The ASOS Surgical Risk Calculator: development and validation of a tool for identifying African surgical patients at risk of severe postoperative complications

Gender Disparities in Complications, Costs, and Mortality After Emergency Gastrointestinal Surgery in Kenya

INTRODUCTION

Little is known about the impact of gender on emergency surgery within Kenya. Therefore, we aimed to investigate the association of gender on outcomes of postoperative complications, health care costs, and mortality.

METHODS

We evaluated an established cohort of patients undergoing emergency gastrointestinal surgery in rural Kenya between January 1st, 2016 and June 30th, 2019. Utilizing logistic regression, we examined the association between self-reported patient gender and the outcomes of postoperative complications and mortality. A generalized linear model was created for total hospital costs, inflation-adjusted in international dollars purchasing power parity, to examine the impact of gender. Confounding factors were controlled by Africa Surgical Outcomes Study Surgical Risk Score.

RESULTS

Among 484 patients reviewed, 149 (30.8%) were women. 165 (34.1%) patients developed complications, with women experiencing more than men (40.9% versus 31.0%; P = 0.03) and longer hospital stays (median 6 days (4-9) versus 5 (4-7); P = 0.02). After controlling for Africa Surgical Outcomes Study Surgical Risk Score, odds of developing complications for women were 1.67 (95% confidence interval: 1.09-2.55; P = 0.019) times higher than men, and the odds of death were 2.38 (95% confidence interval: 1.12-5.09; P = 0.025) times greater for women than men, despite similar failure-to-rescue rates and intensive care unit utilization. Total hospital costs were increased for women by 531 international dollars purchasing power parity (117-946; P = 0.012) when compared to men, attributed to longer lengths of stay.

CONCLUSIONS

These findings demonstrate that a discrepancy exists between men and women undergoing emergency gastrointestinal surgery in our setting. Further exploration of the underlying causes of this inequity is necessary for quality improvement for women in rural Kenya.

Perioperative medicine: challenges and solutions for global health

The emerging field of perioperative medicine has the potential to make significant contributions to global health. Perioperative medicine aims to help reduce unmet surgical need, decrease variation in quality and systematically improve patient outcomes. These aims are also applicable to key challenges in global health, such as limited access to surgical care, variable quality and workforce shortages. This article describes the areas in which perioperative medicine can contribute to global health using case studies of successful care pathways, risk prediction tools, strategies for effective grassroots research and novel workforce approaches aimed at effectively using limited resources.

Trainee autonomy and surgical outcomes after emergency gastrointestinal surgery

BACKGROUND

Operative meaningful trainee autonomy is an essential component of surgical training. Reduced trainee autonomy is frequently attributed to patient safety concerns, but this has not been examined within Kenya. We aimed to assess whether meaningful trainee autonomy was associated with a change in patient outcomes.

METHODS

We investigated whether meaningful trainee autonomy was associated with a change in severe postoperative complications and all-cause in-hospital mortality in a previously described cohort undergoing emergency gastrointestinal operations. Each operation was reviewed to determine the presence of meaningful autonomy, defined as "supervision only" from faculty. Comparisons were made between faculty-led cases and cases with meaningful trainee autonomy. Multilevel logistic regression models were created for the outcomes of mortality and complications with the exposure of meaningful trainee autonomy, accounting for fixed effects of the Africa Surgical Outcomes Study Risk Score and random effects of discharge diagnoses.

RESULTS

After excluding laparoscopy (N = 28) and missing data (N = 3), 451 operations were studied, and 343 (76.1%) had meaningful trainee autonomy. Faculty were more involved in operations with older age, cancer, prior complications, and higher risk scores. On unadjusted analysis, meaningful trainee autonomy was associated with mortality odds of 0.32 (95% confidence interval: 0.17-0.58) compared with faculty-led operations. Similarly, the odds of developing complications were 0.52 (95% confidence interval: 0.32-0.84) with meaningful trainee autonomy compared with faculty-led operations. When adjusting for Africa Surgical Outcomes Study Score and clustering discharge diagnoses, the odds of mortality (odds ratio 0.58; 95% confidence interval: 0.27-1.2) and complication (odds ratio 0.83; 95% confidence interval: 0.47-1.5) were not significant.

CONCLUSION

Our findings support that increasing trainee autonomy does not change patient outcomes in selected emergency gastrointestinal operations. Further, trainees and faculty appropriately discern patients at higher risk of complications and mortality, and the selective granting of trainee autonomy does not affect patient safety.

