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Implementing the teen marijuana check-up in schools—a study protocol

Overview of attention for article published in Implementation Science, August 2017
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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 (79th percentile)

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Title
Implementing the teen marijuana check-up in schools—a study protocol
Published in
Implementation Science, August 2017
DOI 10.1186/s13012-017-0633-5
Pubmed ID
Authors

Bryan Hartzler, Aaron R. Lyon, Denise D. Walker, Lauren Matthews, Kevin M. King, Kathryn E. McCollister

Abstract

Substance misuse is now encountered in settings beyond addiction specialty care, with schools a point-of-contact for student access to behavioral health services. Marijuana is a leading impetus for adolescent treatment admissions despite declining risk perception, for which the Teen Marijuana Check-Up (TMCU)-a tailored adaptation of motivational enhancement therapy-offers an efficacious service option. To bridge the knowledge gap concerning effective and affordable technical assistance strategies for implementing empirically supported services, the described trial will test such a strategy to facilitate school-based TMCU implementation. A type II effectiveness/implementation hybrid trial will test a novel strategy for a TMCU purveyor to provide technical assistance on an 'as-needed' basis when triggered by a fidelity drift alarm bell, compared to resource-intensive 'gold-standard' technical assistance procedures of prior efficacy trials. Trial procedures adhere to the EPIS framework as follows: (1) initial mixed-method exploration of the involved school contexts and identification of TMCU interventionist candidates in elicitation interviews; (2) interventionist preparation via a formally evaluated training process involving a two-day workshop and sequence of three training cases; (3) post-training implementation for 24 months for which trained interventionists are randomized to 'as-needed' or 'gold-standard' technical assistance and self-referring students randomized (in 2:1 ratio) to TMCU or waitlist/control; and (4) examination of TMCU sustainment via interventionist completion of biannual outcome assessments, cost analyses, and exit interviews. Hypothesized effects include non-differential influence of the competing technical assistance methods on both TMCU fidelity and intervention effectiveness, with lesser school costs for the 'as-needed' than 'gold-standard' technical assistance and greater reduction in the frequency of marijuana use expected among TMCU-exposed students relative to those assigned to waitlist/control. This trial-occurring in Washington state as legislative, fiscal, and sociocultural forces converge to heighten exposure of American adolescents to marijuana-related harms-is set to advance understanding of best implementation practices for this and other efficacious, school-based interventions through examination of a data-driven technical assistance method. If shown to be clinically useful and affordable, the concept of a fidelity drift alarm could be readily translated to other empirically supported services and in other health settings. ClinicalTrials.gov NCT03111667 registered 7 April 2017.

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X Demographics

The data shown below were collected from the profiles of 16 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 106 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 106 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 13 12%
Researcher 11 10%
Student > Bachelor 11 10%
Student > Ph. D. Student 10 9%
Student > Doctoral Student 6 6%
Other 20 19%
Unknown 35 33%
Readers by discipline Count As %
Nursing and Health Professions 15 14%
Psychology 15 14%
Medicine and Dentistry 12 11%
Social Sciences 6 6%
Economics, Econometrics and Finance 3 3%
Other 9 8%
Unknown 46 43%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 24 August 2017.
All research outputs
#4,006,234
of 24,929,945 outputs
Outputs from Implementation Science
#758
of 1,789 outputs
Outputs of similar age
#65,776
of 323,061 outputs
Outputs of similar age from Implementation Science
#30
of 37 outputs
Altmetric has tracked 24,929,945 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,789 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.9. This one has gotten more attention than average, scoring higher than 57% 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 323,061 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 79% of its contemporaries.
We're also able to compare this research output to 37 others from the same source and published within six weeks on either side of this one. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.