Implementation of a perioperative registry in Ethiopia to enhance surgical quality improvement.

BACKGROUND: Despite a glaring need and proven efficacy, prospective surgical registries are lacking in low- and middle-income countries. The objective of this study was to design and implement a comprehensive prospective perioperative registry in a low-income country. METHODS: This study was conducted at Hawassa University Comprehensive Specialized Hospital in Hawassa, Ethiopia. Design of the registry occurred from June 2021 to May 2022 and pilot implementation from May 2022 to May 2023. All patients undergoing elective or emergent general surgery were included. Following one year, operability and fidelity of the registry were analyzed by assessing capture rate, incidence of missing data, and accuracy. RESULTS: A total of 67 variables were included in the registry including demographics, preoperative, operative, post-operative, and 30-day data. Of 440 eligible patients, 226 (51.4%) were successfully captured. Overall incidence of missing data and accuracy was 5.4% and 90.2% respectively. Post pilot modifications enhanced capture rate to 70.5% and further optimized data collection processes. CONCLUSION: The establishment of a low-cost electronic prospective perioperative registry in a low-income country represents a significant step forward in enhancing surgical care in under-resourced settings. The initial success of this registry highlights the feasibility of such endeavors when strong partnerships and local context are at the center of implementation. Continuous efforts to refine this registry are ongoing, which will ultimately lead to enhanced surgical quality, research output, and expansion to other sites.

Quality and sustainability of Ethiopia's national surgical indicators.

In 2015, the Ethiopian Federal Ministry of Health (FMOH) developed the Saving Lives through Safe Surgery (SaLTS) initiative to improve national surgical care. Previous work led to development and implementation of 15 surgical key performance indicators (KPIs) to standardize surgical data practices. The objective of this project is to investigate current practices of KPI data collection and assess quality to improve data management and strengthen surgical systems. The first portion of the study documented the surgical data collection process including methods, instruments, and effectiveness at 10 hospitals across 2 regions in Ethiopia. Secondly, data for KPIs of focus [1. Surgical Volume, 2. Perioperative Mortality Rate (POMR), 3. Adverse Anesthetic Outcome (AAO), 4. Surgical Site Infection (SSI), and 5. Safe Surgery Checklist (SSC) Utilization] were compared between registries, KPI reporting forms, and the DHIS2 (district health information system) electronic database for a 6-month period (January-June 2022). Quality was assessed based on data completeness and consistency. The data collection process involved hospital staff recording data elements in registries, quality officers calculating KPIs, completing monthly KPI reporting forms, and submitting data into DHIS2 for the national and regional health bureaus. Data quality verifications revealed discrepancies in consistency at all hospitals, ranging from 1-3 indicators. For all hospitals, average monthly surgical volume was 57 cases, POMR was 0.38% (13/3399), inpatient SSI rate was 0.79% (27/3399), AAO rate was 0.15% (5/3399), and mean SSC utilization monthly was 93% (100% median). Half of the hospitals had incomplete data within the registries, ranging from 2-5 indicators. AAO, SSC, and SSI were commonly missing data in registries. Non-standardized KPI reporting forms contributed significantly to the findings. Facilitators to quality data collection included continued use of registries from previous interventions and use of a separate logbook to document specific KPIs. Delayed rollout of these indicators in each region contributed to issues in data quality. Barriers involved variable indicator recording from different personnel, data collection tools that generate false positives (i.e. completeness of SSC defined as paper form filled out prior to patient discharge) or missing data because of reporting time period (i.e. monthly SSI may miss infections outside of one month), inadequate data elements in registries, and lack of standardized monthly KPI reporting forms. As the FMOH introduces new indicators and changes, we recommend continuous and consistent quality checks and data capacity building, including the use of routinely generated health information for quality improvement projects at the department level.

Interpersonal violence affecting the pediatric population: Patterns of injury and recidivism.

