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Assessing mental health clinicians’ intentions to adopt evidence-based treatments: reliability and validity testing of the evidence-based treatment intentions scale

Overview of attention for article published in Implementation Science, May 2016
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (73rd percentile)

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Title
Assessing mental health clinicians’ intentions to adopt evidence-based treatments: reliability and validity testing of the evidence-based treatment intentions scale
Published in
Implementation Science, May 2016
DOI 10.1186/s13012-016-0417-3
Pubmed ID
Authors

Nathaniel J. Williams

Abstract

Intentions play a central role in numerous empirically supported theories of behavior and behavior change and have been identified as a potentially important antecedent to successful evidence-based treatment (EBT) implementation. Despite this, few measures of mental health clinicians' EBT intentions exist and available measures have not been subject to thorough psychometric evaluation or testing. This paper evaluates the psychometric properties of the evidence-based treatment intentions (EBTI) scale, a new measure of mental health clinicians' intentions to adopt EBTs. The study evaluates the reliability and validity of inferences made with the EBTI using multi-method, multi-informant criterion variables collected over 12 months from a sample of 197 mental health clinicians delivering services in 13 mental health agencies. Structural, predictive, and discriminant validity evidence is assessed. Findings support the EBTI's factor structure (χ (2)  = 3.96, df = 5, p = .556) and internal consistency reliability (α = .80). Predictive validity evidence was provided by robust and significant associations between EBTI scores and clinicians' observer-reported attendance at a voluntary EBT workshop at a 1-month follow-up (OR = 1.92, p < .05), self-reported EBT adoption at a 12-month follow-up (R (2) = .17, p < .001), and self-reported use of EBTs with clients at a 12-month follow-up (R (2) = .25, p < .001). Discriminant validity evidence was provided by small associations with clinicians' concurrently measured psychological work climate perceptions of functionality (R (2) = .06, p < .05), engagement (R (2) = .06, p < .05), and stress (R (2) = .00, ns). The EBTI is a practical and theoretically grounded measure of mental health clinicians' EBT intentions. Scores on the EBTI provide a basis for valid inferences regarding mental health clinicians' intentions to adopt EBTs. Discussion focuses on research and practice applications.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 71 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 1%
United States 1 1%
Unknown 69 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 10 14%
Student > Doctoral Student 10 14%
Student > Ph. D. Student 7 10%
Researcher 6 8%
Professor 4 6%
Other 16 23%
Unknown 18 25%
Readers by discipline Count As %
Psychology 25 35%
Medicine and Dentistry 7 10%
Nursing and Health Professions 4 6%
Social Sciences 4 6%
Unspecified 2 3%
Other 3 4%
Unknown 26 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 09 May 2016.
All research outputs
#5,963,443
of 24,411,829 outputs
Outputs from Implementation Science
#975
of 1,760 outputs
Outputs of similar age
#79,832
of 303,414 outputs
Outputs of similar age from Implementation Science
#29
of 39 outputs
Altmetric has tracked 24,411,829 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,760 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.7. This one is in the 44th percentile – i.e., 44% of its peers scored the same or lower than it.
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 303,414 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.
We're also able to compare this research output to 39 others from the same source and published within six weeks on either side of this one. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.