Literature DB >> 32290819

Cause and predictors of neonatal mortality among neonates admitted to neonatal intensive care units of public hospitals in eastern Ethiopia: a facility-based prospective follow-up study.

Assefa Desalew1, Yitagesu Sintayehu2, Nardos Teferi3, Firehiwot Amare4, Bifitu Geda2, Teshager Worku2, Kebebush Abera2, Abiyot Asefaw2.   

Abstract

BACKGROUND: The first month is the most crucial period for child survival. Neonatal mortality continues to remain high with little improvement over the years in Sub-Saharan Africa, including Ethiopia. This region shows the least progress in reducing neonatal mortality and continues to be a significant public health issue. In this study setting, the causes and predictors of neonatal death in the neonatal intensive care units are not well documented. Hence, this study aimed to determine the causes and predictors of neonatal mortality among infants admitted to neonatal intensive care units in eastern Ethiopia.
METHODS: A facility-based in prospective follow-up study was conducted among neonates admitted to neonatal intensive care units of public hospitals of eastern Ethiopia from November 1 to December 30, 2018. Data were collected using a pre-tested structured questionnaire and a follow-up checklist. The main outcomes and causes of death were set by pediatricians and medical residents. EpiData 3.1 and Statistical Package for Social Sciences Version 25 software were used for data entry and analysis, respectively. Multivariable logistic regression was used to identify the predictors of facility-based neonatal mortality.
RESULTS: The proportion of facility-based neonatal mortality was 20% (95% CI:16.7-23.8%). The causes of death were complications of preterm birth (28.58%), birth asphyxia (22.45%), neonatal infection (18.36%), meconium aspiration syndrome (9.18%), respiratory distress syndrome (7.14%), and congenital malformation (4.08%). Low birth weight, preterm births, length of stay of the neonatal intensive care unit, low 5 min APGAR score, hyperthermia, and initiation of feeding were predictors of neonatal death among infants admitted to the neonatal intensive care units of public hospitals in eastern Ethiopia.
CONCLUSIONS: The proportion of facility-based neonatal deaths was unacceptably high. The main causes of death were preventable and treatable. Hence, improving the timing and quality of antenatal care is essential for early detection, anticipating high-risk newborns, and timely interventions. Furthermore, early initiation of feeding and better referral linkage to tertiary health facilities could lead to a reduction in neonatal death in this setting.

Entities:  

Keywords:  Ethiopia; Facility-based study; NICU; Neonatal mortality; Predictors

Mesh:

Year:  2020        PMID: 32290819      PMCID: PMC7155275          DOI: 10.1186/s12887-020-02051-7

Source DB:  PubMed          Journal:  BMC Pediatr        ISSN: 1471-2431            Impact factor:   2.125


Background

The first month is the most crucial period for child survival. Globally, an estimated 2.5 million newborns die in the first month of life, approximately 7000 every day in 2017. Currently, an estimated 18 neonatal deaths per 1000 live births occur during the neonatal period [1, 2], accounting for 46% of under-five deaths [2, 3]. More than 70% of these early neonatal deaths were due to conditions that could be prevented or treated with access to simple and affordable interventions [1, 2, 4–8]. Moreover, 98% of neonatal deaths occur in developing countries with a greater burden occurring in Sub-Saharan Africa (SSA). In this region, approximately one million infant deaths occur in the first month of life, which represents the highest neonatal mortality rate (NMR) among those countries participating in the Sustainable Development Goals (SDGs) and shows the least progress in reducing the NMR [1, 3, 6, 9, 10]. The majority of these deaths are caused by infectious diseases, intrapartum asphyxia, pregnancy-related complications, and premature births [11]. Neonatal death continues to remain a significant public health issue in Ethiopia, with only a slight reduction from 39 per 1000 live births in 2008 to 29 per 1000 live births in 2017 [12, 13]. Facility-based studies in Ethiopia indicated that the proportion of neonatal deaths was 14.3% in Gondar and 23.3% in Addis Ababa [13, 14]. Despite multiple efforts by both the government and other stakeholders, neonatal death remains higher in Ethiopia than in many developing countries [10]. Although the country is committed to achieving SDGs related to both maternal and child health, which was reflected in the Health sector development program IV and the Health sector transformation program, the benefit has not been achieved to date through a reduction in neonatal deaths. The Minister of Health is working collaboratively with the World Health Organization (WHO) to improve the quality of Neonatal Intensive Care Units (NICU) in health facilities; however, more is needed [14, 15]. The continued reduction in neonatal deaths is critical to progress towards achieving SDGs. Therefore, determining facilities-based causes and predictors of neonatal death in the Eastern Ethiopian context is crucial and essential. Due to the recent establishment of the NICU in this setting, data are limited in both the country and study setting. Hence, this study aimed to fill in these gaps and used them as inputs for policymakers and program implementers to design appropriate interventions that could contribute to the reduction of neonatal morbidity and mortality in Ethiopia.

