Clinical Audit of Quality of Intrapartum Care in a State University Teaching Hospital, Enugu, Southeast, Nigeria
Journal of Women's Health Care

Journal of Women's Health Care
Open Access

ISSN: 2167-0420


Research Article - (2015) Volume 4, Issue 5

Clinical Audit of Quality of Intrapartum Care in a State University Teaching Hospital, Enugu, Southeast, Nigeria

Okafor Innocent Igwebueze*
Department of Obstetrics and Gynecology, Enugu State University Teaching Hospital, Parklane, Enugu state, Nigeria
*Corresponding Author: Okafor Innocent Igwebueze, Teaching Hospital, Enugu State University, Parklane, Enugu, Enugu State, Nigeria, Tel: +234-8034006918 Email:


Objectives: To assess the quality of intrapartum care in Enugu State University Teaching Hospital, Enugu. Methods: This retrospective clinical audit on intrapartum care quality indicators in the birth, newborn, intensive care unit and theatre registers was undertaken from January1, 2010 to December 31, 2014. Data was analyzed using excel 2007 software and has been presented using percentages. 
Results: A total of 5211 women delivered 5385 babies (including174 twins). Majority of the women were of ages between 20-35 years (3995/5211, 76.7%), parity 2-4 (3001/5211, 56.7%) and booked (3731/5211, 71.6%). Preterm delivery (<37 weeks) occurred in (781/5211, 15.0%). Vaginal and caesarean deliveries occurred in (3495/5211, 67.1%) and (1533/5211, 29.4%) respectively. The commonest indication for caesarean delivery was previous caesarean delivery. Instrumental vaginal delivery was performed in (8/5211, 0.2%). Third or fourth perineal tear occurred in (8/3495, 0.2%). There was postpartum hemorrhage (>1000 mls) in (45/5211, 0.9%) women. Eclampsia (40/5211, 0.8%) and obstetric intensive care unit admissions (30/5211, 0.6%) were documented. Fifteen maternal deaths (15/5211, 0.3%) occurred giving a maternal mortality ratio of 292/100000 live births. The commonest cause of maternal death was postpartum-eclampsia. Apgar score <7 at 5 minute occurred in (531/5385, 9.9%) while 319 babies (319/5385, 9.0%) were admitted to newborn intensive care unit. The stillbirth rate was (256/5385, 4.8%). The neonatal death and perinatal mortality rates for 2012 to 2014 were (25/3314, 0.8%) and (194/3314, 5.9%) respectively.
Conclusion: Regular audits of intrapartum care quality indicators are essential for early detections of areas of poor-quality that demand immediate improvements to avoid further feto-maternal harms.

Keywords: Audit, Quality; Intrapartum care; Enugu


Majority of the high feto-maternal morbidities and mortalities in sub- Saharan Africa occur around the intrapartum period. These morbidities and mortalities, although unpredictable, are treatable when diagnoses are made early and appropriate treatments are given as in developed countries of the world. The major causes of these high morbidity and mortality are severe preclampsia and eclampsia, uterine rupture, obstetric haemorrhage, prolonged/obstructed labour and unsafe abortion [1,2].

Quality antenatal care that is backed-up with quality intrapartum care can prevent most of these calamities. Institute of Medicine defined quality healthcare as care that is safe, effective, efficient, timely, equitable and patient-centered [3,4]. Quality antenatal care should have the above attributes. Quality antenatal care should foster friendly relationship between the couple (mother and father) and the health care provider that will encourage skilled attendance at birth and make the mother, and other family members prepared and ready for obstetric emergencies. It can identify pre-existing health conditions by checking weight and nutrition status, anemia, hypertension, syphilis, hepatitis and Human Immunodeficiency Virus (HIV) infections [5]. It can also detect early complications that may arise during pregnancy like pre-eclampsia and gestational diabetes. It should provide breast feeding and family planning counseling and prevent diseases like tetanus and malaria.

Quality intrapartum care also should provide active management of labor with partograph, and comprehensive emergency obstetric care services like parenteral antibiotics, uterotonic drugs, anticonvulsants, manual removal of retained placenta, operative deliveries and blood transfusion. Prompt referrals to adult and newborn intensive care units are also important components of a quality intrapartum care. Unfortunately, these services are not available in most rural communities of developing countries and even when they are available, the qualities of the services are very poor. The result is the unacceptable high maternal morbidity and mortality in developing countries like Nigeria.