Determining the Minimum Dataset for Surgical Patients in Africa: A Delphi Study

BACKGROUND

It is often difficult for clinicians in African low- and middle-income countries middle-income countries to access useful aggregated data to identify areas for quality improvement. The aim of this Delphi study was to develop a standardised perioperative dataset for use in a registry.

METHODS

A Delphi method was followed to achieve consensus on the data points to include in a minimum perioperative dataset. The study consisted of two electronic surveys, followed by an online discussion and a final electronic survey (four Rounds).

RESULTS

Forty-one members of the African Perioperative Research Group participated in the process. Forty data points were deemed important and feasible to include in a minimum dataset for electronic capturing during the perioperative workflow by clinicians. A smaller dataset consisting of eight variables to define risk-adjusted perioperative mortality rate was also described.

CONCLUSIONS

The minimum perioperative dataset can be used in a collaborative effort to establish a resource accessible to African clinicians in improving quality of care.

Implementation of a Surgical Critical Care Service Reduces Failure to Rescue in Emergency Gastrointestinal Surgery in Rural Kenya

OBJECTIVE

We aimed to evaluate the implementation of a dedicated Surgical critical care service (SCCS) on failure to rescue (FTR) rates in rural Kenya.

SUMMARY BACKGROUND DATA

FTR adversely impacts perioperative outcomes. In the resource-limited contexts of low- and middle-income countries, emergency gastrointestinal surgery carries high morbidity and mortality rates. Quality improvement initiatives that decrease FTR rates are essential for improving perioperative care.

METHODS

All patients who underwent emergency gastrointestinal surgery between January 2016 and June 2019 at Tenwek Hospital in rural Kenya were reviewed. Critical care capabilities were constant throughout the study period. A supervised surgical resident was dedicated to the daily care of critically ill surgical patients beginning in January 2018. The impact of the SCCS initiation on the outcome of FTR was evaluated, controlling for patient complexity via the African Surgical Outcomes Study Surgical Risk Score.

RESULTS

A total of 484 patients were identified, consisting of 278 without and 206 with an active SCCS. A total of 165 (34.1%) patients experienced postoperative complications, including 49 mortalities (10.1%) yielding an FTR rate of 29.7%. The FTR rate decreased after SCCS implementation from 36.8% (95% CI: 26.7%-47.8%) to 21.8% (95% CI: 13.2%-32.6%) ( P = 0.035) despite an increase in the average patient African Surgical Outcomes Study score from 14.5 (95% CI, 14.1-14.9) to 15.2 (95% CI, 14.7-15.7) ( P =0.03).

CONCLUSIONS

The implementation of an SCCS in rural Kenya resulted in decreased rates of FTR despite an increase in patient complexity and severity of critical illness.

Perioperative Risk Assessment in Humanitarian Settings: A Scoping Review

BACKGROUND

No validated perioperative risk assessment models currently exist for use in humanitarian settings. To inform the development of a perioperative mortality risk assessment model applicable to humanitarian settings, we conducted a scoping review of the literature to identify reports that described perioperative risk assessment in surgical care in humanitarian settings and LMICs.

METHODS

We conducted a scoping review of the literature to identify records that described perioperative risk assessment in low-resource or humanitarian settings. Searches were conducted in databases including: PubMed, Embase, Cumulative Index to Nursing and Allied Health Literature, Web of Science, World Health Organization Catalog, and Google Scholar.

RESULTS

Our search identified 1582 records. After title/abstract and full text screening, 50 reports remained eligible for analysis in quantitative and qualitative synthesis. These reports presented data from over 37 countries from public, NGO, and military facilities. Data reporting was highly inconsistent: fewer than half of reports presented the indication for surgery; less than 25% of reports presented data on injury severity or prehospital data. Most elements of perioperative risk models designed for high-resource settings (e.g., vital signs, laboratory data, and medical comorbidities) were unavailable.

CONCLUSION

At present, no perioperative mortality risk assessment model exists for use in humanitarian settings. Limitations in consistency and quality of data reporting are a primary barrier, however, can be addressed through data-driven identification of several key variables encompassed by a minimum dataset. The development of such a score is a critical step toward improving the quality of care provided to populations affected by conflict and protracted humanitarian crises.

Postoperative outcomes associated with surgical care for women in Africa: an international risk-adjusted analysis of prospective observational cohorts

Background

Improving women's health is a critical component of the sustainable development goals. Although obstetric outcomes in Africa have received significant focus, non-obstetric surgical outcomes for women in Africa remain under-examined.

