Functional recovery after cesarean delivery: a prospective cohort study in rural Rwanda.

INTRODUCTION: Women who deliver via cesarean section (c-section) experience short- and long-term disability that may affect their physical health and their ability to function normally. While clinical complications are assessed, postpartum functional outcomes are not well understood from a patient's perspective or well-characterized by previous studies. In Rwanda, 11% of rural women deliver via c-section. This study explores the functional recovery of rural Rwandan women after c-section and assesses factors that predict poor functionality at postoperative day (POD) 30. METHODS: Data were collected prospectively on POD 3, 11, and 30 from women delivering at Kirehe District Hospital between October 2019 and March 2020. Functionality was measured by self-reported overall health, energy level, mobility, self-care ability, and ability to perform usual activities; and each domain was rated on a 4-point likert scale, lower scores reflecting higher level of difficulties. Using the four functionality domains, we computed composite mean scores with a maximum score of 4.0 and we defined poor functionality as composite score of ≤ 2.0. We assessed functionality with descriptive statistics and logistic regression. RESULTS: Of 617 patients, 54.0%, 25.9%, and 26.8% reported poor functional status at POD3, POD11, and POD30, respectively. At POD30, the most self-reported poor functionality dimensions were poor or very poor overall health (48.1%), and inability to perform usual activities (15.6%). In the adjusted model, women whose surgery lasted 30-45 min had higher odds of poor functionality (aOR = 1.85, p = 0.01), as did women who experienced intraoperative complications (aOR = 4.12, 95% CI (1.09, 25.57), p = 0.037). High income patients had incrementally lower significant odds of poor physical functionality (aOR = 0.62 for every US$1 increase in monthly income, 95% CI (0.40, 0.96) p = 0.04). CONCLUSION: We found a high proportion of poor physical functionality 30 days post-c-section in this Rwandan cohort. Surgery lasting > 30 min and intra-operative complications were associated with poor functionality, whereas a reported higher income status was associated with lower odds of poor functionality. Functional status assessments, monitoring and support should be included in post-partum care for women who delivered via c-section. Effective risk mitigating intervention should be implemented to recover functionality after c-section, particularly among low-income women and those undergoing longer surgical procedures or those with intraoperative complications.

Long travel times from health center to hospital reduce caesarean section access: a study from Kirehe District, Rwanda.

Introduction: timely access to safe cesarean section (c-section) delivery can save the lives of mothers and neonates. This paper explores how distance affects c-section access in rural sub-Saharan Africa, where women in labor present to health centers before being referred to district hospitals for surgical care. Methods: this study included all adult women delivering via c-section between April 2017 and March 2018 in Kirehe District, Rwanda. We assessed the association between travel times and village-level c-section rates. Results: the estimated travel time from home-to-health center was 26 minutes (IQR: 13, 41) and from health center-to-hospital was 43 minutes (IQR: 2, 59). There was no significant association between travel time from home-to-health center and c-section rates (RR=1.01, p=0.42), but the association was significant for health center-to-hospital travel times (RR=0.96, p=0.01); for every 15-minute increase in travel time, there was a 4% decrease in c-sections for a health center catchment area. Conclusion: in the context of decentralized health services, minimizing health center to hospital referral barriers is of utmost importance for improving c-section access in rural sub-Saharan Africa.

Late and Persistent Symptoms Suggestive of Surgical Site Infections After Cesarean Section: Results from a Prospective Cohort Study in Rural Rwanda.

Background: Women in low-resource settings will likely develop late surgical site infections (SSIs), diagnosed after post-operative day (POD) 10. We measured SSI prevalence and predictors of late and persistent SSIs-suggestive symptoms among women who delivered via cesarean section (c-section). Patients and Methods: Women who underwent c-sections at Kirehe District Hospital (KDH) between September 2019 and February 2020 were prospectively enrolled. Data were collected on POD1, POD11, and POD30. Logistic regression identified factors associated with persistent and late SSI symptoms. Results: In total, 808 women were study enrolled. Of these, 646 women physically attended the POD11 clinic visit follow-up, while 671 received the POD30 telephone-based follow-up review. Thirty-three (5.0%) women were diagnosed with an SSI on POD11, and 39 (5.3%) had an SSI diagnosis during POD11 to POD30, giving a cumulative prevalence of 10.3% late SSI rate. Of 671, 400 (59.9%) reported at least one SSI-associated symptom between POD11 and POD30. The reported symptoms included pain (56.6%), fever (19.4%), or incision drainage (16.6%). Of these, 200 women reported still having at least one of these symptoms on POD30. Of the 400 women with late SSI symptoms, 232 (58.0%) did not seek care, and of these, 80 (48.5%), 59 (35.8%), and 15 (8.9%) could not afford transport fare, did not believe symptoms were severe for a medical visit, and were not able to travel, respectively. Lower odds of late SSI-suggestive symptoms were reported among women with health insurance (adjusted odds ratio [aOR], 0.06; p = 0.013), whereas higher late SSI-suggestive symptoms odds were among women with wealthier socioeconomic status (aOR, 2.88; p = 0.004). Conclusions: Women in rural Rwanda are at risk of late and persistent SSI-suggestive symptoms. Financial barriers and the perception that their symptoms were not serious enough for the medical visit need education on early care seeking and interventions to mitigate financial barriers for optimizing perinatal care.