Globally, 3,40,000 maternal deaths, 2.7 million stillbirths and 3.1 million neonatal deaths occur each year with almost all of them occurring in the developing countries. In sub-Saharan Africa, a woman’s lifetime risk of dying in childbirth can be as high as 1 in 16 while that of the developed countries is 1 in 2800. Majority of the deaths occur around the delivery period [6-8].

It is known that Nigeria constitutes 1.7% of the world population but contributes 10% of the global burden of maternal deaths. The maternal mortality ratio in Nigeria ranges from 2151 in Sokoto, 963 in Ibadan to 625 per100 000 live births in Enugu [9-12].

Many instruments have been developed to evaluate quality of care in different environments including obstetric services. These include evaluation of provider’s knowledge and attitudes in specific cases, evaluation of care based on medical charts (clinical audits) and direct observation of service providers during an episode of care [4,13,14] Clinical audits of medical records are often used to evaluate the quality of obstetric care. The validity and reliability of this method are, however, uncertain as medical records and registers are often incomplete or missing [15,16].

Measuring the quality of obstetric services enables us to identify areas that need immediate improvements through trainings and policy changes. Quality improvement demands we measure only what we can improve upon [17]. The parameters we measure should be simple, understandable and the relevant results must be timely available to front-line staff, health planners and administrators for them to quickly effect changes that will prevent further harm [18-21]. This is regularly done in some countries now as maternity dashboards [8-12]. Maternity dashboard enabled an otherwise unrecognized adverse trend in a perinatal outcome to be detected and the problem was addressed by a training intervention [22].

Assessment of quality of intrapartum care has not been carried in ESUTH, Enugu. The aim of the author is to fill this gap in knowledge and use the results as baseline quality indicator benchmarks to initiate and drive continuous quality improvement measures in the department that will enable us to detect on time areas of poor quality so as to prevent further harm.

Materials and Method


Enugu State University Teaching Hospital (ESUTH) Enugu is a state owned health institution that evolved from Nursing Home in 1930 for the colonial masters to a teaching hospital status in June 2006 [23]. It is located in the center of Enugu metropolis and most of the population are Christians and of the Igbo tribe. ESUTH provides antenatal care and comprehensive emergency obstetric services [24]. In 2009, the department of Obstetrics and Gynecology was accredited to train resident doctors for West African College of surgeon’s fellowship examinations. The department has two professors, a reader, 7 consultants, 3 senior registrars, 17 registers, house officers, and 45 staff nurse midwives. The obstetric unit has 42 beds with an average of 1250 deliveries annually. Pregnant women in labor, irrespective of their booking status, are admitted to the labor ward without restrictions. Some of the women had accessed traditional birth attendant care before presentation as emergencies. The department holds a monthly mortality audit during which adverse feto-maternal outcomes are critically evaluated by the doctors and senior nurses in the department. Unfortunately, measureable and achievable quality indicator targets that will drive and initiate policy changes and continuous quality improvement were not set at the mortality audit conferences.


A modified WHO adapted Zimbabwean maternity dashboard parameters and Sibanda, et al. intrapartum care quality indicators were used to audit the quality of intrapartum care in ESUTH (Appendix A) [25,26] The demographic profiles and intrapartum quality indicators available in the routinely collected data from the birth, newborn, intensive care unit and theatre registers from January1, 2010 to December 31, 2014 were extracted manually. The intrapartum quality indicators used in this study include the number of: women delivered, births >28 weeks, multiple births, and percentages of preterm delivery, caesarean section, instrumental delivery, episiotomy, third or fourth degree perineal tear, postpartum hemorrhage >1000 mls, preeclampsia and eclampsia, obstetric intensive care unit admission, women who died, neonates with 5 mins Apgar score <7, and neonates admitted to newborn intensive care unit. The rates of stillbirths (fresh and macerated), neonatal death, and perinatal mortality were assessed. Quality indicators like induction of labor, percentage of term neonates (>37 weeks) with an Apgar score < 7 at 5 minutes, and percentage of term neonates (>37 weeks) admitted to the special care baby unit that were not routinely documented in the relevant registers were excluded from the study. Two medical doctors, who were trained by the author, extracted manually the above parameters from the available large volumes of registers. The parameters were entered in excel 2007 software, analyzed and presented using percentages.

Ethical clearance

It was obtained from the ESUTH ethical committee on January 8, 2015 when the study was about to commence. The author funded the research and has no competing interests to declare.


