Introduction As childhood mortality from infectious diseases falls across sub-Saharan Africa (SSA), the burden of disease attributed to surgical conditions is increasing. However, limited data exist on paediatric surgical outcomes in SSA. We compared the outcomes of five common paediatric surgical conditions in SSA with published benchmark data from high-income countries (HICs).
Methods A multicentre, international, prospective cohort study was undertaken in hospitals providing paediatric surgical care across SSA. Data were collected on consecutive children (birth to 16 years), presenting with gastroschisis, anorectal malformation, intussusception, appendicitis or inguinal hernia, over a minimum of 1 month, between October 2016 and April 2017. Participating hospitals completed a survey on their resources available for paediatric surgery.
The primary outcome was all-cause in-hospital mortality. Mortality in SSA was compared with published benchmark mortality in HICs using χ2 analysis. Generalised linear mixed models were used to identify patient-level and hospital-level factors affecting mortality. A p<0.05 was deemed significant.
Results 1407 children from 51 hospitals in 19 countries across SSA were studied: 111 with gastroschisis, 188 anorectal malformation, 225 intussusception, 250 appendicitis and 633 inguinal hernia. Mortality was significantly higher in SSA compared with HICs for all conditions: gastroschisis (75.5% vs 2.0%), anorectal malformation (11.2% vs 2.9%), intussusception (9.4% vs 0.2%), appendicitis (0.4% vs 0.0%) and inguinal hernia (0.2% vs 0.0%), respectively. Mortality was 41.9% (112/267) among neonates, 5.0% (20/403) in infants and 1.0% (7/720) in children. Paediatric surgical condition, higher American Society of Anesthesiologists score at primary intervention, and needing/receiving a blood transfusion were significantly associated with mortality on multivariable analysis.
Conclusion Mortality from common paediatric surgical conditions is unacceptably high in SSA compared with HICs, particularly for neonates. Interventions to reduce mortality should focus on improving resuscitation and timely transfer at the district level, and preoperative resuscitation and perioperative care at paediatric surgical centres.
- child health
Data availability statement
Once published, the full anonymous, de-identified patient and hospital datasets will be made publicly available via the Centre for Open Science website: https://osf.io/72pkj/.
This is an open access article distributed in accordance with the Creative Commons Attribution 4.0 Unported (CC BY 4.0) license, which permits others to copy, redistribute, remix, transform and build upon this work for any purpose, provided the original work is properly cited, a link to the licence is given, and indication of whether changes were made. See: https://creativecommons.org/licenses/by/4.0/.
Statistics from Altmetric.com
If you wish to reuse any or all of this article please use the link below which will take you to the Copyright Clearance Center’s RightsLink service. You will be able to get a quick price and instant permission to reuse the content in many different ways.
What is already known?
1.7 billion children worldwide do not have access to safe, affordable, timely surgical care when needed.
Emergency abdominal surgical outcomes in children are poor in low-income and middle-income countries, compared with high-income countries (HICs), globally.
Sub-Saharan Africa (SSA), where up to 50% of the population are children, has the greatest burden of surgical disease, but limited data exist on paediatric surgical management and outcomes in the region.
What are the new findings?
In a prospective cohort study of 1407 children presenting to 51 hospitals in 19 low-income and middle-income countries across SSA, the mortality from common paediatric surgical conditions was significantly higher than reported in HICs.
The majority of deaths occurred in neonates.
Mortality was associated with indicators of poor systemic condition at presentation to the paediatric surgery centre and at the time of primary intervention.
What do the new findings imply?
Mortality from common paediatric surgical conditions is unacceptably high in SSA compared with HICs, particularly for neonates.
Sustainable Development Goal 3.2 to ‘end preventable deaths in neonates and children under 5 by 2030’ is unachievable without urgent action to improve access to quality paediatric surgical care in SSA.
Interventions to reduce mortality should focus on improving resuscitation and timely transfer at the district level, and preoperative resuscitation and perioperative care at paediatric surgical centres.
The global focus on reducing childhood mortality from infectious diseases is reflected in improved outcomes.1 However, lack of focus on surgical diseases in children means the proportion of deaths attributed to surgical conditions is increasing.1–3 Globally, 1.7 billion children do not have access to safe, affordable, timely surgical care when needed.2 Sub-Saharan Africa (SSA), where up to 50% of the population are children, has almost one-third of the worlds burden of surgical disease and half of the worlds under-5 deaths.4–6 A population-based study in Uganda highlighted that almost one-third of childhood deaths resulted from surgical conditions.7 Current evidence from SSA on paediatric surgical outcomes comes mainly from single-institutions, small case series and retrospective reviews. Multicentre, multinational prospective data are lacking.8
This study sought to address this gap by collecting prospective data from hospitals providing paediatric surgical care across SSA on five of the most common paediatric surgical conditions in the neonatal, infant and childhood periods: gastroschisis, anorectal malformation (ARM), intussusception, appendicitis and inguinal hernia. Gastroschisis is one of the most common congenital anomalies with a rising global incidence. An international survey estimated many paediatric surgical centres in SSA have a mortality of 75%–100% from gastroschisis, compared with under 25% in high-income countries (HICs).9–12 Associated anomalies are rare in neonates with this condition and in HICs the vast majority live a full life with minimum disability. ARM, also known as imperforate anus, is one of the most frequent neonatal surgical emergencies presenting to hospitals in SSA with a mortality up to 20% in Nigeria compared with 3% in HICs.13–15 Intussusception is the leading cause of intestinal obstruction in children, typically infants, with reported mortality rates of 9.4% in SSA compared with 0.1% in Europe.16 Appendicitis is one of the the most common causes of acute abdomen in children worldwide. Research from SSA suggests deaths (extremely rare in HICs) still occur, and morbidity is high.17–19 Inguinal hernia repair is the most commonly performed paediatric operation worldwide; morbidity is low in HICs and mortality close to nil.20 Reports from SSA suggest delayed treatment and limited care facilities result in preventable deaths and disability.21
The study aim was to collect mortality and morbidity outcomes data for neonates and children presenting with these common paediatric surgical conditions to paediatric surgical centres across SSA, to compare mortality with published HIC benchmark data, and to identify factors associated with mortality that could be modified to improve survival.
