Perinatal Problem Identification Programme Research Articles

Resilience in the time of crisis: A review of the maternal, perinatal and reproductive health effects of COVID-19 in South Africa.

The COVID-19 pandemic had a profound effect on the health sector globally and in South Africa (SA). To review the effects of COVID-19 on maternal, perinatal and reproductive health outcomes and service utilisation in SA. Three routine national data collection systems were sourced: the District Health Information System, the Saving Mothers reports of the National Committee on Confidential Enquiry into Maternal Deaths and the Saving Babies reports from the National Perinatal Morbidity and Mortality Committee using data from the Perinatal Problem Identification Program. There were 35% and 8% increases in maternal and stillbirth mortality rates, respectively, in 2020 and 2021, which correlated with the COVID-19 waves. However, in 2022, rates returned to pre-COVID levels. Antenatal visits and facility births showed little change, but there was a shift to more rural provinces. The use of oral and injectable contraceptives and termination of pregnancy services decreased markedly in 2020 and 2021, with a sustained shift to long-acting reversible contraceptives. The increase in maternal deaths was predominantly due to COVID-19 respiratory complications, but also an increase in obstetric haemorrhage. Stillbirths increased significantly (10%) for birthweights between 2 000 g and 2 499 g, categorised mostly as unexplained stillbirths or preterm labour, but no increase in neonatal deaths was observed. Administrative avoidable factors increased by 24% in the 2020 - 2022 triennium, but there was no increase in patient/community level or healthcare provider-related avoidable factors during the pandemic years. COVID-19 caused a marked increase in maternal death and stillbirth rates in 2020 and 2021 due to both direct effects of the virus and indirect effects on functioning of the health system. The continued, although modified, health-seeking behaviour of women and the rapid return to pre-COVID-19 mortality rates demonstrates enormous resilience in women and the health system.

Identifying avoidable causes of perinatal deaths in a district hospital in Lesotho.

Certain determinants can be associated with avoidable perinatal deaths, and audits are needed to establish what these determinants are, and what can be done to prevent such deaths. The study aimed at identifying and describing determinants associated with avoidable perinatal deaths at a district hospital in Lesotho and strategies to curb their occurrence. A retrospective descriptive study was conducted using 142 anonymised obstetric records from January 2018 to December 2020. A data collection tool was adopted from the Perinatal Problem Identification Programme. In this tool, avoidable determinants are referred to as 'factors' or 'problems'. A concerning number of perinatal deaths were secondary to avoidable patient factors, namely a delay in seeking medical care, inappropriate responses to antepartum haemorrhage, and inadequate responses to poor foetal movements. Medical personnel factors are also worth observing, namely incorrect use of partograph, insufficient notes to comment on avoidable factors and 'other' medical personnel problems. Ranking highest among administrative problems were the unavailability of intensive care unit beds and ventilators and inadequate resuscitation equipment. Administrative problems accounted for more perinatal deaths than the patient-related factors and medical personnel factors. There is an urgent need for periodic audits, health education for patients, staff competency and the necessary equipment to resuscitate neonates.Contribution:Avoidable determinants associated with perinatal deaths in a district hospital in Lesotho could be identified. This information provides an understanding of what can be done to limit avoidable perinatal deaths.