Methods

We did a secondary analysis of the African Surgical Outcomes Study (ASOS) and International Surgical Outcomes Study (ISOS), two 7-day prospective observational cohort studies of outcomes after adult inpatient surgery. This sub-study focuses specifically on the analysis of the female, elective, non-obstetric, non-gynaecological surgical data collected during these two large multicentre studies. The African data from both cohorts are compared with international (non-African) outcomes in a risk-adjusted logistic regression analysis using a generalised linear mixed-effects model. The primary outcome was severe postoperative complications including in-hospital mortality in Africa compared with non-African outcomes.

Results

A total of 1698 African participants and 18 449 international participants met the inclusion criteria. The African cohort were younger than the international cohort with a lower preoperative risk profile. Severe complications occurred in 48 (2.9%) of 1671, and 431 (2.3%) of 18 449 patients in the African and international cohorts, respectively, with in-hospital mortality after severe complications of 23/48 (47.9%) in Africa and 78/431 (18.1%) internationally. Women in Africa had an adjusted odds ratio of 2.06 (95% confidence interval, 1.17-3.62; P=0.012) of developing a severe postoperative complication after elective non-obstetric, non-gynaecological surgery, compared with the international cohort.

Conclusions

Women in Africa have double the risk adjusted odds of severe postoperative complications (including in-hospital mortality) after elective non-obstetric, non-gynaecological surgery compared with the international incidence.

Postoperative Outcomes Associated With Procedural Sedation Conducted by Physician and Nonphysician Anesthesia Providers: Findings From the Prospective, Observational African Surgical Outcomes Study

BACKGROUND

There is an unmet need for essential surgical services in Africa. Limited anesthesia services are a contributing factor. Nonphysician anesthesia providers are utilized to assist with providing anesthesia and procedural sedation to make essential surgeries available. There is a paucity of data on outcomes following procedural sedation for surgery in Africa. We investigated the postoperative outcomes following procedural sedation by nonphysicians and physicians in Africa. We hypothesized that the level of training of the sedation provider may be associated with the incidence of severe postoperative complications and death.

METHODS

A secondary analysis of a prospective cohort of inhospital adult surgical patients representing 25 African countries was performed. The primary outcome was a collapsed composite of inhospital severe postoperative complications and death. We assessed the association between receiving procedural sedation conducted by a nonphysician (versus physician) and the composite outcome using logistic regression. We used the inverse probability of treatment weighting propensity score method to adjust for potential confounding variables including patient age, hemoglobin level, American Society of Anesthesiologists (ASA) physiological status, diabetes mellitus, urgency of surgery, severity of surgery, indication for surgery, surgical discipline, seniority of the surgical team, hospital level of specialization, and hospital funding system using public or private funding. All patients who only received procedural sedation for surgery were included.

RESULTS

Three hundred thirty-six patients met the inclusion criteria, of which 98 (29.2%) received sedation from a nonphysician provider. The incidence of severe postoperative complications and death was 10 of 98 (10.2%) in the nonphysician group and 5 of 238 (2.1%) in the physician group. The estimated association between procedural sedation conducted by a nonphysician provider and inhospital outcomes was an 8-fold increase in the odds of severe complications and/or death, with an odds ratio (95% confidence interval [CI]) of 8.3 (2.7-25.6).

CONCLUSIONS

The modest number of observations in this secondary data analysis suggests that shifting the task of procedural sedation from physicians to nonphysicians to increase access to care may be associated with severe postoperative complications and death in Africa. Research focusing on identifying factors contributing to adverse outcomes associated with procedural sedation is necessary to make this practice safer.

Understanding the performance of a pan-African intervention to reduce postoperative mortality: a mixed-methods process evaluation of the ASOS-2 trial

BACKGROUND

The African Surgical OutcomeS-2 (ASOS-2) trial tested an enhanced postoperative surveillance intervention to reduce postoperative mortality in Africa. We undertook a concurrent evaluation to understand the process of intervention delivery.

METHODS

Mixed-methods process evaluation, including field notes, interviews, and post-trial questionnaire responses. Qualitative analysis used the framework method with subsequent creation of comparative case studies, grouping hospitals by intervention fidelity. A post-trial questionnaire was developed using initial qualitative analyses. Categorical variables were summarised as count (%) and continuous variables as median (inter-quartile range [IQR]). Odds ratios (OR) were used to rank influences by impact on fidelity.

