Evidence map›Paper›PMID 27184963›Full record

ArticleImplementation science : IS2016

Characterizing implementation strategies using a systems engineering survey and interview tool: a comparison across 10 prevention programs for drug abuse and HIV sexual risk behavior.

Sara J Czaja, Thomas W Valente, Sankaran N Nair, Juan A Villamar, C Hendricks Brown

Abstract readComparative Study
In one paragraph

Article in Implementation science : IS, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. High-Fidelity Agent-Based Modeling to Support Prevention Decision-Making: an Open Science Approach.Prevention science : the official journal of the Society for Prevention Research · 2022
    Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Sara J CzajaDepartment of Psychiatry and Behavioral Science, Miller School of Medicine, University of Miami, 1694 NW 9th Ave., Miami, FL, 33136, USA. sczaja@med.miami.edu.
Thomas W ValenteDepartment of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, USA.
Sankaran N NairCenter for Aging, Miller School of Medicine, University of Miami, Miami, USA.
Juan A VillamarDepartment of Psychiatry and Behavioral Sciences, Feinberg School of Medicine, Northwestern University, Evanston, USA.
C Hendricks BrownDepartment of Psychiatry and Behavioral Sciences, Feinberg School of Medicine, Northwestern University, Evanston, USA.

Funding

INNOVATIVE IMPLEMENTATION RESEARCH METHODS COREP30DA027828 · NIDA · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI BROWN, C. HENDRICKS, MUSTANSKI, BRIAN · 2011 to 2020
$11.4M
NIDA NIH HHS P30 DA027828NIDA NIH HHS P30DA027828
6 · The paper itself

Abstract

backgroundAlthough many behavioral interventions have proven to be efficacious, new methodologies are required beyond efficacy trials to understand how to adopt, implement with fidelity, and sustain behavioral interventions in community settings. In this paper, we present a new approach, based on systems engineering concepts and methods, for characterizing implementation strategies that are used to deliver evidence-based behavioral interventions in health and social service settings. We demonstrate the use of this approach with implementation strategies, used or being used for broader dissemination of 10 evidence-based prevention program projects focused on the prevention of drug or HIV sex risk behaviors.

resultsThe results indicate that there are wide variations in intervention approaches and that there are challenges in program implementation including maintaining program fidelity, serving community needs, and adequate resources. The results also indicate that implementation requires a committed partnership between the program developers, implementation researchers, and community partners. In addition, there is a need for adaptability within programs to meet community needs, resources, and priorities while maintaining program fidelity.

conclusionsOur methodological approach enabled us to highlight challenges associated with the community implementation of health risk prevention interventions. We also demonstrate how comprehensive descriptions of interventions facilitate understanding of the requirements of program implementation and decisions about the feasibility of implementing a program in community settings.

Indexed as

Systems AnalysisEngineeringHealth Plan ImplementationHIV InfectionsHumansInterviews as TopicPreventive MedicineProgram EvaluationRisk-TakingSexual BehaviorSubstance-Related DisordersBehavioral interventionsImplementation scienceSystems engineering

Identifiers

PMID27184963
PMCPMC4869203

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.