In-hospital neonatal mortality in a level-2 hospital in Cape Town, South Africa

Background. Neonatal mortality (death in the first 28 days of life) is a major contributor to under-5 mortality in South Africa. Many advances in neonatal care have been introduced, but the impact of these interventions has not been studied outside of tertiary academic centres.Objective. To describe neonatal mortality in the neonatal high care unit at New Somerset Hospital in Cape Town, South Africa, over an8-year period.Methods. Records of neonatal deaths were captured and entered into a database; deaths were coded according to Perinatal ProblemIdentification Program categories.Results. Neonatal deaths from 2011 to 2018 were analysed, excluding 2014. There were 296 neonatal deaths; median (interquartile range (IQR)) birthweight of neonatal deaths was 1 140 (790 – 2 420) g; median (IQR) gestation was 29 (25 - 38) weeks. Immaturity (132/296, 45%) was the most common cause of death, followed by hypoxia (67/296, 23%) and infections (61/296, 21%). There were 250 (84%) neonatal deaths in the first week of life. There was a trend towards a decreasing number of neonatal deaths (from 48 in 2011 to 34 in 2018), and rate of deaths (from 45.2 per 1 000 admissions to 28.2 per 1 000 admissions). This was driven by decreased deaths due to immaturity; number of deaths due to other causes remained approximately constant.Conclusion. We observed a decreasing number of neonatal deaths and rate of deaths per 1 000 admissions, with the largest decreasein deaths due to prematurity. Advances in respiratory care for preterm neonates may have contributed to decreased mortality due toimmaturity. Upstream obstetric interventions will be required to address hypoxia-related causes of neonatal mortality.

Multiple pathways to scaling up and sustainability: an exploration of digital health solutions in South Africa

BackgroundWith the aim to support further understanding of scaling up and sustaining digital health, we explore digital health solutions that have or are anticipated to reach national scale in South Africa: the Perinatal Problem Identification Programme (PPIP) and Child Healthcare Problem Identification Programme (Child PIP) (mortality audit reporting and visualisation tools), MomConnect (a direct to consumer maternal messaging and feedback service) and CommCare (a community health worker data capture and decision-support application).ResultsA framework integrating complexity and scaling up processes was used to conceptually orient the study. Findings are presented by case in four domains: value proposition, actors, technology and organisational context. The scale and use of PPIP and Child PIP were driven by ‘champions’; clinicians who developed technically simple tools to digitise clinical audit data. Top-down political will at the national level drove the scaling of MomConnect, supported by ongoing financial and technical support from donors and technical partners. Donor preferences played a significant role in the selection of CommCare as the platform to digitise community health worker service information, with a focus on HIV and TB. A key driver of scale across cases is leadership that recognises and advocates for the value of the digital health solution. The technology need not be complex but must navigate the complexity of operating within an overburdened and fragmented South African health system. Inadequate and unsustained investment from donors and government, particularly in human resource capacity and robust monitioring and evaluation, continue to threaten the sustainability of digital health solutions.ConclusionsThere is no single pathway to achieving scale up or sustainability, and there will be successes and challenges regardless of the configuration of the domains of value proposition, technology, actors and organisational context. While scaling and sustaining digital solutions has its technological challenges, perhaps more complex are the idiosyncratic factors and nature of the relationships between actors involved. Scaling up and sustaining digital solutions need to account for the interplay of the various technical and social dimensions involved in supporting digital solutions to succeed, particularly in health systems that are themselves social and political dynamic systems.

Early neonatal death review from two provinces in Papua New Guinea: A retrospective analysis.

To determine the causes of early neonatal death and the avoidable factors associated with these deaths among women participating in a cluster-randomised crossover trial in Papua New Guinea. Early neonatal deaths were identified by retrospective chart review of the Women and Newborn Trial of Antenatal Interventions and Management study participants between July 2017 and January 2020. Causes of death and avoidable factors were identified using the Perinatal Problem Identification Program system. There were 35 early neonatal deaths among 2499 livebirths (14 per 1000 births). Fifty-seven percent (20/35) of deaths occurred on the first day of life. Idiopathic preterm birth was the leading obstetric cause of perinatal death (29%; 10/35). Extreme multi-organ immaturity (23%; 8/35) and hypoxic ischaemic encephalopathy (17%; 6/35) were the most common final causes of neonatal death. Forty-six avoidable factors were identified among 26 deaths, including delays in care-seeking, insufficient resources at health facilities, poor intrapartum care and immediate care of the newborn, including neonatal resuscitation. In this study, potentially preventable causes and avoidable factors were identified in the majority of early neonatal deaths. Addressing these factors will require health system strengthening, particularly the upskilling of primary level health staff, as well as targeted health education of women and the community.

Maternal and neonatal factors associated with perinatal deaths in a South African healthcare institution.