Study design and participants
A multicentre, international prospective cohort study was undertaken at paediatric surgery centres across SSA. Healthcare professionals involved in the care of children with the study conditions in SSA, including surgeons, anaesthetists and allied health professionals, were invited to participate in the study through professional organisations, conference presentations, social media and designated ‘Country Leads’. At each participating hospital, data was collected by one or more teams, consisting of up to three local investigators per team, over 1-month or multiple 1-month study periods between October 2016 and April 2017. During each month of study participation, prospective data were collected on consecutive patients, under the age of 16 years, presenting for the first time with gastroschisis, ARM, intussusception, appendicitis and inguinal hernia. This included patients managed operatively and non-operatively for gastroschisis, ARM, intussusception and appendicitis. Children with an inguinal hernia required an operation to be included because, unlike the other conditions, patients can present electively and surgery is the only definitive intervention. Patients who had previously been operated and re-presented with complications or requiring further surgery were excluded.
Data were collected on patient demographics, condition on arrival, perioperative resuscitation and care, surgical intervention and outcomes (online supplemental appendix methods 1) using Research Electronic Data Capture (REDCap).22 Data collection consisted of generic variables, relevant to all the study conditions, and condition specific variables. Patients were followed up until discharge and 30 days post-intervention where locally feasible. The study protocol and data collection form were available in English, French and Portuguese. A pilot study was undertaken at five hospitals to optimise the study design and data collection. Data entered into REDCap was assessed for congruency and completeness. Local investigators were individually contacted for clarification of any discrepancies, and to complete missing data.
Local investigators were asked to complete a survey on the resources available for paediatric surgery at their hospital. This contained four categories: (1) personnel, (2) infrastructure, (3) procedures, (4) anaesthesia and resuscitation (online supplemental appendix methods 2). This was developed through modification of the PediPIPES institutional capacity assessment survey with a reduced number of questions for feasibility and to reflect the conditions being studied.23 ,24
The primary outcome was all-cause in-hospital mortality. For patients still in hospital, a 30-day post primary intervention mortality was used (including operative and non-operative interventions). Secondary outcomes included surgical site infection, wound dehiscence, need for unplanned re-intervention, length of hospital stay and 30-day post primary intervention mortality.
We aimed to include a minimum of 50 hospitals (online supplemental appendix methods 3). Differences between all-cause, in-hospital mortality in SSA and expected mortality from published HIC benchmark data were compared using χ2 analysis or Fisher’s exact test if less than five patients per group. Results are presented with 95% CI. HIC benchmark studies were selected based on the most representative population and largest sample size at the time of protocol development (online supplemental appendix table 1).10 15 16 20 25 HIC gastroschisis mortality of 2.0% (6/302) within the neonatal period, was reported in a UK national ‘whole population’ cohort study.10 ARM HIC mortality of 2.9% (12/410) was reported from a case-series in Finland (270 high ARM; 140 low ARM).15 The HIC intussusception mortality of 0.2% (18/9186) constitutes a meta-analysis of ‘case-fatality among children hospitalised with intussusception’ in Australia, Europe, New Zealand and USA.16 Paediatric appendicitis mortality of 0.004% (1/24 665) in HICs, is from a meta-analysis of three hospital based studies in Canada, UK and USA containing both paediatric and general surgeon operators.25 HIC paediatric inguinal hernia mortality of 0% (0/6361) was reported from a 35-year case-series in Canada.20
A generalised linear mixed model (GLMM) with a binomial family specification and random intercept for hospitals was used to identify patient-level factors associated with all-cause in-hospital mortality for the three study conditions with highest mortality: gastroschisis, ARM and intussusception. A second GLMM was used to identify both patient-level and hospital-level factors associated with mortality for these three conditions combined. Variables significantly associated with mortality at univariable analysis (p<0.05) were included in the multivariable models, with adjustment for confounders: paediatric surgical condition, weight and American Society of Anesthesiologists (ASA) score. Exploratory analyses involved univariable analysis (including a random intercept for hospitals) of factors associated with all-cause, in-hospital mortality for gastroschisis, ARM and intussusception, individually. Multivariable analysis was not possible for the individual conditions due to low event rates per variable.
To facilitate analysis, hospital variables within each of the four domains (personnel, infrastructure, procedures and anaesthesia/resuscitation) were categorised into low, medium or high availability. For each hospital, the number of paediatric surgeons per population of children was calculated using the reported number of paediatric surgeons and population served in the hospital survey, and a published mean proportion of children in the SSA population of 43%.26 We used the IQR to categorise personnel availability as follows: low, <0.2 paediatric surgeons per 1 000 000 children; medium, ≥0.2 and <1.5 paediatric surgeons per 1 000 000 children; high, ≥1.5 paediatric surgeons per 1 000 000 children. For the infrastructure, procedures and anaesthesia/resuscitation domains, each variable was categorised as ‘Always available’ or ‘Sometimes or never available’. Each domain was then categorised as follows: low, indicating 30% or less of the variables within the domain were ‘always available’; medium, indicating between 31% and 69% of the variables within the domain were ‘always available’; high, indicating 70% or more of the variables within the domain were ‘always available’. Since a number of collaborators had independently completed the survey at each hospital, the mean for each variable was used for categorisation and analysis.
Ten per cent of study hospitals were randomly selected to validate patient data. A local investigator, who did not participate in the original data collection, but also cared for the study patients, was asked to independently collect data on all eligible patients presenting during 1 month of the study. Cohen’s kappa coefficient was used to evaluate the level of agreement between the main study and validation datasets. The validating investigator was asked to confirm how many eligible patients presented during the study period to determine if any were missed. A validation survey was undertaken by all local investigators at validating hospitals regarding the quality of the patient data. The hospital data were validated by analysing the level of agreement between local investigators independently completing the survey from the same hospital. Interclass correlation coefficients were used because the number of survey respondents per hospital was not consistent. Observed agreement was also reported.
