ArticleMedical care2019
"Implementation Is so Difficult": Survey of National Learning Health System Decision-makers Identifies Need For Implementation Information in Evidence Reviews.
Article in Medical care, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
5 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Implementation strategies and outcome measures for advancing learning health systems: a mixed methods systematic review.Health research policy and systems · 2023Pooled it
- The Science of Learning Health Systems: Scoping Review of Empirical Research.JMIR medical informatics · 2022Article
- Integration of patient and clinician narratives into systematic reviews: An applied proof of concept.Journal of clinical and translational science · 2021Article
- New (and Not so New) Directions in Evidence Synthesis Methods and Application in a Learning Health Care System.Medical care · 2019Article
- Transforming into a Learning Health System: A Quality Improvement Initiative.Pediatric quality & safetyArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundEvidence use within learning health care systems can improve patient health outcomes. Embedded in the Veterans Health Administration (VHA) since 2007, the Veterans Affairs Evidence Synthesis Program (ESP) provides tailored evidence synthesis services to support VHA's learning health care system goals. As part of the ESP's ongoing quality improvement efforts, we have been surveying our users since 2016.
methodsWe reviewed data from a survey of end-users received between September 5, 2016, and June 10, 2019. The survey assessed: (1) nature of decision-making needs; (2) actions resulting from the report's findings; (3) implementation timeframe; and (4) overall perception of report content.
resultsFeedback was received from 66 of the 138 operational partners requesting ESP products during the fiscal year 2015 through 2018. Requests commonly informed clinical guidance (58%), identified future research needs (58%), and determined VHA-specific implementation strategy (47%). A total of 91% of responders used reports, typically within 3 months after completion (82%). Use was typically for VHA publications and/or presentations to inform VHA policy or guidance (26%), to inform intervention/strategy adoption decisions (23%) and for medical device and therapy procurement decisions (21%). Over half (53%) of respondents indicated that it would be useful for ESP reports to include more guidance on implementing findings.
conclusionOur survey of learning health system decision-makers' actual patterns and timing of evidence use provides valuable new information that can further support development of other health system and evidence producer partnerships and identifies key needs for better supporting health systems' uptake of evidence.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.