RESULTS

The dataset included eight in-depth case studies, and 96 questionnaire responses (response rate 67%) plus intervention fidelity data for each trial site. Overall, 57% (n=55/96) of hospitals achieved intervention delivery using an inclusive definition of fidelity. Delivery of the ASOS-2 interventions and data collection presented a significant burden to the investigators, outstripping limited resources. The influences most associated with fidelity were: surgical staff enthusiasm for the trial (OR=3.0; 95% confidence interval [CI], 1.3-7.0); nursing management support of the trial (OR=2.6; 95% CI, 1.1-6.5); performance of a dummy run (OR=2.6; 95% CI, 1.1-6.1); nursing colleagues seeing the value of the intervention(s) (OR=2.1; 95% CI, 0.9-5.7); and site investigators' belief in the effectiveness of the intervention (OR=3.2; 95% CI, 1.2-9.4).

CONCLUSIONS

ASOS-2 has proved that coordinated interventional research across Africa is possible, but delivering the ASOS-2 interventions was a major challenge for many investigators. Future improvement science efforts must include better planning for intervention delivery, additional support to investigators, and promotion of strong inter-professional teamwork.

CLINICAL TRIAL REGISTRATION

ClinicalTrials gov NCT03853824.

Enhanced postoperative surveillance versus standard of care to reduce mortality among adult surgical patients in Africa (ASOS-2): a cluster-randomised controlled trial

Background

Risk of mortality following surgery in patients across Africa is twice as high as the global average. Most of these deaths occur on hospital wards after the surgery itself. We aimed to assess whether enhanced postoperative surveillance of adult surgical patients at high risk of postoperative morbidity or mortality in Africa could reduce 30-day in-hospital mortality.

Methods

We did a two-arm, open-label, cluster-randomised trial of hospitals (clusters) across Africa. Hospitals were eligible if they provided surgery with an overnight postoperative admission. Hospitals were randomly assigned through minimisation in recruitment blocks (1:1) to provide patients with either a package of enhanced postoperative surveillance interventions (admitting the patient to higher care ward, increasing the frequency of postoperative nursing observations, assigning the patient to a bed in view of the nursing station, allowing family members to stay in the ward, and placing a postoperative surveillance guide at the bedside) for those at high risk (ie, with African Surgical Outcomes Study Surgical Risk Calculator scores ≥10) and usual care for those at low risk (intervention group), or for all patients to receive usual postoperative care (control group). Health-care providers and participants were not masked, but data assessors were. The primary outcome was 30-day in-hospital mortality of patients at low and high risk, measured at the participant level. All analyses were done as allocated (by cluster) in all patients with available data. This trial is registered with ClinicalTrials.gov, NCT03853824.

Findings

Between May 3, 2019, and July 27, 2020, 594 eligible hospitals indicated a desire to participate across 33 African countries; 332 (56%) were able to recruit participants and were included in analyses. We allocated 160 hospitals (13 275 patients) to provide enhanced postoperative surveillance and 172 hospitals (15 617 patients) to provide standard care. The mean age of participants was 37·1 years (SD 15·5) and 20 039 (69·4%) of 28 892 patients were women. 30-day in-hospital mortality occurred in 169 (1·3%) of 12 970 patients with mortality data in the intervention group and in 193 (1·3%) of 15 242 patients with mortality data in the control group (relative risk 0·96, 95% CI 0·69–1·33; p=0·79). 45 (0·2%) of 22 031 patients at low risk and 309 (5·6%) of 5500 patients at high risk died. No harms associated with either intervention were reported.

Interpretation

This intervention package did not decrease 30-day in-hospital mortality among surgical patients in Africa at high risk of postoperative morbidity or mortality. Further research is needed to develop interventions that prevent death from surgical complications in resource-limited hospitals across Africa.

Funding

Bill & Melinda Gates Foundation and the World Federation of Societies of Anaesthesiologists.

Translations

For the Arabic, French and Portuguese translations of the abstract see Supplementary Materials section.

Patient characteristics and cardiac surgical outcomes at a tertiary care hospital in Kenya, 2008-2017: a retrospective study

Background

Cardiac surgeries are high risk procedures that require specialized care and access to these procedures is often limited in resource-poor countries. Although fatalities for surgical patients across Africa are twice that of the global rate, cardiac surgical mortality continent-wide is only slightly higher than all-surgical mortality. Understanding demographic and health characteristics of patients and the associations of these characteristics with morbidity and mortality events is important in guiding care decisions. Therefore, the objectives of this study were to: (a) describe the characteristics of cardiac surgical patients; (b) identify the associations between these characteristics and morbidity and mortality events following cardiac surgery.

Methods

Patient characteristics and post-surgical complications were abstracted for all cardiac surgical patients treated at a tertiary care hospital in Kenya from 2008 to 2017. Descriptive analyses of demographic factors, co-morbidities, peri-operative conditions, and post-surgical complications were conducted for adult and pediatric patients. Cochran-Armitage trend test was used to assess temporal trends in risk of death. Multivariable ordinary logistic and Firth logistic models were used to investigate predictors of surgical outcomes.

