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Kurnia Sari; Promotor: Budi Hidayat; Kopromotor: Amal Chalik Sjaaf, Mardiati Nadjib; Penguji: Prastuti Soewondo, Khoirunurrofik, Eko Setyo Pambudi, Pungkas Bahjuri Ali
Abstrak:
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Efisiensi merupakan salah satu ukuran utama dari kinerja sistem kesehatan, yang mencerminkan kemampuan sistem dalam mencapai output sistem kesehatan seoptimal mungkin dengan sumber daya yang ada. Metode dan asumsi yang digunakan dalam mengukur efisiensi teknis dapat menghasilkan skor yang berbeda, tergantung metode dan asumsi yang digunakan. Penelitian ini merupakan penelitian observasional analitik dengan pendekatan kuantitatif, menggunakan data sekunder dan informasi dari berbagai institusi sumber data. Analisis kuantitatif dilakukan dengan menggunakan dua metode pengukuran efisiensi utama, yaitu Data Envelopment Analysis (DEA) data panel serta bootstrapping, yang dilanjutkan dengan regresi data panel, dan Stochastic Frontier Analysis (SFA) dengan beberapa model. Pengukuran efisiensi teknis dilakukan dengan metode DEA orientasi output dan asumsi variable return to scale (VRS) dua tahap dengan bootstrapping, serta SFA dengan model spesifikasi Cobb-Douglas dan TransLog. Orientasi dan asumsi skala lainnya digunakan sebagai pembanding. Penelitian menggunakan variabel yang telah melalui proses seleksi literatur dan statistik dengan 1 output (umur harapan hidup) dan 4 input, yaitu belanja publik (belanja kesehatan pemerintah kabupaten kota dan belanja Jaminan Kesehatan Nasional/JKN untuk non pemerintah kabupaten kota), tenaga dokter, dan cakupan layanan lifaskes, dengan menggunakan beberapa variabel kontekstual. Hasil penelitian menujukkan perbedaan skor efisiensi yang dihasilkan dari beberapa metode pengukuran, baik dengan DEA dan SFA. Analisis dengan metode DEA menghasilkan rerata efisiensi teknis 0,76-0,99 untuk asumsi VRS orientasi Output. Sementara dengan SFA yang menggunakan tiga model pengukuram (Time invariant, fixed effect dan random effect), diperoleh skor efisiensi yaitu 0,37 sampai 0,76 pada spesifikasi Translog, dan pada spesifikasi Cobb-Douglas sebesar 0,37 sampai 0,85. Analisis tahap dua menunjukkan bahwa semakin tinggi tingkat pengangguran dan kemiskinan, semakin rendah skor efisiensi (orientasi output VRS boostrtrapped). Skor efisiensi juga rendah di wilayah geografis Pulau Maluku, Papua dan Nusa Tenggara (dibandingkan dengan Sumatera), di wilayah tertinggal, dan wilayah perkotaan, serta pada wilayah dengan bencana alama yang berdampak kepada manusia. Sementara, semakin besar rasio dana JKN yang diterima fasilitas kesehatan milik pemerintah kabupaten kota terhadap non pemerintah, semakin tinggi skor efisiensi teknis.