mHealth-community health worker telemedicine intervention for surgical site infection diagnosis: a prospective study among women delivering via caesarean section in rural Rwanda.

BACKGROUND: Surgical site infections (SSIs) cause a significant global public health burden in low and middle-income countries. Most SSIs develop after patient discharge and may go undetected. We assessed the feasibility and diagnostic accuracy of an mHealth-community health worker (CHW) home-based telemedicine intervention to diagnose SSIs in women who delivered via caesarean section in rural Rwanda. METHODS: This prospective cohort study included women who underwent a caesarean section at Kirehe District Hospital between September 2019 and March 2020. At postoperative day 10 (±3 days), a trained CHW visited the woman at home, provided wound care and transmitted a photo of the wound to a remote general practitioner (GP) via WhatsApp. The GP reviewed the photo and made an SSI diagnosis. The next day, the woman returned to the hospital for physical examination by an independent GP, whose SSI diagnosis was considered the gold standard for our analysis. We describe the intervention process indicators and report the sensitivity and specificity of the telemedicine-based diagnosis. RESULTS: Of 787 women included in the study, 91.4% (n=719) were located at their home by the CHW and all of them (n=719, 100%) accepted the intervention. The full intervention was completed, including receipt of GP telemedicine diagnosis within 1 hour, for 79.0% (n=623). The GPs diagnosed 30 SSIs (4.2%) through telemedicine and 38 SSIs (5.4%) through physical examination. The telemedicine sensitivity was 36.8% and specificity was 97.6%. The negative predictive value was 96.4%. CONCLUSIONS: Implementation of an mHealth-CHW home-based intervention in rural Rwanda and similar settings is feasible. Patients' acceptance of the intervention was key to its success. The telemedicine-based SSI diagnosis had a high negative predictive value but a low sensitivity. Further studies must explore strategies to improve accuracy, such as accompanying wound images with clinical data or developing algorithms using machine learning.

The Effect and Feasibility of mHealth-Supported Surgical Site Infection Diagnosis by Community Health Workers After Cesarean Section in Rural Rwanda: Randomized Controlled Trial.

BACKGROUND: The development of a surgical site infection (SSI) after cesarean section (c-section) is a significant cause of morbidity and mortality in low- and middle-income countries, including Rwanda. Rwanda relies on a robust community health worker (CHW)-led, home-based paradigm for delivering follow-up care for women after childbirth. However, this program does not currently include postoperative care for women after c-section, such as SSI screenings. OBJECTIVE: This trial assesses whether CHW's use of a mobile health (mHealth)-facilitated checklist administered in person or via phone call improved rates of return to care among women who develop an SSI following c-section at a rural Rwandan district hospital. A secondary objective was to assess the feasibility of implementing the CHW-led mHealth intervention in this rural district. METHODS: A total of 1025 women aged ≥18 years who underwent a c-section between November 2017 and September 2018 at Kirehe District Hospital were randomized into the three following postoperative care arms: (1) home visit intervention (n=335, 32.7%), (2) phone call intervention (n=334, 32.6%), and (3) standard of care (n=356, 34.7%). A CHW-led, mHealth-supported SSI diagnostic protocol was delivered in the two intervention arms, while patients in the standard of care arm were instructed to adhere to routine health center follow-up. We assessed intervention completion in each intervention arm and used logistic regression to assess the odds of returning to care. RESULTS: The majority of women in Arm 1 (n=295, 88.1%) and Arm 2 (n=226, 67.7%) returned to care and were assessed for an SSI at their local health clinic. There were no significant differences in the rates of returning to clinic within 30 days (P=.21), with high rates found consistently across all three arms (Arm 1: 99.7%, Arm 2: 98.4%, and Arm 3: 99.7%, respectively). CONCLUSIONS: Home-based post-c-section follow-up is feasible in rural Africa when performed by mHealth-supported CHWs. In this study, we found no difference in return to care rates between the intervention arms and standard of care. However, given our previous study findings describing the significant patient-incurred financial burden posed by traveling to a health center, we believe this intervention has the potential to reduce this burden by limiting patient travel to the health center when an SSI is ruled out at home. Further studies are needed (1) to determine the acceptability of this intervention by CHWs and patients as a new standard of care after c-section and (2) to assess whether an app supplementing the mHealth screening checklist with image-based machine learning could improve CHW diagnostic accuracy. TRIAL REGISTRATION: ClinicalTrials.gov NCT03311399; https://clinicaltrials.gov/ct2/show/NCT03311399.

