Neonatal near miss and mortality: factors associated with life-threatening conditions in newborns at six public maternity hospitals in Southeast Brazil

Concept analysis of Neonatal Near Miss

OBJECTIVE

To analyze the concept of Neonatal Near Miss (NNM) using Walker and Avant's method.

METHOD

This study employs conceptual analysis following Walker and Avant's model, involving concept selection, objective definition, identification of potential uses, determination of attributes, model case creation, additional case consideration, antecedent identification, consequent analysis, and empirical reference examination. To elucidate the concept, a scoping review was conducted across journals indexed in scientific databases such as Web of Science, EMBASE, SCOPUS, and MEDLINE/PubMed.

RESULTS

The analysis encompassed 43 articles, revealing diverse definitions of neonatal near miss across different contexts. A comprehensive definition emerged from identified antecedents: risk of death, susceptibility to adverse outcomes, and potential adverse events. These antecedents were categorized into maternal conditions, neonatal conditions, and healthcare assistance.

CONCLUSION

The analysis and definition of the NNM concept was successful, and its antecedents, attributes, and consequences were delineated.

IMPLICATIONS

Identifying the risk factors associated with NNM cases may contribute to reducing infant morbidity and mortality and improving the quality of care, facilitating future research and improving the use of the NNM concept.

Predictors of neonatal near-misses in Worabe Comprehensive Specialized Hospital, Southern Ethiopia

Background

Neonatal deaths are still a major leading cause of social and economic crises. Identifying neonatal near-miss events and identifying their predictors is crucial to developing comprehensive and pertinent strategies to alleviate neonatal morbidity and death. However, neither neonatal near-miss events nor their predictors were analyzed in the study area. Therefore, this study is aimed at assessing the predictors of neonatal near-misses among neonates born at Worabe Comprehensive Specialized Hospital, Southern Ethiopia, in 2021.

Methods

A hospital-based unmatched case-control study was conducted from 10 November 2021 to 30 November 2021. A pre-tested, structured, and standard abstraction checklist was used to collect the data. After checking the data for completeness and consistency, it was coded and entered into Epi-Data 3.1 and then exported to Stata version 14 for analysis. All independent variables with a p-value ≤0.25 in bivariable binary logistic regression were entered into a multivariable analysis to control the confounding. Variables with p-values <0.05 were considered statistically significant.

Results

In this study, 134 neonatal near-miss cases and 268 controls were involved. The identified predictors of neonatal near-misses were rural residence [adjusted odds ratio (AOR): 2.01; 95% confidence interval (CI): 1.31-5.84], no antenatal care (ANC) follow-up visits (AOR: 2.98; 95% CI: 1.77-5.56), antepartum hemorrhage (AOR: 2.12; 95% CI: 1.18-4.07), premature rupture of the membrane (AOR: 2.55; 95% CI: 1.54-5.67), and non-vertex fetal presentation (AOR: 3.05; 95% CI: 1.93-5.42).

Conclusion

The current study identified rural residents, no ANC visits, antepartum hemorrhage, premature rupture of membrane, and non-vertex fetal presentation as being significantly associated with neonatal near-miss cases. As a result, local health planners and healthcare practitioners must collaborate in enhancing maternal healthcare services, focusing specifically on the early identification of issues and appropriate treatment.

Unveiling the strong positive relationship: Maternal characteristics and neonatal outcomes in the Better Outcomes in Labour Difficulty (BOLD) study - a secondary analysis validating neonatal near miss classification

Background

The near miss concept, denoting near collisions between aircraft, originated in aeronautics, but has recently been transferred to the neonatal context as a way of evaluating the quality of health services for newborns, especially in settings with reduced child mortality. However, there is yet no consensus regarding the underlying criteria. The most common indicators used to assess health care quality include mortality (maternal and neonatal) and life-threatening conditions. Using the World Health Organization (WHO) Better Outcomes in Labour Difficulty (BOLD) prospective cohort study data set, we conducted a secondary analysis to validate the near miss concept and explore the association between maternal and neonatal outcomes.

Methods

We studied 10 203 singleton mothers treated between December 2014 and November 2015 in nine Nigerian and four Ugandan hospitals. We validated the near miss concept by testing the diagnostic accuracy (sensitivity, specificity, positive likelihood ratio, negative likelihood ratio, and odds ratio (OR)) using death as the reference variable and calculating the maternal and neonatal case fatality rates. We performed ordinal and binomial logistic regression, with the independent variables being those that had P < 0.1 in the univariate analyses. We considered the significance level of 5%.

Results

We validated the neonatal near miss concept using the BOLD study data. We observed maternal and neonatal case fatality rates of 70.2% and 6.5%, with an increasing severity relationship between maternal and neonatal outcomes (P < 0.05). Ordinal logistic regression showed that gestational age <37 or >41 weeks and <8 antenatal consultations were related to a higher risk of neonatal severe outcomes, while maternal age between 30 and 34 years functioned as a protective factor against severe neonatal outcomes (SNO). Binomial logistic regression showed gestational age <37(OR = 1.46; 95% confidence interval (CI) = 1.07-1.94) or >41 weeks (OR = 2.26; 95% CI = 1.55-3.20), low educational level (OR = 1.76; 95% CI = 1.12-2.69), overweight/obesity (OR = 1.23; 95% CI = 1.02-1.47), one previous cesarean section (OR = 1.90; 95% CI = 1.36-2.61), one previous abortion (OR = 1.25; 95% CI = 1.00-1.56), and previous chronic condition (OR = 1.83; 95% CI = 1.37-2.41) were risk factors for SNO.

