By Ikobho, EH; Atemie, G;
Addah, A (2024).
|
Greener Journal of
Medical Sciences Vol. 14(2), pp. 77-88, 2024 ISSN: 2276-7797 Copyright ©2024, the copyright of this article is retained by the
author(s) |
|
Click on Play button...
The Effects of
Obstetrics and Hospital Logistic Factors on Birth Asphyxia, in Babies
Delivered by Emergency Caeserean Section
Dr. Ikobho Ebenezer
Howell1*; Dr. Atemie Gordon2; Dr. Addah Abednigo3
1* Associate
Professor, Department of Obstetrics and Gynecology,
Niger Delta University Teaching Hospital, Yenagoa, Bayelsa State, Nigeria.
2
Department of Obstetrics and Gynecology, Federal Medical Center, Yenagoa, Bayelsa State, Nigeria.
3 Department of Obstetrics and Gynaecology, Niger Delta University Teaching Hospital.
|
ARTICLE’S INFO |
|||
|
Article No.: 052124069 Type: Research |
Accepted:
22/05/2024 Published: 05/06/2024 |
*Corresponding Author Dr Ikobho Ebenezer
Howell E-mail: ikobhoebenezer12@ gmail.com Phone: +2348037055273 |
Keywords: |
|
|
|
|
|
|
ABSTRACT |
|
|
|
Background: Birth asphyxia following delivery by emergency caesarean section is
quite common, and it’s highly associated with perinatal morbidity and
mortality. Objectives: To determine the effects of obstetric factors on birth asphyxia
following emergency caesarean section. It would also determine the extent to
which delay in carrying out caesarean section impacts on birth asphyxia, with
respect to hospital, laboratory and patient related logistic factors. Method and materials: This was a retrospective cross-sectional
study of 184 women delivered by emergency caesarean section. Data was collected in the labour ward, labour ward theatre, and
antenatal ward. Information relevant to this study obtained include: patients
bio-data, and obstetrics factors such as booking status, duration of labour,
the indication for caesarean section, source of referral, and whether surgery
was elective or emergency. Data on factors
that could delay onset of caesarean section were absence of electricity and
water supply, delay in providing cross-matched blood, and laboratory
investigation results necessary for surgery. Patient related factors were
refusal to sign informed consent on time, and delay in providing materials
needed for surgery, Theatre related factors were unavailability of theatre
space, presence of competent anesthetist or surgeon
at the time of surgery, and the type of anesthesia
administered (general or spinal). Fetal information was: birth asphyxia based on 5
minutes APGAR score, admission to neonatal unit, and perinatal mortality from
birth asphyxia. Results: Out of 184 babies delivered in this study, 32 had birth asphyxia,
giving a rate of 17.4%. The perinatal
mortality rate from birth asphyxia was 54.3/1000 births, and prolonged obstructed labour was responsible for 50% of the
mortalities. Obstetrics factors that significantly increase the rate of birth
asphyxia were: unbooked patient odds ratio =
1.79[0.98, 3.26] p = 0, 05, and women referred by traditional birth
attendants, odds ratio = 2.67[1.11, 6.43] p = 0. 02 Hospital logistic factors that significantly
increase the rate of birth asphyxia by delaying the onset of emergency
caesarean section were: poor electricity supply, odds ratio = 2.48[0.97,
6.32], p = 0.05, lack of sterile surgical packs, odds ratio = 4.59[0.75,
27.99] and delay in obtaining laboratory results, odds ratio = 3.06[0.48,
11.13]. Others were delay in giving consent for surgery, odds ratio =
2.47[0.77, 7.97], and the use of general anesthesia,
odds ratio = 2.85[0.65, 12. 56]. On multiple logistic regression, the most
significant predictor variables for birth asphyxia were booking status r2 (%) = 6.6, p = 0.00, source of referral
for caesarean section, r2 (%) = 4.8, p = 0.03, and educational level r2 (%) = 2.4, p = 0.03. Conclusion: During emergency caesarean section, obstetrics factors are undoubtedly
central to the pathogenesis of birth asphyxia. However, this study has
brought to limelight the significant role played by hospital logistic factors
that delay the onset of surgery. Eradicating these factors in our hospital
settings could save the lives of our babies. |
|
|
|
INTRODUCTION
During pregnancy and child birth, complications that
necessitate emergency caesarean section are quite common. Some of the most
frequent in West Africa are: cephalopelvic
disproportion (CPD), severe preeclampsia and eclampsia,
prolonged obstructed labour, fatal distress, abnormal
lie and footling breech. Others are severe antepartum hemorrhage, and less
frequently, intrapartum hemorrhage. [1, 2]
Some of these
complications, especially the hypertensive disorders, exhibit inherent ability
to cause fetal distress via compromise in utero-placental blood flow. [3] However,
experience from obstetrics units in West Africa indicates that many cases of
emergency caesarean are unduly delayed, and this could worsen the existing
complications, which could lead to fetal distress.
A very common source
of delay in Nigeria is late referral to hospital, especially by traditional
birth attendants [4], and health centers, when serious complications have set
in. [4, 5] An
audit of childbirth emergency referrals by trained TBAs in Enugu, Southeast Nigeria
revealed a delay of over 12 hours in 75% of cases, before referral to hospital.
[5]
Within the hospital setting, delay in
instituting appropriate and timely emergency obstetrics care is referred to as
third party delay. [6, 7] In West
Africa, this is quite common, and sources of delay identified in Nigeria include: hospital logistic
problems like poor electricity and water supply. Common laboratory sources are
delay in obtaining results mandatory for surgery, and delay in providing cross
matched blood. [8, 9] Some patients significantly delay their surgeries by refusing
to sign informed consent on time.
Studies in Ibadan and Port Harcourt reported
hospital logistic problems as the cause of delay in carrying out emergency caesarean section in 43.6 %, and 18.8% of the cases respectively[8, 9] There is overwhelming evidence that undue delay correlates positively
with low APGAR score, fetal distress and poor fetal outcome. [10, 11] A fetus
that is in distress during labour usually manifests at
delivery as birth asphyxia.
