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Tools developed and disseminated by guideline producers to promote the uptake of their guidelines

Overview of attention for article published in Cochrane database of systematic reviews, August 2016
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (91st percentile)
  • Good Attention Score compared to outputs of the same age and source (73rd percentile)

Mentioned by

twitter
39 tweeters
facebook
3 Facebook pages

Citations

dimensions_citation
68 Dimensions

Readers on

mendeley
252 Mendeley
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1 CiteULike
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Title
Tools developed and disseminated by guideline producers to promote the uptake of their guidelines
Published in
Cochrane database of systematic reviews, August 2016
DOI 10.1002/14651858.cd010669.pub2
Pubmed ID
Authors

Gerd Flodgren, Amanda M Hall, Lucy Goulding, Martin P Eccles, Jeremy M Grimshaw, Gillian C Leng, Sasha Shepperd

Abstract

The uptake of clinical practice guidelines (CPGs) is inconsistent, despite their potential to improve the quality of health care and patient outcomes. Some guideline producers have addressed this problem by developing tools to encourage faster adoption of new guidelines. This review focuses on the effectiveness of tools developed and disseminated by guideline producers to improve the uptake of their CPGs. To evaluate the effectiveness of implementation tools developed and disseminated by guideline producers, which accompany or follow the publication of a CPG, to promote uptake. A secondary objective is to determine which approaches to guideline implementation are most effective. We searched the Cochrane Effective Practice and Organisation of Care (EPOC) Group Specialised Register, Cochrane Central Register of Controlled Trials (CENTRAL); NHS Economic Evaluation Database, HTA Database; MEDLINE and MEDLINE In-Process and other non-indexed citations; Embase; PsycINFO; CINAHL; Dissertations and Theses, ProQuest; Index to Theses; Science Citation Index Expanded, ISI Web of Knowledge; Conference Proceedings Citation Index - Science, ISI Web of Knowledge; Health Management Information Consortium (HMIC), and NHS Evidence up to February 2016. We also searched trials registers, reference lists of included studies and relevant websites. We included randomised controlled trials (RCTs) and cluster-RCTs, controlled before-and-after studies (CBAs) and interrupted time series (ITS) studies evaluating the effects of guideline implementation tools developed by recognised guideline producers to improve the uptake of their own guidelines. The guideline could target any clinical area. Two review authors independently extracted data and assessed the risk of bias of each included study using the Cochrane 'Risk of bias' criteria. We graded our confidence in the evidence using the approach recommended by the GRADE working group. The clinical conditions targeted and the implementation tools used were too heterogenous to combine data for meta-analysis. We report the median absolute risk difference (ARD) and interquartile range (IQR) for the main outcome of adherence to guidelines. We included four cluster-RCTs that were conducted in the Netherlands, France, the USA and Canada. These studies evaluated the effects of tools developed by national guideline producers to implement their CPGs. The implementation tools evaluated targeted healthcare professionals; none targeted healthcare organisations or patients.One study used two short educational workshops tailored to barriers. In three studies the intervention consisted of the provision of paper-based educational materials, order forms or reminders, or both. The clinical condition, type of healthcare professional, and behaviour targeted by the CPG varied across studies.Two of the four included studies reported data on healthcare professionals' adherence to guidelines. A guideline tool developed by the producers of a guideline probably leads to increased adherence to the guidelines; median ARD (IQR) was 0.135 (0.115 and 0.159 for the two studies respectively) at an average four-week follow-up (moderate certainty evidence), which indicates a median 13.5% greater adherence to guidelines in the intervention group. Providing healthcare professionals with a tool to improve implementation of a guideline may lead to little or no difference in costs to the health service. Implementation tools developed by recognised guideline producers probably lead to improved healthcare professionals' adherence to guidelines in the management of non-specific low back pain and ordering thyroid-function tests. There are limited data on the relative costs of implementing these interventions.There are no studies evaluating the effectiveness of interventions targeting the organisation of care (e.g. benchmarking tools, costing templates, etc.), or for mass media interventions. We could not draw any conclusions about our second objective, the comparative effectiveness of implementation tools, due to the small number of studies, the heterogeneity between interventions, and the clinical conditions that were targeted.

Twitter Demographics

The data shown below were collected from the profiles of 39 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 252 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
Hungary 1 <1%
Brazil 1 <1%
Unknown 249 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 54 21%
Researcher 35 14%
Student > Ph. D. Student 28 11%
Student > Bachelor 23 9%
Student > Postgraduate 20 8%
Other 53 21%
Unknown 39 15%
Readers by discipline Count As %
Medicine and Dentistry 89 35%
Nursing and Health Professions 40 16%
Psychology 17 7%
Social Sciences 9 4%
Pharmacology, Toxicology and Pharmaceutical Science 9 4%
Other 33 13%
Unknown 55 22%

Attention Score in Context

This research output has an Altmetric Attention Score of 22. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 02 April 2018.
All research outputs
#665,227
of 12,745,229 outputs
Outputs from Cochrane database of systematic reviews
#2,274
of 10,420 outputs
Outputs of similar age
#22,079
of 262,201 outputs
Outputs of similar age from Cochrane database of systematic reviews
#44
of 164 outputs
Altmetric has tracked 12,745,229 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,420 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.3. This one has done well, scoring higher than 78% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 262,201 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 164 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.