Table 1 showed a total of 5211 women delivered in the facility within the study period. About 3995(76.7%) of them were of ages between 20- 35 years and para 2-4 3001 (56.7%). Majority of them 3731 (71.6%) attended antenatal care in ESUTH. Preterm delivery (<37 weeks) occurred in 3731 (15.0%) while term delivery (38-42 weeks) occurred in 3387 (65.0%) as shown in Figure 1. The major modes of deliveries were vaginal delivery 3495 (67.1%) and caesarean delivery 1534 (29.4%). Assisted vaginal delivery was rarely practiced. Exploratory laparotomy for ruptured uterus was performed in 89 (1.7%). Obstetric hemorrhage >1000 mls was occurred in 45/5211 of the women. The perineum was intact in 2972 (85.9%), episiotomy was performed in 477 (13.8%) while third or fourth perineal tear occurred in 8/3460 of the vaginal deliveries. The commonest indication for caesarean delivery was previous caesarean delivery.


Figure 1: Gestational age in weeks at the onset of delivery.

Age in years Number Percentage
<20 172 3.3
20-35 3995 76.7
>35 539 10.3
Not stated 505 9.7
Total 5211 100
1 1729 33.2
2-4 3001 57.6
5 & above 221 4.2
Not stated 260 5
Total 5211 100
Booking status
Antenatal care in ESUTH 3731 71.6
Antenatal care in other facilities 1201 23
Not stated 279 5.4
Total 5211 100
Gestational age at delivery  
<34 201 3.9
34-37 580 11.1
38-42 3387 65
>42 193 3.7
Not stated 850 16.3
Total 5211 100
Modes of delivery
Vaginal delivery 3495 67.1
Elective caesarean delivery 1135 21.8
Emergency caesarean delivery 398 7.6
Destructive operation 7 0.13
Vacuum extraction 0 0
Forceps delivery 1 0.02
Laparotomy for uterine rupture 89 1.7
Not stated 86 1.7
Total 5211 100
Estimated blood loss
<250 mls 2972 57
250--500 mls 645 12.4
500--1000 mls 145 2.8
> 1000 mls 45 0.9
Not stated 1404 26.9
Total 5211 100
Intact 2972 85.9
Episiotomy 477 13.8
3rd or 4 thperineal tear 8 0.2
Not stated 3 0

Table 1: Distributions of Socio-demographic profiles, Gestational age, Mode of delivery, estimated blood loss and State of the perineum of the mothers.

Table 2 showed the summary of the primary outcomes of the study and compared them with the Zimbabwean study. A total of 5385 babies (including 174 multiple births) were delivered within the study period. Caesarean delivery accounted for 29.4% of the deliveries. Episiotomy and third/fourth perineal tear occurred in 13.8% and 0.2% respectively. Other intrapartum quality indicators were as shown in Table 2.

IntrapartumCare Performance Indicators Zimbabwean[20] ESUTH Results 
  Targets 2012  
Number of women delivered - 10501 5211
Percentage of women who had antenatal care in ESUTH* and delivered in ESUTH* - 71.60%
Number of births >28 weeks - - 5385
Multiple births N=174 - 1.30% 3.30%
Percentage of birth preterm delivery - 4.10% 15.00%
Caesarean section rate  18.20% 18.10% 29.40%
Instrumental delivery rate 5.00% 1.60% 0.20%
Percentage of women who had episiotomy - 13.80%
Percentage of 3rd/4th degree perineal tear 0.30% 0.00% 0.20%
Percentage of women who had **PPH>1000mls 0.50% 0.00% 0.90%
Percentage of women with eclampsia N40 0.50% 0.50% 0.80%
Percentage of obstetric intensive care unit admission - 0.60%
(20% mortality rate)
Percentage of 5mins Apgar score <7 neonates 6.00% 6.20% 9.90%
Percentage of neonates admitted to NBICU in 2012 to 2014  17.50% 19.10% 9.20%
Total stillbirth rate 3.40% 3.30% 4.80%
Fresh stillbirth rate 0.70% 0.70% 2.40%
Macerated stillbirth rate 2.70% 2.70% 2.40%
Neonatal death rate (2012-2014 ) 3.40% 3.60% 0.80%
Perinatal mortality rate(2012-2014 0.30% 0.30% 5.90%
Percentage of women who died 0.40% 0.50% 0.30%
(***MMR=292/100000/live births)
Percentage of avoidable maternal deaths - 100%

Table 2: Results of intrapartum care quality indicators compared with WHO [25] targets results.