Telemedicine for Surgical Site Infection Diagnosis in Rural Rwanda: Concordance and Accuracy of Image Reviews.

BACKGROUND: In rural Africa where access to medical personnel is limited, telemedicine can be leveraged to empower community health workers (CHWs) to support effective postpartum home-based care after cesarean section (c-section). As a first step toward telemedicine, we assessed the sensitivity, specificity, and interrater reliability of image-based diagnosis of surgical site infections (SSIs) among women delivering via c-section at a rural Rwandan Hospital. METHODS: Women ≥18 years who underwent c-section from March to October 2017 at Kirehe District Hospital (KDH) were enrolled. On postoperative day 10 at KDH, participants underwent a physical examination by a general practitioner, who provided a diagnosis of SSI or no SSI. Trained CHWs photographed patients' incisions and the collected images were shown to six physicians, who upon review, assigned one of the following diagnoses to each image: definite SSI, suspected SSI, suspected no SSI, and definite no SSI, which were compared with the diagnoses based on physical exam. We report the sensitivity and specificity and assessed reviewer agreement using Gwet's AC1. RESULTS: 569 images were included, with 61 women (10.7%) diagnosed with an SSI. Of the 3414 image-reviews, 49 (1.4%) could not be assigned diagnoses due to image quality. The median sensitivity and specificity were 0.83 and 0.69, respectively. The Gwet's AC1 estimate for binary classification was 0.46. CONCLUSIONS: We demonstrate decent accuracy but only moderate consistency for photograph-based SSI diagnosis. Strategies to improve overall agreement include providing clinical information to accompany photographs, providing a baseline photograph for comparison, and implementing photograph-taking processes aimed at improving image quality.

Enablers and barriers to post-discharge follow-up among women who have undergone a caesarean section: experiences from a prospective cohort in rural Rwanda.

BACKGROUND: Caesarean sections account for roughly one third of all surgical procedures performed in low-income countries. Due to lack of standardised post-discharge follow-up protocols and practices, most of available data are extracted from clinical charts during hospitalization and are thus sub-optimal for answering post-discharge outcomes questions. This study aims to determine enablers and barriers to returning to the hospital after discharge among women who have undergone a c-section at a rural district hospital in Rwanda. METHODS: Women aged ≥ 18 years who underwent c-section at Kirehe District Hospital in rural Rwanda in the period March to October 2017 were prospectively followed. A structured questionnaire was administered to participants and clinical data were extracted from medical files between March and October 2017. At discharge, consenting women were given an appointment to return for follow-up on postoperative day 10 (POD 10) (± 3 days) and provided a voucher to cover transport and compensation for participation to be redeemed on their return. Study participants received a reminder call on the eve of their scheduled appointment. We used a backward stepwise logistic regression, at an α = 0.05 significance level, to identify enablers and barriers associated with post-discharge follow-up return. RESULTS: Of 586 study participants, the majority (62.6%) were between 21-30 years old and 86.4% had a phone contact number. Of those eligible, 90.4% returned for follow-up. The predictors of return were counselling by a female data collector (OR = 9.85, 95%CI:1.43-37.59) and receiving a reminder call (OR = 16.47, 95%CI:7.07-38.38). Having no insurance reduced the odds of returning to follow-up (OR = 0.03, 95%CI:0.03-0.23), and those who spent more than 10.6 Euro for transport to and from the hospital were less likely to return to follow-up (OR = 0.14, 95%CI:0.04- 0.50). CONCLUSION: mHealh interventions using calls or notifications can increase the post-discharge follow-up uptake. The reminder calls to patients and discharge counselling by a gender-matching provider had a positive effect on return to care. Further interventions are needed targeting the uninsured and patients facing transportation hardship. Additionally, association between counselling of women patients by a female data collector and greater return to follow-up needs further exploration to optimize counselling procedures.

