Background: COVID-19 has dramatically affected the delivery of health care and technical assistance. This is true in Tanzania, where maternal mortality and surgical infection rates are significantly higher than in high-income countries. This paper describes lessons learned about the optimal application of in-person and virtual mentorship in the Safe Surgery 2020 program to improve the quality of surgical services in Tanzania before and after the COVID-19 pandemic.
View Article and Find Full Text PDFBMJ Glob Health
December 2021
Introduction: Despite ongoing maternal health interventions, maternal deaths in Tanzania remain high. One of the main causes of maternal mortality includes postoperative infections. Surgical site infection (SSI) rates are higher in low/middle-income countries (LMICs), such as Tanzania, compared with high-income countries.
View Article and Find Full Text PDFBackground: Evidence-based strategies for improving surgical quality and patient outcomes in low-resource settings are a priority.
Objective: To evaluate the impact of a multicomponent safe surgery intervention (Safe Surgery 2020) on (1) adherence to safety practices, teamwork and communication, and documentation in patient files, and (2) incidence of maternal sepsis, postoperative sepsis, and surgical site infection.
Methods: We conducted a prospective, longitudinal study in 10 intervention and 10 control facilities in Tanzania's Lake Zone, across a 3-month pre-intervention period in 2018 and 3-month post-intervention period in 2019.
Background: Evidence on heterogeneity in outcomes of surgical quality interventions in low-income and middle-income countries is limited. We explored factors driving performance in the Safe Surgery 2020 intervention in Tanzania's Lake Zone to distil implementation lessons for low-resource settings.
Methods: We identified higher (n=3) and lower (n=3) performers from quantitative data on improvement from 14 safety and teamwork and communication indicators at 0 and 12 months from 10 intervention facilities, using a positive deviance framework.