Audit of Neonatal Deaths According to the Three Delays Model in a Referral Hospital

Abstract

Introduction: Neonatal mortality is a key indicator of international development. Its reduction remains a challenge and a concern for Côte d’Ivoire, which has a high ratio of neonatal deaths (30 per 100,000 live births). The causes are known in the hospitals. We analyzed the causes of neonatal deaths and the factors contributing to them in a second level health facility. Patients and method: The audit of neonatal deaths took place between January 1 2022 to December 31 2022 in the neonatal unit of the Abobo Regional Hospital, using the three delays model. Results: The neonatal mortality rate was 14%, and the main direct causes were neonatal asphyxia (34%), neonatal infection (24%) and prematurity (14%). The three most common delays were: delay in decision-making (84.2%), delay in access to health services (20.2%) and delay in receiving appropriate care (15.7%). These three delays multiplied the risk of death by 1.94, 0.52 and 3.69 respectively. The three other delays were: delay in decision-making (84.2%), delay in access to healthcare services (20.2%) and delay in receiving appropriate care (15.7%). These three delays multiplied the risk of death by 1.94, 0.52 and 3.69 respectively. Conclusion: Neonatal asphyxia and prematurity are the main direct causes of neonatal mortality in our department. To reduce neonatal mortality, it is necessary to overcome the three contributing delays through the effective implementation and evaluation of emergency obstetric and neonatal care.

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Cyprien, K. , Augustine, D. , Isabelle, D. , André, G. , Charlène, S. , Amoro, M. , Stella, N. and Amorissani, F. (2025) Audit of Neonatal Deaths According to the Three Delays Model in a Referral Hospital. Open Journal of Pediatrics, 15, 189-197. doi: 10.4236/ojped.2025.152017.

1. Introduction

According to the WHO, 295,000 women and 2.5 million newborns die every year during childbirth from preventable causes. In addition, 2.6 million stillbirths occur every year. Around 98% of these deaths occur in low-resource countries [1]-[4]. In sub-Saharan Africa, including Côte d’Ivoire, various demographic and health surveys show that neonatal mortality accounts for 40% of infant deaths [5] and is higher in absolute terms than in the rest of the world. The challenge for this country is to ensure a high quality of care [6]. This involves identifying care problems and adopting good practices. The WHO recommends carrying out an audit of morbidity and neonatal deaths to identify and implement ways of improving the quality of maternal and neonatal care [7]. Through this process, hospital staff can learn from the audited cases and improve care. The Ministry of Health of Côte d’Ivoire has included in its action plan for the survival of newborns, a decentralization of the care of newborns in regional hospitals as one of the interventions to be implemented. The Ministry of Health of Côte d’Ivoire has included in its action plan for newborn survival, a decentralization of the care of newborns in regional hospitals as one of the high-impact interventions for the reduction of neonatal mortality [8].

This is how a neonatal unit has been opened in a regional hospital (CHR), which is a second-level hospital in the Ivorian health pyramid. To firmly anchor this decentralization policy, it is important to put in place a strategy for large-scale implementation. To facilitate this transition, an audit of neonatal deaths was carried out in this unit. The aim of this study was to provide teams with tools enabling them to understand the causes and factors leading to neonatal deaths.

2. Method

2.1. Population and Methods

2.1.1. Scope of the Study

This study took place at the regional hospital center (CHR) d’Abobo in Abidjan, in the neonatology unit. The healthcare system in Côte d’Ivoire is organized as a three-level pyramid, with the lower level referring to the level immediately above. The CHR is a secondary-level health center located in the middle of this pyramid (see Figure 1). The CHR has a maternity unit. This means that all newborn babies come either from the CHR maternity unit, or from peripheral maternity units.

Figure 1. Lung enlargement technique used.

2.1.2. Type, Population and Duration of Study

This case-control study ran from January 1st 2022 to December 31st 2022 (12 months). All neonates hospitalized during the study period were included. Cases were neonates who died and controls were neonates who had a favorable outcome. Each case was matched with 3 controls. Neonates admitted to the neonatal unit whose condition did not require hospitalization and neonates who arrived dead were not included in the study.

2.2. Data Collection and Analysis

A data collection form was used to gather information on all neonatal deaths from medical records. The variables collected concerned the characteristics of the mothers: age, profession, level of education, number of prenatal consultations, gestational age, parity, prenatal check-up, pathologies during pregnancy, delivery (place, term, route of delivery) and the characteristics of the newborns: age on admission, sex, weight, gestational age, place of delivery, Apgar score at five minutes, reason for admission, notion of resuscitation, time between onset of signs and consultation, pathologies responsible for death, length of hospital stay. Because the study is retrospective, the nutritional status of the mothers and the father’s education level could not be reported. The audit of neonatal deaths was conducted according to WHO recommendations [9]. So, the first delay refers to the decision to go to a health service (insufficient prenatal consultation (ANC), incomplete prenatal check-up (BPN), consultation time for the sick newborn greater than 30 min). The WHO recommends eight contacts until delivery to detect congenital anomalies and possible pathologies which could have a negative impact on the progress of the pregnancy [10].