Efficiency is one of the main measures of health system performance, reflecting the system's ability to achieve optimal health system output with available resources. The methods and assumptions used in measuring technical efficiency can produce different scores, depending on the methods and assumptions used. This study is an analytical observational study with a quantitative approach, using secondary data and information from various data source institutions. Quantitative analysis was conducted using two main efficiency measurement methods, namely Data Envelopment Analysis (DEA) panel data and bootstrapping, followed by panel data regression, and Stochastic Frontier Analysis with several models. Technical efficiency measurement was conducted using the output-oriented DEA method and the two-stage variable return to scale assumption with bootstrapping, as well as SFA with Cobb-Douglas and TransLog specification models. Other orientation and scale assumptions were used as comparisons. The study utilised variables selected through literature and statistical analysis, comprising 1 output (life expectancy) and 4 inputs: public expenditure (government health expenditure at the district/city level and JKN expenditure for non-government entities at the district/city level), doctor workforce, and healthcare service coverage, along with several contextual variables. The results show differences in efficiency scores produced by various measurement methods, including DEA and SFA. Analysis using the DEA method yielded an average technical efficiency of 0.76–0.99 for the VRS output orientation assumption. Meanwhile, using SFA with three measurement models (time-invariant, fixed-effect, and random-effect), efficiency scores ranged from 0.37 to 0.76 under the Translog specification and from 0.37 to 0.85 under the Cobb-Douglas specification. The second-stage analysis shows that the higher the unemployment and poverty rates, the lower the efficiency scores (output-oriented VRS bootstrapped). Efficiency scores are also low in the geographical regions of Maluku, Papua, and Nusa Tenggara (compared to Sumatra), in underdeveloped regions, urban areas, and regions affected by natural disasters with human impacts. Meanwhile, the higher the ratio of JKN funds received by government-owned health facilities in cities and districts compared to non-government facilities, the higher the technical efficiency score.
D-581
Depok : FKM-UI, 2025
S3 - Disertasi Pusat Informasi Kesehatan Masyarakat
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Mahlil Ruby; Promotor: Hasbullah Thabrany; Ko-promotor: Ascobat Gani; Penguji: Budi Utomo, Stephanus Indradjaya, Soewarta Kosen, Mardiati Nadjib, Budi Hidayat
D-214
Depok : FKM-UI, 2007
S3 - Disertasi Pusat Informasi Kesehatan Masyarakat
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Djazuly Chalidyanto; Promotor: Hasbullah Thabrany; Ko-Promotor: Budi Hidayat; Penguji: Amal C. Sjaaf, Mardiati Nadjib, Arum Atmawikarta, Trihono, Sonny Harry B. Harmadi, Harimat Hendarwan
D-291
Depok : FKM-UI, 2013
S3 - Disertasi Pusat Informasi Kesehatan Masyarakat
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Wachyu Sulistiadi; Promotor: Purnawan Junadi; Ko Promotor: Anhari Achadi, Ronnie Rivany; Penguji: Budi Hidayat, Dumilah Ayuningtyas, Surya Ede Darmawan, Soewarta Kosen, Kodrat Pramudho
D-304
Depok : FKM-UI, 2014
S3 - Disertasi Pusat Informasi Kesehatan Masyarakat
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Dian Ayubi; Promotor: Soekidjo Notoatmodjo; Ko-promotor: Adang Bachtiar, Sudijanto Kamso; Penguji: Hadi Pratomo, Haryoto Kusnoputranto, Boediharto, Suprijanto Rijadi, Julitasari Soendoro
D-190
Depok : FKM-UI, 2006
S3 - Disertasi Pusat Informasi Kesehatan Masyarakat
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Semuel Piter Irab; Pembimbing: Ratna Djuwita; Penguji: Diah Mulyawati Utari, Besral, Kusharisupeni, Rita Damayanti, Sutanto Priyo Hastono, Abas Basuni Juhari, Trihono
Abstrak:
