RESUMO
BACKGROUND: A well-qualified workforce is critical to effective functioning of health systems and populations; however, skill gaps present a challenge in low-resource settings. While an emerging body of evidence suggests that mentorship can improve quality, access, and systems in African health settings by building the capacity of health providers, less is known about its implementation in surgery. We studied a novel surgical mentorship intervention as part of a safe surgery intervention (Safe Surgery 2020) in five rural Ethiopian facilities to understand factors affecting implementation of surgical mentorship in resource-constrained settings. METHODS: We designed a convergent mixed-methods study to understand the experiences of mentees, mentors, hospital leaders, and external stakeholders with the mentorship intervention. Quantitative data was collected through a survey (n = 25) and qualitative data through in-depth interviews (n = 26) in 2018 to gather information on (1) intervention characteristics including areas of mentorship, mentee-mentor relationships, and mentor characteristics, (2) organizational context including facilitators and barriers to implementation, (3) perceived impact, and (4) respondent characteristics. We analyzed the quantitative and qualitative data using frequency analysis and the constant comparison method, respectively; we integrated findings to identify themes. RESULTS: All mentees (100%) experienced the intervention as positive. Participants perceived impact as: safer and more frequent surgical procedures, collegial bonds between mentees and mentors, empowerment among mentees, and a culture of continuous learning. Over 70% of all mentees reported their confidence and job satisfaction increased. Supportive intervention characteristics included a systems focus, psychologically safe mentee-mentor relationships, and mentor characteristics including generosity with time and knowledge, understanding of local context, and interpersonal skills. Supportive organizational context included a receptive implementation climate. Intervention challenges included insufficient clinical training, inadequate mentor support, and inadequate dose. Organizational context challenges included resource constraints and a lack of common understanding of the intervention. CONCLUSION: We offer lessons for intervention designers, policy makers, and practitioners about optimizing surgical mentorship interventions in resource-constrained settings. We attribute the intervention's success to its holistic approach, a receptive climate, and effective mentee-mentor relationships. These qualities, along with policy support and adapting the intervention through user feedback are important for successful implementation.
Assuntos
Tutoria , Mentores , Pessoal Administrativo , Humanos , Satisfação no Emprego , Avaliação de Programas e Projetos de Saúde , Inquéritos e QuestionáriosRESUMO
Background: One key challenge in improving surgical care in resource-limited settings is the lack of high-quality and informative data. In Ethiopia, the Safe Surgery 2020 (SS2020) project developed surgical key performance indicators (KPIs) to evaluate surgical care within the country. New data collection methods were developed and piloted in 10 SS2020 intervention hospitals in the Amhara and Tigray regions of Ethiopia. Objective: To assess the feasibility of collecting and reporting new surgical indicators and measure the impact of a surgical Data Quality Intervention (DQI) in rural Ethiopian hospitals. Methods: An 8-week DQI was implemented to roll-out new data collection tools in SS2020 hospitals. The Kirkpatrick Method, a widely used mixed-method evaluation framework for training programs, was used to assess the impact of the DQI. Feedback surveys and focus groups at various timepoints evaluated the impact of the intervention on surgical data quality, the feasibility of a new data collection system, and the potential for national scale-up. Results: Results of the evaluation are largely positive and promising. DQI participants reported knowledge gain, behavior change, and improved surgical data quality, as well as greater teamwork, communication, leadership, and accountability among surgical staff. Barriers remained in collection of high-quality data, such as lack of adequate human resources and electronic data reporting infrastructure. Conclusions: Study results are largely positive and make evident that surgical data capture is feasible in low-resource settings and warrants more investment in global surgery efforts. This type of training and mentorship model can be successful in changing individual behavior and institutional culture regarding surgical data collection and reporting. Use of the Kirkpatrick Framework for evaluation of a surgical DQI is an innovative contribution to literature and can be easily adapted and expanded for use within global surgery.