Birth asphyxia is
defined as the inability of the newborn to initiate and sustain enough
respiration after delivery and is characterized by marked impairment of gas
exchange [12]. The diagnosis is usually made when the APGAR
score is < 7 at 5 minutes, and if the pH of the umbilical cord arterial blood is <7. [12, 13]
Based on APGAR
score, the severity of birth asphyxia is categorized as sever (0 - 3), moderate
(4 - 6), and normal (7- 10). [14] Birth or perinatal asphyxia is not common in
developed countries because of advances in emergency obstetrics services. [15]
However, in poor resource settings, the prevalence is quite high. In Port
Harcourt, Nigeria, it was 29.4%, [16] and 18% in Ethiopia. [17] However a much
lower rate of 5.3% was reported in Uganda. [18]
The danger of
perinatal asphyxia relies on its potential to cause severe hypoxia, with neurological
impairment, multisystem organ dysfunction, and perinatal mortality. [12, 13] Hospital
based studies in northern Nigeria reported high mortality rates from birth
asphyxia; 14.7% in Nasarawa, [19] and 25.5% in Gusua. [20] Impairment of neurological function as a
complication, manifested as seizure disorder in 11.9% in Benin City, in Nigeria. [21]
Though birth or
perinatal asphyxia has been widely studied globally, including our environment,
most studies focus attention only on the effect of obstetrics factors on
perinatal outcome. There has been no study on the effects of hospital logistic factors,
hence the need for this study.
AIM AND OBJECTIVES
This
study intends to determine the effects of obstetric factors on birth asphyxia
following emergency caesarean section.
It would also determine the extent to which
delay in carrying out caesarean section impacts on birth asphyxia, with respect
to hospital, laboratory and patient related logistic factors. Finally, it would
determine the socio-demographic characteristics of the subjects, and fetal
outcome.
METHODOLOGY
Study
Site
This study was carried out at the labour ward, labour ward theatre,
and antenatal ward, department of obstetrics and gynaecology,
Niger Delta University Teaching Hospital (NDUTH). Being a teaching hospital, it
serves as a referral centre for the entire Bayelsa State, and some parts of the neighboring states,
such as Delta, Abia and Rivers State.
Study Design
This was a cross-sectional study of 184 women
delivered by emergency caesarean section. It was carried out from January 2022 to
January 2024.
Inclusion Criteria
Included
in this study were both booked and unbooked parturients who developed complications during pregnancy,
and were delivered by emergency caesarean section.
Exclusion Criteria
Excluded from this study were pregnant women who
had spontaneous vaginal delivery, and instrumental vaginal delivery. Also
excluded were pregnant women who developed antenatal complications and were
delivered by elective caesarean section, and women diagnosed with intrauterine
fetal death.
Sample
Size
This encompasses all pregnant women delivered
by emergency caesarean section in NDUTH during the study period, who fulfilled
the inclusion criteria; a total of 184
was obtained.
Data
Collection
Data was collected in the labour
ward, labour ward theatre, and antenatal ward.
Information relevant to this study obtained include: patients bio-data, and
obstetrics factors such as booking status, duration of labour,
the indication for caesarean section, source of referral to NDUTH, and whether surgery
was elective or emergency.
Due to the fact that delay in timely conduct
of emergency caesarean section could adversely affect the new born via
asphyxia, data related to delaying factors within the hospital setting was
collected. Hospital related factors include: absence of electricity and water
supply, delay in providing cross-matched blood, and laboratory investigation
results necessary for surgery.
Patient related factors that caused delay
were: refusal to sign informed consent on time, and delay in providing
materials needed for surgery, either due to lack of fund or patient unaccompanied
by relatives.
Theatre related delaying factors were unavailability
of theatre space, presence of competent anesthetist or surgeon at the time of
surgery, and the type of anesthesia administered (general or spinal).
Assessment of Delay in Caring out Emergency Caeserean
Section
Though the internationally
accepted decision-to-delivery interval (DDI) for emergency caesarean section is
30 minutes, it’s extremely difficult to achieve this target in Nigeria because
of the complex logistic problems. A study on DDI in Nigeria reported a mean
interval of 119.2 ± 95.0 minutes
in Ibadan, [8] and 60 – 120 minutes in Port Harcourt. [9] There is no
policy or guideline on DDI in NDUTH. However, for the purpose of this study, we
assumed DDI above 90 minutes as delayed. This is a retrospective study, and we
relied on the information documented in the case notes of the patients, for
data collection.
APGAR Score
APGAR score was assessed in theatre by the
neonatologist immediately after delivery of the baby. It was assessed at 1 minute,
and at 5 minutes. In this study, the score at 5 minutes was used, as it’s the
bases for diagnosis of birth asphyxia, in line with international best practice.
[12] In line with international practice, we
categorized APGAR score of 7 – 10 as normal, 4 – 6 as moderate, and 0 – 3 as
severe birth asphyxia. We used the total number of babies diagnosed with
moderate and severe birth asphyxia for this study.
Perinatal Mortality
In this study, perinatal
mortality was limited to only babies that died as a result of birth asphyxia,
and its complications. Fetal death at birth was diagnosed by the pediatricians
in theatre, when there was no sign of life after resuscitation for a period of 20
minutes. Also included in our records were babies, who were severely
asphyxiated and admitted, but died within the first week after birth.
Data
Analysis
Data was coded into SPSS statistical package version
25 spreadsheet, and Epi Info statistical software
version 7, and analyzed. Results were presented in tables as rates,
proportions, and mean with standard deviation. Test of significance was by odds
ratio, the degree of association was by Pearson’s correlation coefficient, and
predictor variables with simple and multiple linear regression. At 95%
confidence interval, the p value was set at ≤ 0.05.
Ethical
Approval
Permit to
proceed with this study was granted by the ethical committee of NDUTH, with
registration number NDUTH/REC/0032/2024.
