TY - JOUR
T1 - Spatial Durbin Model on the Utilization of Delivery at Health Facilities
T2 - A 2017 Indonesian Demographic and Health Survey Analysis
AU - Wahyuni, Indah Sri
AU - Gustina, Ira
AU - Makful, Martya Rahmaniati
AU - Eryando, Tris
N1 - Publisher Copyright:
Copyright @ 2024, Kesmas: Jurnal Kesehatan Masyarakat Nasional (National Public Health Journal).
PY - 2024/5
Y1 - 2024/5
N2 - The utilization of delivery at health facilities is a major intervention in reducing 16 to 33% of deaths. This study aimed to determine the model of utilization of delivery at health facilities in Indonesia in 2017 and its influential factors. This study used secondary data from the 2017 Indonesian Demographic and Health Survey using a Spatial Durbin Model (SDM) approach. The population was mothers aged 15 – 49 years, spread across 34 provinces of Indonesia, and had 15,321 samples. The results showed that the Moran’s I value was positive (0.146) and significant at p-value = 0.007, indicating clustered regions with similar characteristics. The SDM modeling estimation results (R2 = 91.61%) presented those dependent and independent variables that influenced the utilization of delivery at health facilities and its influential factors. The significant and most dominant direct factor that influenced the utilization of delivery at health facilities was pregnancy visits, while the most dominant indirect factor was socioeconomic status. Therefore, further policy planning is expected to be based on regional specificities, and effective intervention programs should be designed based on these factors.
AB - The utilization of delivery at health facilities is a major intervention in reducing 16 to 33% of deaths. This study aimed to determine the model of utilization of delivery at health facilities in Indonesia in 2017 and its influential factors. This study used secondary data from the 2017 Indonesian Demographic and Health Survey using a Spatial Durbin Model (SDM) approach. The population was mothers aged 15 – 49 years, spread across 34 provinces of Indonesia, and had 15,321 samples. The results showed that the Moran’s I value was positive (0.146) and significant at p-value = 0.007, indicating clustered regions with similar characteristics. The SDM modeling estimation results (R2 = 91.61%) presented those dependent and independent variables that influenced the utilization of delivery at health facilities and its influential factors. The significant and most dominant direct factor that influenced the utilization of delivery at health facilities was pregnancy visits, while the most dominant indirect factor was socioeconomic status. Therefore, further policy planning is expected to be based on regional specificities, and effective intervention programs should be designed based on these factors.
KW - delivery
KW - health facilities
KW - Spatial Durbin Model
KW - utilization
UR - http://www.scopus.com/inward/record.url?scp=85195670063&partnerID=8YFLogxK
U2 - 10.21109/kesmas.v19i2.1279
DO - 10.21109/kesmas.v19i2.1279
M3 - Article
AN - SCOPUS:85195670063
SN - 1907-7505
VL - 19
SP - 74
EP - 80
JO - Kesmas: Jurnal Kesehatan Masyarakat Nasional
JF - Kesmas: Jurnal Kesehatan Masyarakat Nasional
IS - 2
ER -