PloS one · 2022
Factors associated with neonatal near miss among neonates admitted to public hospitals in dire Dawa administration, Eastern Ethiopia: A case-control study.
СтатьяПоддержка исследования: вне правительства СШАНазвание и аннотация: Перевод в очереди
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…
Ошибки и ограничения
История · было → стало
Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.
Sintayehu Yitagesu, Abera Legesse, Sema Alekaw, Belay Yalelet, Guta Alemu, Amsalu Bezabih, Dejene Tafese, Kassie Nigus, Mulatu Teshale, Tiruye Getahun
Аннотация
INTRODUCTION: The neonatal near-miss cases are subject to factors that are major causes of early neonatal deaths. For every death, more newborns suffer a life-threatening complication. Nearly 98% of neonatal death unduly existed in developing countries. Though there were few prior studies in other regions, they failed in identifying the factors of NNM. Besides, there has been no prior study in the study area. Therefore, this study aimed to assess factors associated with neonatal near-miss.
METHODS: A case-control study was employed on a total of 252 cases and 756 controls using a systematic random sampling technique. Data were collected using pre-tested and interview administered questionnaires adapted from similar studies and medical records from December 2020 -March 2021. Pragmatic and management criteria definition of neonatal near miss were utilized. Epi-Data version 3.1 and SPSS version 23 were used for data entry and analysis respectively. Bivariable and multivariable analyses were done to identify factors associated with a neonatal near-miss by using COR and AOR with a 95% confidence interval. Finally, the statistical significance was declared at a p-value < 0.05.
RESULTS: There were a response rate of 100% for both cases, and controls. Factors that affects neonatal near miss were non-governmental/private employee (AOR, 1.72[95%CI: 1.037, 2.859]), referral in (AOR, 1.51[95%CI: 1.079, 2.108]), multiple birth (AOR, 2.50[95%CI: 1.387, 4.501]), instrumental assisted delivery (AOR, 4.11[95%CI: 1.681, 10.034]), hypertensive during pregnancy (AOR, 3.32[95%CI: 1.987, 5.530]), and male neonates (AOR, 1.71[95%CI: 1.230, 2.373]), paternal education of secondary school (AOR, 0.43[95%CI: 0.210, 0.868]) and college/above (AOR, 0.25[95%CI: 0.109, 0.578]), monthly income (1500-3500 birr) (AOR, 0.29[95%CI: 0.105, 0.809]) and >3500 birr (AOR, 0.34[95%CI: 0.124, 0.906]).
CONCLUSION: Maternal occupation, paternal education, income, referral, multiple births, mode of delivery, hypertension during pregnancy, and sex of the neonate have identified factors with neonatal near-miss. Better to create job opportunities, improving education, and income generation. Counseling on multiple birth and hypertension, and minimizing instrumental delivery should be done at the health facility level.
METHODS: A case-control study was employed on a total of 252 cases and 756 controls using a systematic random sampling technique. Data were collected using pre-tested and interview administered questionnaires adapted from similar studies and medical records from December 2020 -March 2021. Pragmatic and management criteria definition of neonatal near miss were utilized. Epi-Data version 3.1 and SPSS version 23 were used for data entry and analysis respectively. Bivariable and multivariable analyses were done to identify factors associated with a neonatal near-miss by using COR and AOR with a 95% confidence interval. Finally, the statistical significance was declared at a p-value < 0.05.
RESULTS: There were a response rate of 100% for both cases, and controls. Factors that affects neonatal near miss were non-governmental/private employee (AOR, 1.72[95%CI: 1.037, 2.859]), referral in (AOR, 1.51[95%CI: 1.079, 2.108]), multiple birth (AOR, 2.50[95%CI: 1.387, 4.501]), instrumental assisted delivery (AOR, 4.11[95%CI: 1.681, 10.034]), hypertensive during pregnancy (AOR, 3.32[95%CI: 1.987, 5.530]), and male neonates (AOR, 1.71[95%CI: 1.230, 2.373]), paternal education of secondary school (AOR, 0.43[95%CI: 0.210, 0.868]) and college/above (AOR, 0.25[95%CI: 0.109, 0.578]), monthly income (1500-3500 birr) (AOR, 0.29[95%CI: 0.105, 0.809]) and >3500 birr (AOR, 0.34[95%CI: 0.124, 0.906]).
CONCLUSION: Maternal occupation, paternal education, income, referral, multiple births, mode of delivery, hypertension during pregnancy, and sex of the neonate have identified factors with neonatal near-miss. Better to create job opportunities, improving education, and income generation. Counseling on multiple birth and hypertension, and minimizing instrumental delivery should be done at the health facility level.