The second delay refers to the inaccessibility of health services once the decision to go has been made (mother’s profession, birth in a peripheral maternity hospital, mother’s level of education). The third delay refers to the time spent waiting for adequate management after arrival at a health facility (promptness and quality of hospital care). For each neonatal death, the auditors compared the various items with existing standards. Then, to bring statistical significance to the findings, each death was matched with three controls. The data were entered and analyzed using Excel and XLSTAT. Statistical analysis was based on univariate comparisons between deceased neonates and controls. Odds ratios (OR) with 95% confidence intervals (95% CI) were calculated for each parameter studied. Pearson’s χ2 test was used to compare proportions at the 5% p significance level. For these tests, a p-value <0.05 indicates a statistically significant difference.

3. Results

3.1. Maternal Characteristics

Of the 1495 newborns admitted during the study period, 280 newborns were included in the study, including 210 live newborns and 70 deceased newborns. The sex ratio was 1.27. The average age of the mothers was 28, and 81% were uneducated and 36% unemployed. At the time of pregnancy follow-up, 47% of mothers had attended fewer than four prenatal consultations. Table 1 shows the characteristics of the mothers.

Table 1. Maternal socio-demographic characteristics.

Effective (n=280)

Percentage (%)

Maternal age (years)

Less than 20

35

12.5

20 - 30

151

54

31 - 40

86

31

> 40

8

2.5

Education level

Never attended

227

81

Primary

17

6

Superior

36

13

Professional activity

Informal sector

97

35

Housekeeper

36

13

Pupil/Student

34

12

Civil servant

13

5

Unemployed

100

36

3.2. Characteristics of Newborns

The consultation time in the neonatal unit was less than 72 hours in 79% of cases. Premature babies represented 20% of cases and full-term newborns 80%. These children were born within the center in 68% of cases. The characteristics of the newborns are summarized in Table 2.

Table 2. Characteristics of newborns.

Effective (n = 280)

Percentage (%)

Gestational age (SA)

< 28

5

2

28 - 32

12

3

33 - 36

13

5

> 37

223

80

Weight (grams)

< 1500

19

7

1500 - 2000

33

12

> 2000

228

81

Place of birth

CHR Abobo

190

68

Autres maternités

90

32

Neonatal admission age (hours)

< 24

175

62

24 - 72

47

17

> 72

58

21

Pathologies encountered in neonatology

Complications of per partum asphyxia

24

8,5

Neonatal infection

24

8,5

Complications of prematurity

30

10,7

Length of hospital stay (days)

< 7

239

85

> 7

41

15

3.3. Frequency and Causes of Death

The mortality rate was 14%. Direct causes of death are summarized in Table 3.

Table 3. Direct causes of neonatal mortality.

Cause of death

Effective

(%)

Complications of perinatal asphyxia

30

10.7

Neonatal infection

17

6

Prematurity

13

4.6

Respiratory distress

8

3

Hemorrhagic syndrome

1

0.3

Brain damage (31.5%), prematurity (28%), respiratory distress (21%) and neonatal infection (9.5%) were the main direct causes of death.

3.4. Fatality Analysis Using the Three Delays Model

3.4.1. Impact of the First Delay on the Occurrence of Neonatal Deaths

Factors

Deceased

Living

P

n

%

n

%

ACN

< 4

40

57

91

43

0.048

>4

30

43

119

57

BPN

Uncomplete

61

87

163

78

0.109

Complete

9

13

47

22

Consultation time (minutes)

< 30

26

37

75

36

0.013

> 30

44

63

135

64

Existence of 1st delay

yes

44

63

135

64

0.013

No

26

37

75

36

Total

70

100

210

P = 0.013. OR = 1.27 (0.73 – 2.21)

There was a statistically significant link between the existence of the first delay and death. This delay multiplied the risk of death by 1.27.

3.4.2. Impact of the Second Delay on the Occurrence of Neonatal Deaths

Facteurs

Deceased

Living

P

N

%

N

%

Place of delivery

CHR Abobo

42

60

148

71

0.8

Others

27

40

62.

25

Mother’s level of education

Educated

58

83

121.