Conclusions

The neonatal near miss concept could be used as a parameter for analysis in different health systems, to ensure that measuring of neonatal severity is comparable across health care units. In this analysis, we observed a progressive association between maternal severity and the severity of the newborns' outcomes.

Neonatal near-miss audits: a systematic review and a call to action

BACKGROUND

Neonatal near-miss (NNM) can be considered as an end of a spectrum that includes stillbirths and neonatal deaths. Clinical audits of NNM might reduce perinatal adverse outcomes. The aim of this review is to evaluate the effectiveness of NNM audits for reducing perinatal mortality and morbidity and explore related contextual factors.

METHODS

PubMed, Embase, Scopus, CINAHL, LILACS and SciELO were searched in February/2023. Randomized and observational studies of NNM clinical audits were included without restrictions on setting, publication date or language.

PRIMARY OUTCOMES

perinatal mortality, morbidity and NNM.

SECONDARY OUTCOMES

factors contributing to NNM and measures of quality of care. Study characteristics, methodological quality and outcome were extracted and assessed by two independent reviewers. Narrative synthesis was performed.

RESULTS

Of 3081 titles and abstracts screened, 36 articles had full-text review. Two studies identified, rated, and classified contributing care factors and generated recommendations to improve the quality of care. No study reported the primary outcomes for the review (change in perinatal mortality, morbidity and NNM rates resulting from an audit process), thus precluding meta-analysis. Three studies were multidisciplinary NNM audits and were assessed for additional contextual factors.

CONCLUSION

There was little data available to determine the effectiveness of clinical audits of NNM. While trials randomised at patient level to test our research question would be difficult or unethical for both NNM and perinatal death audits, other strategies such as large, well-designed before-and-after studies within services or comparisons between services could contribute evidence. This review supports a Call to Action for NNM audits. Adoption of formal audit methodology, standardised NNM definitions, evaluation of parent's engagement and measurement of the effectiveness of quality improvement cycles for improving outcomes are needed.

Magnitude of NNM and associated factors among Newborns delivered at the North Shewa zone Public Health Hospital, Central Ethiopia: A multi-level analysis

Background

Neonatal near miss refers to a condition where a newborn is close to death within the first 28 days of life but ultimately survives either by chance or because of the quality of care they received. It is considered a major public health problem that contributes to the global burden of disease in less developing countries. For every death due to NMM, many others develop a severe complication. Despite this grim reality, there seems to be a gap in terms of the magnitude of and predictors of NNM in Ethiopia, where the previous study focused on neonatal death investigation. This study aimed to determine the magnitude of NNM and its determinants among the neonates delivered in the North Shewa zone, Central Ethiopia.

Methods

A facility-based cross-sectional study was conducted using a systematic random sampling technique among 747 newly delivered babies in the North Shewa zone public hospital from January 30 to June 30, 2021. Neonatal near misses were identified with the help of the World Health Organization labeling criteria. Collected data were coded, entered, and cleaned by using Epi data 4.4.6 and analyzed using SPSS software (version 26) for analysis. Descriptive statistics were used to compute summary statistics and proportions. Variables at a cutoff value of 0.25 on bivariate and 0.05 on multivariate logistic regression were used to identify predictors.

Result

The prevalence of NNM was 35.3% (95% CI = 31.9-38.6) per 1,000 live births. Participant occupation [AOR: 0.55, CI: 0.33-0.90], marital status [AOR: 2.19; CI: 1.06-4.51], instrumental delivery [AOR: 1.98; CI: 1.10-3.55], intrapartum hemorrhage [AOR: 2.27; CI: 1.03-5.01], abortion history [AOR: 1.59; CI: 1.03-2.44], mal-presentation [AOR: 1.77; CI: 1.14-2.77], premature rupture of membrane [AOR: 2.36; CI: 1.59-3.51], and pregnancy-related infection [AOR: 1.99; CI: 1.14-3.46] were found to have statistically significant association.

Conclusion and recommendation

One-third of neonates face serious neonatal health conditions. Given this, addressing modifiable obstetric risk factors through providing skilled and quality care to mothers during pregnancy and during and after childbirth was important for improving neonatal health. Additionally, strengthening antenatal care services to minimize the infection occurring during pregnancy through the provision of appropriate services and counseling about the consequences of abortion was essential in reversing the problem.

Determinants of neonatal near-miss among neonates delivered in public hospitals of Ilu Abba Bor Zone, Southwest Ethiopia: An unmatched case-control study during the COVID-19 pandemic

Background

The neonatal period is the time with the highest risk of neonatal and infant mortality. The COVID-19 pandemic diverted resources from routine maternal health services, which raises the possibility of neonatal near misses (NNMs). To implement prompt treatments that could improve the standard of infant care and lower neonatal mortality, it has been theorized that pinpointing the determinants of NNM during this outbreak is crucial. In light of this, the current study identified the determinants of NNM in neonates delivered in public hospitals of Ilu Abba Bor Zone, South West Ethiopia.