BackgroundResearch indicated the prevalence of perinatal deaths of infants immediately or up to a week after birth and includes fresh and macerated stillbirths and neonatal deaths. Worldwide, there is a decline in perinatal deaths. However, in South Africa, it is not the case. Often the quality of maternity care is considered as the most important contributing factor for these deaths. However, maternal and neonatal factors can also contribute.AimThe aim of the study was to determine the maternal and neonatal factors associated with perinatal deaths in a single selected district hospital within the Free State Province of South Africa.SettingThe maternity unit of the largest district hospital in the specific district in the Free State Province of South Africa.MethodA clinical audit design was used. Units of analysis comprised the Perinatal Problem Identification Programme (PPIP) database of neonates born during 2015, and their mothers. A random sample of 384 alive neonates and an all-inclusive sample of 43 deceased neonates were taken from a total of 2319. Descriptive statistics were reported and Cohen’s effect sizes, d, were calculated to identify practically significant differences between the neonates in the alive and the deceased group, respectively.ResultsCohen’s effect sizes and logistical regression analyses indicate that the Apgar score recorded 10 min after birth, gestational age, birth weight of neonate and the parity of the mother were the most practically significant factors influencing a neonate’s chances of survival.ConclusionQuality maternity care is not the only cause of perinatal mortality rates; maternal and neonatal factors are also contributors.

Perinatal death audit and classification of stillbirths in two provinces in Papua New Guinea: A retrospective analysis

To undertake a retrospective perinatal death audit and assessment of avoidable factors associated with stillbirths among a cohort of women in two provinces in Papua New Guinea. We used data from an ongoing cluster-randomized crossover trial in 10 sites among 4600 women in Papua New Guinea (from 2017 to date). The overarching aim is to improve birth outcomes. All stillbirths from July 2017 to January 2020 were identified. The Perinatal Problem Identification Program was used to analyze each stillbirth and review associated avoidable factors. There were 59 stillbirths among 2558 births (23 per 1000 births); 68% (40/59) were classified "fresh" and 32% as "macerated". Perinatal cause of death was identified for 63% (37/59): 30% (11/37) were due to intrapartum asphyxia and traumatic breech birth and 19% (7/37) were the result of pre-eclampsia. At least one avoidable factor was identified for 95% (56/59) of stillbirths. Patient-associated factors included lack of response to reduced fetal movements and delay in seeking care during labor. Health personnel-associated factors included poor intrapartum care, late diagnosis of breech presentation, and prolonged second stage with no intervention. Factors associated with stillbirths in this setting could be avoided through a package of interventions at both the community and health-facility levels.

Stillbirth risk across pregnancy by size for gestational age in Western Cape Province, South Africa: Application of the fetuses-at-risk approach using perinatal audit data.

There is little published work on the risk of stillbirth across pregnancy for small-for-gestational-age (SGA) and large-for-gestational (LGA) pregnancies in low-resource settings. To compare stillbirth risk across pregnancy between SGA and appropriate-for-gestational-age (AGA) pregnancies in Western Cape Province, South Africa (SA). A retrospective audit of perinatal mortality data using data from the SA Perinatal Problem Identification Program was conducted. All audited stillbirths with information on size for gestational age (N=677) in the Western Cape between October 2013 and August 2015 were included in the study. The Western Cape has antenatal care (ANC) appointments at booking and at 20, 26, 32, 34, 36, 38 and 41 (if required) weeks' gestation. A fetuses-at-risk approach was adopted to examine stillbirth risk (28 - 42 weeks' gestation, ≥1000 g) across gestation by size for gestational age (SGA <10th centile Theron growth curves, LGA >90th centile). Stillbirth risk was compared between SGA/LGA and AGA pregnancies. SGA pregnancies were at an increased risk of stillbirth compared with AGA pregnancies between 30 and 40 weeks' gestation, with the relative risk (RR) ranging from 3.5 (95% confidence interval (CI) 1.6 - 7.6) at 30 weeks' gestation to 15.3 (95% CI 8.8 - 26.4) at 33 weeks' gestation (p<0.001). The risk for LGA babies increased by at least 3.5-fold in the later stages of pregnancy (from 37 weeks) (p<0.001). At 38 weeks, the greatest increased risk was seen for LGA pregnancies (RR 6.6, 95% CI 3.1 - 14.2; p<0.001). There is an increased risk of stillbirth for SGA pregnancies, specifically between 33 and 40 weeks' gestation, despite fortnightly ANC visits during this time. LGA pregnancies are at an increased risk of stillbirth after 37 weeks' gestation. This high-risk period highlights potential issues with the detection of fetuses at risk of stillbirth even when ANC is frequent.