RESULTS
Table
1: Birth Asphyxia, Admission for Neonatal Care, And Perinatal Mortality
|
Variable |
Frequency (N = 184) |
Percentage (N = 100) |
|
Birth asphyxia at 1 minute APGAR score |
|
|
|
No birth asphyxia (APGAR score of 7- 8) |
122 |
66.5% |
|
Moderate birth asphyxia (APGAR score of 4 - 6) |
41 |
22.3% |
|
Severe birth asphyxia (APGAR score of 0 - 3) |
21 |
11.4% |
|
Birth asphyxia at 5 minute APGAR score |
|
|
|
No birth asphyxia (APGAR score of 7- 8) |
152 |
82.8% |
|
Moderate birth asphyxia (APGAR score of 4 - 6) |
20 |
10.9% |
|
Severe birth asphyxia (APGAR score of 0 - 3) |
12 |
6.5% |
|
Admission for neonatal care |
|
|
|
Babies
not admitted |
141 |
76.6% |
|
Total
number of babies admitted |
43 |
23.4% |
|
Number
of babies admitted for birth asphyxia |
21 |
11.4% |
|
Perinatal mortality |
|
|
|
Baby alive |
174 |
94.6% |
|
Baby dead |
10 |
5.4% |
The mean APGAR score at 1
minute was 6.22 ± 2.57, and at 5 minutes, it was 7.69 ± 2.63. Out of a total of
184 women delivered by emergency caesarean section in this study, 62 babies (33.
6%) were diagnosed with birth asphyxia (moderate and severe asphyxia) based on
1 minute APGAR score. However, with resuscitation at 5 minutes, the rate
reduced to 32 (17.4%). The neonatal admission rate for birth asphyxia was 11.4%.
Ten (10) babies
died within 7 days, giving the perinatal mortality rate (from birth asphyxia)
of 5.5%, or 54.3/1000 births.
Table
2: Socio-Demographic Characteristics of the Women, Birth
Asphyxia and Perinatal Mortality
|
Variable |
Total No. of subjects N = 184 |
Percentage N = 100% |
Birth Asphyxia (moderate and
severe) N = 32 |
Percentage N = 17.4% |
Perinatal mortality N = 10 |
Percentage N = 5.4% |
|
Maternal age |
|
|
|
|
|
|
|
≤19
years |
10 |
5.4% |
3 |
1.6% |
0 |
0.0% |
|
20
– 24 years |
20 |
10.9% |
5 |
2.7% |
1 |
0.5% |
|
25
– 29 years |
42 |
22.8% |
11 |
6.0% |
3 |
1.6% |
|
30
– 34 years |
70 |
38.0% |
7 |
3.8% |
6 |
3.2% |
|
35
– 39 years |
34 |
18.5% |
5 |
2.7% |
0 |
0.0% |
|
≥
40 years |
8 |
4.4% |
1 |
0.5% |
0 |
0.0% |
|
Parity |
|
|
|
|
|
|
|
Nulliparous
(para 0) |
67 |
36.4% |
9 |
4.9% |
3 |
1.6% |
|
Multi
parous (para 1- 4) |
91 |
49.5% |
18 |
9.8% |
5 |
2.7% |
|
Grand
multiparous (≥ para 5) |
26 |
14.1% |
5 |
2.7% |
2 |
1.1% |
|
Marital Status% |
|
|
|
|
|
|
|
Married |
173 |
94.0% |
28 |
15.2% |
10 |
5.4% |
|
Single
|
11 |
6.0% |
4 |
2.2% |
0 |
0.0% |
|
Ethnicity |
|
|
|
|
|
|
|
Ijaws |
101 |
54.9% |
22 |
12.0% |
4 |
2.3% |
|
Igbo |
46 |
25.0% |
1 |
0.5% |
3 |
1.6% |
|
Others |
37 |
20.1% |
9 |
4.9% |
3 |
1.6% |
|
Educational level |
|
|
|
|
|
|
|
Non
formal |
3 |
1.6% |
0 |
0.0% |
0 |
0.0% |
|
Primary
Education |
31 |
16.8% |
9 |
4.9% |
2 |
1.1% |
|
Secondary
Education |
84 |
45.5% |
17 |
9.2% |
7 |
3.8% |
|
Tertiary
Education |
66 |
35.9 |
6 |
3.3% |
1 |
0.5% |
|
Patient Employment status |
|
|
|
|
|
|
|
Unemployed
|
31 |
27.7% |
10 |
5.4% |
3 |
1.6% |
|
Self
employed |
97 |
52.7% |
19 |
10.3% |
6 |
3.2% |
|
Civil
servant |
21 |
11.4% |
2 |
1.1% |
0 |
0.0% |
|
Company
staff |
15 |
18.2% |
1 |
0.5% |
1 |
0.5% |
The mean maternal age was 30.3 ± 5.7 years, the
median parity was para 1, and most (45.5%) attained secondary level of
education. Majority of the women 173(94.0%) were married, and predominantly from Ijaw tribe in the Niger Delta region in Nigeria.
