Ditemukan 6 dokumen yang sesuai dengan query :: Simpan CSV
Produktivitas dokter gigi sangat krusial dalam pemberian layanan kesehatan gigi kepada pasien. Dokter gigi juga harus menjalankan peran lain di pusksemas. Dokter gigi harus dapat menjawab tantangan ini dengan tetap mempertahankan produktivitasnya. Penelitian ini mengukur produktivitas dokter gigi di kecamatan Palmerah, Jakarta Barat. Rasio produktivitas dihitung dengan determinan dari dua faktor individu (jenis kelamin, umur, masa kerja, pelatihan, kehadiran dan status pegawai) dan organisasi (Jumlah Kunjungan pasien, Jumlah dental unit, tunjangan kinerja dan kepesertaan JKN). Menggunakan metode observasional analitik dengan desain cross sectional. Pengukuran produktivitas menggunakan metode Ilyas, dengan penghitungan jumlah kunjungan pasien dibagi dengan hari kerja dokter gigi di tahun 2023. Jumlah kunjungan pasien dan kepesertaan menjadi faktor tingginya produktivitas dokter gigi sedangkan faktor umur, jenis kelamin, masa kerja, pelatihan, jumlah dental unit dan tunjangan kinerja tidak ditemukan korelasi yang signifikan. Untuk produktivitas tertinggi di angka 13,25 dan terendah di angka 0,61, dengan rerata nilai 6,68. Produktivitas dokter gigi PNS sebesar 3,81 kurang dari setengah rasio Non PNS yang mencapai 8,48. Gap produktivitas ini merupakan konsekuensi rangkap jabatan fungsional dokter gigi PNS dan tugas strukturalnya. Untuk menjalankan dua fungsi ini secara seimbang, disarankan untuk membuat standar minimal jumlah pasien gigi harian dan pengukuran produktivitas dokter gigi secara periodik.
The productivity of dentists is crucial in providing dental health services to patients. Dentists also have other roles to play in community health centers. Dentists must be able to respond to these challenges while maintaining their productivity. This study measures the productivity of dentists in the Palmerah district, West Jakarta. Productivity ratios are calculated based on determinants from two individual factors (gender, age, length of service, training, attendance, and employment status) and organizational factors (number of patient visits, number of dental units, performance benefits, and participation in national health insurance). The study uses an analytical observational method with a cross-sectional design. The measurement of productivity uses the Ilyas method, by calculating the number of patient visits divided by the number of working days of the dentist in 2023. The number of patient visits and participation are factors contributing to the high productivity of dentists, while factors such as age, gender, length of service, training, the number of dental units, and performance allowances were not found to have a significant correlation. The highest productivity is at 13.25 and the lowest at 0.61 with an average value of 6.68. Civil servant dentist productivity is at 3.81, less then of non-civil servant dentists with 8.48. This gap is a consequence of the multiple functional roles and structural duties especially for civil servant dentists. To balance these two roles, it is recommended to establish minimum standards for daily dental patient numbers and periodically measure dentist productivity.
The choice of a doctor's career is very important in the effort to fulfill quality health services, considering the existence of a doctor in basic health care is vital and determines the quality of health services. This study aims to determine the career choice of an internship doctor and its determinants, and how it is aligned with stakeholder policies. This study used a mix method with a parallel convergent research design. Research respondents were internship doctors in Jakarta 2020 with a research sample of 154 people and research informants were stakeholders. The results of the study found that the career choice for interns was to be specialist doctors and the choice of work was mostly in hospitals, while those who were interested in working in primary and public health services were very few, especially in Puskesmas. The results of multivariate analysis showed that there are six variables that have a statistically significant relationship: gender, university origin, place of work, income, lifestyle and family demands. Government policies together with other stakeholders are not in line with the mandate of the law to distribute health services throughout Indonesia