Neural tube defect diagnosis and outcomes at a tertiary South African hospital with intensive case ascertainment.

Neural tube defects (NTDs) are an important category of birth defect, but surveillance remains inadequate in South Africa. To assess the identification of NTDs at a tertiary hospital using a range of prenatal, perinatal and postnatal data sources, and to estimate the impact of prenatal diagnosis and birth prevalence for the referral area. Cases of anencephaly, encephalocele and spina bifida (SB) in a 6-year period were retrospectively identified from 5 data sources covering prenatal, perinatal and postnatal care. These were cross-correlated to avoid duplicate entries and to determine the contribution of different data sources. Details of prenatal diagnosis and termination of pregnancy (TOP) were obtained for 10 years, and birth prevalence over 2 years. During a 6-year period 195 NTDs were identified at a Western Cape Province tertiary hospital. These included 59 (30%) cases of anencephaly, 28 (14%) of encephalocele and 108 (55%) of SB. The majority of NTDs (71%) were detected prenatally, although SB was less commonly diagnosed prenatally than cranial defects (56% v. 88%; p<0.001). Of SB cases ascertained pre- or postnatally, 57% of patients were born alive and 50% discharged alive, but 72% of survivors had not been diagnosed prenatally. Women receiving prenatal diagnosis of any type of NTD before 24 weeks' gestation were nearly always offered TOP, and the majority accepted termination after non-directive counselling. For SB, later prenatal diagnosis was associated with much lower termination rates because the option was less often offered (51% v. 100%; p<0.001), and perhaps less often accepted (57% v. 78%; p=0.06). The estimated NTD birth prevalence for the referral area was 0.76 - 0.80 per 1 000 live births, but perhaps up to 1.18 per 1 000 when considering under-referral of lethal cranial lesions from rural areas. A substantial number of NTDs can be ascertained from a tertiary hospital environment if multiple data sources are used, even though adding data from the Perinatal Problem Identification Program for outlying health facilities increases detection of lethal defects. Hospital-based surveillance can be considered, especially for SB. Prenatal diagnosis was fairly common and pregnancy termination was often offered and accepted if detected before 24 weeks' gestation. A regional prenatal ultrasound programme, predominantly based in primary care but with ready access to a tertiary centre, can be quite effective, although limited or delayed access to prenatal diagnosis must be addressed.

Outcomes of self-induced late pregnancy termination in women presenting to a tertiary hospital in the Eastern Cape Province, South Africa.