Table
3: Obstetrics and Hospital Logistic Factors, and Birth Asphyxia
|
Variable |
Total No. of subjects N = 184 |
Moderate to Severe
birth asphyxia N = 32 |
Odds ratio |
P value |
Perinatal mortality N = 10 |
Odds ratio |
P value |
|
Booking Status |
|
|
|
|
|
|
|
|
Booked |
88(47.8%) |
5(2.7%) |
|
|
4(2.3%) |
|
|
|
Unbooked |
96(52.2%) |
27(14.7%) |
1.79[0.98,3.26] |
0.05 |
6(3.3%) |
1.38[0.35,5.03] |
0.62 |
|
Source of referral |
|
|
|
|
|
|
|
|
None |
80(43.3%) |
2(2.2%) |
|
|
2(1.1%) |
|
|
|
Self referral |
40(21.7%) |
12(6.5%) |
1.80
[0.86,3.78] |
0.11 |
4(2.3%) |
|
|
|
Health
centre |
35(19.0%)
|
7(3.8%) |
|
|
3(1.6%) |
|
|
|
Traditional
birth attendant |
18(9.8%) |
5(2.7%) |
2.67
[1.11,6.43] |
0.02 |
1(0.5%) |
2.22[0.19,25.8] |
0.51 |
|
Private
clinic |
11(6.0%) |
4(2.2%) |
|
|
0(0.0%) |
|
|
|
Duration of labour |
|
|
|
|
|
|
|
|
≤
24 hours |
140(76.1%) |
49(26.6%) |
|
|
9(4.9) |
|
|
|
>24
hours |
44(23.9%) |
13(4.0%) |
0.84
[0.42,1.70] |
0.63 |
1(0.5%) |
0.35[0.04,2.87] |
0.31 |
|
Indication for
caesarean section |
|
|
|
|
|
|
|
|
Cephalopelvic disproportion |
49(26.6%) |
5(6.5%) |
|
|
3(1.6%) |
|
|
|
Severe
preeclampsia and eclampsia |
32(16.8%) |
7(5.9%) |
|
|
|
|
|
|
Fetal
distress |
24(13.0%) |
5(2.7)
% |
|
|
2(1.1%) |
|
|
|
Prolonged
obstructed labour |
21(11.4%) |
10(5.4%) |
|
|
5(2.7%) |
|
|
|
Abnormal
lie and presentation |
18(7.8%) |
3(1.6%) |
|
|
0(0.0%) |
|
|
|
Previous
caesarean section |
16(8.7%) |
0(0.0%) |
|
|
0(0.0%) |
|
|
|
Antepartum
hemorrhage |
8(4.5%) |
1(0.5%) |
|
|
0(0.0%) |
|
|
|
Failed
induction of labour |
4(2.2%) |
0(0.0%) |
|
|
0(0.0%) |
|
|
|
Others
indications |
12(6.5%) |
1(0.5%) |
|
|
0(0.0%) |
|
|
|
Delay from hospital
factors |
|
|
|
|
|
|
|
|
No
hospital logistic problem |
101(54.9%) |
11(6.0%) |
|
|
6(3.3%) |
|
|
|
Poor
electricity supply |
37(20.1 |
10(5.4%) |
2.48
[0.97,6.32] |
0.05 |
1(0.5%) |
0.42[0.05,3.61] |
0.41 |
|
Delay
in providing cross-matched blood |
14(7.6%) |
2(1.1%) |
1.31
[0.26,6.54] |
0.74 |
1(0.5%) |
|
|
|
No
sterile pack |
4(2.2%) |
2(1.1%) |
4.59
[0.75,27.99] |
0.07 |
1(0.5%) |
|
|
|
No
water supply |
8(4.3%) |
0(0.0%) |
|
|
0(0.0%) |
|
|
|
Delayed
by laboratory results |
12(6.5%) |
4(2.2)% |
3.06
[0.48,11.13] |
0.07 |
1(0.5%) |
|
|
|
Multiple
factors |
8(4.3%) |
3(1.6%) |
|
|
0(0.0%) |
|
|
|
Delay from Patients
factors |
|
|
|
|
|
|
|
|
No
patient delay factor identified |
95(51.6%) |
16(8.7%) |
|
|
4(2.2%) |
|
|
|
Lack
of fund to provide surgical materials |
32(17.4%) |
5(2.7%) |
0.39
[0.31.2.74] |
0.89 |
4(2.2%) |
|
|
|
Patient’s
relative not around to provide items needed for surgery |
27(14.7%) |
4(2.2%) |
0.88
[0.27,2.85] |
0.83 |
2(1.1%) |
|
|
|
Delay
in giving consent |
12(6.5%) |
5(0.5%) |
2.47
[0.77,7.97] |
0.11 |
0(0.0%) |
|
|
|
Multiple
factors |
16(8.6%) |
2(1.1%) |
|
|
0(0.0%) |
|
|
|
Delay from theatre factors |
|
|
|
|
|
|
|
|
No
delay factor |
101(54.9% |
21(11.4%) |
|
|
6(3.3%) |
|
|
|
Busy
theatre space |
40(21.7%) |
6(3.3%) |
0.72
[0.27,1.92] |
0.51 |
2(1.1%) |
|
|
|
Anesthetist
did not arrive on time |
18(9.8%) |
2(1.1%) |
|
|
1(0.5%) |
|
|
|
Competent
surgeon did not arrive on time |
8(4.3%) |
0(0.0%) |
|
|
0(0.0%) |
|
|
|
Theatre
nurses did not arrive on time |
3(1.6%) |
0(0.0%) |
|
|
0(0.0%) |
|
|
|
Theatre
porter did not bring patient on time |
12(6.4%) |
3(1.6)
% |
|
|
0(0.0%) |
|
|
|
Pediatricians did not arrive on time |
2(1.1%) |
0(0.0%) |
|
|
0(0.0%) |
|
|
|
Type of anesthesia |
|
|
|
|
|
|
|
|
General
anesthesia |
21(11.4%) |
2(1.1%) |
2.85
[0.65,12.56] |
0.14 |
3(1.6%) |
0.30
[0.01,1.25] |
0.08 |
|
Spinal
anesthesia |
163(88.6%) |
30(16.3%) |
|
|
7(3.8%} |
|
|
The mean duration of labour
was 19.3 ± 17.4 hours
The rate of birth
asphyxia was significantly higher in women who did not receive antenatal care (unbooked patients) odds ratio = 1.79[0.98, 3.26] p = 0, 05, and women referred in labour by TBA, odds
ratio = 2.67[1.11,
6.43] p = 0. 02.
Though CPD was the commonest indication for emergency caesarean section in NDUTH 49(26.6%), prolonged obstructed labour was the commonest cause of
fetal distress, accounting for 10(5.4%) of the cases, and it was responsible for half (5out of the 10) of the
perinatal mortalities..
With respect to factors that caused delay in
timely surgical intervention following decision to carry out caesarean section
in NDUTH, hospital logistic factors predominates. Poor electricity supply
significantly increased the rate of birth asphyxia, odds ratio = 2.48[0.97,
6.32], p = 0.05.