Disertasi ini adalah menggambarkan perubahan prevalensi balita stunting pada Kabupaten/Kota kategori membaik dan Kabupaten/Kota kategori memburuk di Indonesia dari tahun 2007 ke tahun 2013. Metode cross sectional studi, sampel yaitu 163 Kabupaten/Kota, sumber data sekunder Balitbangkes dan Kementerian Keuangan. Uji statistik t-test dan diskriminan. Hasil: perubahan prevalensi balita stunting pada 49 Kabupaten/Kota kategori membaik 30,1%, dan 114 Kabupaten/kota kategori memburuk 69,9%. Sembilan cakupan program kesehatan dan sosial pada Kabupaten/Kota kategori membaik yang memiliki perubahan lebih besar dari Kabupaten/Kota kategori memburuk yaitu prevalensi BBLR, cakupan penimbangan balita ≥ 4 kali, cakupan vitamin A, cakupan imunisasi lengkap, persentase ketersediaan air bersih, persentase pengelolaan sampah diangkut petugas kebersihan, persentase ketersediaan jamban keluarga, persentase cuci tangan pakai sabun, dan persentase KK pegawai negeri sipil. Lima cakupan program kesehatan dan sosial pada Kabupaten/Kota ketegori memburuk yang perubahannya tidak jauh berbeda dari Kabupaten/Kota kategori membaik yaitu cakupan ANC-K4, prevalensi KEK ibu hamil, prevalensi TB-Paru balita, indeks kapasitas fiskal, dan persentase KK pendidikan tinggi. Delapan cakupan program kesehatan dan sosial dengan akurasi perubahan prevalensi balita stunting pada Kabupaten/Kota kategori membaik 83,7% dan Kabupaten kategori memburuk 92,1% yaitu cakupan timbangan balita ≥ 4 kali, cakupan imunisasi lengkap, cakupan ANC-K4, persentase sampah diangkut petugas kebersihan, persentase ketersediaan jamban keluarga, persentase cuci tangan pakai sabun, indeks kapasitas fiskal, dan persentase KK PNS
This dissertation is describing changes in the prevalence of stunting toddlers the Regencies/ Cities category improves and deteriorates in Indonesia, from 2007 to 2013. Cross sectional study method, samples are 163 Regencies/Cities, secondary data source Balitbangkes and Ministry of Finance. T-test and discriminant statistical test. Results: changes in the prevalence of stunting toddlers 49 Regencies/Cities category improved 30.1%, and 114 Regencies/Cities category deteriorated 69,9%. Nine coverage of health and social programs the Regencies/Cities category improved which has a change greater than Regencies/Cities category deteriorated namely the prevalence of LBW, toddler weighing coverage ≥ 4 times, vitamin A coverage, complete immunization coverage, percentage of availability of clean water, percentage of waste management carried by janitors, percentage of availability of family latrines, percentage of hand washing with soap, and the percentage of family heads of civil servants. Five coverage of health and social programs in the Regencies/Cities category deteriorated, whose changes are not much different from the Regencies/Cities category improved namely ANC-K4 coverage, prevalence of less chronic energy in pregnant women, prevalence of toddler pulmonary TB, fiscal capacity index, and the percentage of family heads of higher education. Eight coverage of health and social programs with accuracy changes in the prevalence of stunting toddlers at the Regencies/ Cities category improved 83,7% and Regencies/Cities category deteriorated 92.1% namely toddler weighing coverage ≥ 4 times, complete immunization coverage, ANC-K4 coverage, percentage of waste management carried by janitors, percentage of availability of family latrines, percentage of hand washing with soap, fiscal capacity index, and the percentage of family heads of civil servants
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This dissertation is describing changes in the prevalence of stunting toddlers the Regencies/ Cities category improves and deteriorates in Indonesia, from 2007 to 2013. Cross sectional study method, samples are 163 Regencies/Cities, secondary data source Balitbangkes and Ministry of Finance. T-test and discriminant statistical test. Results: changes in the prevalence of stunting toddlers 49 Regencies/Cities category improved 30.1%, and 114 Regencies/Cities category deteriorated 69,9%. Nine coverage of health and social programs the Regencies/Cities category improved which has a change greater than Regencies/Cities category deteriorated namely the prevalence of LBW, toddler weighing coverage ≥ 4 times, vitamin A coverage, complete immunization coverage, percentage of availability