Does community-based health insurance protect women from financial catastrophe after cesarean section? A prospective study from a rural hospital in Rwanda.

BACKGROUND: The implementation of community-based health insurance in (CBHI) in Rwanda has reduced out of pocket (OOP) spending for the > 79% of citizens who enroll in it but the effect for surgical patients is not well described. For all but the poorest citizens who are completely subsidized, the OOP (out of pocket) payment at time of service is 10%. However, 55.5% of the population is below the international poverty line meaning that even this copay can have a significant impact on a family's financial health. The aim of this study was to estimate the burden of OOP payments for cesarean sections in the context of CBHI and determine if having it reduces catastrophic health expenditure (CHE). METHODS: This study is nested in a larger randomized controlled trial of women undergoing cesarean section at a district hospital in Rwanda. Eligible patients were surveyed at discharge to quantify household income and routine monthly expenditures and direct and indirect spending related to the hospitalization. This was used in conjunction with hospital billing records to calculate the rate of catastrophic expenditure by insurance group. RESULTS: About 94% of the 340 women met the World Bank definition of extreme poverty. Of the 330 (97.1%) with any type of health insurance, the majority (n = 310, 91.2%) have CBHI. The average OOP expenditure for a cesarean section and hospitalization was $9.36. The average cost adding transportation to the hospital was $19.29. 164 (48.2%) had to borrow money and 43 (12.7%) had to sell possessions. The hospital bill alone was a CHE for 5.3% of patients. However, when including transportation costs, 15.4% incurred a CHE and including lost wages, 22.6%. CONCLUSION: To ensure universal health coverage (UHC), essential surgical care must be affordable. Despite enrollment in universal health insurance, cesarean section still impoverishes households in rural Rwanda, the majority of whom already lie below the poverty line. Although CBHI protects against CHE from the cost of healthcare, when adding in the cost of transportation, lost wages and caregivers, cesarean section is still often a catastrophic financial event. Further innovation in financial risk protection is needed to provide equitable UHC.

Use of Convolutional Neural Nets and Transfer Learning for Prediction of Surgical Site Infection from Color Images.

One of the greatest concerns in post-operative care is the infection of the surgical wound. Such infections are a particular concern in global health and low-resource areas, where microbial antibiotic resistance is often common. In order to help address this problem, there is a great interest in developing simple tools for early detection of surgical wounds. Motivated by this need, we describe the development of two Convolutional Neural Net (CNN) models designed to detect an infection in a surgical wound using a color image taken from a mobile device. These models were developed using image data collected from a clinical study with 572 women in Rural Rwanda, who underwent Cesarean section surgery and had photos taken approximately 10 days after surgery. Infected wounds (N=62) were diagnosed by a trained doctor through a physical exam. In our model development, we observed a trade-off between AUC accuracy and sensitivity, and we chose to optimize for sensitivity, to match its use as a screening tool. Our naïve CNN model, with a limited number of convolutions and parameters, achieved median AUC = 0.655, true positive rate sensitivity = 0.75, specificity = 0.58, classification accuracy = 0.86. The second CNN model, developed with transfer learning using the Resnet50 architecture, produced a median AUC = 0.639 sensitivity = 0.92, specificity = 0.18, and classification accuracy 0.82. We discuss the specific training and optimization methods used to compensate for significant class imbalance and maximize sensitivity.

Surgical Site Infections and Antimicrobial Resistance After Cesarean Section Delivery in Rural Rwanda.

Background: As the volume of surgical cases in low- and middle-income countries (LMICs) increases, surgical-site infections (SSIs) are becoming more prevalent with anecdotal evidence of antimicrobial resistance (AMR), despite a paucity of data on resistance patterns. Objectives: As a primary objective, this prospective study aimed to describe the epidemiology of SSIs and the associated AMR among women who delivered by cesarean at a rural Rwandan hospital. As secondary objectives, this study also assessed patient demographics, pre- and post-operative antibiotic use, and SSI treatment. Methods: Women who underwent cesarean deliveries at Kirehe District Hospital between September 23rd, 2019, and March 16th, 2020, were enrolled prospectively. On postoperative day (POD) 11 (+/- 3 days), their wounds were examined. When an SSI was diagnosed, a wound swab was collected and sent to the Rwandan National Reference Laboratory for culturing and antibiotic susceptibility testing. Findings: Nine hundred thirty women were enrolled, of whom 795 (85.5%) returned for the POD 11 clinic visit. 45 (5.7%) of the 795 were diagnosed with SSI and swabs were collected from 44 of these 45 women. From these 44 swabs, 57 potential pathogens were isolated. The most prevalent bacteria were coagulase-negative staphylococci (n = 12/57, 20.3% of all isolates), and Acinetobacter baumannii complex (n = 9/57, 15.2%). 68.4% (n = 39) of isolates were gram negative; 86.7% if excluding coagulase-negative staphylococci. No gram-negative pathogens isolated were susceptible to ampicillin, and the vast majority demonstrated intermediate susceptibility or resistance to ceftriaxone (92.1%) and cefepime (84.6%). Conclusions: Bacterial isolates from SSI swab cultures in rural Rwanda predominantly consisted of gram-negative pathogens and were largely resistant to commonly used antibiotics. This raises concerns about the effectiveness of antibiotics currently used for surgical prophylaxis and treatment and may guide the appropriate selection of treatment of SSIs in rural Rwanda and comparable settings.