The chances of fetal distress was increase by
4 fold by unavailability of surgical instrument packs, odds ratio = 4.59[0.75,
27.99], and 3 fold by delay in obtaining necessary laboratory results, odds
ratio = 3.06[0.48, 11.13].
Delay from theatre and patient related
factors had little influence on the rate of birth asphyxia in NDUTH, as most of
the indices were not significant. However, delay in giving consent increases
the chances by 2 folds, odds ratio = 2.47[0.77, 7.97], so also is the use of
general anesthesia, odds ratio = 2.85[0.65, 12. 56].
Table 4: Pearson’s
Correlation Coefficient between the Factors Variables, Birth Asphyxia and
Perinatal Mortality
|
Variable |
Correlation with
birth asphyxia |
P value |
Correlation with
fetal demise |
P value |
|
Maternal
age |
0.057 |
0.44 |
-0.007 |
0.93 |
|
Parity
|
-0.077 |
0.30 |
0.040 |
0.59 |
|
Educational
level |
0.156 |
0.03 |
-0.082 |
0.27 |
|
Occupation
|
0.138 |
0.06 |
-0.028 |
0.70 |
|
Marital
status |
-0.049 |
0.51 |
-0.060 |
0.43 |
|
Booking
status |
-0.256 |
0.00 |
0.038 |
0.61 |
|
Source
of referral |
-0.219 |
0.003 |
0.033 |
0.66 |
|
Duration
of labour |
-0.096 |
0.58 |
0.056 |
0.52 |
|
Indication
for caesarean section |
-0.104 |
0.16 |
0.132 |
0.07 |
|
Delay
from hospital logistic factors |
0.097 |
0.18 |
0.058 |
0.44 |
|
Delay
from patients factors |
0.063
|
0.39 |
0.020 |
0.78 |
|
Delay
from theatre factors |
0.049 |
0.51 |
0.019 |
0.23 |
The
most significant correlates for birth asphyxia were booking status (- 0.256), source
of referral (0.219), and educational level (0.155). For fetal demise, the most important
correlate was indication for caesarean section (0.132), however it was not
significant.
Table 5: Simple
Linear Regression of the Predictor Variables for Birth Asphyxia
|
Predictor variable |
r2 (%) |
F - ratio |
P value |
|
Maternal
age |
0.3 |
0.597 |
0.44 |
|
Parity
|
0.6 |
1.075 |
0.30 |
|
Educational
level |
2.4 |
4.554 |
0.03 |
|
Occupation
|
1.9 |
3.514 |
0.06 |
|
Marital
status |
0.2 |
0.433 |
0.51 |
|
Booking
status |
6.6 |
12.789 |
0.00 |
|
Source
of referral |
4.8 |
9.203 |
0.03 |
|
Duration
of labour |
0.2 |
0.299 |
0.58 |
|
Indication
for caesarean section |
1.1 |
1.981 |
0.16 |
|
Delay
from hospital logistic factors |
0.9 |
1.174 |
0.18 |
|
Delay
from patients factors |
0.4 |
0.727 |
0.39 |
|
Delay
from theatre factors |
0.2 |
0.440 |
0.50 |
The
most significant predictors for birth asphyxia in NDUTH are patient’s booking status r2 (%) = 6.6, p = 0.00. Followed by the source
of referral for caesarean section, r2 (%) = 4.8, p = 0.03, and the educational level r2 (%) = 2.4, p = 0.03.
Table 6: Multiple
(Stepwise) Linear Regression of the Predictor Variables for Birth Asphyxia
|
Predictor variable |
Step 1 |
Step 2 |
Step 3 |
Step 4 |
Step 5 |
|
Booking
status |
0.256 |
0.256 |
0.256 |
0.256 |
0.256 |
|
Source
of referral |
|
0.219 |
0.219 |
0.219 |
0.219 |
|
Educational
level |
|
|
0.156 |
0.156 |
0.156 |
|
occupation |
|
|
|
0.138 |
0.138 |
|
Indication
for caesarean section |
|
|
|
|
0.104 |
|
Constant
|
|
|
|
|
|
|
r2
(%) |
6.6 |
8.0 |
9.2 |
9.8 |
11.4 |
|
F |
12.789 |
7.828 |
6.048 |
4.648 |
4.503 |
|
P
value |
0.00 |
0.001 |
0.001 |
0.001 |
0.001 |
With
all the significant predictor variables combined, the r2 (%) = 11.4%. This implies that my
regression model could only explain 11.4% of the emergency caesarean sections
that were complicated with moderate to severe birth asphyxia.
DISCUSSION
Birth
asphyxia following delivery is very common in West Africa, especially in
Nigeria, largely due to poorly developed health infrastructures, and emergency
obstetrics services. [16, 17] This is further compounded by poor implementation
of health policies, tribalism and lack of political will. It’s common practice for
health faculties to be located in odd areas, such as home towns and villages of
politicians, with very poor utilization.
Nigeria being a poor resource setting lacks
the competence and ability to build health facilities to cover the entire
country, especially in our rural areas. As a result, patients often go through
long distances to access competent health services such as emergency obstetrics
care, like caesarean section. This, coupled with poor transport facilities, and
poverty contributes immensely to delay in hospital arrival, and intervention. It’s
not therefore surprising that the rate of birth asphyxia is bound to be high in
our environment.
The high rate of birth asphyxia we got from
our study (17.4%) is not acceptable by western standards, where the rate is as
low as 2 per 1000 births, largely due to advancement in obstetrics services. [15]
However, our rate is comparable to what was reported in some centers in the
developing world; 18% in Ethiopia, [17] 16.6 % at
Federal Medical Centre, Yenagoa, [22] and 29 % in
Port Harcourt, Nigeria. [16]
A very formidable danger of birth asphyxia is
its potential to cause high rates of perinatal mortality, and disability among
the survivors. Nigeria has one of the highest perinatal mortality rates secondary
to birth asphyxia globally; 31.1% at Irrua, Edo State, [23] 32.1% in Port Harcourt, [24] 42.1% in Osogbo, [25] and 25.5% in Gusua. [20]. These were however much higher than the 5.4%
we obtained in NDUTH, probably due to that fact that most of the studies above focused
on severe birth asphyxia. Secondly, our study was limited to only emergency
caesarean section.
