Factors Associated with Survival to Discharge of Newborns in a Middle-Income Country

Ballot, Daynia; Chirwa, Tobias

doi:10.5772/64306

Cited by 3 publications

(2 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The current study showed that neonates who had very low birth weight had 83% delayed to recovery from RD and that of low birth weight had 50% risk of delayed compared to normal birth weights. These findings are supported by a study performed in South Africa [ 24 ] and Uganda [ 25 ].The proportion surviving increases as birth weight increases, which means that neonates with low birth weights stayed in hospitals for a longer period of time than those with normal birth weights.…”

Section: Discussionsupporting

confidence: 83%

Incidence, time to recovery and predictors among neonates admitted with respiratory distress to the neonatal intensive care unit at the University of Gondar Comprehensive Specialized Hospital, Northwest Ethiopia, 2021

2022

View full text Add to dashboard Cite

Background One of the major factors contributing to newborn morbidity and mortality across the globe is respiratory distress. In resource-constrained developing nations like Ethiopia, it is a significant issue. Depending on the quality of the care provided, the incidence and time to recovery may differ amongst medical facilities. However, Ethiopia still lacks appropriate data on the incidence and time to recovery from respiratory distress. Objective The aim of the study was to assess the incidence, time to recovery, and predictors among neonates admitted with respiratory distress in the neonatal intensive care unit at the University of Gondar Comprehensive Specialized Hospital. Methods An institution-based retrospective follow-up study design was conducted among 452 neonates with respiratory distress. Data were collected using a data extraction checklist from the medical registry. The extracted data were entered into EPI INFO version 7.2.1.0 and then exported to STATA version 14 for analysis. The median time to recovery, the Kaplan Meier curve, and the log-rank test was computed. Both bi-variable and multivariable Cox regression models were applied to analyze the data. p-value ≤ 0.05 was considered statistically significant. Results Of all respiratory distressed neonate,311 were recovered. The overall incidence rate of neonates admitted with from respiratory distress was 11.5 per 100-neonate day (95% CI: 10.30–12. 87) with 2,703-person day observation and the median time to recovery from respiratory distress was 7 days with (IQR = 3–13 days). Predictors of time to recovery from respiratory distress were very low birth weight (AHR = 0.17, 95% CI: 0.08–0.41), low birth weight (AHR = 0.50, 95% CI: 0.31–0.81), very preterm (AHR = 0.42,95% CI:0.20–0.89), sepsis (AHR = 0.50 95% CI: 0.38–0.65), hypothermia (AHR = 0.61, 95% CI: 0.39–0.81), and Apgar scores less than seven at first (AHR = 0.35, 95% CI: 0.15–0.79) and fifth minute (AHR = 0.45, 95% CI: 0.20–0.97). Conclusion The incidence and time to recovery in this study were discreetly acceptable as compared to previous study. The aforementioned predictors could be used to identify neonates with respiratory distress who are at risk of developing a long-term illness and guide prompt referral to hospitals. This will also provide clinicians with prognostic information, as longer recovery times have economic and social implications in resource limited countries like Ethiopia.

show abstract

Section: Discussionsupporting

confidence: 83%

Incidence, time to recovery and predictors among neonates admitted with respiratory distress to the neonatal intensive care unit at the University of Gondar Comprehensive Specialized Hospital, Northwest Ethiopia, 2021

2022

View full text Add to dashboard Cite

show abstract

“…Another possible reason could be that people living in rural areas tend to be poorer than their urban counterparts' area, a factor known to have an impact on the neonatal outcome.GA is also another important determinant of neonatal mortality in our metaanalysis. Accordingly, neonates born as preterm were almost one and half times more likely to die than those term neonates [49][50][51][52][53][54][55][56][57][55], [56] , [52] , [53], [50] , [7] [51] , [49,57].RDS are an important determinant of neonatal mortality although not statistically significant in our meta-analysis. Neonates who had RDS were one times more likely to die as compared to those who did not have RD.…”