Methods

An institution-based unmatched case-control study was conducted among randomly selected 303 (101 cases and 202 controls) neonates admitted to Mettu Karl Comprehensive Specialized Hospital (MKCSH) and Darimu Primary Hospital (DPH) from 1 November to 28 December 2020. Data were collected using interviewer-administered structured questionnaire and checklist. The collected data were coded and entered into Epi-Data version 4.6 and then exported to SPSS version 20 for analysis. Adjusted odds ratios (AOR) along with a 95% confidence interval was used to assess the strength of the association, and a p-value < 0.05 was considered to declare the statistical significance in the multivariable logistic regression analysis.

Result

A total of 303 (101 cases and 202 controls) neonates admitted to MKCSH and DPH were included in the study making a 97.4% response rate. In the multivariable logistic regression analysis, no formal maternal education [AOR = 3.534, 95% CI: (1.194-10.455)], Breech presentation during birth [AOR = 3.088, 95% CI: (1.029-9.268)], < 4 antenatal care (ANC) visits [AOR = 1.920, 95% CI: (1.065-3.461], cesarean section delivery [AOR = 4.347, 95% CI: (1.718-10.996)], antepartum hemorrhage (APH) [AOR = 3.37, 95% CI: (1.23-9.24)], and hypertensive disorders of pregnancy (HDP) [AOR = 4.05, 95% CI: (2.36-11.05)] were independent determinants of NNM.

Conclusion

The study's result revealed that factors such as education level, birth presentation, ANC visit, mode of delivery, APH, and HDP continued to be important determinants of the NNM in Ethiopia during this pandemic. Therefore, much work is needed to improve neonatal health by providing adequate ANC services and other identified potential determinant factors that predispose the newborn to life-threatening (near-miss) conditions especially during this pandemic.

Magnitude of neonatal near miss in public hospitals in Eastern Ethiopia: A cross-sectional study

Objectives

Although neonatal near miss is an emerging concept and a tool for improving neonatal care, its magnitude and associated factors are less researched in Ethiopia. Thus, this study was aimed to uncover the magnitude of neonatal near miss and its associated factors in public hospitals in Eastern Ethiopia.

Methods

A facility-based cross-sectional study was employed on a randomly selected 405 mother-neonate pairs. An interview using a structured questionnaire accompanied by review of medical records was used to collect data from the mothers and records of the neonates. Neonatal near miss was defined as having any of the pragmatic (gestational age < 33 weeks, birth weight < 1750 g, and fifth minutes Apgar score < 7) or management criteria. Crude and adjusted logistic regression analysis was done to identify associated factors and presented with adjusted odds ratio with 95% confidence interval.

Results

Of 401 mother-neonate pairs included in the study, 126 (31.4%, 95% confidence interval = [26.9, 36.2]) neonates had at least one neonatal near miss event at discharge. Neonatal near miss was more likely among neonates from referred women (adjusted odds ratio = 2.24, 95% confidence interval = [1.25, 4.03]), no antenatal care (adjusted odds ratio = 2.08, 95% confidence interval = [1.10, 3.93]), antepartum hemorrhage (adjusted odds ratio = 4.29, 95% confidence interval = [2.16, 8.53]), premature rupture of membrane (adjusted odds ratio = 4.07, 95% confidence interval = [2.05, 8.07]), obstructed labor (adjusted odds ratio = 2.61, 95% confidence interval = [1.23, 5.52]), non-vertex presentation (adjusted odds ratio = 3.03, 95% confidence interval = [1.54, 5.95]), and primiparous (adjusted odd ratio = 2.67, 95% confidence interval = [1.49, 4.77]).

Conclusions

In this study, we found that neonatal near miss is higher than previous findings in Ethiopia. Improving neonatal near miss requires promoting antenatal care, maternal referral system, and early identification and management of obstetric complications.

A Case-Control Study on the Predictors of Neonatal Near-Miss: Implications for Public Health Policy and Practice

Purpose: Neonatal near miss (NNM) allows for the detection of risk factors associated with serious newborn complications and death, the prevention of which could reduce neonatal mortality. This study was conducted with the objective of identifying predictors for NNM in a tertiary hospital in Bangalore city.Methods: This was an unmatched case-control study involving 120 NNM cases and 120 controls. NNM was determined using Pileggi-Castro’s pragmatic and management criteria. Data was collected from in-patient hospital records and interviews of postpartum mothers. Multiple logistic regression of exposure variables was performed to calculate adjusted odds ratio (AOR) with 95% confidence interval (CI).Results: Significant predictors were maternal age ≥30 years (AOR, 5.32; 95% CI, 1.12 to 9.29; P=0.041), inadequate antenatal care (ANC) (AOR, 8.35; 95% CI, 1.98 to 51.12; P=0.032), <3 ultrasound scans during pregnancy (AOR, 12.5; 95% CI, 1.60 to 97.27; P=0.016), maternal anaemia (AOR, 18.96; 95% CI, 3.10 to 116.02; P=0.001), and any one obstetric complication (hypertensive disorder in pregnancy, diabetes in pregnancy, preterm premature rupture of membranes, prolonged labour, obstructed labour, malpresentation) (AOR, 4.34; 95% CI, 1.26 to 14.95; P=0.02).Conclusion: The predictors of NNM identified has important implications for public health policy and practice whose modifications can improve NNM. These include expanding essential ANC package to include ultrasound scans, ensuring World Health Organization recommendations of eight ANC visits, capacity building at all levels of health care to strengthen routine ANC and obstetric care for effective screening, referral and management of obstetric complications.