In my opinion, the neonatal mortality rates
in Nigeria are grossly under reported. This is because many neonatal deaths
occur in our rural areas, where facilities for proper record keeping are not
available. There are very few well equipped neonatal centers in Nigeria, with the
right complement of manpower. Most states in Nigeria have only one or two
neonatal units, which are located in the tertiary institutions in the states
capitals.
Unbooked status (lack of
antenatal care), a significant obstetric factor for birth asphyxia, as we observed
in our study seems to be a global phenomenon; similar results were reported at Irrua Specialist Hospital in Nigeria, [23] Benishangul-Gumuz
Region Hospital in Ethiopia, [26] and
Karachi
in Pakistan. [27] This is because unbooked patients
who developed obstetrics complications during labour
are less likely to be diagnosed on time, and medical intervention is likely to
be delayed, from late arrival in hospital.
In Nigeria, our pregnant women have a high
affinity to deliver outside the hospital setting, especially with traditional
birth attendants. A previous study has reported that in rural parts of Africa, 60% to 90% of pregnant women deliver with TBA. [28] This practice is mostly driven by
illiteracy, poverty, and lack of skilled health services within the locality. TBAs
are largely unskilled, and they are not in a position to diagnose and manage
obstetrics complications. As a result, the maternal and fetal mortality and morbidity
is very high among women who deliver with a TBA. [29, 30] Our study has also
proven that they refer patients to hospital late, and this has resulted in
significant increase in the rate of birth asphyxia.
When pregnant women in labour
have been diagnosed with an obstetrics complication, and the decision to
deliver by emergency caesarean section has been taken, surgery should be prompt
and timely. Undue delay worsens the complications, and increases the rate of
mortality and morbidity. [31, 32] Within
the hospital setting in Nigeria, logistic problem are quite frequently, and this
often rubs the surgeon’s desire for timely intervention; by slowing down the
process. Previous studies have identified these as hospital, laboratory and
patient related logistic factors. [33, 34]
The impact of hospital logistic problem as a
delaying factor for emergency caesarean section has been reported in some
centers in Nigeria. Studies in Ibadan, and Port Harcourt reported hospital logistic problems as the cause of delay in 43.6 %, and 18.8% respectively. [35, 36] Our study has
proven beyond reasonable doubt that undue delay from some of these factors
significantly increases the rate of birth asphyxia.
Among the logistic factor in our environment,
interrupted power supply seems to predominate; it frequently disrupts operative
activities in our hospital. This is very worrisome in emergency caesarean
section, because it puts both fetal and maternal lives at risk. Electricity
supply is paramount to the functioning of surgical equipment, water supply,
instrument sterilization among others. There are instances where absence of
electricity delays onset of surgery for several hours, especially when the
hospital back-up power supply is faulty.
A study at Ogbomoso in Nigeria reported power outrage as the main
reason why 28% of the emergency caesarean sections did not start early. [33] Our
study has further buttressed this
finding by proving that delay from interrupted power supply causes significant
fetal morbidity, by increasing the chances of birth asphyxia by 2 folds, odds ratio =
2.48[0.97, 6.32].
In Nigeria, aversion to caesarean section
is very common, and a rate of 20.9% was reported in a previous study. [37] Its
a common practice for pregnant women to delay or even refuse surgery at the expense
of their lives, and that of their babies. Also, our socio- cultural practices often
aggravates the situation; our women often rely on their husbands, and even
their pastors to take major decision concerning their health.
A study at Ibadan in Nigeria on women
undergoing caesarean section, it was reported that the husband is the sole
decision makers on health issues in 58.7% of the patients. [38] Another study in Nigeria revealed that
62.9% of the consents were given by the husband, 31.5% by the relatives, and
only 5.6% by the patient. [39] This ultimately results in undue delay in
obtaining consent for the emergency caesarean section; sometimes the husbands,
or relatives takes several hours to arrive after decision has been taken. A study in Zaria,
Nigeria observed that 66.0% of the informed consents for obstetric emergencies
were delayed, with a mean time of 4.5 + 3.5 hour.
Undue delay in obtaining
informed consent for emergency caesarean section has been
proven to increases the risk of fetal and maternal
complications, such as fetal distress and birth
asphyxia. [40] This fact has been vindicated from our study; delay in giving consent
increased the rate of birth asphyxia by 2 folds, odds ratio = 2.47[0.77, 7.97].
As it has been stated earlier, birth
asphyxia has been widely studied globally, and there are many publications on
this subject matter, however, it’s associated, and risk factors were based
mainly on obstetrics factors. In West African, where hospital logistic problems
are ubiquitous, there is dearth of publications on the impact of these factors
on perinatal asphyxia.
We
have been able to establish a significant link in NDUTH, we hereby advocate
that similar studies should be carried out in other centres in West Africa, to
validate our findings. This would on the long run serve as a fulcrum to expand
the scope of preventing this highly fatal disease condition.
CONCLUSION
During emergency
caesarean section, obstetrics factors are undoubtedly central to the
pathogenesis of birth asphyxia. However, this study has brought to limelight
the significant role played by hospital logistic factors that delays onset of
surgery. Eradicating these factors in our hospital settings could save the
lives of our babies.
Conflict of Interest: The authors
have declared there was no conflict of interest.
Acknowledgement: The authors wishes to
acknowledge the Head of Department of Obstetrics and Gynaecology
NDUTH.
REFERENCES
1.
Aruaye Afeye Obada, Lawal Umar Maradun, Aondover Eric Msughter, Nura Garba2 and Abubakar Aliyu Abba. Complications among Pregnant Women during Child
Labor in Kabo Local Government Area of Kano State,
Nigeria. International
Journal of Health, Safety and
Environment (IJHSE). 2021; 7(4): 838
– 45
2.
Musarandega
R, Nyakura M, Machekano R,
Pattison R, Munjanja SP.