Section: Discussionmentioning

confidence: 99%

The magnitude of neonatal mortality and its predictors in Ethiopia: a systematic review and meta-analysis

Asmare

Shibabaw

Akalu

et al. 2019

Preprint

View full text Add to dashboard Cite

AbstractsBackground: Although neonatal death is a global burden, it is the highest in Sub Saharan Africa countries such as Ethiopia. This study was aimed to provide pooled national prevalence and predictors of neonatal mortality in Ethiopia. Objective:To assess the pooled prevalence and predictors of neonatal mortality in Ethiopia.Search Strategy: global databases were systematically explored. Systematically searched using the following databases: Boolean operator, Cochrane library, PubMed, EMBASE, HINARI, and Google Scholar. Selection, screening, reviewing and data extraction was done by two reviewers independently using Microsoft excel spread sheet. The modified Newcastle-Ottawa Scale (NOS) and the Joanna Briggs Institute Prevalence Critical Appraisal tools were used to assess the quality of evidence Selection criteria: All studies conducted in Ethiopia and reporting the prevalence and predictors of neonatal mortality were included Data Collection and Analysis: Data were extracted using a Microsoft Excel spreadsheet software and imported into STATA Version 14 s for further analysis. The pooled effect size with 95% confidence interval of neonatal mortality rate was determined using a weighted inverse variance random-effects model. Publication bias was checked using funnel plots, Egger's and bagger's regression test. Heterogeneity also checked by Higgins's method. A random effects meta-analysis model was computed to estimate the pooled effect size (i.e. prevalence and odds ratio). Moreover, subgroup analysis based on region, sample size and study design were done. Results:After reviewing 88 studies, 12 studies fulfilled the inclusion criteria and were included in the meta-analysis. The pooled national prevalence of neonatal mortality in Ethiopia was 16.3% (95% CI: 11.9, 20.7, I 2 =88.6%). The subgroup analysis indicated that the highest prevalence was observed in Amhara region with a prevalence of 20.3% (95% CI: 9.6, 31.1, I 2 =98.8) followed by Oromia, 18.8% (95%CI: 11.9,49.4, I 2 =99.5). Gestational age AOR,1.14 (95% CI: 0.94 ,1.3), neonatal sepsis (OR:1.2(95% CI: 0.8, 1.5), respiratory distros (OR: 1.2(95% CI: 0.8, 1.5) and place of residency (OR:1.93 (95% CI:1.1,2.7) were the most important predictor.Conclusions: neonatal mortality in Ethiopia was significantly decreased than the national report.There was evidence that neonatal sepsis, gestational age, respiratory distress were the significant predictors. We strongly recommended that health care workers should give a priority for the identified predictors.

show abstract

Determinants of neonatal mortality at neonatal intensive care unit in Northeast Ethiopia: unmatched case-control study

Alemu¹,

Belay²,

Gobeza³

et al. 2020

Trop Med Health

View full text Add to dashboard Cite

Background: Globally, in 2016, about 38% and 3% of all neonatal death were recorded in sub-Saharan Africa and Ethiopia, respectively. In the same year, 47 neonates out of 1000 live births were not surviving in the first 28 days of age in the Amhara region, Ethiopia. Despite the highest burden of neonatal death in the region, specific or the proximate determinants of neonatal death in the neonatal intensive care unit were not well identified.

show abstract

Factors Associated with Survival to Discharge of Newborns in a Middle-Income Country

Cited by 3 publications

References 16 publications

Incidence, time to recovery and predictors among neonates admitted with respiratory distress to the neonatal intensive care unit at the University of Gondar Comprehensive Specialized Hospital, Northwest Ethiopia, 2021

Incidence, time to recovery and predictors among neonates admitted with respiratory distress to the neonatal intensive care unit at the University of Gondar Comprehensive Specialized Hospital, Northwest Ethiopia, 2021

The magnitude of neonatal mortality and its predictors in Ethiopia: a systematic review and meta-analysis

Determinants of neonatal mortality at neonatal intensive care unit in Northeast Ethiopia: unmatched case-control study

Contact Info

Product

Resources

About