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Addressing engagement in technology-based behavioural HIV interventions through paradata metrics

Addressing engagement in technology-based behavioural HIV interventions through paradata metrics Purpose of reviewThe goal of this review was to examine how often researchers report participants’ online engagement using paradata (i.e. intervention usage metrics) when describing the outcomes of online behavioural HIV prevention and care interventions. We also highlight the utility of paradata collection and analysis in future technology-based trials.Recent findingsWe focused on studies indexed on PubMed and published between 1 January 2016 and 31 March 2017 that reported the development and testing of online behavioural interventions for HIV prevention and/or care. Of the 705 extracted citations, six met study criteria.SummaryOnly one study reported paradata reflecting participants’ engagement with a technology-based intervention. Researchers should systematically collect and analyse paradata to strengthen the evidence base for technology-based interventions (do they work?), advance the use of behaviour change theory across modalities and platforms (how/why do they work?) and inform reach and scale-up efforts (for whom do they work?). Researchers may also rely on paradata to examine dose–response relationships due to user engagement, to identify replicable core components linked to behaviour change outcomes, to allocate resources judiciously and drive down development costs, and to pool these metrics for use in future meta-analyses. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Current Opinion in HIV and Aids Wolters Kluwer Health

Addressing engagement in technology-based behavioural HIV interventions through paradata metrics

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Publisher
Wolters Kluwer Health
Copyright
Copyright © 2017 Wolters Kluwer Health, Inc. All rights reserved.
ISSN
1746-630X
eISSN
1746-6318
DOI
10.1097/COH.0000000000000396
pmid
28617711
Publisher site
See Article on Publisher Site

Abstract

Purpose of reviewThe goal of this review was to examine how often researchers report participants’ online engagement using paradata (i.e. intervention usage metrics) when describing the outcomes of online behavioural HIV prevention and care interventions. We also highlight the utility of paradata collection and analysis in future technology-based trials.Recent findingsWe focused on studies indexed on PubMed and published between 1 January 2016 and 31 March 2017 that reported the development and testing of online behavioural interventions for HIV prevention and/or care. Of the 705 extracted citations, six met study criteria.SummaryOnly one study reported paradata reflecting participants’ engagement with a technology-based intervention. Researchers should systematically collect and analyse paradata to strengthen the evidence base for technology-based interventions (do they work?), advance the use of behaviour change theory across modalities and platforms (how/why do they work?) and inform reach and scale-up efforts (for whom do they work?). Researchers may also rely on paradata to examine dose–response relationships due to user engagement, to identify replicable core components linked to behaviour change outcomes, to allocate resources judiciously and drive down development costs, and to pool these metrics for use in future meta-analyses.

Journal

Current Opinion in HIV and AidsWolters Kluwer Health

Published: Sep 1, 2017

References