PURPOSE: We aim to describe interpersonal violence-related injury patterns in the pediatric trauma population and to identify predictors of recidivism. METHODS: In this retrospective analysis from a single institution, we included pediatric patients (≤17 years) treated (2006-2020) for traumatic injury related to interpersonal violence (IPV). Patient characteristics were compared among mechanism types and between recidivists and non recidivists using two sample t-tests, Wilcoxon rank-sum tests, and Pearson's chi-squared. Multivariate analysis was performed using logistic regression to identify predictors of repeat injury. RESULTS: We identified 635 pediatric patients who sustained injuries owning to IPV: firearm (N = 266), assault (stab/blunt; N = 243), and abuse (N = 126). The average age of the firearm, assault, and abuse groups was 15.5, 14.7, and 1.1 years (SD = 2.2, 3.4, 2.4 years), respectively. Majority of the overall cohort was male (77.5%) and publicly- or un insured (67.8%), with 28.0% being Black. Of the 489 firearm and assault patients who survived the first injury, 30 (6.1%) had repeat injury owning to IPV requiring treatment at our center with a median time of 40 months (IQR 17-62 months) between first and second injury. The majority of recidivists (83.3%) were victims of gun violence whereas the distribution between assault and firearm in the non recidivists was more even at 51 and 49%, respectively (p < 0.001). Eighteen (60.0%) of the recidivist patients had the same mechanism between the first and second injury. In the logistic regression analysis, Black race and firearm injury were associated with greater than 3-fold higher likelihood of repeat injury compared to white race after adjusting for age, sex, insurance, and child opportunity index. CONCLUSIONS: We found that survivors of firearm injuries and assault comprise a vulnerable patient cohort at risk for repeat injury, and Black race is an independent predictor of repeat injury owning to IPV. These findings provide guidance for developing violence prevention programs. TYPE OF STUDY: Retrospective Comparative Study LEVEL OF EVIDENCE: Level III.

Referral Process for Surgical Management of Tuberculosis in Lima: A Qualitative Study.

BACKGROUND: Lung resection surgery can be a complementary therapy for managing tuberculosis (TB) complications, but access is lacking in high-burden areas. The referral process for surgical evaluation is not well described. This study aimed to elucidate the TB surgery referral process in Peru. METHODS: A qualitative study was conducted using focus groups and interviews of health care providers from the Peruvian National TB Program. A semi-structured interview guide was developed with local partners. Focus groups and individual interviews were recorded and transcribed. Thematic analysis was used to reconstruct the referral process and identify barriers as well as areas for improvement. RESULTS: A total of 12 sessions were recorded (7 interviews and 5 focus groups; 36 participants total). The main themes identified were: (1) Surgical referral workflow, (2) Unstandardized selection criteria for surgery, (3) Limited inter-institutional communication, and (4) Material barriers to surgical management. CONCLUSION: Health care providers involved in the referral process of surgical management of tuberculosis in Lima reported a hierarchical referral workflow. Interinstitutional communication may be a critical interventional point to improve a patient's quality of care during the referral process.

Quality Improvement to Address Surgical Burden of Disease at a Large Tertiary Public Hospital in Peru.

BACKGROUND: In resource-limited settings, there is a unique opportunity for using process improvement strategies to address the lack of access to surgical care. By implementing organizational changes in the surgical admission process, we aimed to decrease wait times, increase surgical volume, and improve patient satisfaction for elective general surgery procedures at a public tertiary hospital in Lima, Peru. METHODS: During the first phase of the intervention, Plan-Do-Study-Act (PDSA) cycles were performed to ensure the surgery waitlist included up-to-date clinical information. In the second phase, Lean Six Sigma methodology was used to adapt the admission and scheduling process for elective general surgery patients. After six months, outcomes were compared to baseline data using Wilcoxon rank-sum test. RESULTS: At the conclusion of phase one, 87.0% (488/561) of patients on the new waitlist had all relevant clinical data documented, improved from 13.3% (2/15) for the pre-existing list. Time from admission to discharge for all surgeries improved from 5 to 4 days (p<0.05) after the intervention. Median wait times from admission to operation for elective surgeries were unchanged at 4 days (p=0.076) pre- and post-intervention. There was a trend toward increased weekly elective surgical volume from a median of 9 to 13 cases (p=0.24) and increased patient satisfaction rates for elective surgery from 80.5 to 83.8% (p=0.62), although these were not statistically significant. CONCLUSION: The process for scheduling and admitting elective surgical patients became more efficient after our intervention. Time from admission to discharge for all surgical patients improved significantly. Other measured outcomes improved, though not with statistical significance. Main challenges included gaining buy-in from all participants and disruptions in surgical services from bed shortages.

