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Hubungan Antara Rasio Bidan Dengan Kinerja Program Kesehatan Ibu Dan Anak Di Indonesia ratna dwi wulandari; Agung Dwi Laksono
Buletin Penelitian Sistem Kesehatan Vol 22 No 3 (2019): Buletin Penelitian Sistem Kesehatan
Publisher : Pusat Penelitian dan Pengembangan Humaniora dan Manajemen Kesehatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (376.336 KB) | DOI: 10.22435/hsr.v22i3.1740

Abstract

The focus of Maternal and Child Health (MCH) performance review was based on the input ratio of midwives important for evaluation. This study was to identify the relationship between the ratio of midwives and the coverage of MCH program. The analysis involved Midwives per 100,000 population ratios as independent variables, and 5 dependent variables, namely fi rst visit (K1), fourth visit (K4), neonates visit (KN), puerperal visit (KF) and childbirth assisted by health workers. The analysis was by scatter plot diagrams. The ratio of midwives to standards was dominantlytohe West of Indonesia. Variability in the ratio of midwives between 41.53 to 225.90 midwives per 100,000 population. Jakarta, West Java, and NTB that have K1 coverage above 100%. However, the midwife ratio was below the standard. Jakarta and Jambi have K4 coverage above 100%. KN coverage above 100% was reached by Jakarta, West Java, Jambi, and Bali. Kaltara and Jakarta had KF coverage above 100%. None of province, except Jakarta, had childbirth coverage by health workers above 100%. Even though the ratio of midwives was still below the standard, some provinces were able to show better performance of MCH programs than those that met the ratio. It was necessary to expand benchmarking in provinces with good MCH program performance, though the ratio of midwives was below the standard. Abstrak Fokus kajian kinerja Kesehatan Ibu dan Anak (KIA) berdasarkan input rasio bidan penting untuk evaluasi. Tujuan penelitian untuk menjawab hubungan rasio bidan dengan cakupan program KIA. Analisis melibatkan rasio bidan per 100 ribu penduduk sebagai variabel independent, dan 5 variabel dependen, yaitu kunjungan 1 (K1), kunjungan 4 (K4), kunjungan neonatus (KN), kunjungan nifas (KF) dan persalinan yang ditolong tenaga kesehatan. Analisis hubungan dilakukan melalui diagram scatter plot. Rasio bidan sesuai standar cenderung ada di wilayah Barat. Variabilitas rasio bidan antara 41,53 sampai 225,90 bidan per 100.000 penduduk. Provinsi DKI Jakarta, Jabar, dan NTB yang memiliki cakupan K1 di atas 100%, meski rasio bidan di bawah standar. DKI Jakarta dan Jambi memiliki cakupan K4 di atas 100%. Cakupan KN di atas 100% dicapai oleh DKI Jakarta, Jabar, Jambi dan Bali. Kaltara dan DKI Jakarta memiliki cakupan KF di atas 100%. Tidak ada satu pun provinsi, kecuali DKI Jakarta, yang memiliki cakupan persalinan oleh tenaga kesehatan di atas 100%. Meski memiliki rasio bidan yang masih di bawah standar, beberapa provinsi mampu menunjukkan kinerja program KIA yang lebih baik dibanding yang sudah memenuhi rasio. Perlu lebih lanjut dengan melakukan benchmark pada provinsi yang memiliki kinerja program KIA baik, meski dengan rasio bidan di bawah standar.
Analisis Ekologi Persalinan di Fasilitas Pelayanan Kesehatan di Indonesia Agung Dwi Laksono; Christyana Sandra
Buletin Penelitian Sistem Kesehatan Vol 23 No 1 (2020)
Publisher : Pusat Penelitian dan Pengembangan Humaniora dan Manajemen Kesehatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1225.578 KB) | DOI: 10.22435/hsr.v23i1.2323