Prevalence of neonatal near miss and associated factors in Nepal: a cross-sectional study

BACKGROUND

The rate of neonatal mortality has declined but lesser than the infant mortality rate and remains a major public health challenge in low- and middle-income countries. There is an urgent need to focus on newborn care, especially during the first 24 h after birth and the early neonatal period. Neonatal near miss (NNM) is an emerging concept similar to that of maternal near miss. NNM events occur three to eight times more often than neonatal deaths. The objective of this study was to establish the prevalence of NNM and identify its associated factors.

METHODS

A hospital-based cross-sectional study was conducted in Koshi Hospital, Morang district, Nepal. Neonates and their mothers of unspecified maternal age and gestational age were enrolled. Key inclusion criteria were pragmatic and management markers of NNM and admission of newborn infants to the neonatal intensive care unit (NICU) in Koshi Hospital. Non-Nepali citizens were excluded. Consecutive sampling was used until the required sample size of 1,000 newborn infants was reached. Simple and multiple logistic regression was performed using SPSS® version 24.0.

RESULTS

One thousand respondents were recruited. The prevalence of NNM was 79 per 1,000 live births. Severe maternal morbidity (adjusted odds ratio (aOR) 4.52; 95% confidence interval (CI) 2.07-9.84) and no formal education (aOR 2.16; 95% CI 1.12-4.14) had a positive association with NNM, while multiparity (aOR 0.52; 95% CI 0.32-0.86) and caesarean section (aOR 0.44; 95% CI 0.19-0.99) had negative associations with NNM.

CONCLUSIONS

Maternal characteristics and complications were associated with NNM. Healthcare providers should be aware of the impact of obstetric factors on newborn health and provide earlier interventions to pregnant women, thus increasing survival chances of newborns.

The magnitude of neonatal near miss and associated factors among live births in public hospitals of Jimma Zone, Southwest Ethiopia, 2020: A facility-based cross-sectional study

BACKGROUND

Neonates with severe complications at birth or during the neonatal period who nearly died but survived constitute neonatal near miss (NNM) cases. Identifying NNM cases and correcting contributing factors are of the utmost importance to get relevant controls for neonatal deaths. However, limited studies are assessing the prevalence of NNM and associated factors with NNM cases in Ethiopia. So, this study is aimed at assessing the magnitude of neonatal near miss and associated factors among live births in public hospitals of Jimma zone, southwest Ethiopia, 2020.

METHODS

A facility-based cross-sectional study was conducted among 260 neonates from April 1-30 / 2020. Face to face interviewer-administered structured questionnaire was used to collect data from the mothers and a standard checklist was used for their neonates. The data was encoded and entered into Epi-Data version 4.2 and exported to SPSS version 23 for analysis. Independent variables with marginal associations (p-value <0.25) in the bivariable analysis were eligible for multivariable logistic regression analysis to detect an association with outcome variables. Finally, adjusted odds ratios (AOR) with 95% CI were used to estimate the strength of associations, and statistical significance was declared at a p-value < 0.05.

RESULT

The magnitude of NNM was 26.7% with [95%CI: 21.6-32.5]. Hypertension during pregnancy [AOR: 3.4; 95%CI: 1.32-8.88], mode of delivery [AOR: 3.32; 95%CI: 1.48-7.45], Obstructed labor [AOR: 2.95; 95%CI: 1.32-6.45] and non-vertex fetal presentation during delivery [AOR: 4.61; 95%CI: 2.16-9.84] were identified as significantly predictors of NNM.

CONCLUSION AND RECOMMENDATION

Over a quarter of the neonates were with NNM cases, which is relatively higher than the report of studies done in other countries. Hypertension during pregnancy, cesarean delivery, prolonged labor, and non-vertex fetal presentation were all found to increase the likelihood of NNM. Therefore, concerted efforts are needed from local health planners and health care providers to improve maternal health care services especially in early identification of the complications and taking appropriate management.

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 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.

Associated factors with neonatal near miss in twin pregnancies in a public referral maternity unit in Brazil

Objective

The aim was to analyze the factors associated with neonatal near miss (NNM) in twin pregnancies in a public referral maternity unit in Brazil.

Material and Methods

This retrospective, cross-sectional study included 697 twin newborns. Cases of fetal and neonatal deaths were excluded. Neonates were divided into those meeting NNM criteria (5 min Apgar score <7, birth weight <1,500 g, gestational age at delivery <32 weeks, use of mechanical ventilation or congenital malformation, transfer before 28 days of life) and those who did not. In the bivariate analysis, the chi-square and Fisher's exact tests were used. Variables with a p-value ≤0.20 were subjected to the multiple analyses, which followed the Poisson regression model.

Results

The cohort consisted of 130 (18.7%) neonates meeting NNM criteria and 567 (81.3%) with no NNM criteria after multiple analyses, the following variables were associated with NNM: no previous pregnancy, prevalence ratio (PR): 1.38 [95% confidence interval (CI), 1.03-1.85]; >3 previous pregnancies, PR: 1.93 (95% CI, 1.38-2.69); premature rupture of membranes, PR: 1.50 (95% CI, 1.70-2.12); intrauterine growth restriction, PR: 2.28 (95% CI, 1.53-3.33); premature labor, PR: 1.63 (95% CI, 1.13-2.35); resuscitation in the delivery room, PR: 1.80 (95% CI, 1.24-2.62); and transfusion of blood products, PR: 4.44 (95% CI, 3.14-6.28).

Conclusion

The study findings indicate that having had 0 or >3 previous pregnancies, premature rupture of the membranes, intrauterine growth restriction, resuscitation in the delivery room, premature labor, and transfusion of blood products were associated with NNM in twin pregnancies.

