Making evidence more wanted: a systematic review of facilitators to enhance the uptake of evidence from systematic reviews and meta-analyses
Bibliographic record
Abstract
CONTEXT: The increased uptake of evidence from systematic reviews is advocated because of their potential to improve the quality of decision making for patient care. Systematic reviews can do this by decreasing inappropriate clinical variation and quickly expediting the application of current, effective advances to everyday practice. However, research suggests that evidence from systematic reviews has not been widely adopted by health professionals. Little is known about the facilitators to uptake of research evidence from systematic reviews and meta-analyses. OBJECTIVE: To review the facilitators to the uptake by decision makers, of evidence from systematic, meta-analyses and the databases containing them. SEARCH STRATEGY: We searched 19 databases covering the full range of publication years, utilised three search engines and also personally contacted investigators. Grey literature and knowledge translation research was particularly sought. Reference lists of primary studies and related reviews were also searched. SELECTION CRITERIA: Studies were included if they reported on the views and perceptions of decision makers on the uptake of evidence from systematic reviews, meta-analyses and the databases associated with them. One investigator screened titles to identify candidate articles, and then two reviewers independently assessed the relevance of retrieved articles to exclude studies that did not meet the inclusion criteria. Quality of the included studies was also assessed. DATA EXTRACTION: Using a pre-established taxonomy, two reviewers described the methods of included studies and extracted data that were summarised in tables and then analysed. Differences were resolved by consensus. RESULTS: Of articles initially identified, we selected unique published studies describing at least one facilitator to the uptake of evidence from systematic reviews. The 15 unique studies reported 10 surveys, three qualitative investigations and two mixed studies that addressed potential facilitators. Five studies were from Canada, four from the UK, three from Australia, one from Iran and one from South-east Asia (Indonesia, Malaysia, Thailand and the Philippines), with one study covering both Canada and UK. In total, the 15 studies covered eight countries from four continents. Of 2495 participants in the 15 studies, at least 1343 (53.8%) were physicians. Perceived facilitators to the use of evidence from systematic reviews varied. The 15 studies yielded 54 potential facilitators to systematic review uptake. The five most commonly reported perceived facilitators to uptake of evidence from systematic reviews were the following: the perception that systematic reviews have multiple uses for improving knowledge, research, clinical protocols and evidence-based medicine skills (6/15); a content that included benefits, harms and costs and is current, transparent and timely (6/15); a format with a 1:3:25 staged access and executive summary (5/15); training in use (4/15); and peer-group support (4/15). CONCLUSION: The results expand our understanding of how multiple factors act as facilitators to optimal clinical practice. This systematic review reveals that interventions to foster uptake of evidence from systematic reviews, meta-analyses and The Cochrane Library can build on a broad range of facilitators.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.270 | 0.477 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.045 | 0.016 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.011 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".