Variability of water, sanitation, and hygiene conditions and the potential infection risk following cesarean delivery in rural Rwanda.

Safe water, sanitation, and hygiene (WASH) is critical for the prevention of postpartum infections. The aim of this study was to characterize the WASH conditions women are exposed to following cesarean section in rural Rwanda. We assessed the variability of WASH conditions in the postpartum ward of a district hospital over two months, the WASH conditions at the women's homes, and the association between WASH conditions and suspected surgical site infection (SSI). Piped water flowed more consistently during the rainy month, which increased availability of water for drinking and handwashing (p < 0.05 for all). Latex gloves and hand-sanitizer were more likely to be available on weekends versus weekdays (p < 0.05 for both). Evaluation for suspected SSI after cesarean section was completed for 173 women. Women exposed to a day or more without running water in the hospital were 2.6 times more likely to develop a suspected SSI (p = 0.027). 92% of women returned home to unsafe WASH environments, with notable shortfalls in handwashing supplies and sanitation. The variability in hospital WASH conditions and the poor home WASH conditions may be contributing to SSIs after cesarean section. These relationships must be further explored to develop appropriate interventions to improve mothers' outcomes.

Presentation of Pediatric Unintentional Injuries at Rural Hospitals in Rwanda: A Retrospective Study.

Background: Injuries are a leading cause of mortality among children globally, with children in low- and middle-income countries more likely to die if injured compared to children in high-income countries. Timely and high-quality care are essential to reduce injury-related morbidity and mortality. Objectives: This study describes patterns, management, and outcomes of children 0-15 years presenting with unintentional injuries at three district hospitals in rural Rwanda between January 1 and December 31, 2017. Methods: Using a retrospective cross-sectional study design, we assessed the demographic and clinical characteristics, care provided, and outcomes of the children using data extracted from patient medical charts. We describe the patient population using frequencies and proportions as well as median and interquartile ranges. Findings: Of the 449 injured children who sought care at the three rural district hospitals, 66.2% (n = 297) were boys. The main causes of injury were falls (n = 261, 58.1%), burns (n = 101, 22.5%), and road traffic injuries (n = 67, 14.9%). Burns were the most common injury among children aged 0-5 years while falls were the leading injury type among the 5-15 years age group. Vital signs were inconsistently completed ranging between 23.8-89.1% of vital sign items. Of the injured children, 37.0% (n = 166) received surgery at the district hospital, general practitioners performed 80.9% (n = 114) of surgeries, 87.4% (n = 145) of operated patients received no anesthesia, and 69.3% (n = 311) were admitted to the district hospital, while 2.7% (n = 12) were transferred to tertiary facilities for higher-level care. Conclusions: The presentation of child injuries-namely falls, burns, and road traffic accidents-is similar to what has been reported in other sub-Saharan African countries. However, more needs to be done to improve the completion and documentation of vital signs and increase availability of surgical specialists. Finally, targeted strategies to prevent burns and motorcycle-related injuries are recommended prevention interventions for this rural population.

Diagnosing Post-Cesarean Surgical Site Infections in Rural Rwanda: Development, Validation, and Field Testing of a Screening Algorithm for Use by Community Health Workers.

