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An audience research study to disseminate evidence about comprehensive state mental health parity legislation to US State policymakers: protocol

Overview of attention for article published in Implementation Science, June 2017
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  • Above-average Attention Score compared to outputs of the same age (64th percentile)

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6 X users

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17 Dimensions

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Title
An audience research study to disseminate evidence about comprehensive state mental health parity legislation to US State policymakers: protocol
Published in
Implementation Science, June 2017
DOI 10.1186/s13012-017-0613-9
Pubmed ID
Authors

Jonathan Purtle, Félice Lê-Scherban, Paul Shattuck, Enola K. Proctor, Ross C. Brownson

Abstract

A large proportion of the US population has limited access to mental health treatments because insurance providers limit the utilization of mental health services in ways that are more restrictive than for physical health services. Comprehensive state mental health parity legislation (C-SMHPL) is an evidence-based policy intervention that enhances mental health insurance coverage and improves access to care. Implementation of C-SMHPL, however, is limited. State policymakers have the exclusive authority to implement C-SMHPL, but sparse guidance exists to inform the design of strategies to disseminate evidence about C-SMHPL, and more broadly, evidence-based treatments and mental illness, to this audience. The aims of this exploratory audience research study are to (1) characterize US State policymakers' knowledge and attitudes about C-SMHPL and identify individual- and state-level attributes associated with support for C-SMHPL; and (2) integrate quantitative and qualitative data to develop a conceptual framework to disseminate evidence about C-SMHPL, evidence-based treatments, and mental illness to US State policymakers. The study uses a multi-level (policymaker, state), mixed method (QUAN→qual) approach and is guided by Kingdon's Multiple Streams Framework, adapted to incorporate constructs from Aarons' Model of Evidence-Based Implementation in Public Sectors. A multi-modal survey (telephone, post-mail, e-mail) of 600 US State policymakers (500 legislative, 100 administrative) will be conducted and responses will be linked to state-level variables. The survey will span domains such as support for C-SMHPL, knowledge and attitudes about C-SMHPL and evidence-based treatments, mental illness stigma, and research dissemination preferences. State-level variables will measure factors associated with C-SMHPL implementation, such as economic climate and political environment. Multi-level regression will determine the relative strength of individual- and state-level variables on policymaker support for C-SMHPL. Informed by survey results, semi-structured interviews will be conducted with approximately 50 US State policymakers to elaborate upon quantitative findings. Then, using a systematic process, quantitative and qualitative data will be integrated and a US State policymaker-focused C-SMHPL dissemination framework will be developed. Study results will provide the foundation for hypothesis-driven, experimental studies testing the effects of different dissemination strategies on state policymakers' support for, and implementation of, evidence-based mental health policy interventions.

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The data shown below were collected from the profiles of 6 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 82 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 82 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 15 18%
Student > Doctoral Student 12 15%
Researcher 8 10%
Student > Master 8 10%
Student > Ph. D. Student 7 9%
Other 16 20%
Unknown 16 20%
Readers by discipline Count As %
Medicine and Dentistry 16 20%
Psychology 11 13%
Social Sciences 10 12%
Nursing and Health Professions 9 11%
Environmental Science 3 4%
Other 11 13%
Unknown 22 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 14 October 2020.
All research outputs
#6,918,066
of 22,982,639 outputs
Outputs from Implementation Science
#1,160
of 1,722 outputs
Outputs of similar age
#109,812
of 315,536 outputs
Outputs of similar age from Implementation Science
#42
of 43 outputs
Altmetric has tracked 22,982,639 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 1,722 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.8. This one is in the 32nd percentile – i.e., 32% 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 315,536 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 64% of its contemporaries.
We're also able to compare this research output to 43 others from the same source and published within six weeks on either side of this one. This one is in the 2nd percentile – i.e., 2% of its contemporaries scored the same or lower than it.