Methods

Study area, design, and population

This facility-based prospective follow-up study was conducted among all neonates admitted to the NICU in eastern Ethiopia from November 1 to December 30, 2018. All public health institutions with the NICU facilities in the Harari regional state, Dire Dawa administration and eastern and western Hararghe Zone from the Oromia regional state were included. These facilities have been providing health services for an estimated 6,565,406 populations in the catchment area. A total of 10 public hospitals in this study area provide NICU services. All neonates admitted to the NICU during the study period were included from six randomly selected public hospitals. However, neonates who were admitted for observation and without mothers or guardians during the study period were excluded.

Sample size and sampling technique

Even though we included all neonates consecutively admitted to the NICU, we checked the adequacy of the sample size using the formula for a double population proportion to determine the sample size using stat calc of Epi Info statistical software Version 7. A 95% confidence level, power of 80%, and an assumption of the ratio of unexposed to exposed equivalent to 1 was assumed for the calculation. Based on this, the sample size was calculated to be 468. An addition of 5% was made for the non-response rate, and then the final sample size was 491. Ten public hospitals in eastern Ethiopia provide NICU services. Among these, six were selected using a simple random sampling technique: Garamuleta, Deder, Chiro, and Sabin Hospital, Dilchora Referral Hospital, and Hiwot Fana Specialized University Hospital were included in the study. Proportional allocation to size was used to distribute the calculated sample size based on the estimated case flow per month in each selected public hospital.

Data collection methods

A structured questionnaire and checklist adapted from a review of similar literature [4, 6, 16] were used for data collection. The tool contained information related to obstetric and antenatal care (ANC) visits, age at admission, sex, gestational age at birth, APGAR score, admission diagnosis, birth weight, duration of hospital stay, need for ventilator support, neonatal outcomes, and causes of death. It was prepared in English and translated into local languages and then re-translated back into English to ensure consistency and understandability. Maternal and demographic data were obtained by interviewing the mothers or reviewing the referral records by neonatal nurses, and each neonate was monitored daily until discharged or died. A final assessment of the cause of death was determined by a pediatrician or pediatric resident after conducting the necessary laboratory investigation and a thorough review of medical records. Prematurity was defined as a live-birth newborn delivered before 37 completed weeks. For participants with an unknown last normal menstrual period, residents used ultrasound and the new Ballard score to estimate the gestational age. Birth weight was classified using WHO weight classification and was measured upon admission using the digital infant weight scale (Seca) [17]. Birth asphyxia was diagnosed when the newborn had at least one of the following signs: not breathing or gasping, < 30 breaths per minute, or < 7 APGAR score, had neonatal neurologic sequelae (seizures, coma, and hypotonia), or multiple organ involvement (kidney, lungs, liver, heart, and intestines) [16, 18].

Data quality management

A two-day intensive training was given to 12 neonatal nurses, pediatric residents, and pediatricians before data collection. The training consisted of the purpose of the study, enumeration procedures, and how to interview and follow-up the neonates. The tool was pre-tested, and necessary modifications were made for the local context before data collection. After data collection, all completed questionnaires were checked for completeness and cleaned manually. Double data entry was performed to check clarity.

Statistical analysis

The data were coded and entered into EpiData Version 3.1 and exported to the Statistical Package for Social Sciences (SPSS) Version 25 statistical software for analysis. Univariate analysis was used to describe the frequency distribution of each variable. The outcome variables were coded as “1” for died whereas “0” for improved. The association between the outcome variables (i.e., neonatal death) and independent variables was analyzed using a logistic regression model. Covariates with a P-value< 0.2 were retained and entered into the multivariable logistic regression analysis using a forward stepwise approach. Hosmer and Lemeshow’s goodness-of-fit test was used to assess whether the necessary assumptions were fulfilled. Adjusted odds ratio (AOR) with 95% confidence intervals (CI) using a P-value< 0.05 was considered as statistically significant association with the outcome variable.