Neonatal near misses and associated factors among mother's who give a live neonate at Hawassa City governmental hospitals, 2019: a facility based cross-sectional study design

BACKGROUND

Neonatal near miss is a neonate who nearly died but survived from a severe complication occurred during pregnancy, birth or within 0-28 days of extra-uterine life. However, there is no available data that quantifies the magnitude of neonatal near miss (NNM) in Ethiopia where there is high prevalence of neonatal mortality. Therefore, this study is designed to provide information about the magnitude and associated factors of neonatal near miss among women who give a live birth at Hawassa City Governmental hospitals, 2019.

METHODS

A facility based cross-sectional study design was conducted on 604 mothers who gave live neonates at Adare General Hospital and Hawassa University Comprehensive and Specialized Hospital from May 9, 2019 to June 7, 2019. Face to face interviewer administered structured questionnaire with a supplementation of maternal and neonatal medical records with checklists were used to collect the data. Data were coded and entered in to Epi data version 3.1 and then exported to the Statistical Package for Social Science IBM version 25 for analysis. Descriptive statistics was run and the data were presented using frequency tables and figure. The bi-variable and multivariable logistic regression was used to identify the possible factors of neonatal near miss. Finally, Adjusted Odds Ratio and 95% Confidence Intervals were used to declare statsticall significance.

RESULT

Among all 604 selected live births an overall proportion of NNM cases, 202 (33.4%) (95% CI: 29.7-37.1%) was obtained at Hawassa City Government Hospitals. Respiratory distress 158 (94%) and infection or sepsis 138 (84%) were found to be the leading causes of NNM cases in our study. Governmental and non-governmental employed mother (AOR = 3.05, 95% CI: 1.46-6.44) and Cesarean Section delivery (AOR = 1.89, (95% CI: 1.25-2.83)) were positively significantly associated with neonatal near miss. Whereas, pregnancy induced Hypertension (AOR = 0.43, 95%CI: 0.27-0.69) was negatively associated with neonatal near miss.

CONCLUSION

This study revealed relatively high prevalence of NNM in the study areas. Employed women, pregnancy induced hypertension and cesarean section mode of delivery were found to be independent factors affecting the prevalence of NNM cases. Therefore, HUCSH and Adare general Hospitals should focus on proving quality antenatal care and prevention of occupational related problems among pregnant women.

Factors associated with neonatal near miss in Brazil

OBJECTIVE:

This study evaluates the association between sociodemographic factors, maternal characteristics, organization of health services and neonatal near miss in public and private maternity hospitals in Brazil.

METHODS:

This is a prospective cohort of live births from the Nascer no Brasil survey, carried out between 2011 and 2012. Variables were established from the literature and organized on three levels: distal, intermediate, and proximal. The assessment was performed based on results of the bivariate analyzes and their respective p-values, with a significance level <0.20, using the Wald test. For multivariate analysis, the variables contained at the distal level were inserted, preserved in the model when significant (p < 0.05). This was also done when adjusting the intermediate and proximal levels.

RESULTS:

At the distal level, no variable was significantly associated with the outcome. At the intermediate level, mother's age greater than or equal to 35 years (relative risk – RR = 1.32; 95%CI 1.04–1.66), cesarean delivery (RR = 1.34; 95%CI 1.07–1.67), smoking (RR = 1.48; 95%CI 1.04–2.10), gestational hypertensive syndrome (RR = 2.29; 95%CI 1.98–3.14), pre-gestational diabetes (RR = 2.63; 95%CI 1.36–5.05) and twin pregnancy (RR = 2.98; 95%CI 1.90–4.68) were variables associated with the outcome. At the proximal level, inadequate prenatal care (RR = 1.71; 95%CI 1.36–2.16) and the hospital/maternity being located in a capital city (RR = 1.89; 95%CI 1.40–2.55) were associated with neonatal near miss.

CONCLUSIONS:

The results show that neonatal near miss was influenced by variables related to the organization of health services and by maternal characteristics.

Neonatal near Miss and Its Predictors among Neonates Delivered at Debretabor General Hospital, Northern Ethiopia; A Retrospective Analysis

Background

In many low-resource countries, the progress of neonatal mortality reduction is very slow. The scenario is notably true in sub-Saharan Africa including Ethiopia. For every neonatal death, there are lots of near missed neonates. Generating evidences on the extent and predictors of neonatal near miss is a key step in neonatal mortality reduction efforts. However, there is limited evidence in this aspect in Ethiopia.

Objective

This study is aimed at assessing the proportion of neonatal near miss and associated factors among neonates delivered at Debretabor General Hospital, Northern Ethiopia, 2019.

Methods

An institution-based cross-sectional study was conducted on 422 neonates delivered at Debretabor General Hospital from July 1^st, 2018, to June 30^th, 2019. Both pragmatic and management criteria of definition of neonatal near miss were utilized. A systematic random sampling technique was used to select the cards of the study participants. Data were extracted with structured and pretested checklist, entered in the EpiData, and then exported to SPSS version 20. Both descriptive and analytical procedures have been done. Descriptive statistics such as frequencies and cross tabulations were carried out. The binary logistic regression model was fitted and variables with p value < 0.20 were entered in the multivariable logistic regression model. Both crude and adjusted odds ratios with the corresponding 95% CI were computed. The level of significance has been claimed based on the adjusted odds ratio with 95% CI and its p value of ≤0.05.