Analyses were undertaken in Stata V.14, Stata V.15, R V.4.0 and SAS V.9.4. A p<0.05 was deemed significant.
Patient and public involvement
Patients and public were not involved in the design of the study. However, patient support groups (One in 5000 Foundation and CDH International) are assisting in the dissemination of the findings.27 28
Patient characteristics and exposures
Data were collected on 1407 children from 51 hospitals across 19 countries in SSA (figures 1 and 2): 111 patients with gastroschisis (7.9%), 188 with ARM (13.4%), 225 with intussusception (16.0%), 250 with appendicitis (17.8%) and 633 with inguinal hernia (45.0%). The data were collected over 75 one-month study periods. The median number of months of data collection per hospital was 1 month (range 1–4). The patient characteristics and perioperative management relevant to all conditions are presented in table 1. The condition-specific patient characteristics and management are reported in the online supplemental appendix tables 2a–e.
Few neonates with gastroschisis were diagnosed antenatally (n=5 (4.5%)) or born at the study hospital (n=8 (7.3%)). They frequently arrived without health service transportation (n=50 (45.5%)). Most presented on day 1 of life (IQR 1–2), but many were already septic (n=60 (54.5%)), hypovolaemic (n=64 (57.7%)) and hypothermic (n=84 (75.7%)). Similarly, there were high rates of sepsis at presentation for patients with ARM, intussusception and appendicitis (n=41 ((21.9%), n=102 (45.3%) and n=140 (56.0%), respectively) with median times to presentation of 3–5 days. ASA scores at primary intervention were high (3 or above), particularly in patients with gastroschisis, ARM and intussusception (n=63 (63.6%), n=41 (23.7%) and n=76 (35.2%), respectively) and a high proportion required blood transfusions (n=23 (29.7%), n=39 (21.1%) and n=91 (40.5%), respectively). Surgical pathology was frequently advanced: 31 (27.9%) patients with gastroschisis were complex, 118 (52.4%) patients with intussusception had a contraindication to non-operative management and 140 (57.1%) patients with appendicitis had perforated. In contrast, patients with an inguinal hernia had lower ASA scores (3% ASA 3–5). Of the 633 patients with an inguinal hernia, 59 (9.3%) were complicated (57 (9.0%) incarcerated, obstructed or strangulated and 2 (0.3%) fistulated).
Deficiencies in primary resuscitation were identified: 19 (22.6%) hypothermic neonates with gastroschisis were not warmed, while 20 (11.4%) patients with intussusception and 13 (7.7%) patients with appendicitis were not given intravenous fluids for sepsis or hypovolaemia prior to surgical intervention. Ventilation was not available when required for 36 (32.4%) patients with gastroschisis and 60 (32.0%) with ARM. 85 (76.6%) patients with gastroschisis had no or insufficient parenteral nutrition. Some patients with gastroschisis, ARM and intussusception were palliated without a surgical intervention (n=20 (18.2%), n=7 (3.8%) and n=7 (3.1%), respectively). Minimally invasive or non-operative techniques were used infrequently: 25 (10.0%) of patients with appendicitis were managed laparoscopically and 58 (25.8%) patients with intussusception had an air enema or hydroenema reduction (successful in 40 (69.0%)). Of patients undergoing laparotomy for intussusception, 63 (35.6%) underwent manual reduction only. Management of gastroschisis and ARM varied widely.
Forty-eight (94%) participating hospitals provided survey data regarding their availability of paediatric surgical resources (table 2).
The majority of hospitals had between one to three consultant paediatric surgeons for paediatric and neonatal surgery (n=30 (65%) and n=33 (72%) hospitals, respectively). Paediatric and neonatal intensive care were reliably available at just 14 (29%) and 17 (35%) hospitals, respectively. Only 14 (29%) hospitals had reliable access to parenteral nutrition. Central venous access was consistently available in only 16 (33%) hospitals for children and 14 (29%) hospitals for neonates. Reliable availability of specialist equipment was also limited: preformed silo use for gastroschisis (n=11 (23%) hospitals), air or hydroenema reduction for intussusception (n=14 (29%) and n=10 (21%) hospitals, respectively) and laparoscopic appendicectomy (n=9 (19%) hospitals). An anaesthetic doctor (including all levels of training) was available to undertake paediatric anaesthesia at 34 (71%) hospitals and neonatal anaesthesia at 17 (35%) hospitals.
An additional 23 hospitals (online supplemental appendix figure 1) provided survey data without patient data. Hospital characteristics were compared between these 23 hospitals and the 48 hospitals in the study using χ2 statistics and no differences were found at p<0.10.
There was a significant disparity in mortality between SSA and HICs for all paediatric surgical conditions: gastroschisis (75.5% vs 2.0%, p<0.0001), ARM (11.2% vs 2.9%, p<0.0001), intussusception (9.4% vs 0.2%, p<0.0001), appendicitis (0.4% vs 0.004%, p=0.02) and inguinal hernia (0.2% vs 0.0%, p=0.008), respectively (figure 3).10 15 16 20 25 Mortality was highest among neonates (112/267, 41.9%), followed by infants (20/403, 5.0%) and children (7/720, 1.0%) (online supplemental appendix table 3).
Secondary outcomes are detailed in table 3. Eleven patients with ARM and one patient with an inguinal hernia died following discharge within 30-days of primary intervention. Hence, the 30-day post-primary intervention mortality for these conditions in SSA was 17.0% and 0.3%, respectively. Condition specific complications are detailed in online supplemental appendix tables 2a to 2e and patient follow-up in online supplemental appendix table 4.