of clean water, percentage of waste management carried by janitors, percentage of availability of family latrines, percentage of hand washing with soap, and the percentage of family heads of civil servants. Five coverage of health and social programs in the Regencies/Cities category deteriorated, whose changes are not much different from the Regencies/Cities category improved namely ANC-K4 coverage, prevalence of less chronic energy in pregnant women, prevalence of toddler pulmonary TB, fiscal capacity index, and the percentage of family heads of higher education. Eight coverage of health and social programs with accuracy changes in the prevalence of stunting toddlers at the Regencies/ Cities category improved 83,7% and Regencies/Cities category deteriorated 92.1% namely toddler weighing coverage ≥ 4 times, complete immunization coverage, ANC-K4 coverage, percentage of waste management carried by janitors, percentage of availability of family latrines, percentage of hand washing with soap, fiscal capacity index, and the percentage of family heads of civil servants
D-408
Depok : FKM-UI, 2019
S3 - Disertasi Pusat Informasi Kesehatan Masyarakat
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Theresia Natalia Seimahuira; Promotor: Sabarinah; Kopromotor: Agustin Kusumayati, Asih Setiarini; Penguji: Besral, Helda, Dede Anwar Musadad, Trihono, Teti Tejayanti, Christina Rialine Titaley
Abstrak:
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Anemia pada ibu hamil sebagai masalah kesehatan masyarakat dan penyumbang angka kematian ibu di Indonesia menjadi perhatian bagi pemerintah. Terlebih dengan jumlah populasi yang tinggi serta luas wilayah Indonesia yang terdiri dari ratusan kabupaten/kota sehingga terjadinya disparitas wilayah. Tujuan penelitian ini untuk pengelompokan kabupaten/kota menurut determinan anemia pada ibu hamil. Penelitian ini adalah penelitian kuantitatif dengan desain cross sectional menggunakan data Riskesdas 2018-Susenas 2018 dan Rifaskes 2019. Sampel pada penelitian ini adalah ibu hamil yang melakukan pemeriksaan hemoglobin pada saat ante natal care. Data set yang dibuat pada tingkat individu untuk menganalisis determinan anemia pada ibu hamil berdasarkan faktor risiko anemia dan data set pada tingkat kabupaten/kota untuk analisis pengelompokkan (analisis klaster) dengan metode hirarkial. Analisis selanjutnya untuk melihat ketidakmerataan yang terjadi di wilayah Indonesia menggunakan analisis HEAT (Health Equity Assesment Toolkit) Plus sederhana yang dikembangkan oleh World Health Organization (WHO). Hasil penelitian menunjukkan bahwa determinan anemia ibu hamil tahun 2018 adalah usia kehamilan (AOR:0.265), perilaku higienis (AOR:0,337), pembuangan air limbah (AOR:2,583), air minum (AOR:3,480), riwayat ISPA (AOR:4,610), riwayat jantung (AOR:10,680) dan tablet tambah darah (TTD) (AOR:2,411). Dan untuk analisis pengelompokan berdasarkan determinan anemia pada ibu hamil ini, diperoleh 3 klaster dari 74 kabupaten/kota. Dan yang menjadi prioritas wilayah dan program adalah klaster wilayah 1. Dari hasil ini diasumsikan bahwa wilayah berdekatan belum tentu memiliki karakteristik serupa. Untuk hasil analisis ketidakmerataan diperoleh dimensi area of residence dengan nilai D 2,2 dan nilai R 0,9, serta dimensi sosial economic dengan nilai D 13,6 dan nilai R 1,4. Sehingga disimpulkan bahwa indikator anemia pada ibu hamil, dimensi sosial ekonomi yang paling tinggi mengalami ketidakmerataan di Indonesia. Kata kunci Anemia pada ibu hamil, determinan anemia, klaster, inequity
Anemia in pregnant women is a public health concern in Indonesia and contributes to maternal mortality. Regional disparities exist due to the high population and large area of the country, consisting of hundreds of districts and cities. This study aims to group districts and cities based on the determinants of anemia in pregnant women. This is a quantitative study with a cross-sectional design that uses data from Riskesdas 2018-Susenas 2018 and Rifaskes 2019. The study focuses on pregnant women who underwent hemoglobin checks during antenatal care. Individual-level datasets were created to analyze the determinants of anemia in