Causes of maternal mortality in Sub-Saharan Africa: A systematic review of
studies published from 2015 to 2020. J
Glob Health. 2021; 11: 04048
3.
Chang K. J, Seow K. M, Chen K. H.
Preeclampsia: Recent Advances in Predicting, Preventing, and Managing the
Maternal and Fetal Life-Threatening Condition. Int J
Environ Res Public Health. 2023; 20(4):2994. doi:
10.3390/ijerph20042994
4.
Okonofua] Okonofua
F, Ogu R. Traditional versus birth attendants in
provision of maternity care: call for paradigm shift. Afr J Reprod Health. 2014; 18(1):11–2
5.
Okafor I. I,
Arinze-Onyia S. U, Ohayi S,
Onyekpa J. I, Ugwu E. O.
Audit of Childbirth Emergency Referrals by Trained Traditional Birth Attendants
in Enugu, Southeast, Nigeria. Ann Med
Health Sci Res. 2015; 5(4): 305-10. doi: 10.4103/2141-9248.160180.
PMID: 26229721; PMCID: PMC4512125.
6.
Berihun A, Abebo T. A, Aseffa B. M, Simachew Y, Jisso M, Shiferaw Y. Third delay and associated factors among women
who gave birth at public health facilities of Gurage
zone, southern Ethiopia. BMC Womens Health. 2023; 23(1); 369. doi: 10.1186/s12905-023-02526-6.
7.
Goodman, D. M., Srofenyoh, E. K., Olufolabi, A. J. et al. The third delay:
understanding waiting time for obstetric referrals at a large regional hospital
in Ghana. BMC Pregnancy Childbirth. 2017; 17, 216; 2017. doi.org/10.1186/s12884-017-1407-4
8.
Folasade
A. Bello, Taiwo
A. Tsele, Timothy
O. Oluwasola.
Decision-to-delivery intervals and perinatal outcomes following emergency
cesarean delivery in a Nigerian tertiary hospital. International journal of
Obstetrics and Gynaecology. 2015; 130 (3): 279 – 83. https://doi.org/10.1016/j.ijgo.2015.03.036
9.
Eli S, Kalio G. B,
Dan-Jumbo A, Ikimalo J. Decision-Delivery Interval
for Emergency Caesarean Section at the Rivers State University Teaching
Hospital. Journal of Advances in Medicine and Medical Research. 2020; 32(16): DOI:
10.9734/JAMMR/2020/v32i1630618
10.
Monjurul Hoque,
"Incidence of Obstetric and Foetal Complications
during Labor and Delivery at a Community Health Centre, Midwives Obstetric Unit
of Durban, South Africa", International Scholarly Research Notices.
2011; Article ID 259308, Doi.org/10.5402/2011/259308
11.
Huda FA, Ahmed A, Dasgupta SK, Jahan M, Ferdous J, Koblinsky M, Ronsmans C,
Chowdhury ME. Profile of maternal and foetal
complications during labour and delivery among women
giving birth in hospitals in Matlab and Chandpur, Bangladesh.
J Health Popul Nutr. 2012;
30(2): 131- 42. doi:
10.3329/jhpn.v30i2.11295.
12.
ACOG, Neonatal Encephalopathy and Neurologic Outcome, American
Academy of Pediatrics, Washington, DC, 2nd edition, 2014.
13.
Robert
Moshiro1, Paschal Mdoe2 and Jeffrey M. Perlman.. A
Global View of Neonatal Asphyxia and Resuscitation. Frontiers in Pediatrics.
2019; 7: 489 doi: 10.3389/fped.2019.00489
14.
World Health Organization (2010). ICD-10. Version: 2010.
http://apps.who.int/classifications/icd10/browse/2010/en#/F32
15.
Odd D, Heep A, Luyt K, Draycott T.
Hypoxic-ischemic brain injury: Planned delivery before intrapartum
events. J Neonatal
Perinatal Med. 2017; 10(4): 347-53.
16.
Onyearugha,
C.N. and Ugboma, H.A. Severe Birth Asphyxia: Risk Factors as Seen in
Tertiary Institution of Niger Delta Area of Nigeria. Continental Journal of Tropical Medicine, 2010; 4, 11-19.
17.
Gebrehiwot Teklehaimanot
Gebregziabher, Fikaden Berhe Hadgu, and Haftom Temesgen Abebe. Prevalence and Associated Factors of
Perinatal Asphyxia in Neonates Admitted to Ayder
Comprehensive Specialized Hospital, Northern Ethiopia: A Cross-Sectional Study.
International Journal of Pediatrics.
2020: https://doi.org/10.1155/2020/4367248
18.
Ayebare,
E., Hanson, C., Nankunda, J. et al. Factors
associated with birth asphyxia among term singleton births at two referral hospitals
in Northern Uganda: a cross sectional study. BMC Pregnancy Childbirth.
2022; 22, 767: https://doi.org/10.1186/s12884-022-05095-y
19.
Ogunkunle TO, et al. Postnatal Outcomes and Risk Factors for
In-Hospital Mortality among Asphyxiated Newborns in a Low-Resource Hospital
Setting: Experience from North-Central Nigeria. Annals of Global Health. 2020; 86(1): 63, 1–9. DOI: https://doi.org/10.5334/aogh.2884
20.
Ilah B. G, Aminu
M. S, Musa A, Adelakun M. B, Adeniji
A. O, Kolawole T. Prevalence and Risk
Factors for Perinatal Asphyxia as Seen at a Specialist Hospital in Gusau, Nigeria. Sub-Saharan
African Journal of Medicine. 2015; 2(2): 64 – 9.
21.
Alphonsus N onyiriuka. Birth
Asphyxia in a Mission Hospital in Benin City, Nigeria. Trop J Obstet Gynaecol.
2006; 23(1): 34 – 9
22.
Olakunle I. Makinde, Benjamin O. Awotundun,
Nkencho Osegi. Rate and determinants of low fifth minute Apgar score at the federal
medical centre Yenagoa, Bayelsa State, Nigeria Int J Reprod Contracept Obstet Gynecol. 2023; 12(7): 1960-
68
23.