Table 3 showed the stillbirth rate was 256(4.8%); 129 were fresh stillbirths while 127 were macerated stillbirths. Majority 4295 (79.8%) of the babies had Apgar scores at 5 minutes >7 while 531 (9.9%) had score <7 at 5 minutes. The total newborn intensive care unit admission for 2012 to 2014 was 319 including 13 twins and 25 early (<7 days) neonatal deaths, giving a total live births of (3483 total births-169 total stillbirths) 3314 for 2012 to 2014. The neonatal death rate (25/3314 × 1000) was 7.5/1000 live births or 0.8%. The causes of the neonatal deaths were: neonatal sepsis 1 (20%), severe birth asphyxia 18 (72%), prematurity 7 (28%), very low birth weight 2(40%) and disseminated intravascular coagulopathy 1(20%). The perinatal mortality rate (stillbirth+early (<7days) neonatal deaths × 1000/ Total live birth=169+25 × 1000/3314) was 58.5/ 1000 live births or 5.9%.

Sex Number Percentage
Male 2686 49.9
Female 2558 47.5
Not stated 141 2.6
Total (including 174 twin deliveries) 5385 100
<2.5 kg     550 10.2
2.5 --3.5     3639 67.6
3.6--4.0      848 15.7
>4kg         215 4
Not stated          133 2.5
Total            5385 100
 Apgar score at 5 minute    
 0 (FSB)          129 2.4
 0 (MSB)          127 2.4
1 to<7.0             531 9.9
>7.0        4510 83.8
 Not stated       88 1.6
 Total             5385 99.9
Calculations of Perinatal and Neonatal mortality rates    
Total delivery for 2012-2014   3483
Total stillbirths for 2012-2014 169  
Total live birth (3483-169)   3314
Total newborn intensive care unit  admissions 319  
Total early neonatal deaths <7 days 25  
Causes of early neonatal deaths    
Neonatal sepsis 1  
Severe birth asphyxia   18
Prematurity   7
Very low birth weight   2
Disseminated intravascular coagulation 1  
Perinatal mortality rate (2012-2014)=Stillbirth+early neonatal deaths × 1000/Total live birth
= 169+25 × 1000/3314.
= 58.5/1000 live birth or 5.6% .
Neonatal death rate (2012-2014)=Neonatal death × 1000/Total live births
=25 × 1000/3314 live babies.
=7.54/1000 live birth or 0.8%.

Table 3: Distributions of sex, weight, Apgar scores, Perinatal and Neonatal mortality rates of the babies for 2012-2014.

Table 4 showed 30 critically ill obstetric patients 30/5211 were admitted to the intensive care unit and 6(20%) of them died. The commonest cause of death was postpartum eclampsia as shown in Table 4.

Diagnosis Number Percentage Outcome
Postpartum eclampsia 3 10 3 died
Eclampsia 8 26.7 1 died
Seizures 1 3.3 Died
Uterine rupture 7 23.3 All survived
Jaudince in pregnancy 1 3.3 Survived
Obstructed labour 1 3.3 Died
Postpartum haemorrhage from perineal tear 1 3.3 Survived
Sickle cell disease in pregnancy 2 6.6 Survived
Prolonged labour 1 3.3 Survived
Abruption placenta 2 6.6 Survived
Placenta praevia 2 6.6 Survived
Postpartum collapse 1 3.3 Survived
Total 30 100 6 died

Table 4: Obstetric intensive care unit admissions.


Clinical audit of intrapartum care quality indicators is a retrospective analysis of routinely documented medical records to detect of areas of poor-quality, and to institute quality improvement measures that will prevent further harm. What should constitute the components of the quality indicators and their targets or benchmarks for national or international performance monitoring are not well defined. Sibanda, et al. [26] advised individual units to monitor their performance over time and to look for adverse trends using local or national targets where available as was done in this discussion. The targets set at 20% below the 2012 values in Zimbabwean study appeared to be applicable to ESUTH, Enugu as the results are relatively comparable as shown in Table 2. Mpilo Central Hospital in Zimbabwe is public tertiary referral hospital in sub-Saharan Africa like ESUTH, Enugu in Nigeria.

