BackgroundSurgical site infection (SSI) is a common post-operative complication causing significant morbidity and mortality. Many SSI occur after discharge from hospital. Post-discharge SSI surveillance in low and middle income countries needs to be improved.MethodologyWe conducted an observational cohort study in Dodoma, Tanzania to examine the sensitivity and specificity of telephone calls to detect SSI after discharge from hospital in comparison to a gold standard of clinician review. Women undergoing caesarean section were enrolled and followed up for 30 days. Women providing a telephone number were interviewed using a structured questionnaire at approximately days 5, 12 and 28 post-surgery. Women were then invited for out-patient review by a clinician blinded to the findings of telephone interview.ResultsA total of 374 women were enrolled and an overall SSI rate of 12% (n = 45) was observed. Three hundred and sixteen (84%) women provided a telephone number, of which 202 had at least one telephone interview followed by a clinical review within 48 h, generating a total of 484 paired observations. From the clinical reviews, 25 SSI were diagnosed, of which telephone interview had correctly identified 18 infections; telephone calls did not incorrectly identify SSI in any patients. The overall sensitivity and specificity of telephone interviews as compared to clinician evaluation was 72 and 100%, respectively.ConclusionThe use of telephone interview as a diagnostic tool for post-discharge surveillance of SSI had moderate sensitivity and high specificity in Tanzania. Telephone-based detection may be a useful method for SSI surveillance in low-income settings with high penetration of mobile telephones.

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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.