Little is known about the outcomes of self-induced pregnancy termination after 24 weeks' gestation, as previous studies have concentrated on outcomes before 24 weeks. To investigate the gestational age, misoprostol dosage, source of information on misoprostol, reasons for termination and outcomes of self-induced pregnancy termination after 24 weeks' gestation. A quantitative, retrospective case series observational research design was utilised. Paediatric case summaries and the Perinatal Problem Identification Programme were used to collect data. Cases of self-induced pregnancy termination using misoprostol after 24 weeks' gestation treated at a tertiary hospital in the Eastern Cape Province, South Africa, during the period 1 July 2011 - 1 January 2012 were identified and included in the study. Frequencies and proportions were used to analyse data. Eighteen known cases of self-induced pregnancy termination using misoprostol after 24 weeks' gestation were treated at the hospital during the 6-month study period. Misoprostol doses ranged from 400 to 1 200 µg. Birth weight was <500 g in 1 case (6%), 500- 1499 g in 12 (67%), 1 500 - 1 999 g in 2 (11%), >2 500 g in 1 (6%) and unknown in 1 (6%). Eleven of the babies (67%) were born alive and 5 (28%) were stillborn (1 further stillbirth (6%) was classified as an abortion, <500 g). One baby (6%) survived, and in 1 case (6%) the pregnancy continued. Eight of the 10 neonatal deaths were early and 2 were late. The major cause of neonatal death was hyaline membrane disease (n=8, 44%). Other causes were hypoxia (n=2), septicaemia (n=2), necrotising enterocolitis (n=2), pulmonary haemorrhage (n=2) and intraventricular haemorrhage (n=2). More than one cause applied in some cases. The maternal complications were manual removal of the placenta (n=2, 11%), ruptured uterus (n=1, 6%), and anaemia with blood transfusion (n=1, 6%). Self-administration of misoprostol to induce pregnancy termination after 24 weeks' gestation contributes to preterm births and perinatal morbidity and mortality. The findings of this study show that there is a need to educate women on the perinatal and maternal risks associated with self-induced pregnancy termination at a late stage of gestation, availability of safe options for pregnancy termination, and contraceptive use and adherence. Healthcare workers need to be sensitive to the possibility that cases of apparent spontaneous preterm labour or birth may have been self-induced.

Applying the international classification of diseases to perinatal mortality data, South Africa.

ObjectiveTo examine the feasibility of applying the International Classification of Diseases-perinatal mortality (ICD-PM) coding to an existing data set in the classification of perinatal deaths.MethodsOne author, a researcher with a non-clinical public health background, applied the ICD-PM coding system to South Africa’s national perinatal mortality audit system, the Perinatal Problem Identification Program. The database for this study included all perinatal deaths (n = 26 810), defined as either stillbirths (of birth weight > 1000 g and after 28 weeks of gestation) or early neonatal deaths (age 0–7 days), that occurred between 1 October 2013 and 31 December 2016. A clinical obstetrician verified the coding.FindingsThe South African classification system does not include the timing of death; however, under the ICD-PM system, deaths could be classified as antepartum (n = 15 619; 58.2%), intrapartum (n = 3725; 14.0%) or neonatal (n = 7466; 27.8%). Further, the South African classification system linked a maternal condition to only 40.3% (10 802/26 810) of all perinatal deaths; this proportion increased to 68.9% (18 467/26 810) under the ICD-PM system.ConclusionThe main benefit of using the clinically relevant and user-friendly ICD-PM system was an enhanced understanding of the data, in terms of both timing of death and maternal conditions. We have also demonstrated that it is feasible to convert an existing perinatal mortality classification system to one which is globally comparable and can inform policy-makers internationally.

Auditing stillbirths at Lower Umfolozi War Memorial Regional Hospital: A 12-month review.

Although the total number of stillbirths worldwide was estimated at 2.6 million in 2009, there is currently a dearth of literature on stillbirths in developing countries and rural settings, where the majority of such births occur. The 'Hands Up' Mortality and Morbidity Extraction Tool (HUMMET), developed at Lower Umfolozi War Memorial Regional Hospital (LUWMRH) in 2010, outlines a systematic approach to summarising individual cases of adverse perinatal outcomes. To depict the HUMMET form by describing the detailed demographic and obstetric profile of patients who delivered a stillborn infant at LUWMRH, as well as risk factors associated with these stillbirths between 1 April 2014 and 31 March 2015. The findings add to a global initiative advanced by the Lancet series on stillbirths, aimed at raising awareness of stillbirth statistics in low- and middle-income countries. A total of 310 detailed stillbirth case summaries of 305 patients were collected during the study period, representing 90% of the total number of stillborn infants delivered at LUWMRH. A retrospective audit of the HUMMET forms was conducted and the cases were further summarised in a Microsoft Excel spreadsheet that allowed for a univariate analysis of the variables. The stillbirth rate at LUWMRH is much higher than that at other regional hospitals owing to the number of at-risk referrals and emergency cases from surrounding clinics and district hospitals. Referrals were from local clinics (49%) and district hospitals (45%), 35% of stillbirths were due to abruptio placentae and a large proportion were associated with gestational hypertension, pre-eclampsia and/or eclampsia. Avoidable factors were predominantly a late patient response to reduced fetal movements and delays in transfer to hospital. Twenty percent of stillbirths were associated with inappropriate monitoring or management of the obstetric condition at the district hospital. The HUMMET form provides a systematic approach to analysing cases of perinatal morbidity and mortality in line with the requirements of the Perinatal Problem Identification Programme database, but provides more details on the circumstances and contributing factors. A repeat audit is recommended to determine whether interventions have been effective.

