» Articles » PMID: 24073035

Adapting Research-tested Computerized Tailored Interventions for Broader Dissemination and Implementation

Overview
Date 2013 Sep 28
PMID 24073035
Citations 10
Authors
Affiliations
Soon will be listed here.
Abstract

This paper focuses on the process for adapting existing legacy computerized tailored intervention (CTI) programs and implications for future development of CTI to ensure that interventions can be disseminated and implemented in different settings. A significant amount of work is required to adapt existing CTI for new research applications and public health interventions. Most new CTI are still developed from scratch, with minimal re-use of software or message content, even when there are considerable overlaps in functionality. This is largely a function of the substantial technical, organizational, and content-based barriers to adapting and disseminating CTI. CTI developers should thus consider dissemination and re-use early in the design phase of their systems. This is not intended to be a step-by-step guide on how to adopt or disseminate research-tested CTI, but rather a discussion that highlights issues to be considered for adapting and disseminating evidence-based CTI.

Citing Articles

Development, implementation, and evaluation of a novel guideline engine for pediatric patients with severe traumatic brain injury: a study protocol.

Pilar M, Proctor E, Pineda J Implement Sci Commun. 2020; 1:31.

PMID: 32885190 PMC: 7427929. DOI: 10.1186/s43058-020-00012-w.


Development of FamilyTalk: an Intervention to Support Communication and Educate Families About Colorectal Cancer Risk.

Bowen D, Hyams T, Laurino M, Woolley T, Cohen S, Leppig K J Cancer Educ. 2019; 35(3):470-478.

PMID: 30737640 PMC: 6688969. DOI: 10.1007/s13187-019-1484-3.


Comprehensive overview of computer-based health information tailoring: a scoping review protocol.

Kamel Ghalibaf A, Nazari E, Gholian-Aval M, Tabesh H, Tara M BMJ Open. 2017; 7(12):e019215.

PMID: 29284722 PMC: 5770833. DOI: 10.1136/bmjopen-2017-019215.


Development of the Physical activity and Your Nutrition for Cancer (PYNC) smartphone app for preventing breast cancer in women.

Coughlin S, Besenyi G, Bowen D, De Leo G Mhealth. 2017; 3:5.

PMID: 28293621 PMC: 5344121. DOI: 10.21037/mhealth.2017.02.02.


Automated indexing of Internet stories for health behavior change: weight loss attitude pilot study.

Manuvinakurike R, Velicer W, Bickmore T J Med Internet Res. 2014; 16(12):e285.

PMID: 25491243 PMC: 4275489. DOI: 10.2196/jmir.3702.


References
1.
Bickmore T, Gruber A, Picard R . Establishing the computer-patient working alliance in automated health behavior change interventions. Patient Educ Couns. 2005; 59(1):21-30. DOI: 10.1016/j.pec.2004.09.008. View

2.
Beveridge M, Fox J . Automatic generation of spoken dialogue from medical plans and ontologies. J Biomed Inform. 2006; 39(5):482-99. DOI: 10.1016/j.jbi.2005.12.008. View

3.
Lenert L, Norman G, Mailhot M, Patrick K . A framework for modeling health behavior protocols and their linkage to behavioral theory. J Biomed Inform. 2005; 38(4):270-80. DOI: 10.1016/j.jbi.2004.12.001. View

4.
Greenwald P, Cullen J . The scientific approach to cancer control. CA Cancer J Clin. 1984; 34(6):328-32. DOI: 10.3322/canjclin.34.6.328. View

5.
Brug J, Oenema A, Campbell M . Past, present, and future of computer-tailored nutrition education. Am J Clin Nutr. 2003; 77(4 Suppl):1028S-1034S. DOI: 10.1093/ajcn/77.4.1028S. View