calculate the capitation by age, using cross sectional design. The result of this study was capitation by age groups at the primary health care level. It was indicated that there was different capitation between age groups, with higher capitation observed in the age group of 0-4 and ≥50 years old and declining in productive age.

2017 ◽  
Vol 2 (1) ◽  
Author(s):  
Ayu Novia Kurnia ◽  
Atik Nurwahyuni

 Abstrak Berdasarkan PMK No. 69 Tahun 2013, tarif kapitasi ditetapkan sama untuk semua kelompok umur, hanya dibedakan antar FKTP. Tarif kapitasi tersebut tidak disesuaikan dengan risiko individu. Penelitian ini bertujuan untuk menghitung tarif kapitasi berdasarkan risiko umur menggunakan metode penelitian cross sectional. Hasil dari penelitian ini yaitu tarif kapitasi berdasar­kan kelompok umur pada puskesmas, DPP, dan klinik. Hasil tarif kapitasi tersebut menunjukkan bahwa terdapat perbedaan tarif antar kelompok umur dengan kapitasi tertinggi terdapat pada kelompok umur 0-4 dan ≥ 50 tahun dan tarif kapitasi cenderung turun pada kelompok umur produktif. Abstract Based on PMK No. 69 in 2013, capitation is set at the same tariff for all age groups and only distinguished for each primary health care. Capitation is not adjusted by individual risk. This study aimed to calculate the capitation by age, using cross sectional design. The result of this study was capitation by age groups at the primary health care level. It was indicated that there was different capitation between age groups, with higher capitation observed in the age group of 0-4 and ≥50 years old and declining in productive age.


2014 ◽  
Vol 20 (6) ◽  
pp. 300-306 ◽  
Author(s):  
Leigh Biagio ◽  
De Wet Swanepoel ◽  
Claude Laurent ◽  
Thorbjörn Lundberg

Author(s):  
Sara Shoman ◽  
Tamer Emara ◽  
Heba Gamal Saber ◽  
Mohamed Allam

Background: Telehealth is delivering health care services remote from healthcare facilities using telecommunications and virtual technology. Egypt is aiming to reach Universal Health Coverage; this increases the demand of telehealth in routine health services. Telehealth benefits are increasing access to expertise in difficultly reached geographical areas with no available medical teams and may be used as fast first aid. It could also minimize costs of hospitals, as patients can be monitored remotely even from home. As for barriers, especially in developing countries, are the unavailable infrastructure and the resistance of patients. Objective: To measure the awareness of telehealth among attendees of primary health care units and their acceptance of application of telehealth. Methodology: This was a cross sectional study among attendees of primary health units. A sample size was calculated to be 162. A valid Arabic interview questionnaire was designed, and 170 questionnaires were filled by attendees. Ethical issues were considered. Results: Awareness percentage of telehealth among attendees was 64.7% while willingness to implement telehealth was 78%. Both awareness and willingness were significantly associated with age groups, residence, socioeconomic status and presence of computer with net access. Conclusion: It is concluded that a large percentage of attendees to primary health care centers are aware of telehealth and are willing to implement it. The major cause of refusal to implement telehealth was due ignorance of using telecommunication devices and the desire to be in close contact with the physicians.


2009 ◽  
Vol 15 (2) ◽  
pp. 443-450 ◽  
Author(s):  
A.A. Mahfouz ◽  
I. Abdel Moneim ◽  
M.Y. Khan ◽  
A.A. Daffalla ◽  
M.M. Diab ◽  
...  

2020 ◽  
pp. 859-865 ◽  
Author(s):  
Mutumba Songiso ◽  
Leeya F. Pinder ◽  
Jabulani Munalula ◽  
Anna Cabanes ◽  
Sarah Rayne ◽  
...  

PURPOSE In Zambia, more than two-thirds of female patients with breast cancer present with late-stage disease, leading to high mortality rates. Most of the underlying causes are associated with delays in symptom recognition and diagnosis. By implementing breast care specialty services at the primary health care level, we hypothesized that some of the delays could be minimized. METHODS In March 2018, we established a breast care specialty clinic for women with symptomatic disease within 1 of the 5 district hospitals in Lusaka. The clinic offers breast self-awareness education, clinical breast examination, breast ultrasound, ultrasound-guided breast biopsy, surgery, referral for chemoradiation, follow-up care, and electronic medical records. RESULTS Between March 2018 and April 2019, of 1,790 symptomatic women who presented to the clinic, 176 (10%) had clinical and/or ultrasound indications for histologic evaluation. Biopsy specimens were obtained using ultrasound-guided core-needle procedures, all of which were performed on the same day as the initial visit. Of the 176 women who underwent biopsy, 112 (64%) had pathologic findings compatible with a primary breast cancer, and of these, 42 (37%) were early-stage (stage I/II) disease. Surgery for early-stage cancers was performed at the district hospital within 2 weeks of the time of definitive pathologic diagnosis. Patients with advanced disease were referred to the national cancer center for multimodality therapy, within a similar time frame. CONCLUSION Breast care specialty services for symptomatic women were established in a district-level hospital in a resource-constrained setting in Africa. As a result, the following time intervals were minimized: initial presentation and performance of clinical diagnostics; receipt of a definitive pathologic diagnosis and initiation of surgery; receipt of a definitive pathologic diagnosis and referral.


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