Analisis Determinan Ketersediaan Dokter Spesialis dan Gambaran Fasilitas Kesehatan di RSU Pemerintah Kabupaten/Kota Indonesia (Analisis Data Rifaskes 2011)
Background: Indonesia have faced problem in specialist doctors imbalance yet. The ratio of health workers per 100.000 population has not met the target until 2010. In 2008, the ratio of health workers to medical specialist per 100.000 population amounted to 7,73 compared with the target to be achiev...
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| Main Authors: | , , |
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| Format: | Theses and Dissertations NonPeerReviewed |
| Published: |
[Yogyakarta] : Universitas Gadjah Mada
2014
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| Online Access: | https://repository.ugm.ac.id/126378/ http://etd.ugm.ac.id/index.php?mod=penelitian_detail&sub=PenelitianDetail&act=view&typ=html&buku_id=75816 |
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| Institution: | Universitas Gadjah Mada |
| Summary: | Background: Indonesia have faced problem in specialist doctors imbalance yet. The ratio of health workers per 100.000 population has not met the target until 2010. In 2008, the ratio of health workers to medical specialist per 100.000 population amounted to 7,73 compared with the target to be achieved is 9. Main factors such as underserved areas, GNP, hospital system capacity development, hospital medical equipment, and social economic, has neglected by government. Engagement of stakeholder across several and improved hospital quality system is a critical element for the success of specialist doctors dsitribution policies, in order to increase the number of specialist doctors practising in rural and remote.
Objective: To assess determinat of availability of specialist doctors in government hospitals and to find out the correlates of variabel factors.
Methods: A cross sectional design was adopted for this study in which 7 factors were chosen to assess determinant of availability of specialist doctors using a Health Facilities Research (Rifaskes) of Health Ministry 2011 and to discribe availibility of hospital facilities at The Indonesian public hospital goverment.
Results: Bivariate analysis indicated that level of district, hospital accredited, BLU versus Non-BLU, remuneration, hospital facilities, dan GNP significantly affect to the number of specialist doctors (p <0,05). Logistic regression indicated that the strongest predictors of availibility specialist is accredited public hospital with 12 standard of care (odds ratio 9,32 |
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