Results

The proportion of neonates experiencing near miss was obtained to be 32.2% with 95% CI (28, 36). Rural residence (AOR = 4.41; 95% CI: 2.57,7.55), incomplete ANC visit (AOR = 3.16; 95% CI: 1.90,5.25), primiparous (AOR = 2.55; 95% CI: 1.59,4.12), pregnancy-induced hypertension (AOR = 3.23; 95% CI: 1.19,8.78), premature rupture of membrane (AOR = 4.65; 95% CI: 1.70,12,73), cephalic-pelvic disproportion (AOR = 3.05; 95% CI: 1.32,7.01), and antepartum hemorrhage (AOR = 4.95; 95% CI: 1.89,12.96) were the independent predictors of neonatal near-miss. Conclusion and Recommendations. The proportion of neonatal near miss was found to be high in the study setting. Most of the determinants of near miss are modifiable obstetric-related factors. Hence, stakeholders need to consider the aforesaid factors while they design interventions.

Inequalities in infant mortality in Brazil at subnational levels in Brazil, 1990 to 2015

Background

In this study, infant mortality rate (IMR) inequalities are analyzed from 1990 to 2015 in different geographic scales.

Methods

The Ministry of Health (MoH) IMR estimates by Federative Units (FU) were compared to those obtained by the Global Burden of Disease (GBD) group. In order to measure the inequalities of the IMR by FU, the ratios from highest to lowest from 1990 to 2015 were calculated. Maps were elaborated in 2000, 2010, and 2015 at the municipality level. To analyze the effect of income, IMR inequalities by GDP per capita were analyzed, comparing Brazil and the FU to other same-income level countries in 2015, and the IMR municipal estimates were analyzed by income deciles, in 2000 and 2010.

Results

IMR decreased from 47.1 to 13.4 per 1000 live births (LB) from 1990 to 2015, with an annual decrease rate of 4.9%. The decline was less pronounced for the early neonatal annual rate (3.5%). The Northeast region showed the most significant annual decline (6.2%). The IMR estimates carried out by the GBD were about 20% higher than those obtained by the MoH, but in terms of their inequalities, the ratio from the highest to the lowest IMR among the 27 FU decreased from 4 to 2, for both methods. The percentage of municipalities with IMR higher than 40 per 1000 LB decreased from 23% to 2%, between 2000 and 2015. Comparing the IMR distribution by income deciles, all inequality measures of the IMR decreased markedly from 2000 to 2010.

Conclusion

The results showed a marked decrease in the IMR inequalities in Brazil, regardless of the geographic breakdown and the calculation method. Despite clear signs of progress in curbing infant mortality, there are still challenges in reducing its level, such as the concentration of deaths in the early neonatal period, and the specific increases of post neonatal mortality in 2016, after the recent cuts in social investments.

EARLY NEONATAL NEAR MISS IN A UNIVERSITY HOSPITAL: COMPARATIVE CROSS-SECTIONAL STUDY

OBJECTIVE

To compare 2012 and 2016 data on early neonatal near miss indicators from Health Information Systems at a university hospital.

METHODS

This is a cross-sectional study conducted in 2012 and 2016. We considered early neonatal near misses the live births that presented one of the following risk conditions at birth: gestational age <33 weeks, birth weight <1,750g or 5-minute Apgar score <7, or Neonatal Intensive Care Unit (NICU) admission, and were alive until the 7th day of life. Data were collected from the Live Birth Information System, Hospital Information System, and Mortality Information System. We calculated the early neonatal mortality rate, neonatal near miss rate, severe neonatal outcome rate, early neonatal survival index, and early neonatal mortality index, compared by year of birth.

RESULTS

In 2012, 304 early neonatal near misses were registered, with a higher proportion of cases with very low birth weight and mothers who had zero to three prenatal visits. In 2016, the number of cases was 243, with a predominance of more NICU admissions. The incidence of early neonatal deaths and early neonatal near misses was higher in 2012 than in 2016.

CONCLUSIONS

Neonatal near miss indicators identified difference between years. The cases were more severe in 2012 and there were more NICU admissions in 2016.

Incidence and determinants of neonatal near miss in south Ethiopia: a prospective cohort study

Background

For every neonate who dies, many others experience a near miss event that could have but did not result in death. Neonatal near miss is three to eight times more frequent than neonatal deaths and, therefore, is more useful for assessing the determinants of adverse neonatal outcomes. The aim of this study was to assess the incidence and determinants of neonatal near miss in south Ethiopia.

Methods

A facility-based prospective study was conducted among 2704 neonates between 12 July to 26 November 2018. The neonates were followed from the time of admission to hospital discharge or seven postpartum days if the newborn stayed in the hospital. The data were collected by interviewer-administered questionnaire and medical record review. Logistic regression was employed to identify the distant, intermediate and proximal factors associated with neonatal near miss. The independent variables were analysed in three hierarchical blocks. Adjusted odds ratios (AORs) and 95% confidence intervals (CIs) were used to determine the strength of the associations.

Results

The incidences of neonatal near miss and neonatal death were 45.1 (95% CI = 37.7–53.8) and 17.4 (95% CI = 13.0–23.3) per 1000 live births, respectively. Of those newborns who experienced neonatal near miss, more than half (59.8%) of their mothers were referred from other health facilities. After adjusting for potential confounders, the odds of neonatal near miss were significantly higher among neonates with a low monthly income (< 79 USD monthly), a birth interval of less than 24 months and where severe maternal complications had occurred.