Maternal deaths and maternal mortality ratio

Fifteen (15/5211, 0.3%) maternal deaths occurred during the study period. This gives an institutional maternal mortality ratio (15 × 100000/5129) of 292/100000 live births. This figure 1 compared favorably to 0.4% Zimbabwean target, reported maternal mortality ratios of 1100/100000 live births in Sierra Leone, 980 in Chad, 730 in Congo Democratic Republic, 740 in Brundi, 625 in ESUTH, Enugu (2009) and the current national ratio of 576/100000 live births. The maternal mortality ratios in developed countries in 2013 were Sweden 4/100000 live births, Australia 6, Germany 7, United Kingdom 8, Canada 11 and United States 28. Maternal deaths are common in developing countries and they are still essential quality indicators in these settings unlike in developed countries where maternal death is a very rare event [12,25,27,28]. The improvement in maternal mortality ratio in this study may be a reflection of the increase in the quality of manpower and infrastructural developments as this health institution transits to a teaching hospital status. The causes of maternal deaths in this study include eclampsia 5 (33.3%), haemorrhage 4 (26.7%) uterine rupture 3(20%), obstructed labour 1/15, seizures 1/25, and puerperal sepsis 1/25. Eclampsia and haemorrhage have remained the major causes of maternal deaths in ESUTH, Enugu as in some other institutions. These deaths are avoidable [12,29].

Facility births

The high rate of booked facility births of 71.6% can be an index of the high quality of intrapartum care in ESUTH. It implies that most of the mothers are satisfied with both the antenatal and intrapartum services they received in the hospital. The reported Figure 1 in this study is comparable to the reported facility births of 78.1% in the same study population [27].

Preterm delivery

Preterm delivery rate of 15.0% in this study is higher than 4.1% and 7.1% in Zimbabwe and Aba in Nigeria respectively. The fact that preterm deliveries are usually referred to hospitals with newborn intensive units like ESUTH may explain the high figure in this study [25,30].The department should critically audit the causes of these preterm deliveries and institute policy changes to reduce the incidence. Routine antenatal screening for urinary tract infection, encouraging adequate maternal rest in pregnancy and proper management of multiple pregnancies can reduce this high rate of preterm delivery.

Caesarean delivery and instrumental vaginal delivery

In 1985, the World Health Organization (WHO) [31] stated: “There is no justification for any region to have CS rates higher than 10-15%”, the reported caesarean delivery rate of 29.4% in this work is comparable to 32% in America, 27.4% in Enugu and 31.5% in Jos. It is higher than 18.1% in Zimbabwe [25] .This may be because only complicated deliveries are referred to ESUTH while normal deliveries occur in the peripheral health facilities like health centers, maternity homes and private hospitals [32-34]. Such referrals will increase the numerator and decrease the denominator and thus exaggerate the caesarean delivery rate as reported in this study. Policy changes of ensuring consultants reviewed cases before booking them for caesarean delivery, reduction in primary caesarean delivery, availability of vaginal birth after caesarean section and breech vaginal deliveries in selected cases may reduce this high caesarean delivery rate. Elective caesarean delivery accounted for 21.8% of the operative delivery in this study and this is comparable to 21.8% in Sokoto. Societal demands for improved fetal outcome and liberalization of the indications appear to be contributory to the increase in caesarean delivery [35]. Instrumental vaginal delivery of 0.2% means that many patients may have been denied of this service in ESUTH [36]. It may also be contributory to the high caesarean delivery rate in this work.

Stillbirth rates

In 2008, 2-4 million stillbirths occurred worldwide with 98% of them occurring in developing countries. In developed countries, the rate ranges between 2 and 8.7/1000 deliveries, while the rate in Pakistan was between 22.4 and 127/1000 [37,38]. A total stillbirth rate of 4.8% in this work is similar to 4.5% in Port Harcourt, [39,40] Nigeria and to the national rate of 4.2%. [37] It is, however, higher than 3.4% target in Zimbabwe. Stillbirth rate is a reflection of the qualities of antenatal and intrapartum care services [25]. Fresh stillbirth rate is especially an index of quality of intrapartum care. Fresh stillbirth rate of 2.4% in this report is higher than 0.7% in Zimbabwe but lower than 50.9% in Port Harcourt. There may be complacency during the management of labor in this facility [25,40]. Strict implementations of active management of labor and the use of partograph may prevent most of these fresh stillbirths. The 5 minutes Apgar score of <7 of 9.9% is relatively higher than 6.0% target in Zimbabwe. This may be a reflection suboptimal care in the labor management in this facility.