On multivariable analysis of patients with gastroschisis, ARM and intussusception combined (generic patient variables only), the following were significant predictors of mortality (OR (95% CI), p value): ARM vs gastroschisis (0.07 (0.02 to 0.18), <0.001), intussusception versus gastroschisis (0.03 (0.01 to 0.10), p<0.001), ASA score 3–5 vs 1–2 at primary intervention (3.91 (1.74 to 8.79), p=0.001), receiving a blood transfusion (3.72 (1.59 to 8.68), p=0.002) and not receiving anaesthesia due to no surgical intervention (10.48 (2.07 to 52.97), p=0.004) (online supplemental appendix table 5). In the second multivariable model incorporating hospital-level factors, the same patient-level factors remained significant; no hospital factors were significant.
On univariable analysis of patients with gastroschisis, ARM and intussusception, individually, the generic variables significantly associated with mortality reflect those identified in the multivariable model of all three conditions combined (online supplemental appendix tables 6-8). Condition-specific variables associated with a higher mortality were (OR (95% CI), p value): complex gastroschisis (4.39 (1.12 to 17.20), p=0.034) and hypovolaemia on arrival (7.84 (1.96 to 31.34), p=0.004) for patients with gastroschisis; sepsis on arrival (8.55 (2.89 to 25.34), p<0.001) and electrolyte disturbance (29.94 (6.31 to 142.05), p<0.001) and sepsis (22.20 (5.05 to 97.68), p<0.001) within 30 days of surgery, for patients with ARM; and sepsis on arrival (14.59 (3.10 to 68.70), p=0.001) and shock (8.98 (2.21 to 36.50), p=0.002) for patients with intussusception. Not having associated anomalies (0.24 (0.08 to 0.73), p=0.012) and not requiring ventilation (0.24 (0.07 to 0.82), p=0.022) were associated with a lower mortality for patients with ARM. Higher procedure score was associated with a lower mortality for gastroschisis (0.16 (0.34 to 0.84), p=0.031); no hospital-level variables were significantly associated with mortality for ARM and intussusception.
Validation of the patient-level data showed very good agreement (observed agreement 94%; median kappa statistic 0.96) between the main study and validation datasets (online supplemental appendix table 9). Validating investigators only identified one patient (with an inguinal hernia) who was eligible for study inclusion, but not included. The validation survey identified the following variables as higher risk for inaccuracy: gestational age, distance from home to hospital, and time from arrival to intervention (online supplemental appendix table 10). Validation of the hospital data showed fair agreement between investigators independently completing the survey at each hospital (observed agreement 75%; median interclass correlation coefficient 0.58) (online supplemental appendix table 11).
This multicentre, multinational prospective cohort study highlights significantly higher mortality rates for common paediatric surgical conditions in SSA compared with published benchmark mortality rates in HICs, particularly for neonates. The disparity in mortality was greatest in patients with gastroschisis (75.5% vs 2.0%), ARM (11.2% vs 2.9%) and intussusception (9.3% vs 0.2%), respectively. Correspondingly, overall mortality was highest among neonates (41.9%) compared with infants (5.0%) and children (1.0%). These results are consistent with the GlobalSurg Study on emergency abdominal surgery outcomes, which also reported much higher mortality rates in neonates (18%–24%) compared with infants (9%) and children (1%–4%) in low-income and middle-income countries (LMICs), globally.29 Our findings align with a systematic review of neonatal surgical outcomes in SSA, which reported an overall mortality of 31.8%, and over 50% mortality for emergency neonatal surgery involving gastrointestinal congenital anomalies such as gastroschisis.8
Congenital anomalies have recently risen to become the fifth-leading cause of death in children under 5 globally (half a million annual deaths) and 11th leading cause of years of life lost for the global population.3 30 A recent study from Ghana highlighted that congenital anomalies accounted for 87% of neonatal surgical cases and 96% of deaths; two-thirds of the congenital anomaly deaths were in conditions involving the gastrointestinal tract.31 It is estimated that two-thirds of the deaths and disability from congenital anomalies can be prevented through surgical care.32 However, improving neonatal surgical care has received little global focus or action to date.33 Deaths from congenital anomalies fell very little from 2005 to 2015 (-3.2%) compared with the other leading causes of under 5 mortality (−25.9% preterm birth, −16.1% neonatal encephalopathy, −36.9% lower respiratory infections, −34.3% diarrhoeal diseases, −42.8% malaria).3 Sustainable Development Goal (SDG) 3.2 aims to ‘end preventable deaths in neonates and children under 5 by 2030’.34 The high mortality among neonates with congenital anomalies in this study, and in the systematic review of neonatal surgical outcomes in SSA, highlight the urgent need to target improvements in neonatal surgical care for this to be achieved.
Higher ASA score at primary intervention, needing/receiving a blood transfusion and paediatric surgical condition, were significantly associated with mortality on multivariable analysis of generic variables related to patients with gastroschisis, ARM and intussusception. Exploratory analysis of the condition-specific variables for the individual conditions, although only univariable and hence less robust, provides some further insights; higher mortality was significantly associated with having complex gastroschisis and hypovolaemia on arrival for patients with gastroschisis, and sepsis on arrival for patients with ARM and intussusception. Indeed, the high proportion of patients presenting with sepsis, hypovolaemia and other indicators of advanced disease severity, account for the large proportion of patients with high ASA scores at primary intervention. Some deficiencies were also identified in preintervention resuscitation which may also impact on the ASA score. The surgical condition determines how quickly clinical deterioration can progress without appropriate care. Patients with gastroschisis deteriorate most rapidly due to the large surface area of exposed bowel resulting in hypothermia, hypovolaemia and sepsis, within hours if plastic bowel coverage and resuscitative measures are not instigated at birth.35 Hence, interventions to improve outcomes must focus on improving resuscitation and timely referral/transportation at the district level, and preintervention resuscitation and perioperative care at paediatric surgery centres. This aligns with recommendations by Kruk et al that to achieve improved outcomes in the SDG era, enhancing access to services must be accompanied by improved quality of care within facilities.36–38 Studies from individual paediatric surgical centres in SSA have reported similar findings and conclusions.39
The hospital survey highlighted numerous deficiencies in resources required to provide high-quality paediatric surgical care; less than a third of hospitals had ventilation, parenteral nutrition and central intravenous access facilities for neonates. Our findings are consistent with those of the PediPIPES hospital survey undertaken in West Africa which reported that over half of the hospitals had less than three paediatric surgeons, half had no neonatal or paediatric intensive care, life-saving equipment such as apnoea monitors were deficient, and minimally invasive interventions such as non-operative reduction of intussusception were frequently unavailable.40 Interestingly, we found that hospital-level factors were not significantly associated with mortality on multivariable analysis. This may be related to insufficient patient numbers, but also may mirror other studies highlighting that resources alone do not determine outcomes; it is the actions undertaken by an effective workforce using the available resources, that result in improved care.36 41 Indeed, higher procedure availability, incorporating both skilled healthcare personnel and resources, was associated with lower mortality on univariable analysis for patients with gastroschisis.