Results

The study included a total of 181 patients (150 adult and 31 pediatric patients). Most (91.3%) adult patients had acquired conditions while 45.2% of the pediatric patients had congenital defects. Adult patients tended to have co-morbid conditions including hypertension (16.7%), diabetes mellitus (7.3%), and nephropathy (6.7%). Most patients (76.0% adults and 96.8% pediatric patients) underwent ≤ 2 surgical procedures during their hospital stay. Seventy percent of adult and 54.8% of the pediatric patients experienced at least one post-surgical complication including mediastinal hemorrhage, acute kidney injury and death. Patient characteristics played the greatest roles in predicting post-surgical complications. For adult patients, significant predictors of acute kidney injury included atrial fibrillation (OR = 18.25; p = .001), mitral valve replacement (OR = 0.14; p = .019), and use of cardiopulmonary bypass (OR = 0.06; p = .002). Significant predictors of 30-day mortality were age (OR = 1.05; p = .015) and atrial fibrillation (OR = 4.12, p = .018). Although the number of surgeries increased over the decade-long study period, there were no significant (p = .467) temporal trends in the risk of death.

Conclusions

Awareness of demographic and peri-surgical factors that are predictors of complications is useful in guiding clinical decisions to reduce morbidity and mortality. Identification of co-morbidities as the most useful predictors of post-surgical complications suggests that patient characteristics may be a larger contributor to the incidence of complications than surgical practices.

Development of a Clinical Prediction Model for In-hospital Mortality from the South African Cohort of the African Surgical Outcomes Study

BACKGROUND

Data on the factors that influence mortality after surgery in South Africa are scarce, and neither these data nor data on risk-adjusted in-hospital mortality after surgery are routinely collected. Predictors related to the context or setting of surgical care delivery may also provide insight into variation in practice. Variation must be addressed when planning for improvement of risk-adjusted outcomes. Our objective was to identify the factors predicting in-hospital mortality after surgery in South Africa from available data.

METHODS

A multivariable logistic regression model was developed to identify predictors of 30-day in-hospital mortality in surgical patients in South Africa. Data from the South African contribution to the African Surgical Outcomes Study were used and included 3800 cases from 51 hospitals. A forward stepwise regression technique was then employed to select for possible predictors prior to model specification. Model performance was evaluated by assessing calibration and discrimination. The South African Surgical Outcomes Study cohort was used to validate the model.

RESULTS

Variables found to predict 30-day in-hospital mortality were age, American Society of Anesthesiologists Physical Status category, urgent or emergent surgery, major surgery, and gastrointestinal-, head and neck-, thoracic- and neurosurgery. The area under the receiver operating curve or c-statistic was 0.859 (95% confidence interval: 0.827-0.892) for the full model. Calibration, as assessed using a calibration plot, was acceptable. Performance was similar in the validation cohort as compared to the derivation cohort.

CONCLUSION

The prediction model did not include factors that can explain how the context of care influences post-operative mortality in South Africa. It does, however, provide a basis for reporting risk-adjusted perioperative mortality rate in the future, and identifies the types of surgery to be prioritised in quality improvement projects at a local or national level.

Few and feasible preoperative variables can identify high-risk surgical patients: derivation and validation of the Ex-Care risk model

BACKGROUND

The development of feasible preoperative risk tools is desirable, especially for low-middle income countries with limited resources and complex surgical settings. This study aimed to derive and validate a preoperative risk model (Ex-Care model) for postoperative mortality and compare its performance with current risk tools.

METHODS

A multivariable logistic regression model predicting in-hospital mortality was developed using a large Brazilian surgical cohort. Patient and perioperative predictors were considered. Its performance was compared with the Charlson comorbidity index (CCI), Revised Cardiac Risk Index (RCRI), and the Surgical Outcome Risk Tool (SORT).

RESULTS

The derivation cohort included 16 618 patients. In-hospital death occurred in 465 patients (2.8%). Age, with adjusted splines, degree of procedure (major vs non-major), ASA physical status, and urgency were entered in a final model. It showed high discrimination with an area under the receiver operating characteristic curve (AUROC) of 0.926 (95% confidence interval [CI], 0.91-0.93). It had superior accuracy to the RCRI (AUROC, 0.90 vs 0.76; P<0.01) and similar to the CCI (0.90 vs 0.82; P=0.06) and SORT models (0.90 vs 0.92; P=0.2) in the temporal validation cohort of 1173 patients. Calibration was adequate in both development (Hosmer-Lemeshow, 9.26; P=0.41) and temporal validation cohorts (Hosmer-Lemeshow 5.29; P=0.71).