pregnant women based on anemia risk factors. Additionally, district/city-level datasets were used for cluster analysis employing the hierarchical method. To analyze inequality in Indonesia, we used the HEAT (Health Equity Assessment Toolkit) Plus analysis developed by the World Health Organization (WHO). The study found that several factors were associated with anemia in pregnant women in 2018, including gestational age (AOR: 0.265), hygienic behavior (AOR: 0.337), waste water disposal (AOR: 2.583), drinking water (AOR: 3.480), history of acute respiratory infection (AOR: 4.610), heart disease (AOR: 10.680), and use of blood supplement tablets (AOR: 2.411). In addition, three distinct clusters were identified among the 74 districts/cities studied in the clustering analysis based on these determinants. The priority area and program are located in cluster area 1. It is important to note that areas that are adjacent to each other do not necessarily share similar characteristics. The inequality analysis revealed a D value of 2.2 and an R value of 0.9 for the area of residence dimension, and a D value of 13.6 and an R value of 1.4 for the socioeconomic dimension. It is concluded that the socioeconomic dimension has the highest inequality as an indicator of anemia in pregnant women in Indonesia. Keywords: Anemia in pregnant women, determinants of anemia, clusters, inequity
D-511
Depok : FKM-UI, 2024
S3 - Disertasi Pusat Informasi Kesehatan Masyarakat
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Musafah; Promotor: Tris Eryando; Kopromotor: Martya Rahmaniati Makful, Meiwita Paulina Budiharsana; Penguji: Besral, Kemal Nazaruddin Siregar, Wendy Hartanto, Sudibyo Alimoeso
Abstrak:
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Unmet need KB di Indonesia belum mencapai target khususnya di Pulau Kalimantan. Penurunan unmet need KB dapat mencegah kematian ibu. Adanya desentralisasi menuntut pemerintah daerah membuat kebijakan kesehatan seperti program KB. Analisis spatio-temporal dibutuhkan untuk menyelidiki unmet need KB yang berguna untuk memantau program KB. Tujuan penelitian ini adalah mengetahui pola spasial dan faktor-faktor yang mempengaruhi unmet need KB tahun 2018-2021 di tingkat Kabupaten/Kota di Pulau Kalimantan, Indonesia. Studi ekologi dilakukan pada 56 Kabupaten/kota di Pulau Kalimantan pada tahun 2018-2021. Data berbentuk agregat dan bersumber dari Laporan Pengendalian dan Pelayanan Kontrasepsi BKKBN, Buku Publikasi Badan Pusat Statistik (BPS) dan Website Dewan Jaminan Sosial Sistem Informasi Terpadu. Analisis data dengan menggunakan Geographically Temporal Weighted Regression. Hasil penelitian menunjukkan Bulungan, Malinau, Nunukan, Tana Tidung, Kota Tarakan, Bontang, Kutai Kartanegara, dan Kutai Timur konsisten berada pada klaster I (High-high) pada tahun 2018-2021. Pemodelan unmet need KB yang didapatkan pada tingkat Kabupaten/kota di Pulau Kalimantan selama 2018-2021 adalah kemiskinan, pendapatan, non cakupan JKN, rasio praktik bidan mandiri, rasio faskes KB pemerintah, rasio faskes KB swasta, rasio penyuluh KB dengan nilai adjusted R square sebesar 46,06%. Kemiskinan berpengaruh dalam meningkatkan unmet need KB di 43 Kabupaten/Kota (76,8%) di Pulau Kalimantan, Indonesia selama 2018-2021. Non cakupan JKN berpengaruh dalam meningkatkan unmet need KB di 35 Kabupaten/kota (62,5%) di Pulau Kalimantan, Indonesia selama 2018-2021. Rasio praktik bidan mandiri, rasio faskes KB pemerintah dan rasio faskes KB swasta berpengaruh terhadap unmet need KB tetapi belum dapat menurunkan unmet need KB di Pulau Kalimantan, Indonesia selama 2018-2021. Rasio penyuluh KB berpengaruh dalam menurunkan unmet need KB di 22 Kabupaten/kota (39,3%) di Pulau Kalimantan, Indonesia selama 2018-2021. Berdasarkan hasil penelitian tersebut direkomendasikan kepada SKPD-KB di Kabupaten/kota untuk memprioritaskan program KB pada penduduk miskin dalam menurunkan unmet need KB dengan mendekatkan program KB seperti pelayanan KB dan penyuluhan KB khususnya pada Kabupaten/kota yang konsisten tergolong kemiskinan tertinggi selama 2018-2021, yaitu Kapuas Hulu, Melawi, Kayong Utara, Paser, Kutai Barat, Kutai Timur, Mahakam Ulu dan Bulungan.