The Global Initiative for Children’s Surgery (GICS) provides a framework for improving children’s surgical care and outcomes in LMICs within four main domains: infrastructure, service delivery, training and research.42 GICS has produced the Optimal Resources for Children’s Surgery guidelines detailing what is required within each domain at every level of healthcare.43 This has recently been used alongside a paediatric modified WHO assessment tool to help integrate children’s surgical care into the Nigerian National Surgical, Obstetric and Anaesthetic Plan (NSOAP).44 45 This can be used as a template for other SSA countries and LMICs globally, to include children’s surgical care within National Health Plans. Government engagement and investment will be essential to ensure implementation of NSOAPs and ultimately improved surgical outcomes.46 This study highlights the importance of ensuring neonatal surgical care is a key focus of these plans as it is where a large proportion of the mortality burden lies.
International and local partnerships can help support the government with specific NSOAP goals. For example, the KidsOR Charity is investing in building children’s operating facilities, and training paediatric surgeons and anaesthetists, across SSA.47 The hub and spoke model used in India whereby multidisciplinary teams (MDTs) from paediatric surgical centres provide outreach teaching to district hospital teams and create referral networks, is an excellent example of how local partnerships can help to optimise district level care.48 However, to enable fast and safe transfer when needed, this must be coupled with investment into the transport system. In response to the results of this study, a multicentre, multinational interventional study has been funded aimed at reducing mortality from gastroschisis in SSA.49 50 In addition to outreach teaching and establishment of referral networks, it incorporates evidence-based protocolised care at the paediatric surgical centres with a focus on resuscitation at presentation, perioperative care and MDT collaboration; a model that could benefit neonatal and paediatric surgical conditions more broadly.51 Locally sourced parenteral nutrition and low-cost preformed silos were included, highlighting the importance of investing in vital resources alongside workforce interventions.
Further partnerships are required with obstetric teams to optimise antenatal diagnosis and delivery of neonates with congenital anomalies such as gastroschisis, at paediatric surgery centres. Just 4.5% of neonates with gastroschisis were antenatally diagnosed in this study and 7.3% born at a tertiary centre; these interventions, which are standard practice in HICs, would avoid clinical deterioration before reaching paediatric surgical care. Partnerships with existing child health programmes, such as the WHO Every Newborn Action Plan, are required to optimise early recognition, resuscitation and safe transfer of surgical neonates and children at the community and district level.46 52 53 In addition, there is a need for further research into the management and outcomes of a wider selection of congenital anomalies requiring surgical care in SSA, particularly congenital anomalies involving the gastrointestinal tract which are commonly fatal without timely access to quality neonatal surgical care following birth. Following on from this study, the PaedSurg Africa Research Collaboration has been expanded to form the Global PaedSurg Research Collaboration with the first study focused on the management and outcomes of a wider selection of common gastrointestinal congenital anomalies in low, middle and HICs, globally.54
Although this study provides some of the most comprehensive, high-quality, validated paediatric surgical outcome data from SSA, there are limitations. The study covered just 19 of the 48 countries in SSA. However, the sample was reasonably representative containing 9 low-income countries (LICs), 9 lower-middle income countries and 1 upper-middle income country (UMIC) compared with 14 LICs, 9 lower-middle income countries, 4 UMICs and 2 HICs that were not included. All geographical regions (West, East, Central and South Africa) were represented. Nigeria accounted for 644 (45.8%) of the study patients. This reflects the high population in Nigeria (18% of the SSA population) and high number of paediatric surgeons (87 compared with a median of 4/country across SSA).5 The overall 30-day post intervention mortality was 6.2% (40/644) in Nigeria and 13.0% (99/763) among the other 18 countries. Hence, mortality rates for the paediatric surgical conditions across all SSA countries could be slightly higher than reported. Although some countries in chronic conflict, such as the Democratic Republic of the Congo and Sudan were included, the study was not specifically designed to address the unique challenges faced in these regions, which may have an impact on mortality.
There are a number of additional reasons why the mortality and morbidity may be underestimated. Data collection was at an institutional level rather than population level and some patients may have died before reaching the study centres.55 56 In contrast, the hospital data from HICs likely reflects the population mortality due to better access and higher-quality antenatal services, district-level care and transportation. Indeed the HIC comparator mortality rates used may be an overestimate of the current mortality in these regions due to further reductions over time, particularly for the ARM data, which was published in 2008.15 30-day post intervention mortality status was not known for 16.4% patients and hence some deaths following discharge could have been missed, as could complications. A convenience sample of self-selected paediatric surgery centres was used, which could represent the more academic hospitals with better outcomes. Participating hospitals with greater human resource capacity could have been more likely to contribute a greater number of months of data to the study. Bias was minimised by adjusting both the univariable and multivariable analyses for clustering at a hospital level. Patients with appendicitis and inguinal hernia could also be managed at district hospitals where paediatric surgical and anaesthetic expertise are likely lower and less resourced.