Surgical data strengthening in Ethiopia: results of a Kirkpatrick framework evaluation of a data quality intervention.

Background: One key challenge in improving surgical care in resource-limited settings is the lack of high-quality and informative data. In Ethiopia, the Safe Surgery 2020 (SS2020) project developed surgical key performance indicators (KPIs) to evaluate surgical care within the country. New data collection methods were developed and piloted in 10 SS2020 intervention hospitals in the Amhara and Tigray regions of Ethiopia. Objective: To assess the feasibility of collecting and reporting new surgical indicators and measure the impact of a surgical Data Quality Intervention (DQI) in rural Ethiopian hospitals. Methods: An 8-week DQI was implemented to roll-out new data collection tools in SS2020 hospitals. The Kirkpatrick Method, a widely used mixed-method evaluation framework for training programs, was used to assess the impact of the DQI. Feedback surveys and focus groups at various timepoints evaluated the impact of the intervention on surgical data quality, the feasibility of a new data collection system, and the potential for national scale-up. Results: Results of the evaluation are largely positive and promising. DQI participants reported knowledge gain, behavior change, and improved surgical data quality, as well as greater teamwork, communication, leadership, and accountability among surgical staff. Barriers remained in collection of high-quality data, such as lack of adequate human resources and electronic data reporting infrastructure. Conclusions: Study results are largely positive and make evident that surgical data capture is feasible in low-resource settings and warrants more investment in global surgery efforts. This type of training and mentorship model can be successful in changing individual behavior and institutional culture regarding surgical data collection and reporting. Use of the Kirkpatrick Framework for evaluation of a surgical DQI is an innovative contribution to literature and can be easily adapted and expanded for use within global surgery.

Identifying essential components of surgical care delivery through quality improvement: An updated surgical assessment tool.

BACKGROUND: Surgical care is a cost-effective intervention with major public health impact. Yet, five billion people do not have access to surgical and anesthesia care. This overwhelming unmet need has generated a rising interest in scale-up of these services globally. The purpose of this research was to aggregate available guidelines and create a synthesized tool that could provide valuable information at the local, national, and international health system levels. METHODS: A systematic review identified current documents cataloging elements for surgical care provision. Items with a reported frequency of >30% were included in the initial draft of the Surgical Assessment Tool. This underwent two cycles of Delphi-method expert opinion elicitation from providers working in low- and middle-income settings. Finally, the tool underwent vetting by the World Health Organization to create an expert-endorsed survey. RESULTS: Fifteen surgical tools were identified, containing a total of 216 unique elements in the following domains: infrastructure (n = 152), service delivery (n = 49), and workforce (n = 15). The final tool consisted of 169 items in the following domains: infrastructure (n = 35), service delivery (n = 92), workforce (n = 20), information management (n = 10), and financing (n = 12). CONCLUSION: Informed planning is critical to ensure successful expansion of surgical services. Our analysis of current tools shows varying agreement on the essential components of surgical care delivery. This updated tool serves as a crucial method to systematically assess surgical systems as well as monitor, modify, and strengthen in a scalable fashion. Importantly, it has the potential to be used in all settings after adaptation to local context.

Decentralization and Regionalization of Surgical Care: A Review of Evidence for the Optimal Distribution of Surgical Services in Low- and Middle-Income Countries.