Results

Maternal socio-demographic and ANC characteristics

A total of 489 neonates were admitted during the study period. Two hundred seventy-nine (57.1%) mothers of the neonates were aged 21–30 years with a mean age (±SD) of 26.44 ± 6.04 years. One hundred ninety-eight (40.5%) and 452 (92.4%) mothers were unable to read or write and married. Two hundred and fifty-five (52.1%) participants were from urban residents. Regarding ANC follow-up, two-thirds of mothers 378 (77.33%) had attended at least one prenatal visit; however, only 116 (23.7%) had received the recommended ANC follow-up for their current pregnancy (which was 4 or more ANC visits). One hundred eighty (36.8%) mothers started ANC follow-up before 24 weeks of gestation and 149 (30.5%) started after 24–30 weeks of gestation (Table 1).
Table 1

Characteristics of mothers whose neonates were admitted to the NICU of public hospitals in eastern Ethiopia, 2018 [n = 489]

CharacteristicsCategoryFrequencyPercent
Ageless than 20 years10922.3
21–30 years27957.1
31–40 years9519.4
≥ 41 years61.2
Education levelUnable to read and write19840.5
Able to read and write5912.1
Primary Education11122.7
Secondary Education8016.4
College and above418.4
Marital statusSingle285.7
Married45292.4
Divorced71.4
Widowed20.4
ResidenceUrban25552.1
Rural23447.9
ANC follow-upYes37877.3
No11122.7
Place of ANC follow upPublic32065.4
Private5811.9
Gestational age at the start of ANC follow up<  24 weeks18036.8
24–29 weeks14930.5
30–35 weeks377.6
greater than 35 weeks122.5
Number of ANC follow up attendedOne377.6
Two8016.4
Three14529.7
four and above11623.7
Characteristics of mothers whose neonates were admitted to the NICU of public hospitals in eastern Ethiopia, 2018 [n = 489]

Obstetric characteristics

Two hundred eighty-three (57.9%) neonates were delivered from multiparous mothers. Four hundred forty (90%) were singleton and 380 (77.7%) were delivered at the index hospital. Two hundred ninety-nine (61.1%) mothers were delivered by midwives, and 288 (58.9%) mothers had a labor duration ranging from 4 to 12 hrs. More than two-thirds 338 (69.1%) of mothers were delivered through spontaneous vaginal delivery and 319 (65%) neonates were full-term at birth (Table 2).
Table 2

Obstetric characteristics of mothers whose neonates were admitted to the NICU of public hospitals in eastern Ethiopia, 2018 [n = 489]

CharacteristicsCategoryFrequencyPercent
ParityPrimipara20642.1
Multipara28357.9
Type of pregnancySingle44090.0
Twins4910.0
Place of deliveryAt the index Hospital38077.7
Another hospital306.1
Health center5310.8
Private facilities40.8
Home224.5
Birth attendantMidwife29961.1
Physician15130.9
Nurse112.2
Health extension workers20.4
Traditional birth attendants234.7
Others30.6
Duration of labor<  4 hrs.438.8
4-12 hrs.28858.9
Greater than12 hrs.15832.3
Amniotic fluid status during laborClear36073.6
Meconium stained10721.9
Bloodstained224.5
Mode of deliverySpontaneous Vaginal33869.1
Cesarean section12224.9
Instrumental Delivery295.9
Gestational age at birthVery preterm(<  34 weeks)6312.9
Late preterm(34-36 weeks)9719.8
Term(37-42 weeks)31965.2
post-term(> 42 weeks)102.0
Length of hospital stay< 3 days16032.7
4-7 days22946.8
> 7 days10020.4
Obstetric characteristics of mothers whose neonates were admitted to the NICU of public hospitals in eastern Ethiopia, 2018 [n = 489]

Complications during pregnancy

Eighty-one (16.6%) mothers had complications during the index case. Preeclampsia or eclampsia accounted for 43 (8.8%). Besides, 30 (6.1%) mothers had a medical illness during pregnancy. Two hundred twenty-six (46.2%) mothers had complications during labor, with the most common complication being the prolonged duration of labor in 103 (21.1%) (Table 3).
Table 3