Unmet need for family planning in Indonesia has not yet reached the target, especially on the island of Kalimantan. Reducing the unmet need for family planning can prevent maternal deaths. Decentralization requires local governments to create health policies such as family planning programs. Spatio-temporal analysis is needed to investigate unmet need for family planning which is useful for monitoring family planning programs. The aim of this research is to determine the spatial patterns and factors that influence the unmet need for family planning in 2018-2021 at the district/city level on the island of Kalimantan, Indonesia. Ecological studies were carried out in 56 districts/cities on Kalimantan Island in 2018-2021. Aggregate data is used and comes from the BKKBN Contraception Control and Services Report, the Central Statistics Agency (BPS) Publication Book and the Social Security Council's Integrated Information System Website. Data analysis using Geographically Temporal Weighted Regression. Poverty has an influence in increasing the unmet need for family planning in 43 districts/cities (76.8%) on Kalimantan Island, Indonesia during 2018-2021. Non-coverage of JKN has an influence in increasing the unmet need for family planning in 35 regencies/cities (62.5%) on Kalimantan Island, Indonesia during 2018-2021. The ratio of independent midwife practices, the ratio of government family planning health facilities and the ratio of private family planning health facilities have an influence on the unmet need for family planning but have not been able to reduce the unmet need for family planning on the island of Kalimantan, Indonesia during 2018-2021. The ratio of family planning instructors has an influence in reducing the unmet need for family planning in 22 districts/cities (39.3%) on Kalimantan Island, Indonesia during 2018-2021. Based on the results, it is recommended for SKPD-KB in districts/cities to prioritize family planning programs for the poor in reducing the unmet need for family planning by bringing family planning programs closer together such as family planning services and family planning counseling, especially in districts/cities which consistently have the highest poverty level during 2018-2021 namely Kapuas Hulu, Melawi, North Kayong, Paser, West Kutai, East Kutai, Mahakam Ulu and Bulungan.