Does antenatal care timing influence stillbirth risk in the third trimester? A secondary analysis of perinatal death audit data in South Africa.

To explore stillbirth risk across gestation in three provinces of South Africa with different antenatal care schedules. Retrospective audit of perinatal death data using South Africa's Perinatal Problem Identification Programme. In 2008, the Basic Antenatal Care Programme was introduced in Limpopo and Mpumalanga provinces, reducing appointments to five visits at booking, 20, 26, 32, 38 weeks and 41 weeks if required. In the Western Cape province seven appointments remained at booking, 20, 26, 32, 34, 36, 38 and 41 weeks if required. All audited stillbirths (n = 4211) between October 2013 to August 2015 in Limpopo, Mpumalanga and Western Cape. Stillbirth risk (26-42 weeks of gestation, >1000 g) across gestation was calculated using Yudkin's method. Stillbirth risk was compared between provinces and relative risks were calculated between Limpopo/ Mpumalanga and Western Cape. Stillbirth risk across gestation. Stillbirth risk peaked at 38 weeks of gestation in Limpopo (relative risk [RR] 3.11, 95% CI 2.40-4.03, P < 0.001)and Mpumalanga (RR 3.09, 95% CI 2.37-4.02, P < 0.001) compared with Western Cape, where no peak was observed. Stillbirth risk at 38 weeks gestation in Limpopo and Mpumalanga were statistically greater than both the 37 and 39 weeks gestation within provinces (P < 0.001). As expected, a peak at 41 weeks of gestation was observed in all provinces. The increased period of stillbirth risk occurs after a 6-week absence of antenatal care. This calls for a refocus on the impact of reduced antenatal care visits during the third trimester. Reduced antenatal care in the third trimester may increase stillbirth risk.

Contribution of congenital disorders to under-5 mortality

To the Editor : The article 'Where do children die and what are the causes?', which appeared in the April 2016 issue of the SAMJ, provides an overview of the causes of death in under-5 children in the Metro West geographical service area of the Western Cape for 2011. It highlights the proportion of under-5 deaths from congenital abnormalities (obvious structural abnormalities), which are particularly prevalent in early neonatal mortality - a close third (9.6%) of in-hospital deaths after hypoxia (10.0%) and immaturity (40.6%) according to the Perinatal Problem Identification Programme (PPIP) data. In the Local Mortality Surveillance System in-hospital data, congenital abnormalities are ranked as the second (13.5%) cause of early neonatal death after prematurity (35.8%).

Where do children die and what are the causes? Under-5 deaths in the Metro West geographical service area of the Western Cape, South Africa, 2011.

Accurate child mortality data are essential to plan health interventions to reduce child deaths. To review the deaths of children aged &lt;5 years during 2011 in the Metro West geographical service area (GSA) of the Western Cape Province (WC), South Africa, from routine data sources. A retrospective study of under-5 deaths in the Metro West GSA was done using the WC Local Mortality Surveillance System (LMSS), the Child Healthcare Problem Identification Programme (Child PIP) and the Perinatal Problem Identification Programme (PPIP), and linking where possible. The LMSS reported 700 under-5 deaths, Child PIP 99 and PPIP 252, with an under-5 mortality rate of 18 deaths per 1 000 live births. The leading causes of death were pneumonia (25%), gastroenteritis (10%), prematurity (9%) and injuries (9%). There were 316 in-hospital deaths (45%) and 384 out-of-hospital deaths (55%). Among children aged &lt;1 year, there were significantly more pneumonia deaths out of hospital than in hospital (144 (49%) v. 16 (6%); p&lt;0.001). Among children aged 1 - 4 years there were significantly more injury-related deaths out of hospital than in hospital (43 (47%) v. 4 (9%); p&lt;0.001). In 56 (15%) of the cases of out-of-hospital death the child had visited a public healthcare facility within 1 week of death. Thirty-six (64%) of these children had died of pneumonia or gastroenteritis. Health interventions targeted at reducing under-5 deaths from pneumonia, gastroenteritis, prematurity and injuries need to be implemented across the service delivery platform in the Metro West GSA. It is important to consider all routine data sources in the evaluation of child mortality.

