| Title |
Research design issues for evaluating complex multicomponent interventions in neighborhoods and communities
|
|---|---|
| Published in |
Translational Behavioral Medicine, November 2015
|
| DOI | 10.1007/s13142-015-0358-4 |
| Pubmed ID | |
| Authors |
Kelli A. Komro, Brian R. Flay, Anthony Biglan, Alexander C. Wagenaar |
| Abstract |
Major advances in population health will not occur unless we translate existing knowledge into effective multicomponent interventions, implement and maintain these in communities, and develop rigorous translational research and evaluation methods to ensure continual improvement and sustainability. We discuss challenges and offer approaches to evaluation that are key for translational research stages 3 to 5 to advance optimized adoption, implementation, and maintenance of effective and replicable multicomponent strategies. The major challenges we discuss concern (a) multiple contexts of evaluation/research, (b) complexity of packages of interventions, and (c) phases of evaluation/research questions. We suggest multiple alternative research designs that maintain rigor but accommodate these challenges and highlight the need for measurement systems. Longitudinal data collection and a standardized continuous measurement system are fundamental to the evaluation and refinement of complex multicomponent interventions. To be useful to T3-T5 translational research efforts in neighborhoods and communities, such a system would include assessments of the reach, implementation, effects on immediate outcomes, and effects of the comprehensive intervention package on more distal health outcomes. |
X Demographics
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 17% |
| United States | 1 | 17% |
| Unknown | 4 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 3 | 50% |
| Members of the public | 2 | 33% |
| Practitioners (doctors, other healthcare professionals) | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 1% |
| Unknown | 69 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 23 | 33% |
| Student > Ph. D. Student | 9 | 13% |
| Student > Doctoral Student | 7 | 10% |
| Student > Master | 5 | 7% |
| Student > Bachelor | 3 | 4% |
| Other | 8 | 11% |
| Unknown | 15 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 17 | 24% |
| Medicine and Dentistry | 10 | 14% |
| Nursing and Health Professions | 5 | 7% |
| Psychology | 5 | 7% |
| Environmental Science | 3 | 4% |
| Other | 12 | 17% |
| Unknown | 18 | 26% |
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 04 May 2016.
All research outputs
#7,411,390
of 22,832,057 outputs
Outputs from Translational Behavioral Medicine
#498
of 990 outputs
Outputs of similar age
#95,954
of 285,670 outputs
Outputs of similar age from Translational Behavioral Medicine
#10
of 25 outputs
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We're also able to compare this research output to 25 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 60% of its contemporaries.