D-510
Depok : FKM-UI, 2024
S3 - Disertasi Pusat Informasi Kesehatan Masyarakat
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Nina Fentiana; Promotor: Trini Sudiarti; Kopromotor: Endang Laksminingsih, Besral; Penguji: Kusharisupeni, Diah M. Utari, Hardinsyah, Fasli Jalal, Arum Atmawikarta
Abstrak:
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Stunting anak 0-23 bulan di Indonesia merupakan masalah kesehatan masyarakat yang disebabkan oleh berbagai faktor langsung dan tidak langsung. Penelitian menggunakan data Riset Kesehatan Dasar, Survey Sosial Ekonomi Nasional dan Produk Domestik Regional Bruto per kapita tahun 2018 dengan pendekatan potong lintang bertujuan mengetahui model jalur hubungan langsung dan tidak langsung berbagai faktor risiko stunting dengan prevalensi stunting tingkat kabupaten/kota. Pengolahan data sekunder dilakukan pada Januari-April 2022. Sampel adalah 106 kabupaten/kota prevalensi stunting <20% dan 403 kabupaten/kota prevalensi stunting ≥20% (20%-<30%, 30%-40% dan >40%) yang diagregratkan pada tingkat kabupaten/kota dari 32.095 data individu anak usia 0-23 bulan yang diukur panjang badannya. Pemodelan menggunakan analisis jalur. Model jalur pencegahan risiko stunting memperlihatkan akses terhadap makanan (r=-0,31) dan pemeriksaan kehamilan (r=-0,29) berhubungan langsung dengan prevalensi stunting tingkat kabupaten/kota di kabupaten/kota prevalensi stunting <20%. Keluarga Berencana (r=-0,15), pemeriksaan kehamilan (r=-0,13) dan cuci tangan pakai sabun (r=-0,11) berhubungan langsung dengan prevalensi stunting tingkat kabupaten/kota di kabupaten/kota prevalensi stunting ≥20%. Tablet tambah darah ibu hamil (r=-0,02) dan inisiasi menyusu dini (r=-0,03) berhubungan tidak langsung melalui ASI eksklusif dengan prevalensi stunting tingkat kabupaten/kota di kabupaten/kota prevalensi stunting 20%-<30%. ASI eksklusif (r=-0,15) berhubungan langsung dengan prevalensi stunting tingkat kabupaten/kota di kabupaten/kota prevalensi stunting 20%-<30%. Cuci tangan pakai sabun berhubungan signifikan langsung dengan prevalensi stunting tingkat kabupaten/kota di kabupaten/kota prevalensi stunting 30%-40% (r=-0,22) dan >40% (r=-0,45). Model jalur menyimpulkan bahwa kabupaten/kota dapat memainkan peran penting dalam upaya pencegahan risiko stunting dengan memodifikasi sejumlah faktor risiko terutama pada keluarga anak 0-23 bulan.
Stunting in children 0-23 months in Indonesia is a public health problem caused by various direct and indirect factors. This study uses data from Basic Health Research, National Socio-Economic Survey and Gross Regional Domestic Product per capita in 2018 with a cross-sectional approach. Secondary data processing was carried out in January-April 2022. The samples were 106 districts/cities with stunting prevalence <20% and 403 districts/cities with stunting prevalence 20% (20%-<30%, 30%-40% and >40%) Aggregated at the district/city level from 32,095 individual data for children aged 0-23 months, whose body length was measured. The modeling uses path analysis. The stunting risk prevention pathway model shows that access to food (r=-0.31) and prenatal care (r=-0.29) is directly related to the prevalence of stunting at the district/city level in districts/cities with stunting prevalence <20%. Family planning (r=-0.15), pregnancy check-ups (r=-0.13) and hand washing with soap (r=-0.11) were directly related to the prevalence of stunting at the district/city level in districts/cities stunting prevalence 20 %. Blood supplement tablets for pregnant women (r=-0.02) and early initiation of breastfeeding (r=-0.03) were indirectly related through exclusive breastfeeding with the prevalence of stunting at the district/city level in districts/cities stunting prevalence of 20%-<30% . Exclusive breastfeeding (r=-0.15) was directly related to the prevalence of stunting at the district/city level in the district/city stunting prevalence of 20%-<30%. Hand washing with soap is directly related to stunting prevalence at district/city level in districts/cities, stunting prevalence is 30%-40% (r=-0.22) and >40% (r=-0.45). The pathway model concludes that districts/cities can play an important role in preventing stunting risk by modifying a number of risk factors, especially in families of children 0-23 months.
D-475
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S3 - Disertasi Pusat Informasi Kesehatan Masyarakat
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Ernawaty; Promotor: Hasbullah Thabrany; Ko Promotor: Dumilah Ayuningtyas; Penguji: Purnama Junadi, Anhari Achadi, Donny Gahral Ardian, Trihono, Arum Atmawikarta
D-313
Depok : FKM-UI, 2015
S3 - Disertasi Pusat Informasi Kesehatan Masyarakat
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