Perinatal and neonatal death rates

Perinatal mortality is the death of a fetus in utero after the age of viability (still births) and deaths of neonates within the first seven days of life [41].

It is a better indicator of quality of maternal care than neonatal health. The perinatl mortality rates in developed countries can be as low as 10 per 1000 [42]. In Nigeria the rates ranges from 39 to 130 per 1000 [42,43]. With 25% of fetal deaths in occurring during the intrapartum period, the causes of perinatal mortality in the postnatal period are prematurity, respiratory distress syndrome, sepsis and congenital abnormalities [44-47]. The perinatal mortality rate of 58.5/1000live births or 5.6% in this study is within the high Nigerian rate of 39 to 130 per 1000 live births. This result is about 19 times higher than the target of 0.3% in Zimbabwe. The neonatal mortality rate of 7.5/1000 live births or 0.8% is also higher than 3.4% in Zimbabwe. The commonest cause of the neonatal deaths in this study was severe birth asphyxia.

The perineum

Episiotomy is an intentional surgical incision made on the perineum with the aim of enlarging the introitus during childbirth. The rates in the world range from as low as 9.7% in Sweden to 100% in Taiwan. In Nigeria, the rates range from 20.1% in Calabar [48,49], 35.6% in Zaria to 40.4% in Enugu for all vaginal deliveries. The episiotomy rate of 13.8% in this study is higher than the WHO recommended rate of 10.0% [50-52]. But lower than most studies in Nigeria. Episiotomy is significant cause of postpartum pain and should be performed when indicated and not as routines. The reported 0.2% third degree perineal tear compared favorably to 0.3% target in Zimbabwean study.

Limitations of the study

This was a retrospective clinical audit and there were lots of missing information and even registers. The register for newborn intensive care unit admission for 2010 and 2011 were missing. Calculations of neonatal and perinatal mortality rates were based the available 2012-2014 data. There were no existing departmental quality indicator benchmarks for monitoring performances and the comparisms of the results were mostly on the Zimbabwean study and national demographic survey for 2013.


This study has started a-stock-taking or quality improvement study in the department and it should be done on monthly basis to track trends of adverse events that demand immediate improvement to prevent further harms. The results of this audit can serve as baseline benchmarks for comparing such future monthly intrapartum care quality audits as ESUT maternity dashboards. It requires trainings, computerization and updating quality indicator parameters in the relevant registers. The monthly departmental mortality audit should be changed to monthly adverse events audit to include mortalities and morbidities that occurred within the month. It should be inter-departmental audit with relevant departments like neonatal, anesthesia, nurses, blood bank, and theatre and hospital management. Such a meeting will create enabling environment for immediate implementations of policy changes that will be devoid of inter-departmental resentments.


This clinical audit has identified areas of high quality care in service utilizations of hospital delivery, booked facility births, term births and low episiotomy rate. The maternal mortality of ratio of 292/100000 live birth is lower than that of most sub-Saharan Africa countries.

Several areas of poor quality were also identified. High rates of preterm delivery, caesarean delivery, severe postpartum hemorrhage >1000 ml, and fresh stillbirth may be indices of poor quality. High intensive care unit mortality, stillbirth, and perinatal death rates are evidence that these areas are of poor quality and need urgent improvements to prevent further deaths.

The results of this study can be used as targets for comparing and monitoring adverse events in the department. The multi-departmental units involved in the care of the mothers and their babies should be part of the monthly departmental adverse events audit for ease implementations of policy changes that will be devoid of interdepartmental sentiments. Trainings and computerization of the medical records are essential for any regular clinical audits.


This study is dedicated to Professor Vincent Nnaemeka Egwuatu for being an ideal mentor in the department and for encouraging me to undertake researches that will project the image of this emerging great health institution.