BACKGROUND: While recommendations for the optimal distribution of surgical services in high-income countries (HICs) exist, it is unclear how these translate to resource-limited settings. Given the significant shortage and maldistribution of surgical workforce and infrastructure in many low- and middle-income countries (LMICs), the optimal role of decentralization versus regionalization (centralization) of surgical care is unknown. The aim of this study is to review evidence around interventions aimed at redistributing surgical services in LMICs, to guide recommendations for the ideal organization of surgical services. METHODS: A narrative-based literature review was conducted to answer this question. Studies published in English between 1997 and 2017 in PubMed, describing interventions to decentralize or regionalize a surgical procedure in a LMIC, were included. Procedures were selected using the Disease Control Priorities' (DCP3) Essential Surgery Package list. Intervention themes and outcomes were analyzed using a narrative, thematic synthesis approach. Primary outcomes included mortality, complications, and patient satisfaction. Secondary outcomes included input measures: workforce and infrastructure, and process measures: facility-based care, surgical volume, and referral rates. RESULTS: Thirty-five studies were included. Nine (33%) of the 27 studies describing decentralization showed an improvement in primary outcomes. The procedures associated with improved outcomes after decentralization included most obstetric, gynecological, and family planning services as well as some minor general surgery procedures. Out of 8 studies on regionalization (centralization), improved outcomes were shown for trauma care in one study and cataract extraction in one study. CONCLUSION: Interventions aimed at decentralizing obstetric care to the district hospital and health center levels have resulted in mortality benefits in several countries. However, more evidence is needed to link service distribution to patient outcomes in order to provide recommendations for the optimal organization of other surgical procedures in LMICs. Considerations for the optimal distribution of surgical procedures should include the acuity of the condition for which the procedure is indicated, anticipated case volume, and required level of technical skills, resources, and infrastructure. These attributes should be considered within the context of each country.

Predicted effect of regionalised delivery care on neonatal mortality, utilisation, financial risk, and patient utility in Malawi: an agent-based modelling analysis.

BACKGROUND: Health-care regionalisation, in which selected services are concentrated in higher-level facilities, has successfully improved the quality of complex medical care. However, the effectiveness of this strategy in routine maternal care is unknown. Malawi has established a national goal of halving its neonatal mortality by 2030. In this study, we aimed to assess the effect of obstetric service regionalisation in pregnant women and their newborn babies in Malawi. METHODS: In this analysis, we assessed regionalisation through the use of an agent-based simulation model. We used a previously estimated utilisation function, incorporating both patient-specific and health-facility-specific characteristics, to inform patient choice. The model was validated against known utilisation patterns in Malawi. Four regionalisation scenarios were compared with the status quo: scenario 1 restricted deliveries to facilities currently capable of providing caesarean sections; scenario 2 had the same restrictions as scenario 1, but with selected facilities upgraded to provide caesarean sections; scenario 3 restricted delivery to facilities that provided five or more basic emergency obstetric and neonatal care services in the preceding 3 months; and scenario 4 had the same restrictions as scenario 3, but with selected facilities upgraded to provide at least five basic emergency obstetric and neonatal care services. We assessed neonatal mortality, utilisation, travel distance, median out-of-pocket expenditure, and proportion of women facing catastrophic expenditure. The effects of upgrading the obstetric readiness of all facilities, of removing all user fees, and of upgrading without restriction were considered in scenario analyses. Heterogeneity and parameter uncertainty were incorporated to create 95% posterior credible intervals (PCIs). FINDINGS: Scenarios restricting women to give birth in facilities with caesarean section capabilities reduced neonatal mortality by 11·4 deaths per 1000 livebirths (scenario 1; 95% PCI 9·8-13·1) and 11·6 deaths per 1000 livebirths (scenario 2; 10·2-13·1), whereas scenarios restricting women to facilities that provided five or more basic emergency obstetric and neonatal care services did not affect neonatal mortality. Similarly, the caesarean section rate in Malawi, which is 4·6% under the status quo, was predicted to rise significantly in scenario 1 (14·7%, 95% PCI 14·5-14·9; p<0·0001) and scenario 2 (10·4%, 10·2-10·6; p<0·0001), but not in scenarios 3 and 4. Women were required to travel longer distances in scenario 1 (increase of 7·2 km, 95% PCI 4·5-9·9) and in scenario 2 (4·4 km, 1·5-7·2) than in the status quo (p<0·0001). Out-of-pocket costs tripled (p<0·0001; status quo vs scenario 1 and scenario 2), and the risk of catastrophic expenditure significantly increased from a baseline of 6·4% (95% PCI 6·1-6·6) to 14·7% (14·5-14·9) in scenario 1 and 11·3% (11·0-11·5) in scenario 2. This increase was especially pronounced among the poor (p<0·0001; status quo vs scenario 1 and scenario 2). INTERPRETATION: Policies restricting women to give birth in facilities with caesarean section capabilities is likely to result in significant decreases in neonatal mortality and might allow Malawi to meet its goal of halving its neonatal mortality by 2030. However, this improvement comes at the cost of increased distances to care and worsening financial risks among women. FUNDING: Bill & Melinda Gates Foundation, Damon Runyon Cancer Research Foundation.