Obstetric and labor complications among mothers whose neonates were admitted to the NICU of public hospitals in eastern Ethiopia, 2018 [n = 489]

CharacteristicsCategoryFrequencyPercent
Obstetric complications during the current pregnancyYes8116.6
No40883.4
Preeclampsia or eclampsia438.8
Chorioamnionitis81.6
Premature rupture of membrane183.7
Antepartum hemorrhage173.5
Other10.2
Medical illness during pregnancyYes306.1
No45993.9
Diabetes mellitus51.0
Hypertension81.6
Tuberculosis10.2
Cardiac disease10.2
Anemia142.9
Human immunodeficiency virus30.6
Others20.4
Complication during laborYes22646.2
No26353.8
Prolonged labor10321.1
Premature rupture of membrane6212.7
Fetal distress8417.2
Cord prolapsed81.6
Obstetric and labor complications among mothers whose neonates were admitted to the NICU of public hospitals in eastern Ethiopia, 2018 [n = 489]

Neonatal characteristics

Three hundred six (62.6%) and 378 (77.3%) newborns were male and admitted within the first day of life, respectively. More than half 274 (56.4%) of the neonates had a normal birth weight (2500-3999 g). Three-fourths neonates, 350 (71.6%) were hypothermic upon admission, and 133 (27.2%) suffered from birth asphyxia at 5 min. (based on the 5 min. APGAR score). Three hundred one (61.1%) newborns initiated exclusive breastfeeding in the first hour (Table 4).
Table 4

Characteristics of neonates admitted to the NICU of public hospitals in eastern Ethiopia, 2018 [n = 489]

VariableCategoryFrequencyPercent
Sex of the newbornMale30662.6
Female18337.4
Age of neonate on admission≤ one day37877.3
>one days11122.7
Birth weight<  1000 g81.6
1000–1499 g336.7
1500–2499 g14529.7
2500–3999 g27456.0
≥ 4000 g295.9
Temperature at admission(0c)<  36.535071.6
36.5–37.59218.8
> 37.5479.6
APGAR score at 5 min≤371.4
4–612625.8
7–1025151.3
Unknown10521.5
Initiation of Feeding in 1st hour withNothing per mouth15231.1
Exclusive Breast Feeding30161.1
Formula Feeding367.4
Characteristics of neonates admitted to the NICU of public hospitals in eastern Ethiopia, 2018 [n = 489]

Treatment modalities

Four hundred thirty-five (89%) neonates had received antibiotics and 416 (85.1%) had intravenous fluids as treatment, while only 72 (14.7%) utilized the kangaroo mother care (Fig. 1).
Fig. 1

Treatment modalities delivered to neonates admitted to the NICU in public hospitals in eastern Ethiopia, 2018[n = 489]

Treatment modalities delivered to neonates admitted to the NICU in public hospitals in eastern Ethiopia, 2018[n = 489]

Proportion and causes of neonatal mortality

Among admitted newborns, 98 (20%) died and the remaining survived from admission to discharge in the NICU (Fig. 2). The most common causes of neonatal mortality were complications of preterm 28 (28.58%), followed by birth asphyxia 22 (22.45%) and neonatal infection 18 (18.36%) (Fig. 3).
Fig. 2

Proportion of neonatal death among neonates admitted to the NICU of public hospitals in eastern Ethiopia, 2018 [n = 489]

Fig. 3

Causes of neonatal mortality among neonates admitted to the NICU of public hospitals in eastern Ethiopia 2018 [n = 98]

Proportion of neonatal death among neonates admitted to the NICU of public hospitals in eastern Ethiopia, 2018 [n = 489] Causes of neonatal mortality among neonates admitted to the NICU of public hospitals in eastern Ethiopia 2018 [n = 98]