Background: We aimed to develop and validate a screening algorithm to assist community health workers (CHWs) in identifying surgical site infections (SSIs) after cesarean section (c-section) in rural Africa. Methods: Patients were adult women who underwent c-section at a Rwandan rural district hospital between March and October 2017. A CHW administered a nine-item clinical questionnaire 10 ± 3 days post-operatively. Independently, a general practitioner (GP) administered the same questionnaire and assessed SSI presence by physical examination. The GP's SSI diagnosis was used as the gold standard. Using a simplified Classification and Regression Tree analysis, we identified a subset of screening questions with maximum sensitivity for the GP and CHW and evaluated the subset's sensitivity and specificity in a validation dataset. Then, we compared the subset's results when implemented in the community by CHWs with health center-reported SSI. Results: Of the 596 women enrolled, 525 (88.1%) completed the clinical questionnaire. The combination of questions concerning fever, pain, and discolored drainage maximized sensitivity for both the GPs (sensitivity = 96.8%; specificity = 85.6%) and CHWs (sensitivity = 87.1%; specificity = 73.8%). In the validation dataset, this subset had sensitivity of 95.2% and specificity of 83.3% for the GP-administered questions and sensitivity of 76.2% and specificity of 81.4% for the CHW-administered questions. In the community screening, the overall percent agreement between CHW and health center diagnoses was 81.1% (95% confidence interval: 77.2%-84.6%). Conclusions: We identified a subset of questions that had good predictive features for SSI, but its sensitivity was lower when administered by CHWs in a clinical setting, and it performed poorly in the community. Methods to improve diagnostic ability, including training or telemedicine, must be explored.

Validating the Global Surgery Geographical Accessibility Indicator: Differences in Modeled Versus Patient-Reported Travel Times.

BACKGROUND: Since long travel times to reach health facilities are associated with worse outcomes, geographic accessibility is one of the six core global surgery indicators; this corresponds to the second of the "Three Delays Framework," namely "delay in reaching a health facility." Most attempts to estimate this indicator have been based on geographical information systems (GIS) algorithms. The aim of our study was to compare GIS derived estimates to self-reported travel times for patients traveling to a district hospital in rural Rwanda for emergency obstetric care. METHODS: Our study includes 664 women who traveled to undergo a Cesarean delivery in Kirehe, Rwanda. We compared self-reported travel time from home to the hospital (excluding waiting time) with GIS estimated travel times, which were computed using the World Health Organization tool AccessMod, using linear regression. RESULTS: The majority of patients used multiple modes of transportation (walking = 48.5%, public transport = 74.2%, private transport = 2.9%, and ambulance 70.6%). Self-reported times were longer than GIS estimates by a factor of 1.49 (95% CI 1.40-1.57). Concordance was higher when the GIS model took into account that all patients in Rwanda are referred via their health center (ß = 1.12; 95% CI 1.05-1.18). CONCLUSIONS: To our knowledge, in this largest to date GIS validation study for geographical access to healthcare in low- and middle-income countries, a standard GIS model was found to significantly underestimate real travel time, which likely is in part because it does not model the actual route patients are travelling. Therefore, previous studies of 2-h access to surgery will need to be interpreted with caution, and future studies should take local travelling conditions into account.

Perioperative Management and Outcomes After Cesarean Section-A Cross-Sectional Study From Rural Rwanda.

BACKGROUND: Cesarean sections (c-sections), the most common surgical procedures performed worldwide, are essential in reducing maternal and neonatal deaths. There is a paucity of research studies on c-section care and outcomes in rural African settings. The objective of this study was to describe demographic characteristics, clinical management, and maternal and neonatal outcomes among women receiving c-sections at Kirehe District Hospital (KDH) in rural Rwanda. METHODS: This retrospective cohort study included all women aged ≥ 18 y residing in KDH catchment area who delivered by c-section at KDH between April 1 and September 30, 2017. Demographic and clinical characteristics of these women and their newborns were collected using patient interviews and medical chart extraction. Descriptive analyses were performed, and frequency and percentages are reported. RESULTS: Of the 621 women included in the study, 45.7% (n = 284) were aged 25-34 y; 42.2% (n = 262) were married; 67.5% (n = 419) had primary education; and 75.7% (n = 470) were farmers by occupation. Burundian refugees living in the nearby Mahama Refugee Camp comprised 13.7% (n = 85) of the study population. The most common indication for c-section was having undergone a c-section previously (31.9%, n = 198), followed by acute fetal distress (30.8%, n = 191). Among those with previous c-section as the sole indication for surgery, 85.4% presented as either urgent or emergent cases. Postoperatively, 67.7% spent less than 4 d at the hospital and 96.1% had no postoperative complications before discharge. Approximately 10% (59/572) of neonates were admitted to the neonatal unit, with the most common reason being neonatal infection (59.6%, n = 31). CONCLUSIONS: Our study found that previous delivery via c-section was the primary indication for c-section and that most of these cases were emergent or urgent on presentation. This study highlights the need for further research to explore the feasibility, safety, and appropriateness of vaginal birth after cesarean in rural district hospitals in sub-Saharan Africa.