For feasibility reasons, the study included just five common paediatric surgical conditions rather than all paediatric surgical cases. Inclusion of gastroschisis in the selection of study conditions, with such a high mortality, may have elevated the overall neonatal mortality in comparison to the broader range of neonatal surgical conditions in SSA. However, our results are similar to the systematic review of all neonatal surgical conditions in SSA.8 In contrast, the true mortality from the broader range of paediatric surgical conditions among children over 1 year of age in SSA may be higher. This is because acute abdomen in children in HICs is mostly related to appendicitis, but in SSA typhoid perforation is also prevalent, with reported mortality of 14.7%.57 To optimise feasibility, data collection was limited to information that would be known to the team caring for the study patients without the need for additional measurements. Hence, variables such as weight-for-length/height z-score to classify nutritional status were not included, but could have an impact on outcomes.
Finally, HIC benchmark data were used as the comparator. The HIC studies selected had reasonable comparability in terms of duration of follow-up, patient population and study setting, however it would be more accurate to compare observed outcomes in SSA directly with HIC outcomes collected simultaneously within the same study. This has been incorporated into our follow-on study, Global PaedSurg, where outcomes from gastrointestinal congenital anomalies will be collected globally.54 The latter will also facilitate collection of larger sample sizes to provide greater insights into factors affecting mortality that can be modified to improve outcomes.
This study highlights unacceptably high mortality from common paediatric surgical conditions in SSA compared with HICs, particularly for neonates. It provides data to support the assertion that SDG 3.2 to end preventable deaths in neonates and children under 5 by 2030 will not be achieved without global focus, considerable investment and action to improve paediatric surgical care in SSA.
Data availability statement
Once published, the full anonymous, de-identified patient and hospital datasets will be made publicly available via the Centre for Open Science website: https://osf.io/72pkj/.
Patient consent for publication
Ethical approval was granted by the host institution (Ref: LRS-15/16–2949) and at all participating hospitals.
Thank you to Bolaji Coker and Ruth Owen who managed the REDCap data collection tool at King’s College London.
This web only file has been produced by the BMJ Publishing Group from an electronic file supplied by the author(s) and has not been edited for content.
Handling editor Seye Abimbola
Collaborators Benin Republic: Houessou Gandjehou (Centre Hospitalier Departemental du Zou et des Collines), Ebassa Karl (National Teaching Hospital, University of Abomey-Calari, Cotonou). Botswana: Goutam Chowdhury (University of Botswana). Gambia: Alagie Manneh (Edward Francis Small Teaching Hospital, Banjul). Ghana: Michael Amoah, Boateng Nimako (Komfo Anokye Teaching Hospital, Kumasi). Kenya: Allan Kochi (Coast General Hospital, Mombasa), Rashmi Kumar, Intisar Hisham (Kenyatta National Hospital, University of Nairobi), Connie Keung, Robert Kuremu (Moi University, Eldoret). Madagascar: Heuric Rakotomalala (Bethany Kids Hospital). Niger: Habou Oumarou (Université de Zinder). Nigeria: Okafor David (Federal Teaching Hospital, Abakaliki, Ebonyi State), Faruk A Suleiman (Federal Teaching Hospital, Gombe), Faturoti Olubukola (General Hospital Lagos Island), Innocent Igwilo (Imo State Specialist Hospital, Owerri), Alwanlehi Eighemhenrio (Irrua Specialist Teaching Hospital, Irrua, Edo State), Andrew Shitta (Jos University Hospital), Musa Ibrahim Zarenawa (Murtala Muhammed Specialist Hospital, Kano), Iyekeoretin Evbuomwan (University of Benin Teaching Hospital, Benin City), Wabada Samuel (University of Maiduguri Teaching Hospital). Rwanda: Emmanuel Kayibanda (King Faisal Hospital, Kigali), Ainhoa Costas-Chavarri, Joseph Lule (Rwanda Military Hospital, Kigali). Somaliland: Riikka Valjakka (Boroma Regional Hospital, Awdal Region). Uganda: Anne Wesonga (Hoima Regional Referral Hospital).
Contributors Author Contributions: Naomi J Wright (Principal Investigator and Study Guarantor) conceived the study, designed, wrote and registered the protocol, gained ethical approval, designed the data collection tool, established the PaedSurg Africa Research Collaboration, co-ordinated data collection and validation, undertook data analysis, write-up and dissemination. Niyi Ade-Ajayi, Emmanuel Ameh, Kokila Lakhoo, Dan Poenaru and Andrew JM Leather (Steering and Writing Committee) provided critical input and revisions to the study design, protocol, data collection and validation tools, data analysis and write-up. Taiwo Akeem Lawal, Justine Seyi-Olajide and Stephen Tabiri also contributed as writing committee members. Emily Rose Smith and Alessandra Bisquera undertook data analysis, validation and interpretation, and contributed to the manuscript write-up. Lawal Abdullahi, Elisee Bake, Jacques Fadhili Bake, Bernadette Béré, Nwokoro Collins, Sharon Cox, Bertille Ki, Luc Malemo, Aminu Mohammad, Aberibigbe M.O. Shonubi, Albert Wandaogo (Lead Investigators) undertook pilot studies of the data collection tools and validation tools; provided feedback and critical input to the study design; and contributed to the write-up and dissemination of findings. All were also Local Investigators. Anyanwu Lofty John Chukwuemeka, Sharon Cox, Bip Nandi, Daniel Sidler, Stephen Tabiri (Country Leads) recruited local investigators from across their country and other countries in sub-Saharan Africa and provided support and guidance to Local Investigators, particularly with gaining ethical approval. Local investigators recruited and co-ordinated a local team or several mini-teams of researchers; used the study protocol to gain local ethical approval; selected patients for study inclusion and undertook patient consent when required; collected and uploaded data to REDCap electronic data capture software; ensured complete and accurate datasets without duplications; completed a survey regarding local resources available for paediatric surgical care; and disseminated the results through local, national and international presentations. 10% of centres participated in data validation. All authors read the manuscript, contributed revisions as required and approved the final manuscript. Collaborator Contributions: Study collaborators completed a survey regarding their local resources for paediatric surgical care and participated in dissemination of the study results through local, national and international conference presentations.