Predictors of neonatal mortality in neonatal intensive care units

In the multivariable logistic regression analysis, low 5 min. APGAR score, low birth weight, preterm birth, length of hospital stay, febrile illness, and feeding status were independent predictors of neonatal mortality. Preterm neonates were almost three times (AOR = 2.78; 95% CI: 1.17, 6.57) more likely to die compared with term neonates. Low birth weight babies were two times (AOR = 2.39; 95% CI: 1.04, 5.41) more likely to die when compared with normal birth weight. Furthermore, newborns with a low 5 min. APGAR score were five times(AOR = 5.18;95% CI:2.51,10.66) more likely to die compared with 5 min. APGAR score of greater than or equal to seven; length of stay was another variable found to be predictors of neonatal mortality. Newborns who were hospitalized for less than 3 days were nearly four times (AOR = 3.63; 95% CI: 1.82, 7.22) more likely to die than those who were hospitalized for 4–7 days; this implies that the majority of deaths occurred in the first 72 hrs. of life. Besides, neonates with fever on admission were nearly seven times (AOR = 6.68; 95% CI: 1.34, 33.13) more likely to die compared with their counterparts. Moreover, neonates for whom breastfeeding was not initiated within the first 24 hrs. were twelve times (AOR = 12.16; 95% CI: 5.98, 24.70) more likely to die than those who were on exclusive breastfeeding within the first 24 h of life (Table 5).
Table 5

Multivariable analysis for predictors of neonatal mortality among neonates admitted to the NICU of public hospitals in eastern Ethiopia, 2018 [n = 489]

Neonatal mortality
CharacteristicsDiedImprovedCORAORP-value
Maternal Age
 21–30 years512281
  < 20 years29801.62(0.96, 2.73)1.50(0.67, 3.34).335
 31–40 years17780.97(0.53, 1.78)1.85(0.76, 4.48).212
  > 40 years150.89(0.10, 7.82)2.40(0.23, 24.89).532
Marital status
 Married8836411
 Single9191.96(0.86, 4.48)1.33(0.35, 5.03).766
 Others180.52(0.06, 4.18)1.62(0.15, 16.94).543
Parity
 Multi-Para5023311
 Primi-para481581.42(0.91, 2.21)1.94(0.93, 4.05).680
Place of delivery
 Inborn (in this hospital)25312711
 Other facility46410.56(0.29, 1.09)0.50(0.17, 1.51).275
 Home1660.35(0.08, 1.53)0.26(0.03, 2.40).205
Duration of labor
 4–12 hrs.17711111
 less than 4 hrs.27160.80(0.35, 1.81)0.45(0.12, 1.63).225
 More than 12 hrs.111470.69(0.41, 1.14)0.62(0.30, 1.25).184
Mode of delivery
 Spontaneous vaginal22111711
 Cesarean section79431.23(0.73, 2.05)1.00(0.47, 2.10).460
 Instrumental15142.78(1.24, 6.17)1.34(0.40, 4.44).944
Length of hospital stay
 4–7 days1725711
  < 3 days68924.03(2.43, 6.67)3.63(1.82, 7.22) *.000
  > 7 days75250.77(0.35, 1.63)0.61(0.23, 1.58).310
Gestational age at birth
 Term (37-42 weeks)2279211
 Preterm (< 37 weeks)82783.56(2.23,5.66)2.78(1.17, 6.56) *.020
 Post term (> 42 weeks)644.65(1.25,17.19)4.54(0.83, 24.70).051
Birth weight
 2500–3999 g2118611
 Less than 2499 g77863.46(2.17, 5.49)2.39(1.04, 5.49) *.040
  ≥ 4000 g2720.23(0.03, 1.73)0.67(0.06, 6.80).858
5 min. APGAR score
 7–101886311
  ≤ 668655.62(3.32, 9.47)5.18(2.51, 10.66) *.000
 Unrecorded59461.33(0.67, 2.60)2.50(0.82, 7.54).092
Temperature on admission
 36.5–37.5c0642811
  < 36.5c02181323.37(1.56, 7.23)2.75(0.97, 7.78).057
  > 37.5c033141.25(0.38, 4.05)6.68(1.35, 33.13) *.020
Initiation of Feeding
 EBF2376411
 NPO539916.71(9.32, 29.94)12.16(5.98, 24.70) *.000
 FF25112.69(0.93, 7.80)1.71(0.47, 6.15).077

*statistically significant at P ≤ 0.05; EBF exclusive breastfeeding, NPO nothing per month, FF formula feeding

Multivariable analysis for predictors of neonatal mortality among neonates admitted to the NICU of public hospitals in eastern Ethiopia, 2018 [n = 489] *statistically significant at P ≤ 0.05; EBF exclusive breastfeeding, NPO nothing per month, FF formula feeding