CONCLUSIONS

The Ex-Care risk model proved very efficient at identifying high-risk surgical patients. Although multicentre studies are needed, it should have particular value in low resource settings to better inform perioperative health policy and clinical decision-making.

Systematic review of perioperative mortality risk prediction models for adults undergoing inpatient non-cardiac surgery

BACKGROUND

Risk prediction tools can be used in the perioperative setting to identify high-risk patients who may benefit from increased surveillance and monitoring in the postoperative period, to aid shared decision-making, and to benchmark risk-adjusted hospital performance. We evaluated perioperative risk prediction tools relevant to an Australian context.

METHODS

A systematic review of perioperative mortality risk prediction tools used for adults undergoing inpatient noncardiac surgery, published between 2011 and 2019 (following an earlier systematic review). We searched Medline via OVID using medical subject headings consistent with the three main areas of risk, surgery and mortality/morbidity. A similar search was conducted in Embase. Tools predicting morbidity but not mortality were excluded, as were those predicting a composite outcome that did not report predictive performance for mortality separately. Tools were also excluded if they were specifically designed for use in cardiac or other highly specialized surgery, emergency surgery, paediatrics or elderly patients.

RESULTS

Literature search identified 2568 studies for screening, of which 19 studies identified 21 risk prediction tools for inclusion.

CONCLUSION

Four tools are candidates for adapting in the Australian context, including the Surgical Mortality Probability Model (SMPM), Preoperative Score to Predict Postoperative Mortality (POSPOM), Surgical Outcome Risk Tool (SORT) and NZRISK. SORT has similar predictive performance to POSPOM, using only six variables instead of 17, contains all variables of the SMPM, and the original model developed in the UK has already been successfully adapted in New Zealand as NZRISK. Collecting the SORT and NZRISK variables in a national surgical outcomes study in Australia would present an opportunity to simultaneously investigate three of our four shortlisted models and to develop a locally valid perioperative mortality risk prediction model with high predictive performance.

Perioperative mortality as a meaningful indicator: Challenges and solutions for measurement, interpretation, and health system improvement

Expanding global access to safe surgical and anaesthesia care is crucial to meet the health targets of the Sustainable Development Goals (SDGs). As global surgical volume increases, improving safety throughout the patient care pathway is a public health priority. At present, an estimated 4.2 million individuals die within 30 days of surgery each year, and many of these deaths are preventable. Important considerations for the collection and reporting of perioperative mortality data have been identified in the literature, but consensus has not been established on the best methodology for the quantification of excess surgical mortality at a hospital or health system level. In this narrative review, we address challenges in the use of perioperative mortality rates (POMR) for improving patient safety. First, we discuss controversies in the use of POMR as a health system indicator and suggest advantages for using a "basket" of procedure-specific mortality rates as an adjunct to gross POMR. We offer then solutions to challenges in the collection and reporting of POMR data, and propose interventions for improving care in the preoperative, operative, and postoperative periods. Finally, we discuss how health systems leaders and frontline clinicians can integrate surgical safety into both national health plans and patient care pathways to drive a sustainable safety revolution in perioperative care.

Implementation of surgical site infection surveillance in low- and middle-income countries: A position statement for the International Society for Infectious Diseases

Surgical site infection (SSI) rates in low- and middle-income countries (LMICs) range from 8 to 30% of procedures, making them the most frequent healthcare-acquired infection (HAI) with substantial morbidity, mortality, and economic impacts. Presented here is an approach to surgical site infection prevention based on surveillance and focused on five critical areas identified by international experts. These five areas include

1. Collecting valid, high-quality data;

2. Linking HAIs to economic incapacity, underscoring the need to prioritize infection prevention activities;

3. Implementing SSI surveillance within infection prevention and control (IPC) programs to enact structural changes, develop procedural skills, and alter healthcare worker behaviors;

4. Prioritizing IPC training for healthcare workers in LMICs to conduct broad-based surveillance and to develop and implement locally applicable IPC programs; and

5. Developing a highly accurate and objective international system for defining SSIs, which can be translated globally in a straightforward manner.

Finally, we present a clear, unambiguous framework for successful SSI guideline implementation that supports developing sustainable IPC programs in LMICs. This entails

1. Identifying index operations for targeted surveillance;

2. Identifying IPC “champions” and empowering healthcare workers;

3. Using multimodal improvement measures;

4. Positioning hand hygiene programs as the basis for IPC initiatives;

5. Use of telecommunication devices for surveillance and healthcare outcome follow-ups.

Additionally, special considerations for pediatric SSIs, antimicrobial resistance development, and antibiotic stewardship programs are addressed.