Conclusion

Strategies to improve neonatal survival need a multifaceted approach that includes socio-economic and health-related factors. The findings of this study highlight important implications for policymakers with regard to neonatal near miss. In particular, addressing inequalities by increasing women’s income, promoting an optimal birth interval of 24 months or above through postpartum family planning, and preventing maternal complications may improve newborn survival.

Risk of Severe Adverse Maternal and Neonatal Outcomes in Deliveries with Repeated and Primary Cesarean Deliveries versus Vaginal Deliveries: A Cross-Sectional Study

Objective

To determine risks of severe adverse maternal and neonatal outcomes in women with repeated cesarean delivery (CD) and primary CD compared with those with vaginal delivery (VD).

Methods

Data of this cross-sectional study were extracted from 2,262 pregnant women who gave birth between August 2014 and December 2016, at Srinagarind Hospital, Khon Kaen University. Severe maternal outcomes were categorized based on the World Health Organization criteria. Adjusted odds ratio (aOR) and 95% confidence intervals (CI) were calculated to indicate the risk of severe adverse maternal and neonatal outcomes among women underwent CD compared with those who underwent VD.

Results

There were no cases of maternal death in this study. CD significantly increased risk of severe adverse maternal outcomes (SMO) (aOR 10.59; 95% CI, 1.19-94.54 for primary CD and aOR 17.21; 95% CI, 1.97-150.51 for repeated CD) compared with women who delivered vaginally. When compared with vaginal delivery, the risks of neonatal near miss (NNM) and severe adverse neonatal outcomes (SNO) were significantly higher in primary CD group (aOR 1.71; 95% CI 1.17-2.51 and aOR 1.66; 95% CI 1.14-2.43), respectively. For repeated CD, the risks were borderline significant (aOR, 1.58; 95% CI, 0.98-2.56 for NNM and aOR, 1.61; 95% CI, 0.99-2.60 for SNO).

Conclusion

Primary and repeated CD significantly increased the risk of SMO compared with VD. Risks of NNM and SNO were also significantly increased in women with primary CD. The risks of NNM and SNO for repeated CD trended toward a significant increase.

Factors associated with neonatal near-miss in selected hospitals of Gamo and Gofa zones, southern Ethiopia: nested case-control study

Background

To scale up a comprehensive way of implementation to reduce neonatal mortality evaluation of factors for neonatal near-miss cases is very important. Certain studies were done in assessing near-miss cases, but they failed in identifying the proximate factors affecting profoundly. So, this study is to fill those gaps in the aforementioned studies, in assessing the factors affecting neonatal near-miss cases.

Methods

A nested case-control study was conducted in selected three Hospitals of Gamo and Gofa Zones, Southern Ethiopia from April 5, 2018, to March 5, 2019. The structured standard tool was used to identify neonatal near-miss cases. Data were entered into Epi data version 3.1 and exported to Stata version 15 for analysis. A conditional logistic regression model was used to identify factors associated with near-miss cases. The goodness of fit was tested by a log-likelihood ratio (LR). In this study P-value < 0.05 was considered to declare a result as a statistically significant association.

Results

In this study 121 neonatal near-miss cases, and 363 controls were involved. The identified factors that affect neonatal near-miss were multiparty (AOR = 3.81, 95%CI: 1.72, 8.42), antenatal care follow up (AOR = 0.02, 95%CI: 0.01, 0.05), premature rupture of membrane (AOR = 3.40, 95%CI: 1.53, 7.55), non-vertex presentation (AOR = 2.83, 95%CI: 1.44, 5.58), and cesarean delivery (AOR = 4.89, 95%CI: 2.34, 10.24).

Conclusions

Those identified factors are better should be intervened. Strengthening antenatal care services by providing appropriate information for the mother and counseling about the consequences of multiparty and providing information on family planning. There is a need to identify, screen and critical follow high-risk mothers and give immediate and appropriate intervention as early as possible.

Neonatal mortality and its determinates in public hospitals of Gamo and Gofa zones, southern Ethiopia: prospective follow up study

BACKGROUND

The neonatal period is the most vulnerable time for child survival. The declines in the neonatal mortality rate have been slower than the post-neonatal under-five mortality rate in the majority of countries. This trend is also similar in Ethiopia, that neonatal mortality was high as compared to the post-neonatal mortality rate. A large proportion of neonatal deaths occur during the 48 h after delivery. Different studies were conducted in assessing determinates for neonatal mortality but there is a need to assess the immediate postnatal (within 2 days following delivery) cause of neonatal mortality that the majority of deaths occurred at that time. So, this study is to fill those gaps of the aforementioned studies, in assessing the determinate factors affecting neonatal mortality in public hospitals of Gamo and Gofa Zones, Southern Ethiopia.

METHODS

A prospective follow up study was conducted among 6769 study participants from April 5, 2018, to March 5, 2019. All live births at the hospitals during the study period were included in this study. A structured verbal autopsy questionnaire was used to collect the data on the causes of neonatal death. Data were entered into Epi data version 3.1 and exported to Stata version 15 for analysis. Crude and adjusted estimate β with 95%CI was calculated in the binary logistic regression model. A log-likelihood ratio (LR) was tested for goodness of fit. In this study P-value < 0.05 was considered to declare a result as a statistically significant association.