Discussion

Despite advancements in technologies and interventions made for improving the life of newborns, neonatal death remains an unfinished agenda as a serious public health concern in developing countries, including Ethiopia. Therefore, we conducted this prospective study to determine the causes and predictors of neonatal mortality in the NICUs in eastern Ethiopia. Accordingly, the proportion of neonatal deaths was 20% (95% CI: 16.7–23.8%). This resulted mainly from preventable causes, which are unconscionable in the twenty-first century. The present finding is in agreement with studies conducted in Ethiopia and other developing countries such as India (18.69%), Eastern Nepal (20.2%), Nigeria (18.8%), and Central Ethiopia (23.3%) [16, 19–21]. However, it was greater than the studies carried out in Northern Vietnam (13.9%), India (7.16%), Ghana (16%), South Africa (13.8%), and Cameroon (15.7%) [5, 22–25]. These variations between studies might be explained, in part, by the discrepancy in the follow-up time, sample size, and quality of prenatal care delivered in these facilities. Also, the present study was conducted in hospitals with a recently established NICU; this might result in a difference in the distribution of essential equipment and skilled manpower. Additionally, disparities in socioeconomic conditions of the population well as geographical locations could have contributed to the variation. In the current study, the main causes of death were complications of preterm birth (28.58%), birth asphyxia (22.45%), and neonatal infection (18.36%). This was supported by reports and findings from the WHO, Northern Vietnam, India, Ghana, Nigeria, Cameroon, South Sudan, and Southern and Northern Ethiopia [5, 11, 19, 20, 22–24, 26–30]. The findings of our study showed that more than 70% of neonatal deaths were attributed to prematurity, neonatal sepsis, and birth asphyxia. This finding suggests the need for intensive neonatal survival interventions targeting the intrapartum period as well as in immediate and early neonatal periods to reduce neonatal mortality. Birth asphyxia, preterm, low birth weight, and failure to initiate early feeding were significant factors that increased the likelihood of neonatal deaths. These findings are consistent with previous studies in Ethiopia and other countries, in which intrapartum and neonatal conditions were found to be important predictors of neonatal mortality [21, 25, 28, 30–33]. Preterm and low birth weight babies were more likely to be prone to complications such as hypothermia, infections, and birth asphyxia (resulting in tissue hypoxia and multi-organ failure). Therefore, provisions of quality neonatal care, including quality resuscitation, thermal care, and appropriate feeding, are important to avert some of these factors [34-37]. Furthermore, a short duration of less than 3 days of life in the NICU was found to be significantly associated with neonatal death. This is in contrast with a study in the Somali region, where a shorter stay in the NICU was protective against mortality [38]. However, this is consistent with the fact that most neonatal deaths occur in the first 72 h after birth. This suggests that any intervention at this critical time has a significant contribution to saving the life of the neonates [38, 39]. Besides, febrile illness (≥37.5 oc) on admission was found to be a significant predictor of neonatal mortality. This is likely due to the high proportion of neonatal infections in the present study setting. This finding emphasizes the need to improve the quality of care in health facilities. In particular, we strongly believe that achieving high-quality intrapartum and postnatal care is required to improve neonatal health. A significant proportion of neonatal deaths can be avoided by appropriate resuscitation care [40, 41]. Most of the infection-related deaths can be avoided by treating maternal infections during pregnancy, ensuring a clean birth, care of the umbilical cord, and exclusive breastfeeding [42, 43]. There is a range of available evidence-based interventions that can improve the survival of premature and low-birth-weight newborns. The promotion of early and exclusive breastfeeding, prevention, and treatment of hypothermia, including kangaroo mother care [43, 44], and topical skin-cleansing with chlorhexidine may reduce morbidity and mortality secondary to infection [45, 46]. The gap for the care of mothers and babies in the first few days of life is important even when women deliver in facilities. Moreover, communities and decision-makers need to be informed that neonatal deaths are a huge portion of child deaths, and need therefore to receive adequate attention. The strengths of this study were that the inclusion of multiple facilities and prospective follow-up of neonates from admission to discharge or death. In addition, it was carried out without sampling; therefore, the possibility of sampling error was eliminated. However, the relatively small sample size and wide CI in the multivariable model associated with some variables may undermine the strength of this study. The study was conducted at hospitals; therefore, neonates delivered at home and died at home could be missed. Hence, this study does not reflect population-based neonatal mortality rather; it reflects institution-based neonatal death in the given period.

