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This discussion by Gilles Van Cutsem, MD, DTMH, MPH, from Médecins Sans Frontières, explores the synergy between operational healthcare delivery and research initiatives. Key characteristics include a clear agenda aligned with global priorities, strong district-level coordination, and enhanced monitoring and evaluation. The focus is on integrating research within routine health services without disrupting patient care, ensuring community relevance, and building local capacity. Key projects include studying tuberculosis drug resistance and implementing pragmatic trials, demonstrating the importance of collaboration for health system strengthening.
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Operations versus research: cohabitation or collaboration? Gilles Van Cutsem MD, DTMH, MPH Medecins Sans Frontieres
Key characteristics • Clear agenda informed by global priorities • Enhanced monitoring and evaluation: • Strong district-level coordination • Ongoing supervision, mentoring and training • Communication between M&E, clinicians, and management • Partnership with government health services • Strong academic collaborations (UCT, US, …) • Balancing exercise between service delivery and research priorities
Guiding principles • Relevance and benefit to the community • Patient care is not disrupted • Involvement of local health care providers: capacity building and local interest • Synergy and coherence between projects • Integration within routine health services • Contribution to service delivery
Study designs • Observational cohorts (prospective) • Retrospective cohort (folder reviews) • Model descriptions • Validation and field-testing of diagnostics • Pragmatic trials • Other nested within cohort: • PK • Cost-efficiency
How is this different from usual? • ‘Real world’ setting – generalizability • Constant interaction between operations and research > one informs the other. • NGO & public health sector: no publication pressure as opposed to academic > less conflict of interest between service delivery and research demands • Research as a second job: capacity problem
First description of ART at PHC in Africa • Use of enhanced routine data • Observational cohort – quantitative • Model of care - descriptive
Kaplan-Meier failure estimate 0.20 d4T 0.15 0.10 AZT Proportion changed due to toxicity NVP 0.05 EFV 0.00 0 6 12 18 24 30 36 Months on ART Sentinel surveillance informing policy
Large research projects • Tuberculosis drug resistance survey • Randomized controlled trial of isoniazid vs placebo
Ubuntu Clinic Research Committee • Protect services from research chaos • Composed of MoH, NGO, academia • Evaluate impact on service delivery & overall cohesion (guiding principles) • Empower ‘coal-face’ workers to have their say in what is happening in their clinic