Latent class analysis of the social determinants of health-seeking behaviour for delivery among pregnant women in Malawi.

INTRODUCTION: In the era of Sustainable Development Goals, reducing maternal and neonatal mortality is a priority. With one of the highest maternal mortality ratios in the world, Malawi has a significant opportunity for improvement. One effort to improve maternal outcomes involves increasing access to high-quality health facilities for delivery. This study aimed to determine the role that quality plays in women's choice of delivery facility. METHODS: A revealed-preference latent class analysis was performed with data from 6625 facility births among women in Malawi from 2013 to 2014. Responses were weighted for national representativeness, and model structure and class number were selected using the Bayesian information criterion. RESULTS: Two classes of preferences exist for pregnant women in Malawi. Most of the population 65.85% (95% CI 65.847% to 65.853%) prefer closer facilities that do not charge fees. The remaining third (34.15%, 95% CI 34.147% to 34.153%) prefers central hospitals, facilities with higher basic obstetric readiness scores and locations further from home. Women in this class are more likely to be older, literate, educated and wealthier than the majority of women. CONCLUSION: For only one-third of pregnant Malawian women, structural quality of care, as measured by basic obstetric readiness score, factored into their choice of facility for delivery. Most women instead prioritise closer care and care without fees. Interventions designed to increase access to high-quality care in Malawi will need to take education, distance, fees and facility type into account, as structural quality alone is not predictive of facility type selection in this population.

The Situation of Safe Surgery and Anaesthesia in Tanzania: A Systematic Review.

BACKGROUND: Improvement in the surgical system requires intersectoral coordination. To achieve this, the development of National Surgical, Obstetric, and Anaesthesia Plans (NSOAPS) has been recommended. One of the first steps of NSOAP development is situational analysis. On the ground situational analyses can be resource intensive and often duplicative. In 2016, the Ministry of Health of Tanzania issued a directive for the creation of an NSOAP. This systematic review aimed to assess if a comprehensive situational analysis could be achieved with existing data. These data would be used for evidence-based priority setting for NSOAP development and streamline any additional data collection needed. METHODS: A systematic literature review of scientific literature, grey literature, and policy documents was performed as per PRISMA. Extraction was performed for all articles relating to the five NSOAPS domains: infrastructure, service delivery, workforce, information management, and financing. RESULTS: 1819 unique articles were generated. Full-text screening produced 135 eligible articles; 46 were relevant to surgical infrastructure, 53 to workforce, 81 to service delivery, 11 to finance, and 15 to information management. Rich qualitative and quantitative data were available for each domain. CONCLUSIONS: Despite little systematic data collection around SOA, a thorough literature review provides significant evidence which often have a broader scope, longer timeline and better coverage than can be achieved through snapshot-stratified samples of directed on the ground assessments. Evidence from the review was used during stakeholder discussion to directly inform the NSOAP priorities in Tanzania.