Abstract

Policies to encourage childbirth in health care facilities were emphasized to reduce maternal mortality rates that are still high in Indonesia. The study was aimed at analyzing population, socio-economic, and resource input variables related to childbirth in health care facilities. This study used an ecological study approach (an aggregate study) sourced from the 2018 Indonesia Health Profi le. Bivariate analysis was performed using scatter plots and Pearson correlation tests. The results showed a wide disparity in terms of childbirth in health care facilities coverage. Maluku was the province with the lowest coverage (45.18%), while the highest coverage was achieved by DKI Jakarta (100%). The results of scatter plots and bivariate tests showed that the more population in a province, the higher the coverage of delivery in health care facilities, the deeper and worse the poverty in a province, the lower the coverage of delivery in health care facilities. The more obstetrician and hospitals in a province, there was a tendency for coverage of births in health care facilities to be higher. In conclusion, population, the ratio of obstetricians, and the ratio of hospitals have a positive relationship with deliveries in healthcare facilities. In contrast, the Poverty Depth and Severity Index has a tendency to had a negative relationship with the coverage of deliveries in health care facilities. It was recommended that the government formulate specifi c policies to target regions with a small population, poor and have a small number of obstetricians and hospitals. Abstrak Kebijakan mendorong persalinan di fasilitas pelayanan kesehatan ditekankan untuk menurunkan angka kematian ibu yang masih tinggi di Indonesia. Studi ditujukan untuk menganalisis variabel kependudukan, sosial-ekonomi dan input sumber daya yang berhubungan dengan persalinan di fasilitas pelayanan kesehatan. Desain studi menggunakan pendekatan studi ekologi (studi agregat) bersumber data Profi l Kesehatan Indonesia Tahun 2018. Analisis bivariat dilakukan dengan menggunakan scatter plot dan uji korelasi Pearson. Hasil penelitian menunjukkan disparitas persentase cakupan persalinan ke fasilitas pelayanan kesehatan yang sangat lebar, Provinsi Maluku memiliki cakupan paling rendah (45,18%), sementara cakupan tertinggi dicapai Provinsi DKI Jakarta (100%). Hasil scatter plot dan uji bivariat menunjukkan bahwa semakin banyak jumlah penduduk pada suatu provinsi maka ada kecenderungan cakupan persalinan di fasilitas pelayanan kesehatan menjadi semakin tinggi. Semakin dalam dan parah kemiskinan pada suatu provinsi maka ada kecenderungan cakupan persalinan di fasilitas pelayanan kesehatan menjadi semakin rendah. Semakin banyak dokter spesialis obgyn dan rumah sakit pada suatu provinsi maka ada kecenderungan cakupan persalinan di fasilitas pelayanan kesehatan menjadi semakin tinggi. Disimpulkan bahwa jumlah penduduk, rasio dokter spesialis obgyn dan rasio rumah sakit (RS) memiliki hubungan positif, sementara Indeks Kedalaman dan Keparahan Kemiskinan memiliki kecenderungan hubungan negatif dengan cakupan persalinan di fasilitas pelayanan kesehatan. Disarankan pemerintah menyusun kebijakan khusus pada sasaran wilayah dengan jumlah penduduk sedikit, miskin dan memiliki dokter spesialis obgyn dan RS yang sedikit.
Does the Proximity of the Area Affect in Incidence of Stunting? : Study on Densely Populated Provinces in Indonesia Astridya Paramita; Nailul Izza; DwiHapsari Tjandrarini; Agung Dwi Laksono
Indian Journal of Forensic Medicine & Toxicology Vol. 16 No. 3 (2022): Indian Journal of Forensic Medicine and Toxicology
Publisher : Institute of Medico-legal Publications Pvt Ltd

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37506/ijfmt.v16i3.18257

Abstract

The prevalence of stunting in Indonesia is still above WHO standards, so it needs to be addressed immediately,given the adverse effects on individuals and countries. This study aims to analyze the incidence of stunting inEast Java by paying attention to the proximity of the area as an effort to solved stunting problems. The studywas conducted using secondary data from 2017 from official government agency reports. Administrative area(regency/city) analysis unit. Analysis using spatial regression test. The results show that Moran’s I test showsa spatial dependency or location autocorrelation (p <0.20). The Lagrange Multiplier SAR spatial regression testcan explain that spatial factors can increase 5% greater (75%) of the 5 selected factors that cause toddler stunting,compared to using the OLS classic regression test. It could be concluded that spatial factors, namely geographicareas, can increase the percentage of clarity in the regression modeling for the incidence of stunting in an area. Inthis study, spatial factors are known to be associated with regional proximity and ethnic similarity, namely theMadurese ethnicity.