Prehabilitation program for African sub-Saharan surgical patients is an unmet need

Approximately 4.2 million people worldwide die within 30 days of surgery each year. Half of these deaths occur in low- and middle-income countries. Postoperative deaths account for 7.7% of all deaths globally, making it the third-highest contributor to deaths, after heart disease and stroke. In sub-Saharan Africa, there is a higher rate of mortality following postoperative complications compared to high-income countries. The WHO has tools to help countries provide safer surgery. However, implementation remains poor in most African countries. Interventions focused on intraoperative or postoperative measures to improve perioperative prognosis may be too late for high-risk patients. Poor preoperative cardiorespiratory functional capacity, poor management of pre-existing comorbidities and risk factors and no assessment of the patient´s surgical risk is associated with adverse postoperative outcomes, including mortality, complications, slower recovery, longer intensive care stay, extended hospital length of stay and reduced postoperative quality of life. To significantly decrease morbidity and mortality following surgery in Africa, we propose the implementation of a comprehensive preoperative intervention, that must include: i) risk assessment of surgical patients to identify those at greater risk of postoperative complications for elective surgery; ii) increase the preoperative functional reserve of these high-risk patients, to enhance their tolerance to surgical stress and improve postoperative recovery; iii) anticipate postoperative care needs and organize tools, resources and establish simple workflows to manage postoperative complications. We believe this approach is simple, feasible and will significantly reduce postoperative burden for both patients, hospitals and society.

Perioperative management of gastrointestinal surgery in a resource-limited hospital in Niger: Cross-sectional study

Background

Perioperative management in digestive surgery is a challenge in sub-Saharan Africa. Objective: To describe the process and outcomes of perioperative management in gastrointestinal surgery.

Materials and methods

This was a single center cross-sectional study over a 4-month period from June 1 to September 30, 2017, in a Nigerien hospital (West Africa). This study included caregivers and patients operated on gastrointestinal surgery.

Results

We collected data for 56 caregivers and 253 patients underwent gastrointestinal surgery. The average age of caregivers was 38.6 ± 8.7. The median length of professional practice was 9 years. Almost 52% of caregivers (n = 29) did not know the standards of perioperative care. The median age of patients was 24 years, and male gender constituted 70% of cases (n = 177) with a sex ratio of 2.32. Patients came from rural areas in 78.2% (n = 198). Emergency surgery accounted for 60% (n = 152). The most surgical procedure was digestive ostomies performed in 28.9% (n = 73), followed by hernia repair and appendectomy in 24.5% (n = 62) and 13.9% (n = 35) respectively. The postoperative course was complicated in 28.1% (n = 71) among which 13 deaths. In the group of caregivers, the poor practice of perioperative management was associated with poor professional qualification, insufficient equipment, insufficient motivation (p < 0.05). The ASA3&ASA4 score, undernutrition, emergency surgery, poor postoperative monitoring, and poor psychological preparation were associated with complicated postoperative outcomes (p < 0.05).

Conclusion

The inadequacy of the technical platform and the lack of continuous training for healthcare staff represented the main dysfunctions of our hospital. The risk factors for complications found in this study need appropriate perioperative management to improve prognosis in gastrointestinal surgery.

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Perioperative care in gastrointestinal surgery in a challenge in Sub-Saharan countries.

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This setting is characterised by the difficulty of geographical access to hospital, lack of equipment.

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Risk factors for complications are multifactorial.

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This study can be a draft for improvement the quality of care in low resource settings.

Priorities for peri-operative research in Africa

Deaths following surgery are the third largest contributor to deaths globally, and in Africa are twice the global average. There is a need for a peri-operative research agenda to ensure co-ordinated, collaborative research efforts across Africa in order to decrease peri-operative mortality. The objective was to determine the top 10 research priorities for peri-operative research in Africa. A Delphi technique was used to establish consensus on the top research priorities. The top 10 research priorities identified were (1) Develop training standards for peri-operative healthcare providers (surgical, anaesthesia and nursing) in Africa; (2) Develop minimum provision of care standards for peri-operative healthcare providers (surgical, anaesthesia and nursing) in Africa; (3) Early identification and management of mothers at risk from peripartum haemorrhage in the peri-operative period; (4) The role of communication and teamwork between surgical, anaesthetic, nursing and other teams involved in peri-operative care; (5) A facility audit/African World Health Organization situational analysis tool audit to assess emergency and essential surgical care, which includes anaesthetic equipment available and level of training and knowledge of peri-operative healthcare providers (surgeons, anaesthetists and nurses); (6) Establishing evidence-based practice guidelines for peri-operative physicians in Africa; (7) Economic analysis of strategies to finance access to surgery in Africa; (8) Establishment of a minimum dataset surgical registry; (9) A quality improvement programme to improve implementation of the surgical safety checklist; and (10) Peri-operative outcomes associated with emergency surgery. These peri-operative research priorities provide the structure for an intermediate-term research agenda to improve peri-operative outcomes across Africa.

