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Variation in Research Designs Used to Test the Effectiveness of Dissemination and Implementation Strategies: A Review

Overview of attention for article published in Frontiers in Public Health, February 2018
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

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57 X users
wikipedia
1 Wikipedia page
googleplus
1 Google+ user

Citations

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54 Dimensions

Readers on

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150 Mendeley
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Title
Variation in Research Designs Used to Test the Effectiveness of Dissemination and Implementation Strategies: A Review
Published in
Frontiers in Public Health, February 2018
DOI 10.3389/fpubh.2018.00032
Pubmed ID
Authors

Stephanie Mazzucca, Rachel G. Tabak, Meagan Pilar, Alex T. Ramsey, Ana A. Baumann, Emily Kryzer, Ericka M. Lewis, Margaret Padek, Byron J. Powell, Ross C. Brownson

Abstract

The need for optimal study designs in dissemination and implementation (D&I) research is increasingly recognized. Despite the wide range of study designs available for D&I research, we lack understanding of the types of designs and methodologies that are routinely used in the field. This review assesses the designs and methodologies in recently proposed D&I studies and provides resources to guide design decisions. We reviewed 404 study protocols published in the journal Implementation Science from 2/2006 to 9/2017. Eligible studies tested the efficacy or effectiveness of D&I strategies (i.e., not effectiveness of the underlying clinical or public health intervention); had a comparison by group and/or time; and used ≥1 quantitative measure. Several design elements were extracted: design category (e.g., randomized); design type [e.g., cluster randomized controlled trial (RCT)]; data type (e.g., quantitative); D&I theoretical framework; levels of treatment assignment, intervention, and measurement; and country in which the research was conducted. Each protocol was double-coded, and discrepancies were resolved through discussion. Of the 404 protocols reviewed, 212 (52%) studies tested one or more implementation strategy across 208 manuscripts, therefore meeting inclusion criteria. Of the included studies, 77% utilized randomized designs, primarily cluster RCTs. The use of alternative designs (e.g., stepped wedge) increased over time. Fewer studies were quasi-experimental (17%) or observational (6%). Many study design categories (e.g., controlled pre-post, matched pair cluster design) were represented by only one or two studies. Most articles proposed quantitative and qualitative methods (61%), with the remaining 39% proposing only quantitative. Half of protocols (52%) reported using a theoretical framework to guide the study. The four most frequently reported frameworks were Consolidated Framework for Implementing Research and RE-AIM (n = 16 each), followed by Promoting Action on Research Implementation in Health Services and Theoretical Domains Framework (n = 12 each). While several novel designs for D&I research have been proposed (e.g., stepped wedge, adaptive designs), the majority of the studies in our sample employed RCT designs. Alternative study designs are increasing in use but may be underutilized for a variety of reasons, including preference of funders or lack of awareness of these designs. Promisingly, the prevalent use of quantitative and qualitative methods together reflects methodological innovation in newer D&I research.

X Demographics

X Demographics

The data shown below were collected from the profiles of 57 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 150 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 150 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 25 17%
Student > Ph. D. Student 22 15%
Researcher 19 13%
Professor > Associate Professor 9 6%
Professor 8 5%
Other 31 21%
Unknown 36 24%
Readers by discipline Count As %
Medicine and Dentistry 37 25%
Nursing and Health Professions 20 13%
Social Sciences 19 13%
Psychology 12 8%
Computer Science 3 2%
Other 17 11%
Unknown 42 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 40. 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 18 February 2021.
All research outputs
#1,040,595
of 25,732,188 outputs
Outputs from Frontiers in Public Health
#548
of 14,397 outputs
Outputs of similar age
#23,007
of 345,226 outputs
Outputs of similar age from Frontiers in Public Health
#14
of 110 outputs
Altmetric has tracked 25,732,188 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 14,397 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.1. This one has done particularly well, scoring higher than 96% 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 345,226 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 93% of its contemporaries.
We're also able to compare this research output to 110 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.