Conclusion

The proportion of facilities-based neonatal mortality was unacceptably high. The common causes of neonatal death were preterm birth, birth asphyxia, infection, respiratory morbidity, and congenital malformation. Preterm births, low birth weight, low 5 min. APGAR score, short stay in the NICU, failure to initiate early breastfeeding, and temperature (≥37.5 °C) at admission were significant predictors of neonatal mortality in eastern Ethiopia. Efforts to address birth asphyxia, neonatal infections, and preterm birth are critical to achieving survival goals in newborns. Improving the timing and quality of ANC is essential for early detection, anticipating high-risk newborns, and timely interventions. Furthermore, early initiation of feeding and a better referral linkage to tertiary facilities could contribute to the reduction of neonatal mortality and morbidity in this setting.
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Journal:  Glob Pediatr Health       Date:  2021-05-25

2.  Burden of disease and risk factors for mortality amongst hospitalized newborns in Nigeria and Kenya.

Authors:  Helen M Nabwera; Dingmei Wang; Olukemi O Tongo; Pauline E A Andang'o; Isa Abdulkadir; Chinyere V Ezeaka; Beatrice N Ezenwa; Iretiola B Fajolu; Zainab O Imam; Martha K Mwangome; Dominic D Umoru; Abimbola E Akindolire; Walter Otieno; Grace M Nalwa; Alison W Talbert; Ismaela Abubakar; Nicholas D Embleton; Stephen J Allen
Journal:  PLoS One       Date:  2021-01-14       Impact factor: 3.240

3.  Neonatal mortality among neonates admitted to NICU of Hiwot Fana specialized university hospital, eastern Ethiopia, 2020: a cross-sectional study design.

Authors:  Addis Eyeberu; Hirpo Shore; Tamirat Getachew; Genanaw Atnafe; Merga Dheresa
Journal:  BMC Pediatr       Date:  2021-03-15       Impact factor: 2.125

4.  Survival Status and Predictors of Mortality Among Preterm Neonates Admitted to Mizan Tepi University Teaching Hospital, South West Ethiopia.

Authors:  Bayisa Bereka; Tigist Demeke; Belete Fenta; Yalemtsehay Dagnaw
Journal:  Pediatric Health Med Ther       Date:  2021-09-01

5.  Magnitude of preterm hospital neonatal mortality and associated factors in northern Ethiopia: a cross-sectional study.

Authors:  Bekahegn Girma; Jemberu Nigussie
Journal:  BMJ Open       Date:  2021-12-03       Impact factor: 2.692

6.  Neonatal mortality in a public referral hospital in southern Haiti: a retrospective cohort study.

Authors:  Alka Dev; Michelucia Casseus; Wilhermine Jean Baptiste; Emma LeWinter; Patrice Joseph; Peter Wright
Journal:  BMC Pediatr       Date:  2022-02-07       Impact factor: 2.125

7.  Effect of Preterm Birth on the Risk of Adverse Perinatal and Neonatal Outcomes in Ethiopia: A Systematic Review and Meta-Analysis.

Authors:  Melaku Desta; Melaku Admas; Yordanos Yeshitila; Belsity Meselu; Keralem Bishaw; Moges Assemie; Nigus Yimer; Getachew Kassa
Journal:  Inquiry       Date:  2021 Jan-Dec       Impact factor: 1.730

8.  Effect of a Low-Dose/High-Frequency Training in Introducing a Nurse-Led Neonatal Advanced Life Support Service in a Referral Hospital in Ethiopia.

Authors:  Misrak Tadesse; Suzanne Hally; Sharla Rent; Phillip L Platt; Thomas Eusterbrock; Wendmagegn Gezahegn; Tsinat Kifle; Stephanie Kukora; Louis D Pollack
Journal:  Front Pediatr       Date:  2021-11-25       Impact factor: 3.418

9.  Predictors of mortality among newborns admitted with perinatal asphyxia at public hospitals in Ethiopia: a prospective cohort study.

Authors:  Samuel Dessu; Zinabu Dawit; Abebe Timerga; Muluken Bafa
Journal:  BMC Pediatr       Date:  2021-07-07       Impact factor: 2.125

10.  District health managers perspectives of introducing a new service: a qualitative study of the community-based newborn care programme in Ethiopia.

Authors:  Della Berhanu; Iram Hashmi; Joanna Schellenberg; Bilal Avan
Journal:  BMC Health Serv Res       Date:  2021-08-09       Impact factor: 2.655

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