Egharevba, O.
I., Kayode-Adedeji, B. O., and Alikah,
S. O. ‘Perinatal Asphyxia in a Rural Nigerian Hospital: Incidence and
Determinants of Early Outcome’. J Neonatal Perinatal Med. 2018; 1 1(2): 179-83. doi: 10.3233/NPM-1759
24.
Awoyesuku P. A, John D. H,
Josiah A. E, Sapira-Ordu L. Maternal, obstetric, and foetal risk factors for perinatal asphyxia: Prevalence and
outcome at a tertiary hospital in Port Harcourt,Nigeria.
Niger J Med 2022; 31: 285-92.
25.
Olusegun J. Adebami, Victor I.
Joel-Medewase, Gabriel A. Oyedeji. Clinico laboratory
determinants of outcome among babies with perinatal asphyxia in Osogbo, Southwestern Nigeria Int J Contemp Pediatr. 2016 ;3(2): 409 -15.
26.
Melkamu Senbeta Jimma , Kennean Mekonnen Abitew, Ermias Sisay Chanie , Fisha Alebel GebreEyesus
, Mengistu Mekonnen Kelkay. Heliyon. 2022; 8: e08875
27.
Hafiz
M. A, Shafaq S, Rafia A, Umair I, Sehrish M. S, Muhammad
W. S, Nazish S. Risk factors of birth asphyxia.
Italian Journal of Pediatrics. 2014; DOI 10.1186/s13052-014-0094-2
28.
Okonofua F, Ogu R.
Traditional versus birth attendants in provision of maternity care: call for
paradigm shift. Afr
J Reprod Health. 2014; 18(1): 11–2.
29.
Kassie, A., Wale, A., Girma, D. et al. The role of traditional
birth attendants and problem of integration with health facilities in remote
rural community of West Omo Zone 2021: exploratory
qualitative study. BMC Pregnancy Childbirth. 2022; 22: 425. https://doi.org/10.1186/s12884-022-04753-5
30.
Amutah-Onukagha N, Rodriguez M, Opara I, Gardner
M, Assan MA, Hammond R, Plata J, Pierre K, Farag E. Progresses and challenges of utilizing traditional
birth attendants in maternal and child health in Nigeria. Int J MCH AIDS. 2017; 6(2): 130 - 8. doi: 10.21106/ijma.204.
31.
Cavazos-Rehg P/ A, Krauss M. J, Spitznagel E. L, Bommarito K,
Madden T, Olsen MA, Subramaniam H, Peipert JF, Bierut LJ. Maternal
age and risk of labor and delivery complications. Matern Child Health J. 2015; 19(6): 1202-11. doi: 10.1007/s10995-014-1624-7.
32.
Huda F. A, Ahmed A, Dasgupta S. K, Jahan M, Ferdous J, Koblinsky M, Ronsmans C,
Chowdhury ME. Profile of maternal and foetal
complications during labour and delivery among women
giving birth in hospitals in Matlab and Chandpur, Bangladesh.
J Health Popul Nutr. 2012;
30(2): 131- 42. doi:
10.3329/jhpn.v30i2.11295.
33.
Owonikoko K. M, Olabinjo A. O, Bello-Ajao H. T, Adeniran M. A, Ajibola T. A (2018) Determinants of Decision to Delivery
Interval (DDI) in Emergency Caesarean Sections in Ladoke
Akintola University of Technology Teaching Hospital Ogbomoso, Nigeria.
Clinics Mother Child Health. 15: 2018; 294; doi:10.4172/2090-7214.1000294
34.
Emmanuel C. Inyang-Etoh, Saturday J. Etuk,
Eric I. Archibong. Decision-delivery
interval for emergency caesarean section and perinatal outcome in the
University of CalabarTeaching Hospital Calabar, Nigeria. Trop J Obstet Gynaecol. 2010; 27 (2): 63-
8.
35.
Eli1 S, Kalio G. B,
Dan-Jumbo A, Ikimalo J. Decision-Delivery Interval
for Emergency Caesarean Section at the Rivers State University Teaching
Hospital. Journal of Advances in Medicine and Medical Research. 2020; 32(16): DOI:
10.9734/JAMMR/2020/v32i1630618
36.
Folasade
A. Bello, Taiwo
A. Tsele, Timothy
O. Oluwasola.
Decision-to-delivery intervals and perinatal outcomes following emergency
cesarean delivery in a Nigerian tertiary hospital. International journal of
Obstetrics and Gynaecology. 2015; 130 (3): 279 – 83. https://doi.org/10.1016/j.ijgo.2015.03.036
37.
Aboyeji P.
A, Adegboyega
A. F, Olayinka
R. B, Kikelomo T. A, Salamat Isiaka-Lawal. Evaluation of parturient perception and aversion
before and after primary surgery caesarean delivery in a low resource country. International Journal of Obstetrics and Gynaecology. 2016; 132: 77 – 81.
38.
Anih A. I,
Ogunbode O. O, Okedare A. O.
Decisional Conflict amongst Women Undergoing Caesarean Section in Health
Facilities in Ibadan, Nigeria. West Afr J Med. 2023; 40(3): 269-76.
39.
Bako B,
Umar N, Garba N, Khan N. Informed consent practices
and its implication for emergency obstetrics care in azare,
north-eastern Nigeria. Ann Med Health Sci Res. 2011; 1(2): 149-57.
40.
Kiruja J,
Osman F, Egal JA, Klingberg-Allvin
M, Litorp H. Association between delayed cesarean
section and severe maternal and adverse newborn outcomes in the Somaliland
context: a cohort study in a national referral hospital. Glob Health Action. 2023; 16(1): doi:
10.1080/16549716.2023.2207862.
|
Cite this Article: Ikobho,
EH; Atemie, G; Addah, A (2024). The Effects of Obstetrics and Hospital
Logistic Factors on Birth Asphyxia, in Babies Delivered by Emergency
Caeserean Section. Greener Journal of
Medical Sciences, 14(2): 77-88. |