Funding This study was funded by the Royal College of Surgeons (RCS) of England. Naomi J Wright currently receives funding from the Wellcome Trust to undertake a Clinical PhD in Global Health at King’s Centre for Global Health and Health Partnerships, King’s College London (Funder Reference: 203905/Z/16/Z). Andrew Leather receives funding from the NIHR Global Health Research Unit on Health System Strengthening in Sub-Saharan Africa, King’s College London (GHRU 16/136/54) and by the ASPIRES research programme in LMICs (Antibiotic use across Surgical Pathways—Investigating, Redesigning and Evaluating Systems), funded by the Economic and Social Research Council. The views expressed are those of the authors and not necessarily those of the RCS, Wellcome Trust, the NIHR or the Economic and Social Research Council. The funder had no role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; preparation, review, or approval of the manuscript; and decision to submit the manuscript for publication.
Map disclaimer The depiction of boundaries on this map does not imply the expression of any opinion whatsoever on the part of BMJ (or any member of its group) concerning the legal status of any country, territory, jurisdiction or area or of its authorities. This map is provided without any warranty of any kind, either express or implied.
Competing interests None declared.
Provenance and peer review Not commissioned; externally peer reviewed.
Author note Principal investigator (PI) and study guarantor: Naomi Wright (King’s College London, UK). Steering committee: Niyi Ade-Ajayi (King’s College Hospital, UK), Emmanuel Ameh (National Hospital, Abuja, Nigeria), Kokila Lakhoo (Oxford University Hospitals, UK), Dan Poenaru (McGill University, Montreal, Canada), Andrew JM Leather (King’s College London, UK). Data analysis: Emily Rose Smith (Baylor University, Texas, USA), Alessandra Bisquera (King’s College London, UK) and PI. Writing committee: Anyanwu Lofty John Chukwuemeka (Aminu Kano Teaching Hospital, Nigeria), Taiwo Akeem Lawal (University College Hospital, Ibadan, Nigeria), Justine Seyi-Olajide (Lagos University Teaching Hospital), Stephen Tabiri (Tamale Teaching Hospital, Ghana), PI, steering committee and data analysis teams. Lead investigators: Aminu Mohammad, Lawal Abdullahi (Aminu Kano Teaching Hospital, Nigeria), Bertille Ki, Albert Wandaogo, Bernadette Béré (Charles De Gaulle Pediatric University Teaching Hospital, Ouagadougou), Luc Malemo, Elisee Bake (HEAL Africa Hospital, Democratic Republic of the Congo), Nwokoro Collins, Aberibigbe M. O. Shonubi (Olabisi Onabanjo University Teaching Hospital, Nigeria), Sharon Cox (Red Cross War Memorial Children’s Hospital, South Africa). Country leads: Anyanwu Lofty John Chukwuemeka (Aminu Kano Teaching Hospital, Nigeria), Sharon Cox (Red Cross War Memorial Children’s Hospital, South Africa), Bip Nandi (Kamuzu Central Hospital, Malawi), Daniel Sidler (Tygerberg Hospital, South Africa). Local investigators: Benin Republique: Houégban Romeo, Gbenou Antoine Seraphin, Eugene Zoumenou (Centre Hospitalier Universitaire de la Mère et de l'Enfant, Cotonou). Burkina Faso: Bernadette Béré, Bandré Emile, Bertille Ki, Tapsoba W. Toussaint, Albert Wandaogo, Kabre Yvette (Charles De Gaulle Pediatric University Teaching Hospital, Ouagadougou). Cote D’ivoire: Rouma Bankole, Manuela Ehua, Agbara Kouame, Moulot Olivier (Teaching Hospital Treichville, Abidjan), Nandiolo Rose (University Hospital De Bouaké). Democratic Republic of the Congo: Jacques Fadhili Bake (HEAL Africa Hospital, Goma). Ethiopia: Mesay Hailemariam Asfaw, Miliard Derbew, Gudeta Didi, Hanna Getachew, Woubedil Kiflu, Samuel Negash, Tihitiena Negussie, Amezene Tadesse, Fiseha Temesgen (Tikur Anbessa Specialized Hospital, Addis Ababa). Ghana: William Appeadu-Mensah, Afua Hesse, Samuel Osei-Nketiah (Korle Bu Teaching Hospital, Accra), Francis Atidana Abantanga, Emmanuel Owusu Abem, Theophilus Teddy Kojo Anyomih, Adakudugu Ida, Osman Imoro, Martin Kyere, Anwar Sadat Seidu, Stephen Tabiri, Paul M. Wondoh (Tamale Teaching Hospital). Kenya: Thomas Kirengo (Embu Level 5 Hospital), Michael Ganey, Michael Mwachiro, Robert K Parker, Sinkeet Ranketi (Tenwek Hospital, Bomet). Malawi: Bitiel Banda, Caroline Melhado, Bip Nandi (Kamuzu Central Hospital, Lilongwe), Eric Borgstein, Mohakhelha Nyamulani, Emma Thomson, Johannes Verweij (Queen Elizabeth Central Hospital, Blantyre). Niger: Moustapha Helle (Niamey National Hospital). Nigeria: Emmanuel Ameh, Paschal Anyanwu, Matthias Igoche (Abuja National Hospital), Elizabeth Ogboli-Nwasor, Baba Suleiman, Sholadoye Tunde Talib (Ahmadu Bello University Teaching Hospital, Zaria), Mustapha Abdulazeez, Lawal Abdullahi, Farinyaro Aliyu, Aminu Mohammad, Aliyu Mohammed (Aminu