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

The impact of surgical delay on resectability of colorectal cancer: An international prospective cohort study

AIM: The SARS-CoV-2 pandemic has provided a unique opportunity to explore the impact of surgical delays on cancer resectability. This study aimed to compare resectability for colorectal cancer patients undergoing delayed versus non-delayed surgery. METHODS: This was an international prospective cohort study of consecutive colorectal cancer patients with a decision for curative surgery (January-April 2020). Surgical delay was defined as an operation taking place more than 4 weeks after treatment decision, in a patient who did not receive neoadjuvant therapy. A subgroup analysis explored the effects of delay in elective patients only. The impact of longer delays was explored in a sensitivity analysis. The primary outcome was complete resection, defined as curative resection with an R0 margin. RESULTS: Overall, 5453 patients from 304 hospitals in 47 countries were included, of whom 6.6% (358/5453) did not receive their planned operation. Of the 4304 operated patients without neoadjuvant therapy, 40.5% (1744/4304) were delayed beyond 4 weeks. Delayed patients were more likely to be older, men, more comorbid, have higher body mass index and have rectal cancer and early stage disease. Delayed patients had higher unadjusted rates of complete resection (93.7% vs. 91.9%, P = 0.032) and lower rates of emergency surgery (4.5% vs. 22.5%, P < 0.001). After adjustment, delay was not associated with a lower rate of complete resection (OR 1.18, 95% CI 0.90-1.55, P = 0.224), which was consistent in elective patients only (OR 0.94, 95% CI 0.69-1.27, P = 0.672). Longer delays were not associated with poorer outcomes. CONCLUSION: One in 15 colorectal cancer patients did not receive their planned operation during the first wave of COVID-19. Surgical delay did not appear to compromise resectability, raising the hypothesis that any reduction in long-term survival attributable to delays is likely to be due to micro-metastatic disease

Analysis of COVID-19 Infection Chains in a School Setting: Data From a School-Based rRT-PCR–Gargle Pool Test System

Background: School testing for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) was implemented in some countries to monitor and prevent SARS-CoV-2 transmissions. Here, we analyze infection chains in primary schools and household members of infected students based on systematic real-time reverse-transcriptase polymerase-chain-reaction (rRT-PCR)–gargle pool testing. Methods: Students and school staff (N = 4300) of all 38 primary schools in the rural county of Cham, Germany, were tested twice per week with a gargle pool rRT-PCR system from April to July of 2021. Infection chains of all 8 positive cases identified by school testing were followed up. Results: In total, 8 positive cases were found by gargle pool PCR testing based on 96,764 school tests. While no transmissions occurred in the school setting, 20 of 27 household members of the 8 cases tested positive. The overall attack rate was 74.1% in families. Conclusions: No school outbreaks occurred during the study period. All cases but 1 were initially picked up by school testing. No transmission from school to families was observed

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 (β = 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

Association between arterial stiffness and peripheral artery disease as measured by radial artery tonometry

ObjectiveArterial stiffness and peripheral artery disease (PAD) are both associated with an elevated risk of major adverse cardiac events; however, the association between arterial stiffness and PAD is less well characterized. The goal of this study was to examine the association between parameters of radial artery tonometry, a noninvasive measure of arterial stiffness, and PAD.MethodsWe conducted a cross-sectional study of 134 vascular surgery outpatients (controls, 33; PAD, 101) using arterial applanation tonometry. Central augmentation index (AIX) normalized to 75 beats/min and peripheral AIX were measured using radial artery pulse wave analysis. Pulse wave velocity was recorded at the carotid and femoral arteries. PAD was defined as symptomatic claudication with an ankle-brachial index of&nbsp;&lt;0.9 or a history of peripheral revascularization. Controls had no history of atherosclerotic vascular disease and an ankle-brachial index ≥0.9.ResultsAmong the 126 participants with high-quality tonometry data, compared with controls (n&nbsp;= 33), patients with PAD (n&nbsp;= 93) were older, with higher rates of hypertension, hyperlipidemia, diabetes, and smoking (P&nbsp;&lt; .05). Patients with PAD also had greater arterial stiffness as measured by central AIX, peripheral AIX, and pulse wave velocity (P&nbsp;&lt; .05). In a multivariable model, a significantly increased odds of PAD was associated with each 10-unit increase in central AIX (odds&nbsp;ratio, 2.1; 95% confidence interval, 1.1-3.9; P&nbsp;= .03) and peripheral AIX (odds ratio, 1.9; 95% confidence interval, 1.2-3.2; P&nbsp;= .01). In addition, central and peripheral AIX were highly correlated (r120&nbsp;= 0.76; P&nbsp;&lt; .001).ConclusionsIn a cross-sectional analysis, arterial stiffness as measured by the AIX is independently associated with PAD, even when adjusting for several atherosclerotic risk factors. Further prospective data are needed to establish whether radial artery tonometry could be a tool for risk stratification in the PAD population

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

BackgroundThe 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. ObjectiveThis 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. MethodsA 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. ResultsThe 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). ConclusionsHome-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 RegistrationClinicalTrials.gov NCT03311399; https://clinicaltrials.gov/ct2/show/NCT0331139

The need to collect, aggregate, and analyze global anesthesia and surgery data

In the Sustainable Development Goals era, there is a new awareness of the need for an integrated approach to healthcare interventions and a strong commitment to Universal Health Coverage. To achieve the goal of strengthening entire health systems, surgery, as a crosscutting treatment modality, is indispensable. For any health system strengthening exercise, baseline data and longitudinal monitoring of progress are necessary. With improved data capabilities, there are unparalleled possibilities to map out and understand systems, integrating data from many sources and sectors. Nevertheless, there is also a need to prioritize among indicators to avoid information overload and data collection fatigue. There is a similar need to define indicators and collection methodology to create standardized and comparable data. Finally, there is a need to establish data pathways to ensure clear responsibilities amongst national and international institutions and integrate surgical metrics into existing mechanisms for sustainable data collection. This is a call to collect, aggregate, and analyze global anesthesia and surgery data, with an account of existing data sources and a proposed way forward

The need to collect, aggregate, and analyze global anesthesia and surgery data.

In the Sustainable Development Goals era, there is a new awareness of the need for an integrated approach to healthcare interventions and a strong commitment to Universal Health Coverage. To achieve the goal of strengthening entire health systems, surgery, as a crosscutting treatment modality, is indispensable. For any health system strengthening exercise, baseline data and longitudinal monitoring of progress are necessary. With improved data capabilities, there are unparalleled possibilities to map out and understand systems, integrating data from many sources and sectors. Nevertheless, there is also a need to prioritize among indicators to avoid information overload and data collection fatigue. There is a similar need to define indicators and collection methodology to create standardized and comparable data. Finally, there is a need to establish data pathways to ensure clear responsibilities amongst national and international institutions and integrate surgical metrics into existing mechanisms for sustainable data collection. This is a call to collect, aggregate, and analyze global anesthesia and surgery data, with an account of existing data sources and a proposed way forward