RESULTS

In this study, neonatal mortality incidence ratio was 9.6 (95%CI: 7.5, 12.2) per 1000 live births. Age of the mother, number of antenatal care visits, sex of the neonate, presentation, and gestational age were identified as the significant determinates for neonatal mortality cases. Prematurity, infection, and birth asphyxia were the most common causes of neonatal mortality cases.

CONCLUSIONS

This study indicated that a significant number of neonates died during the neonatal period. Both maternal and neonatal factors were identified. Therefore, early identification of obstetric complications and immediate interventions, strengthening the provision of quality antenatal and postnatal care services are recommended.

NEONATAL MORBIDITY NEAR MISS IN TERTIARY HOSPITALS IN A CAPITAL OF NORTHEAST BRAZIL

OBJECTIVE

To characterize near miss neonatal morbidity in tertiary hospitals in a capital city of Northeast Brazil based on Health Information Systems, and to identify differences regarding indicators of near miss cases, allowing the surveillance of newborns with risk of death.

METHODS

A cross-sectional study carried out in hospitals with neonatal intensive care unit, whose neonatal near miss cases in 2012 were identified from a deterministic linkage between the Mortality Information System and the Live Birth Information System. The biological variables of children, variables related to maternal characteristics and indicators of near miss were calculated by type of service and hospital. Biological variables of children, variables related to maternal characteristics and near miss indicators were calculated by service type and hospital and then compared by ratio difference test, parametric and non-parametric tests for measures of central tendency.

RESULTS

Of 24,254 live births, 2,098 cases of neonatal morbidity near miss were identified, most of them concentrated in the public hospitals (89.9%). The combination of birth weight and gestational age had the largest number of cases in both segments, public (43.5%) and private (46%). Variations in neonatal near miss indicators were observed between hospitals, which suggests assistance problems.

CONCLUSIONS

The concept of neonatal near miss, its applicability with data from Health Information Systems, and its indicators are a preliminary tool to monitor hospital care for newborns by signaling health services that require in-depth evaluation and investments for quality improvement.

Incidence and risk factors for Preeclampsia in a cohort of healthy nulliparous pregnant women: a nested case-control study

The objective of this study is to determine the incidence, socio-demographic and clinical risk factors for preeclampsia and associated maternal and perinatal adverse outcomes. This is a nested case-control derived from the multicentre cohort study Preterm SAMBA, in five different centres in Brazil, with nulliparous healthy pregnant women. Clinical data were prospectively collected, and risk factors were assessed comparatively between PE cases and controls using risk ratio (RR) (95% CI) plus multivariate analysis. Complete data were available for 1,165 participants. The incidence of preeclampsia was 7.5%. Body mass index determined at the first medical visit and diastolic blood pressure over 75 mmHg at 20 weeks of gestation were independently associated with the occurrence of preeclampsia. Women with preeclampsia sustained a higher incidence of adverse maternal outcomes, including C-section (3.5 fold), preterm birth below 34 weeks of gestation (3.9 fold) and hospital stay longer than 5 days (5.8 fold) than controls. They also had worse perinatal outcomes, including lower birthweight (a mean 379 g lower), small for gestational age babies (RR 2.45 [1.52-3.95]), 5-minute Apgar score less than 7 (RR 2.11 [1.03-4.29]), NICU admission (RR 3.34 [1.61-6.9]) and Neonatal Near Miss (3.65 [1.78-7.49]). Weight gain rate per week, obesity and diastolic blood pressure equal to or higher than 75 mmHg at 20 weeks of gestation were shown to be associated with preeclampsia. Preeclampsia also led to a higher number of C-sections and prolonged hospital admission, in addition to worse neonatal outcomes.

Adverse perinatal outcomes are associated with severe maternal morbidity and mortality: evidence from a national multicentre cross-sectional study

PURPOSE

To assess the association between maternal potentially life-threatening conditions (PLTC), maternal near miss (MNM), and maternal death (MD) with perinatal outcomes.

METHODS

Cross-sectional study in 27 Brazilian referral centers from July, 2009 to June, 2010. All women presenting any criteria for PLTC and MNM, or MD, were included. Sociodemographic and obstetric characteristics were evaluated in each group of maternal outcomes. Childbirth and maternal morbidity data were related to perinatal adverse outcomes (5th min Apgar score < 7, fetal death, neonatal death, or any of these). The Chi-squared test evaluated the differences between groups. Multiple regression analysis adjusted for the clustering design effect identified the independently associated maternal factors with the adverse perinatal outcomes (prevalence ratios; 95% confidence interval).

RESULTS

Among 8271 cases of severe maternal morbidity, there were 714 cases of adverse perinatal outcomes. Advanced maternal age, low level of schooling, multiparity, lack of prenatal care, delays in care, preterm birth, and adverse perinatal outcomes were more common among MNM and MD. Both MNM and MD were associated with Apgar score (2.39; 1.68-3.39); maternal hemorrhage was the most prevalent characteristic associated with fetal death (2.9, 95% CI 1.81-4.66) and any adverse perinatal outcome (2.16; 1.59-2.94); while clinical/surgical conditions were more related to neonatal death (1.56; 1.08-2.25).

CONCLUSION

We confirmed the association between MNM and MD with adverse perinatal outcomes. Maternal and perinatal issues should not be dissociated. Policies aiming maternal care should include social and economic development, and improvements in accessibility to specialized care. These, in turn, will definitively impact on childhood mortality rates.