Kano Teaching Hospital), Bassey Edem, Terlumun Patrick, Charles Soo (Benue State University Teaching Hospital), Akinlabi Emmanuel Ajao, Olayemi Anthony Ajiboye, Michael Abel Alao (Bowen University Teaching Hospital, Ogbomoso), Odion-obomhense kesiena Helen (Delta state university teaching hospital Ogharra, Delta state), Opeoluwa Adesanya, Adenike Odewabi, Anuoluwapo Aremo (Federal Medical Centre, Abeokuta), Taiwo Jones Olaoluwa, Odi Temitope (Federal Medical Centre, Lokoja), Kayode Bamigbola, Uduehe Enono E. (Federal Medical Centre, Owo, Ondo State), Olalekan Ajai, Omolara Faboya, Abdulsalam Moruf, Roland I Osuoji, Omolara M. Williams (Lagos State University Teaching Hospital), Fatuga Adedeji, Adesoji Ademuyiwa, Felix Alakaloko, Christopher Bode, Ihediwa Chibuike, Ibironke Desalu, Olumide Abiodun Elebute, Charles Ememonu, Oluwaseun Ladipo-Ajayi, Sola Kushimo, Justina Seyi-Olajide, Kayode Olayade, Adebambo Olowu, Justine Seyi-Olajide (Lagos University Teaching Hospital), Okechukwu Hyginus Ekwunife, Victor Ifeanyichukwu Modekwe, Obiechina Sylvester Okwuchukwu, Ngozi Chidinma Osuji, Ezidiegwu Ugochukwu Stanley, Jideofor Okechukwu Ugwu, Chuka Ifeanyichukwu Ugwunne (Nnamdi Azikiwe University Teaching Hospital, Nnewi, Anambra State), Collins Chijioke Adumah, Oludayo Adedapo Sowande, Ademola Olusegun Talabi (Obafemi Awolowo University Teaching Hospital, Ile Ife), Lukmon Amosu, Nwokoro Collins, Ibukunolu Ogundele, Aderibigbe M. O. Shonubi (Olabisi Onabanjo University Teaching Hospital), Felix Kumolalo (Ondo State Trauma and Surgical Centre), Taiwo Akeem Lawal, Olakayode Ogundoyin, Dare Olulana (University College Hospital, Ibadan), John Chinda, Osagie Olabisi, Samson Olori (University of Abuja Teaching Hospital, Gwagwalada), Stella Eguma, Akan Inyang, Ijeoma Esther Nwachukwu (University of Calabar Teaching Hospital), Nurudeen Toyin Abdulraheem, Lukman O. Abdur-Rahman, James O. Adeniran, Muslimat A. Alada, Abdulrasheed A. Nasir, David C. Nwosu (University of Ilorin Teaching Hospital, Ilorin), Christopher C Amah, Sebastian Okwuchukwu Ekenze, Uchechukwu Obiora Ezomike, Emmanuel I. Nwangwu, Ijeoma C. Obianyo, Nene E Obianyo, Nwankwo Elochukwu Perpetua (University of Nigeria Teaching Hospital, Ituku/ Ozalla, Enugu), Alfred T Aggo, Tobin Maxwell, Philemon Okoro (University of Port Harcourt Teaching Hospital). Republic of Cameroon: James A. Brown, Moses Kasumba, Steve Kyota (Mbingo Baptist Hospital). Somaliland: Joy Robinson (Edna Adan Maternity Hospital). South Africa: Seo-Hwa Chung, Savannah smit, Stephanie Van Straten, Andre Theron (Charlotte Maxeke Johannesburg Academic Hospital), Andrew Grieve, Robert Jaich, Jerome Loveland (Chris Hani Baragwanath Hospital), Charles Carapinha (Clinton Hospital, Johannesburg), Milind Chitnis, Mie Elsen, Nayha Gautam (East London Hospital Complex, Walter Sisulu University), Damian Clarke, Shamaman Harilal, Sanele Madziba, Hansraj Mangray, Reitze Rodseth (Grey's Hospital, Pietermaritzburg Metropolitan Hospital Complex), Sharon Cox, Babalwa Nondela, Toru Shimizu (Red Cross War Memorial Children's Hospital), Roel Matos-Puig, Ria Naidoo, Arasha Thotharam (Stranger Hospital, Kwazulu-Natal), Kondjela Sara Hamunyela, Daniel Sidler, Corne De Vos (Tygerberg Hospital, Stellenbosch University). Sudan: Ali Hamad (Gezira National Center of Paediatric Surgery, Wad-Medania), Abdelbasit E Ali, Enas Musa Ismail (Soba University Hospital, Khartoum). Tanzania: Larry Akoko, Robert Bahati, Zaitun M Bokhary, Yona Ringo (Muhimbili National Hospital, Dar es Salaam), Peter Dattani, Ezekiel Kambona, Silas Msangi (Tumbi Regional Referral Hospital, Kibaha). Togo: Komla Gnassingbé, Hamza Doles Sama (Sylvanus Olympio Teaching Hospitalier, Lome). Uganda: Nasser Kakembo, Phyllis Kisa, Mary T Nabukenya, John Sekabira (Mulago National Referral Hospital, Kampala). Zambia: Bruce Bvulani, Mulewa Mulenga, Emma Lillie, Rae Oranmore-Brown, Hope Phiri, Victoria Simiyu (University Teaching Hospital (UTH) in Lusaka). Zimbabwe: Tungamirai Gwatirisa, Bothwell Mbuwayesango (Harare Central Hospital).
Supplemental material This content has been supplied by the author(s). It has not been vetted by BMJ Publishing Group Limited (BMJ) and may not have been peer-reviewed. Any opinions or recommendations discussed are solely those of the author(s) and are not endorsed by BMJ. BMJ disclaims all liability and responsibility arising from any reliance placed on the content. Where the content includes any translated material, BMJ does not warrant the accuracy and reliability of the translations (including but not limited to local regulations, clinical guidelines, terminology, drug names and drug dosages), and is not responsible for any error and/or omissions arising from translation and adaptation or otherwise.