  1. Paxton A, Maine D, Freedman L (2005)The evidence for emergency obstetric care. In: J GynaecolObstet 88: 181-193.
  2. Ronsmans C, Graham WJ (2006) Lancet Maternal Survival Series steering group Maternal mortality: who, when, where, and why 368: 1189-1200.
  3. Koblinsky M, Matthews Z, Hussein J, Mavalankar D, Mridha MK, et al. (2006) Going to scale with professional skilled care. See comment in PubMed Commons below Lancet 368: 1377-1386.
  4. Institute of Medicine (2001) Crossing the Quality Chasm: A New Health System for the 21st Century.
  5. 1WHO (2006) Pregnancy, Childbirth, Postpartum and Newborn Care: A Guide for Essential Care.
  6. Bhutta ZA, Black RE (2013) Global maternal, newborn, and child health-so near and yet so far. N Engl J Med 369: 2226-2235.
  7. World Health Organization (2005), The World Health Report 2005: Make Every Mother and Child Count.
  8. Souza JP, Mezoglu AM, Vogel J, Carroli G, Lumbiganon P, et al (2013)Moving beyond essential interventions for reduction of maternal mortality (the WHO Multicountry Survey on Maternal and Newborn Health): a cross-sectional study. Lancet 381:1747-1755.
  9. Society of Gynaecology and Obstetrics of Nigeria (SOGON) (2004) Status of Emergency Obstetric Services in Six States of Nigeria-A Needs Assessment Report.
  10. Audu LR, Ekele BA (2002) A ten year review of maternal mortality in Sokoto, northern Nigeria. West Afr J Med 21: 74-76.
  11. OlapadeFE, Lawoyin TO (2008)maternal mortality in a Nigerian maternity Hospital. Afr J Biomed Res 11:267-273.
  12. Ezugwu EC, Onah HE, Ezugwu FO, Okafor II (2009) Maternal mortality in a transitional hospital in Enugu, south east Nigeria. Afr J Reprod Health 13: 67-72.
  13. Williams O (1996) What is clinical audit? See comment in PubMed Commons below Ann R CollSurgEngl 78: 406-411.
  14. Donabedian A (1988) The quality of care. How can it be assessed? JAMA 260: 1743-1748.
  15. Morestin F, Bicaba A, SerméJde D, Fournier P (2010) Evaluating quality of obstetric care in low-resource settings: building on the literature to design tailor-made evaluation instruments--an illustration in Burkina Faso. BMC Health Serv Res 10: 20.
  16. Pirkle CM1, Dumont A, Zunzunegui MV (2012) Medical recordkeeping, essential but overlooked aspect of quality of care in resource-limited settings. Int J Qual Health Care 24: 564-567.
  17. Dumont A, De Bernis L, Bouillin D, Gueye A, Dompnier JP, et al (2002)J GynecolObstetBiolReprod (Paris) 31: 70-79.
  18. Draycott T, Sibanda T, Laxton C, Winter C, Mahmood T, et al. (2010) Quality improvement demands quality measurement. BJOG 117: 1571-1574.
  19. Maternity dashboard: clinical performance and governance score card (2008) London: Royal College Obstetricians and Gynaecologists
  20. Country health information systems assessments for UN Commission on Information and Accountability priority countries (2012) Geneva: World Health Organization
  21. Stone-Griffith S, Englebright JD, Cheung D, Korwek KM, Perlin JB (2012) Data-driven process and operational improvement in the emergency department: the ED Dashboard and Reporting Application. J HealthcManag 57: 167-180
  22. Sibanda T, Sibanda N, Siassakos D, Sivananthan S, Robinson Z, et al. (2009) Prospective evaluation of a continuous monitoring and quality-improvement system for reducing adverse neonatal outcomes. Am J ObstetGynecol 201: 480.
  23. Okafor II, Ugwu EO, Obi SN, Odugu BU (2014) Virtual elimination of mother-to-child transmission of human immunodeficiency virus in mothers on highly active antiretroviral therapy in Enugu, South-Eastern Nigeria. Ann Med Health Sci Res 4:615-618
  24. Dim CC1, Ugwu EO, Iloghalu EI (2013) Duration and determinants of inter-birth interval among women in Enugu, south-eastern Nigeria. See comment in PubMed Commons below J ObstetGynaecol 33: 175-179.
  25. J Crofts, J Moyo, W Ndebele, S Mhlanga, T Draycotta, et al (2014) Adaptation and implementation of local maternity dashboards in a Zimbabwean hospital to drive clinical improvement, Lessons from the field. Bull World Health Organ 92:146-152