58

0.04

Unducated

12

17

89

42

Profession of mothers

Employed

3

4

146

70

0.005

Not employed

67

96

64

30

Existence of the 2nd

delay

Yes

27

40

153

73

0.157

No

42

60

57

27

Total

70

100

210

3.4.3. Impact of Third Delay on Neonatal Deaths

Factors

Deceased

Living

P

N

%

N

%

Blood sugar

Done

45

63

126

60

0.8

Not done

26

37

84

40

C-reactive protein

Done

33

47

121

58

0.04

Not done

37

53

89

42

Complete blood count

Done

52

74

146

70

0.005

Not done

18

26

64

30

Existence of the 3rd

delay

Yes

55

79

153

73

0.157

No

15

21

57

27

Total

70

100

210

4. Discussion

This study enabled us to carry out an audit of neonatal deaths, the aim of which is to improve patient care. The audit can be carried out in several ways [11]. The three delays model designed by Thaddéus and Maine in 1994 [10] initially to audit maternal deaths has been little used in audits of neonatal deaths [12]. Its use in our study enabled us to determine the main direct causes of newborn death and to analyze the factors contributing to the three delays. The mortality rate was 14%, and the main causes of death were neonatal asphyxia (34%), neonatal infection (24%) and prematurity (14%). Our data are in line with those of several other authors, but in a different order [13]-[18] neonatal asphyxia has immediate repercussions on the morbidity and mortality of the newborn, as well as sometimes serious consequences for the child’s development [19]. There is a need to reinforce guidelines aimed at transferring high-risk pregnancies in utero to specialized centers where the mother and newborn can be properly cared for, with a view to reducing maternal and infant mortality [12]. Similarly, emergency obstetric and neonatal care, and resuscitation of the newborn in the delivery room, must be taught in all centers that deliver babies. In addition, proper monitoring of labor with a partogram would prevent many cases of perinatal asphyxia [12]. Neonatal infection was the second leading cause of death. Several factors could explain infections in newborns. On the one hand, factors linked to the mother’s urogenital infections, which accounted for 22.9% of untreated or poorly treated infections during pregnancy, and on the other, poor hygiene conditions during hospitalization. According to Nyenga’s study, obstetrical history was a factor in neonatal infections [20]. Reinforcing the prevention of urogenital infections in mothers is necessary [12] [21]. The audit process enabled us to note that the third delay (78.6%) was the most frequent, followed by the first delay (63%), then the second delay (40%). In the study by Mbaruku et al. in Tanzania, the third delay (72.5%) was the most frequent, followed by the second delay (21.5%) and the first delay (19%) [12].

On the other hand, for Fla Koueta et al, the second delay (77%) was the most frequent, followed by the third delay (66.9%) and finally the first delay (64.4%) [22]. The overall analysis of these results authorizes us to say that the delay in deciding to go to a health service causes the greatest number of deaths. In fact, the first delay was noted in 62.9% of deaths, and significantly increased the risk of death, with an odds ratio of 1.27. This underlines the importance of pregnancy monitoring, whose parameters and interventions are crucial to the harmonious growth of the newborn, as well as mothers’ lack of awareness of danger signs [23]. Pregnancy monitoring needs to be strengthened by improving ANC for early detection of high-risk pregnancies [24]. The second delay was observed in 40% of deaths.

The contributing factors were origin from a peripheral maternity hospital and low socio-economic status, but we found no statistical link between these factors and death. For Mbaruku et al. and Hinderaker et al. in Tanzania, this delay is not only linked to the remoteness of the health center and poverty, but also and above all to the poor organization of the referral system [12] [25] [26]. Emergency obstetric and neonatal care (EmONC) should emphasize essential care at birth and emergency gestures to be performed in the event of vital distress before any transfer, which should be medicalized. The third delay (79%) was encountered in hospital. This was mainly due to a delay in the start of treatment because the paraclinical work-up had not been carried out urgently. For Kedy Koumet et al., the factors influencing in-hospital mortality are the socio-economic environment, access to care, patient type, technical facilities and human resources [15].

5. Conclusion

Neonatal mortality remains high and results from a delay in consultation and monitoring of pregnancy. Measures must be taken to reduce this delay.

Authors’ Contributions

Kouakou Cyprien: conception, data collection, data entry, data analysis, and drafting of the manuscript

Djivohessoun Augustine: participation in study design and manuscript writing.

Djoman Isabelle, Gro Bi Andre, Mansou Komenan: participation in drafting the manuscript.

Folquet A. Designing and carrying out the work of collecting the results, Reading and revising the manuscript. All authors have read and approved the final version of the manuscript.

Conflicts of Interest

The authors declare no conflicts of interest regarding the publication of this paper.

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