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Experiences of Using Cochrane Systematic Reviews by Local HTA Units
Thomas G Poder1,2, Marc Rhainds3, Christian A Bellemare4
1Department of Management, Evaluation and Health Policy, School of Public Health, University of Montreal, Montréal, QC, Canada.
Local health technology assessment units in Quebec highly value Cochrane systematic reviews (CSRs) for hospital decision-making. However, challenges in applying CSR evidence to local contexts limit their full implementation and necessitate complementary data.
Area of Science:
- Health Services Research
- Evidence-Based Practice
- Health Technology Assessment
Background:
- Cochrane systematic reviews (CSRs) are valuable resources for healthcare decision-making.
- Local health technology assessment (HTA) units play a crucial role in hospital efficiency.
- Understanding the utilization of CSRs in local HTA is essential for optimizing evidence-informed practice.
Purpose of the Study:
- To evaluate the use of CSRs by Quebec's local HTA units.
- To identify facilitators and barriers to implementing CSR evidence in hospital decision-making.
- To gather suggestions for improving the application of CSRs in local HTA.
Main Methods:
- An online survey was administered to Quebec's local HTA units.
- The survey examined HTA unit characteristics, knowledge of Cochrane resources, satisfaction with CSRs, and implementation factors.
- Data accuracy was ensured through evaluation by two independent reviewers.
Main Results:
- Ten HTA units participated, with 49.8% of their 321 published reports including a CSR.
- Cochrane Collaboration resources were well-known, and satisfaction with CSRs was high (80%-100%).
- Strengths included use for search terms and reducing workload, while weaknesses involved limited availability, difficulty in local application, and narrow focus (efficacy/innocuity).
Conclusions:
- CSRs are highly valued and known by local HTA units, serving as useful supplementary resources.
- The primary limitation for CSRs in local HTA is the lack of contextualization.
- Integrating experimental data with contextual data is crucial for decision-making adapted to local hospital issues.
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