The African Surgical OutcomeS-2 (ASOS-2) Pilot Trial, a mixed-methods implementation study

Background: The African Surgical Outcomes Study (ASOS) showed that surgical patients in Africa have a mortality twice the global average. The working hypothesis is that patients die as a result of failure to rescue following complications in the postoperative period. The African Surgical OutcomeS-2 (ASOS-2) Trial plans to test the efficacy of increased postoperative surveillance in high risk patients for decreasing perioperative morbidity and mortality. This pilot trial aimed i) to evaluate the adequacy of data produced by the data collection strategies of the ASOS-2 Trial, ii) to evaluate the fidelity of implementation of the increased postoperative surveillance intervention, and iii) to understand the acceptability, appropriateness and feasibility of the intervention and the trial processes. Methods: The ASOS-2 Pilot Trial was a mixed-methods (quantitative-qualitative) implementation study focusing on the intervention arm of the proposed ASOS-2 Trial. The intervention is increased postoperative surveillance for high-risk surgical patients. The intervention protocol was implemented at all sites for a seven-day period. A post pilot trial survey was used to collect data on the implementation outcomes. Results: 803 patients were recruited from 16 hospitals in eight African countries. The sampling and data collection strategies provided 98% complete data collection. Seventy-three percent of respondents believed that they truly provided increased postoperative surveillance to high risk patients. In reality 83/125 (66%) of high-risk patients received some form of increased postoperative surveillance. However, the individual components of the increased postoperative surveillance intervention were implemented in less than 50% of high-risk patients (excepting increasing nursing observations). The components most frequently unavailable were the ability to provide care in a higher care ward (32.1%) and assigning the patient to a bed in view of the nurses’ station (28.4%). Failure to comply with available components of the intervention ranged from 27.5% to 54.3%. The post pilot survey had a response rate of 30/40 (75%). In Likert scale questions about acceptability, appropriateness, and feasibility of the ASOS-2 intervention, 63% to 87% of respondents indicated agreement. Respondents reported barriers related to resources, trial processes, teamwork and communication as reasons for disagreement. Conclusions: The proposed ASOS-2 Trial appears to be appropriate, acceptable and feasible in Africa. This pilot trial provides support for the proposed ASOS-2 Trial. It emphasises the need for establishing trial site teams which address the needs of all stakeholders during the trial. A concerted effort must be made to help participating hospitals to increase compliance with all the components of the proposed intervention of ‘increased postoperative surveillance’ during the ASOS-2 Trial.

South African Paediatric Surgical Outcomes Study: a 14-day prospective, observational cohort study of paediatric surgical patients

BACKGROUND

Children comprise a large proportion of the population in sub-Saharan Africa. The burden of paediatric surgical disease exceeds available resources in Africa, potentially increasing morbidity and mortality. There are few prospective paediatric perioperative outcomes studies, especially in low- and middle-income countries (LMICs).

METHODS

We conducted a 14-day multicentre, prospective, observational cohort study of paediatric patients (aged <16 yrs) undergoing surgery in 43 government-funded hospitals in South Africa. The primary outcome was the incidence of in-hospital postoperative complications.

RESULTS

We recruited 2024 patients at 43 hospitals. The overall incidence of postoperative complications was 9.7% [95% confidence interval (CI): 8.4-11.0]. The most common postoperative complications were infective (7.3%; 95% CI: 6.2-8.4%). In-hospital mortality rate was 1.1% (95% CI: 0.6-1.5), of which nine of the deaths (41%) were in ASA physical status 1 and 2 patients. The preoperative risk factors independently associated with postoperative complications were ASA physcial status, urgency of surgery, severity of surgery, and an infective indication for surgery.

CONCLUSIONS

The risk factors, frequency, and type of complications after paediatric surgery differ between LMICs and high-income countries. The in-hospital mortality is 10 times greater than in high-income countries. These findings should be used to develop strategies to improve paediatric surgical outcomes in LMICs, and support the need for larger prospective, observational paediatric surgical outcomes research in LMICs.

CLINICAL TRIAL REGISTRATION

NCT03367832.