Cargando…

Determinant Factors of Neonatal Near Miss Among Neonates in Gurage Zone Hospitals, Ethiopia: A Case-Control Study

INTRODUCTION: It is highly economical and commendable to identify the determinants of neonatal near miss which will be utilized as proxy determinants of neonatal mortality rate. However, neither determinants of neonatal mortality rate nor a determinant of a neonatal near miss are adequately investig...

Descripción completa

Detalles Bibliográficos
Autores principales: Abebe, Haimanot, Wasie, Abebaw, Yeshaneh, Alex, Shitu, Solomon, Mose, Ayenew, Adane, Daniel, Workye, Haile, Gashu, Molla
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7989378/
https://www.ncbi.nlm.nih.gov/pubmed/33776508
http://dx.doi.org/10.2147/PHMT.S302363
Descripción
Sumario:INTRODUCTION: It is highly economical and commendable to identify the determinants of neonatal near miss which will be utilized as proxy determinants of neonatal mortality rate. However, neither determinants of neonatal mortality rate nor a determinant of a neonatal near miss are adequately investigated specifically within the study area. Therefore, this study is aimed to identify the determinants of neonatal near-miss among neonates admitted in hospitals of the Gurage zone, Southern Ethiopia. METHODS AND MATERIALS: Unmatched case-control study was conducted to identify factors associated with neonatal near-miss among neonates admitted in Gurage zone hospitals. A pre-tested structured interviewer-administered questionnaire was used to collect the data. Besides, data related to the clinical diagnosis of neonates and managements given were extracted from patient records. In this study, a total of 105 cases and 209 controls have participated. To recruit cases and controls consecutive sampling methods and simple random sampling techniques were used respectively. Data were entered using Epi Data software and exported to SPPS for analysis. To identify the determinate factors of the outcome variable binary and multivariable logistic regression were employed. RESULTS: The determinate factors of the outcome variable include a history of abortion with AOR 3.9 [95%C1 3.53–10.15], referred from other health care institution AOR 7.53[95% CI 3.99–14.22], severe maternal morbidity during pregnancy AOR 4.57[95% CI 1.77–11.79], cesarean section mode of delivery 4.45[95% CI 1.76–11.25], and good essential newborn care knowledge AOR 3.33[95% CI 1.54–7.19]. CONCLUSION: In this study, easily modifiable/preventable maternal and health service utilization-related factors are increasing the menace of a neonatal near-miss in the Gurage zone. It is the signal that shows the primary health care program needs to be further enhanced to bring more desirable health outcomes and/or effectiveness of health policies needs to be examined to introduce more impactful strategies.