  26. ThabaniSibanda, Robert Fox, Timothy J,Draycott et al (2013)Intrapartum care quality indicators: a systematic approach for achieving consensus. European journal of Obstetrics & Gynecology and Reproductive Biology, 166: 23-29.
  27. WHO, UNICEF, UNFPA, World Bank and the United Nations Population Division (2014). Trends in maternal mortality: 1990-2013, World Health Organization.
  28. Aboyeji AP, Ijaiya MA, Fawole AA (2007) Maternal mortality in a Nigerian teaching hospital - a continuing tragedy. Trop Doct 37: 83-85.
  29. Chigbu B, Onwere S, Aluka C, Kamanu C, FeyiWaboso P, Okoro O (2014) The burden of preterm births in Aba, Southeastern Nigeria. J Med InvestigPract 9:55-8.
  30. Menacker F, Hamilton BE (2010) Recent trends in cesarean delivery in the United States. NCHS Data Brief:1-8.
  31. Ugwu EO, Obioha KC, Okezie OA, Ugwu AO (2011) A five-year survey of caesarean delivery at a Nigerian tertiary hospital. Ann Med Health Sci Res 1: 77-83.
  32. Anzaku AS, Makinde OO, Mikah S, Shephard SN (2014) Obstetric indices at a Private University Teaching Hospital in Jos, North Central Nigeria. J Med Trop 16:71-75
  33. Nwobodo EI, Isah AY, Panti A (2011) Elective caesarean section in a tertiary hospital in Sokoto, north western Nigeria. Niger Med J 52: 263-265.
  34. Shehu DJ (1992) Socio-cultural factors in the causation of maternal morbidity and mortality in Sokoto. In: Kisekka M editor. Women’s Health Issues in Nigeria. Zaria: Tamaza Publishing Company Limited 203-214.
  35. Lawn JE, Blencowe H, Pattinson R, Cousens S, Kumar R, et al (2011) Stillbirths: Where? When? Why? How to make the data count? See comment in PubMed Commons below Lancet 377: 1448-1463.
  36. Steenhuysen J (2011) Stillbirth: A silent tragedy haunts the world’s poor. Reuters Health.
  37. Hossain N1, Khan N, Khan NH (2009) Obstetric causes of stillbirth at low socioeconomic settings. See comment in PubMed Commons below J Pak Med Assoc 59: 744-747.
  38. Ugboma HAA and Onyearugha CN (2012). Still Births in a Tertiary Hospital, Niger Delta Area of Nigeria; Less Than a Decade to the Millennium Developmental Goals. International Journal of Tropical Disease & Health, 2: 16-23.
  39. WHO (2006) Neonatal and perinatal mortality. Country, regional and global estimates. Geneva: World Health Organization
  40. MacDorman MF, Hoyert DL, Martin JA, Munson ML, Hamilton BE (2007) Fetal and perinatal mortality, United States, 2003. Natl Vital Stat Rep 55: 1-17.
  41. Ravelli AC, Tromp M, van Huis M, Steegers EA, Tamminga P, et al. (2009) Decreasing perinatal mortality in The Netherlands, 2000-2006: a record linkage study. J Epidemiol Community Health 63: 761-765.
  42. Akpala CO (1993) Perinatal mortality in a northern Nigerian rural community. J R Soc Health 113: 124-127.
  43. Ekure EN, Ezeaka VC, Iroha E, Egri-Okwaji M (2011) Prospective audit of perinatal mortality among inborn babies in a tertiary health center in Lagos, Nigeria. Niger J ClinPract 14: 88-94.
  44. Adimora GN, Odetunde IO (2007) Perinatal mortality in University of Nigeria Teaching Hospital (UNTH) Enugu at the end of the last millennium. Niger J ClinPract 10: 19-23.
  45. Federal Ministry of Health (2011)saving newborn lives in Nigeria: Newborn health in the context of the Integrated Maternal, Newborn and Child Health Strategy. Abuja. : Federal Ministry of Health, Save the Children, Jhpiego
  46. Graham ID, Carroli G, Davies C, Medves JM (2005) Episiotomy rates around the world: an update. Birth 32: 219-223.
  47. InyangEtoh CE, Umoiyoho AJ (2012)The practice of episiotomy in a university teaching hospital in Nigeria. Int J Med Biomed Res1:68-72
  48. Sule ST, Shittu SO (2003) Puerperal complications of episiotomies at Ahmadu Bello University Teaching Hospital, Zaria, Nigeria. East Afr Med J 80: 351-356.
  49. Onah HE, Akani CI (2004) Rates and predictors of episiotomy in Nigerian women. Trop J ObstetGynaecol 21:44-45
  50. World Health Organization (1985). Appropriate technology for birth. Lancet. 2:436-437
Citation: Igwebueze OI (2015) Clinical Audit of Quality of Intrapartum Care in a State University Teaching Hospital, Enugu, Southeast, Nigeria. J Women’s Health Care 4:249.

Copyright: © 2015 Igwebueze OI. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.