Health Facility Cost of Cesarean Delivery at a Rural District Hospital in Rwanda Using Time-Driven Activity-Based Costing.

Objective To determine the health facility cost of cesarean section at a rural district hospital in Rwanda. Methods Using time-driven activity-based costing, this study calculated capacity cost rates (cost per minute) for personnel, infrastructure and hospital indirect costs, and estimated the costs of medical consumables and medicines based on purchase prices, all for the pre-, intra- and post-operative periods. We estimated copay (10% of total cost) for women with community-based health insurance and conducted sensitivity analysis to estimate total cost range. Results The total cost of a cesarean delivery was US$339 including US$118 (35%) for intra-operative costs and US$221 (65%) for pre- and post-operative costs. Costs per category included US$46 (14%) for personnel, US$37 (11%) for infrastructure, US$109 (32%) for medicines, US$122 (36%) for medical consumables, and US$25 (7%) for hospital indirect costs. The estimated copay for women with community-based health insurance was US$34 and the total cost ranged from US$320 to US$380. Duration of hospital stay was the main marginal cost variable increasing overall cost by US$27 (8%). Conclusions for Practice The cost of cesarean delivery and the cost drivers (medicines and medical consumables) in our setting were similar to previous estimates in sub-Saharan Africa but higher than earlier average estimate in Rwanda. The estimated copay is potentially catastrophic for poor rural women. Investigation on the impact of true out of pocket costs on women's health outcomes, and strategies for reducing duration of hospital stay while maintaining high quality care are recommended.

Application of Machine Learning to Prediction of Surgical Site Infection.

Surgical site infections are an important health concern, particularly in low-resource areas, where there is poor access to clinical facilities or trained clinical staff. As an application of machine learning, we present results from a study conducted in rural Rwanda for the purpose of predicting infection in Cesarean section wounds, which is a leading cause of maternal mortality. Questionnaire and image data were collected from 572 mothers approximately 10 days after surgery at a district hospital. Of the 572 women, 61 surgical wounds were determined to be infected as determined by a physical exam conducted by trained doctors. Machine learning models, logistic regression and Support Vector Machines (SVM), were developed independently for the questionnaire data and the image data. For the questionnaire data, the best results were achieved by the Logistic regression model, with an AUC Accuracy = 96.50% (93.0%-99.3%), Sensitivity = 0.71 (0.33 - 0.92), and Specificity = 0.99 (0.98 - 1.00). The features with the greatest predictive value were the presence of malcolored drainage from the wound and the presence of an odorous discharge from the wound. Using the image data alone, the SVM model performed best, with an AUC Accuracy = 99.5% (99.2%-100%), Sensitivity = 0.99 (0.99 - 1.00), and Specificity = 0.99 (0.99 - 1.00). Combining both questionnaire data and image data, the SVM model achieved an AUC Accuracy = 99.9% (99.7%-100%), Sensitivity = 0.99 (0.99 -1.00), and Specificity = 0.99 (0.99 - 1.00). Results from this initial study are very encouraging and demonstrate that good objective prediction of surgical infection for women in rural Rwanda is feasible using machine learning, even when using image data alone.

Using mobile health technology and community health workers to identify and refer caesarean-related surgical site infections in rural Rwanda: a randomised controlled trial protocol.

INTRODUCTION: Surgical site infections (SSIs) are a significant cause of morbidity and mortality in low-income and middle-income countries, where rates of SSIs can reach 30%. Due to limited access, there is minimal follow-up postoperatively. Community health workers (CHWs) have not yet been used for surgical patients in most settings. Advancements in telecommunication create an opportunity for mobile health (mHealth) tools to support CHWs. We aim to evaluate the use of mHealth technology to aid CHWs in identification of SSIs and promote referral of patients back to healthcare facilities. METHODS AND ANALYSIS: Prospective randomised controlled trial conducted at Kirehe District Hospital, Rwanda, from November 2017 to November 2018. Patients ≥18 years who undergo caesarean section are eligible. Non-residents of Kirehe District or patients who remain in hospital >10 days postoperatively will be excluded. Patients will be randomised to one of three arms. For arm 1, a CHW will visit the patient's home on postoperative day 10 (±3 days) to administer an SSI screening protocol (fever, pain or purulent drainage) using an electronic tablet. For arm 2, the CHW will administer the screening protocol over the phone. For both arms 1 and 2, the CHW will refer patients who respond 'yes' to any of the questions to a health facility. For arm 3, patients will not receive follow-up care. Our primary outcome will be the impact of the mHealth-CHW intervention on the rate of return to care for patients with an SSI. ETHICS AND DISSEMINATION: The study has received ethical approval from the Rwandan National Ethics Committee and Partners Healthcare. Results will be disseminated to Kirehe District Hospital, Rwanda Ministry of Health, Rwanda Surgical Society, Partners In Health, through conferences and peer-reviewed publications. TRIAL REGISTRATION NUMBER: NCT03311399.