Quality-of-care audits and perinatal mortality in South Africa.

ProblemSuboptimal care contributes to perinatal mortality rates. Quality-of-care audits can be used to identify and change suboptimal care, but it is not known if such audits have reduced perinatal mortality in South Africa.ApproachWe investigated perinatal mortality trends in health facilities that had completed at least five years of quality-of-care audits. In a subset of facilities that began audits from 2006, we analysed modifiable factors that may have contributed to perinatal deaths.Local settingSince the 1990s, the perinatal problem identification programme has performed quality-of-care audits in South Africa to record perinatal deaths, identify modifiable factors and motivate change.Relevant changesFive years of continuous audits were available for 163 facilities. Perinatal mortality rates decreased in 48 facilities (29%) and increased in 52 (32%). Among the subset of facilities that began audits in 2006, there was a decrease in perinatal mortality of 30% (16/54) but an increase in 35% (19/54). Facilities with increasing perinatal mortality were more likely to identify the following contributing factors: patient delay in seeking help when a baby was ill (odds ratio, OR: 4.67; 95% confidence interval, CI: 1.99–10.97); lack of use of antenatal steroids (OR: 9.57; 95% CI: 2.97–30.81); lack of nursing personnel (OR: 2.67; 95% CI: 1.34–5.33); fetal distress not detected antepartum when the fetus is monitored (OR: 2.92; 95% CI: 1.47–5.8) and poor progress in labour with incorrect interpretation of the partogram (OR: 2.77; 95% CI: 1.43–5.34).Lessons learntQuality-of-care audits were not shown to improve perinatal mortality in this study.

Experiences with perinatal death reviews in South Africa--the Perinatal Problem Identification Programme: scaling up from programme to province to country.

The Perinatal Problem Identification Programme (PPIP) was designed and developed in South Africa as a facility audit tool for perinatal deaths. It has been used by only a few hospitals since the late 1990s, but since the country's commitment to achieve Millennium Development Goal 4-the use of PPIP is now mandatory for all facilities delivering pregnant mothers and caring for newborns. To date 588 sites, representing 73% of the deliveries captured by the District Health Information System for South Africa, provide data to the national database at the Medical Research Council Unit for Maternal and Infant Health Care Strategies in Pretoria.

Survival of extremely low-birth-weight infants

Objectives. Survival of extremely low-birth-weight (ELBW) infants in a resource-limited public hospital setting is still low in South Africa. This study aimed to establish the determinants of survival in this weight category of neonates, who, owing to limited intensive care facilities, were not mechanically ventilated. Design. A retrospective study in which patient data were retrieved from the departmental computer database. Setting. The neonatal unit at Charlotte Maxeke Johannesburg Academic Hospital, Johannesburg, South Africa. Subjects. Neonates admitted at birth between January 2006 and December 2010 with birth weights of ≤900 g. Outcome measures. Survival at discharge was the major outcome. Maternal variables were age, parity, gravidity, antenatal care, antenatal steroids, place and mode of delivery and HIV status. Neonatal variables were gestational age (GA), birth weight (BW), gender, place of birth, hypothermia, resuscitation at birth, sepsis, necrotising enterocolitis, intraventricular haemorrhage, jaundice, nasal continuous positive airway pressure (NCPAP) with or without surfactant, and Apgar scores. Results. A total of 382 neonates were included in the study. Overall survival was 26.5%. The main causes of death, as per the Perinatal Problem Identification Programme (PPIP) classification, were extreme multi-organ immaturity and respiratory distress syndrome. The main determinants of survival were BW (odds ratio (OR) 0.994; 95% confidence interval (CI) 0.991 - 0.997) and GA (OR 0.827; 95% CI 0.743 - 0.919). Overall the rate of NCPAP use was 15.5%, and NCPAP was not associated with improved survival. Conclusion. Survival of ELBW infants is low. BW and GA were the strongest predictors of survival. Effective steps are required to avoid extreme prematurity, encourage antenatal care, and provide antenatal steroids when preterm birth is anticipated.

