Background There are few prospective studies of outcomes following surgery in rural district hospitals in sub‐Saharan Africa. This study aimed to estimate the prevalence and predictors of surgical‐site infection (SSI) following caesarean section at Kirehe District Hospital in rural Rwanda. Methods Adult women who underwent caesarean section between March and October 2017 were given a voucher to return to the hospital on postoperative day (POD) 10 (±3 days). At the visit, a physician evaluated the patient for an SSI. A multivariable logistic regression model was used to identify risk factors for SSI, built using backward stepwise selection. Results Of 729 women who had a caesarean section, 620 were eligible for follow‐up, of whom 550 (88·7 per cent) returned for assessment. The prevalence of SSI on POD 10 was 10·9 per cent (60 women). In the multivariable analysis, the following factors were significantly associated with SSI: bodyweight more than 75 kg (odds ratio (OR) 5·98, 1·56 to 22·96; P = 0·009); spending more than €1·1 on travel to the health centre (OR 2·42, 1·31 to 4·49; P = 0·005); being a housewife compared with a farmer (OR 2·93, 1·08 to 7·97; P = 0·035); and skin preparation with a single antiseptic compared with a combination of two antiseptics (OR 4·42, 1·05 to 18·57; P = 0·043). Receiving either preoperative or postoperative antibiotics was not associated with SSI. Conclusion The prevalence of SSI after caesarean section is consistent with rates reported at tertiary facilities in sub‐Saharan Africa. Combining antiseptic solutions for skin preparation could reduce the risk of SSI.

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 (b = 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. Niclas Rudolfson and Magdalena Gruendl are co-first authors.

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Background Increasing numbers of HIV-infected children not yet eligible for antiretroviral therapy (ART) are entering health care in Africa. We sought to characterize the risk of short-term disease progression in this population. Methods In a cohort of HIV-infected ART-naive and -ineligible Ugandan children >1 year old, the rates of clinical/immunologic progression within 2 years were assessed using Kaplan–Meier survival analysis and multivariate Cox proportional-hazards modeling. Results Among 192 children (mean age: 6.4 years, CD4%:25), 19% progressed within 2 years by WHO-stage 3/4 event(n=22), death (n=3), or WHO-defined CD4 threshold for ART-initiation(n=12). Significant univariate predictors were CD4%(HR=2.0 per 10% decrease, p=0.005), HIV-RNA level(HR=2.4 per log10 increase, p=0.002), male gender (HR:2.0, p=0.04), age < 3 years (HR=3.7, p=0.001), CD4-activation [%CD4+CD38+HLADR+] (HR=1.6 per 10% increase, p=0.05) and CD8-activation [%CD8+CD38+HLADR+](HR=1.3 per 10% increase, p=0.05] (HR=1.3, p=0.5). In multivariate analysis, CD4%(HR=2.0, p=0.034), HIV-RNA level(HR=1.8, p=0.013) and age < 3 years (HR:3.0, p=0.008) were independently predictive. Children with HIV-RNA >105 copies/ml and CD4% <25 had progression rates of 29% (1 year) and 34% (2 years). Conclusions Even with frequent CD4 monitoring, HIV-infected Ugandan children experienced significant clinical events while ineligible for ART. Alternate strategies for monitoring or ART-initiation may be needed to improve outcomes.

Background: To eliminate hepatitis C, Rwanda is conducting national mass screenings and providing hepatitis C patients with free access to Direct Acting Antivirals (DAAs). Until 2020, all prescribers trained and authorized to initiate DAA treatment were based at District Hospitals, and access to DAAs remains expensive and geographically difficult for rural patients. We designed and implemented a mobile hepatitis clinic to provide DAA treatment initiation at primary-level health facilities among hepatitis C patients identified through mass screening campaigns in rural Kirehe and Kayonza districts. Methods: The mobile clinic team was composed of one clinician trained and authorized to manage hepatitis, one lab technician, and one driver. Eligible patients received same-day clinical consultations, counselling, laboratory tests and DAA initiation. Using clinical databases, registers, and program records, we compared the number of patients who initiated DAA treatment before and during the mobile clinic campaign. We assessed linkage to care during the mobile clinical campaign and assessed predictors of linkage to care. We also estimated the cost per patient of providing mobile services and the reduction in out-of-pocket costs associated with accessing DAA treatment through the mobile clinic rather than the standard of care.Results: Prior to the mobile clinic, only 408 patients in Kirehe and Kayonza had been initiated on DAAs over a 25-month period. Between November 2019 and January 2020, out of 661 eligible patients with chronic hepatitis C, 429 (64.9%) were linked to care through the mobile clinic. Having a telephone number and complete address recorded at screening were strongly associated with linkage to care. The cost per patient of the mobile clinic program was 29.36 USD, excluding government-provided DAAs. Providing patients with same-day laboratory tests and clinical consultation at primary-level health facilities reduced out-of-pocket expenses by 9.88 USD. Conclusion: The mobile clinic model was a feasible strategy for providing rapid treatment initiation among hepatitis C patients identified through a mass screening campaign. Compared to the standard of care, mobile clinics reached more patients in a much shorter time. This low-cost strategy also reduced out-of-pocket expenditures among patients. However, long-term, sustainable care would require decentralization to the primary health-center level.