Emergency general surgery in Rwandan district hospitals: a cross-sectional study of spectrum, management, and patient outcomes.

BACKGROUND: Management of emergency general surgical conditions remains a challenge in rural sub-Saharan Africa due to issues such as insufficient human capacity and infrastructure. This study describes the burden of emergency general surgical conditions and the ability to provide care for these conditions at three rural district hospitals in Rwanda. METHODS: This retrospective cross-sectional study included all patients presenting to Butaro, Kirehe and Rwinkwavu District Hospitals between January 1st 2015 and December 31st 2015 with emergency general surgical conditions, defined as non-traumatic, non-obstetric acute care surgical conditions. We describe patient demographics, clinical characteristics, management and outcomes. RESULTS: In 2015, 356 patients presented with emergency general surgical conditions. The majority were male (57.2%) and adults aged 15-60 years (54.5%). The most common diagnostic group was soft tissue infections (71.6%), followed by acute abdominal conditions (14.3%). The median length of symptoms prior to diagnosis differed significantly by diagnosis type (p < 0.001), with the shortest being urological emergencies at 1.5 days (interquartile range (IQR):1, 6) and the longest being complicated hernia at 17.5 days (IQR: 1, 208). Of all patients, 54% were operated on at the district hospital, either by a general surgeon or general practitioner. Patients were more likely to receive surgery if they presented to a hospital with a general surgeon compared to a hospital with only general practitioners (75% vs 43%, p < 0.001). In addition, the general surgeon was more likely to treat patients with complex diagnoses such as acute abdominal conditions (33.3% vs 4.1%, p < 0.001) compared to general practitioners. For patients who received surgery, 73.3% had no postoperative complications and 3.2% died. CONCLUSION: While acute abdominal conditions are often considered the most common emergency general surgical condition in sub-Saharan Africa, soft tissue infections were the most common in our setting. This could represent a true difference in epidemiology in rural settings compared to referral facilities in urban settings. Patients were more likely to receive an operation in a hospital with a general surgeon as opposed to a general practitioner. This provides evidence to support increasing the surgical workforce in district hospitals in order to increase surgical availability for patients.

Longer travel time to district hospital worsens neonatal outcomes: a retrospective cross-sectional study of the effect of delays in receiving emergency cesarean section in Rwanda.

BACKGROUND: In low-resource settings, access to emergency cesarean section is associated with various delays leading to poor neonatal outcomes. In this study, we described the delays a mother faces when needing emergency cesarean delivery and assessed the effect of these delays on neonatal outcomes in Rwanda. METHODS: This retrospective study included 441 neonates and their mothers who underwent emergency cesarean section in 2015 at three district hospitals in Rwanda. Four delays were measured: duration of labor prior to hospital admission, travel time from health center to district hospital, time from admission to surgical incision, and time from decision for emergency cesarean section to surgical incision. Neonatal outcomes were categorized as unfavorable (APGAR <7 at 5 min or death) and favorable (alive and APGAR ≥7 at 5 min). We assessed the relationship between each type of delay and neonatal outcomes using multivariate logistic regression. RESULTS: In our study, 9.1% (40 out of 401) of neonates had an unfavorable outcome, 38.7% (108 out of 279) of neonates' mothers labored for 12-24 h before hospital admission, and 44.7% (159 of 356) of mothers were transferred from health centers that required 30-60 min of travel time to reach the district hospital. Furthermore, 48.1% (178 of 370) of cesarean sections started within 5 h after hospital admission and 85.2% (288 of 338) started more than 30 min after the decision for cesarean section was made. Neonatal outcomes were significantly worse among mothers with more than 90 min of travel time from the health center to the district hospital compared to mothers referred from health centers located on the same compound as the hospital (aOR = 5.12, p = 0.02). Neonates with cesarean deliveries starting more than 30 min after decision for cesarean section had better outcomes than those starting immediately (aOR = 0.32, p = 0.04). CONCLUSIONS: Longer travel time between health center and district hospital was associated with poor neonatal outcomes, highlighting a need to decrease barriers to accessing emergency maternal services. However, longer decision to incision interval posed less risk for adverse neonatal outcome. While this could indicate thorough pre-operative interventions including triage and resuscitation, this relationship should be studied prospectively in the future.