Stages of change: A qualitative study on the implementation of a perinatal audit programme in South Africa

BackgroundAudit and feedback is an established strategy for improving maternal, neonatal and child health. The Perinatal Problem Identification Programme (PPIP), implemented in South African public hospitals in the late 1990s, measures perinatal mortality rates and identifies avoidable factors associated with each death. The aim of this study was to elucidate the processes involved in the implementation and sustainability of this programme.MethodsClinicians' experiences of the implementation and maintenance of PPIP were explored qualitatively in two workshop sessions. An analytical framework comprising six stages of change, divided into three phases, was used: pre-implementation (create awareness, commit to implementation); implementation (prepare to implement, implement) and institutionalisation (integrate into routine practice, sustain new practices).ResultsFour essential factors emerged as important for the successful implementation and sustainability of an audit system throughout the different stages of change: 1) drivers (agents of change) and team work, 2) clinical outreach visits and supervisory activities, 3) institutional perinatal review and feedback meetings, and 4) communication and networking between health system levels, health care facilities and different role-players.During the pre-implementation phase high perinatal mortality rates highlighted the problem and indicated the need to implement an audit programme (stage 1). Commitment to implementing the programme was achieved by obtaining buy-in from management, administration and health care practitioners (stage 2).Preparations in the implementation phase included the procurement and installation of software and training in its use (stage 3). Implementation began with the collection of data, followed by feedback at perinatal review meetings (stage 4).The institutionalisation phase was reached when the results of the audit were integrated into routine practice (stage 5) and when data collection had been sustained for a longer period (stage 6).ConclusionInsights into the factors necessary for the successful implementation and maintenance of an audit programme and the process of change involved may also be transferable to similar low- and middle-income public health settings where the reduction of the neonatal mortality rate is a key objective in reaching Millennium Development Goal 4. A tool for reflecting on the implementation and maintenance of an audit programme is also proposed.

Birth asphyxia and perinatal outcome in a low resourced setting in northern KZN

Aim: To identify avoidable factors for birth asphyxia during the antenatal and intrapartum care. Method: All asphyxiated babies born at Lower Umfolozi District War Memorial Hospital (LUDWMH) from November 2010-January 2011 were analysed. Babies with congenital anomalies, congenital infections and extreme prematurity were excluded. Substandard care and avoidable factors were identified and divided into patient-related, healthcare worker-related and administrative associated; and recorded with a coding system similar to that of the Perinatal Problem Identification Programme (PPIP). Results: There were 20 intrapartum asphyxiatedbabies. Analysis of antenatal care showed healthcare worker-related avoidable factors in 20% and patient related avoidable factors in 20%. Analysis of intrapartum care showed healthcare worker related avoidable factors in 40%, administrative avoidable factors in 30% and patient related factors in 20%. The most common patient related factor was a delay in seeking help during labour (25%). The most common health worker related avoidable factor was fetal distress not detected during fetal monitoring. The main administrative problem was a delay in caesarean section due to an inadequate number of staffed theatres (84%). Conclusion: This audit identifies resource deficiencies. Healthcare workers must have regular in-service training and education on fetal monitoring,interpretation and timeous action when an abnormal CTG occurs. The hospital management must be involved in delays in CS due to staff shortages and alternate arrangements made to ensure optimal service delivery at all times. There still exists in our community, a number of women who don’t access healthcare to an appropriate level during pregnancy. Health education for the general public and pregnant women in this area should be emphasised.