Paradata analysis of an ehealth HIV testing intervention for young men who have sex with men

Stephen Bonett; Daniel Connochie; Jesse M. Golinkoff; Keith J. Horvath; José A. Bauermeister

doi:10.1521/aeap.2018.30.5.434

Paradata analysis of an ehealth HIV testing intervention for young men who have sex with men

Stephen Bonett, Daniel Connochie, Jesse M. Golinkoff, Keith J. Horvath, José A. Bauermeister

Epidemiology & Community Health

Research output: Contribution to journal › Article › peer-review

12 Scopus citations

Abstract

Little is known about users’ intervention engagement and use patterns within eHealth interventions. We describe these patterns among young men who have sex with men (YMSM) who participated in a brief eHealth intervention designed to increase HIV testing. We merged pilot trial participants’ survey data (N = 86) with their paradata (e.g., system data recorded during interaction with the intervention). We created engagement (time spent on components) and use (interaction with features) metrics, and explored whether they differed by participant characteristics. Racial/ethnic minorities clicked on fewer features (mean = 8.30) than non-Hispanic White men (mean = 12.00). Use was associated with older age (r =.19), greater educational attainment (r =.25), and a greater number of methods to connect online (r =.38). Paradata can help researchers understand how users interact with eHealth interventions, and inform which components to retain or redesign. Efforts to systematically collect, analyze, and report paradata in eHealth HIV prevention and care interventions are warranted.

Original language	English (US)
Pages (from-to)	434-447
Number of pages	14
Journal	AIDS Education and Prevention
Volume	30
Issue number	5
DOIs	https://doi.org/10.1521/aeap.2018.30.5.434
State	Published - Oct 2018

Bibliographical note

Funding Information:
Stephen Bonett, BA, BSN, Daniel Connochie, MPH, Jesse M. Golinkoff, MPH, and José A. Bauermeister, MPH PhD, are affiliated with the University of Pennsylvania School of Nursing, Philadelphia, Pennsylvania. Keith J. Horvath, PhD, is affiliated with the University of Minnesota School of Public Health, Minneapolis, Minnesota. This work was supported by the NIH Adolescent Medicine Trials Network for HIV/AIDS Interventions (ATN 139; MPI: Bauermeister & Stephenson) as part of and the UNC/Emory Center for Innovative Technology (iTech; PIs: Drs. Hightow-Weidman/Sullivan, 1U19HD089881). The content is solely the responsibility of the authors and does not represent the official views of the funding agencies. Address correspondence to José A. Bauermeister, MPH, PhD, University of Pennsylvania, 418 Curie Blvd., Suite 222L, Philadelphia, PA 19109. E-mail: [email protected]

Funding Information:
This work was supported by the NIH Adolescent Medicine Trials Network for HIV/AIDS Interventions (ATN 139; MPI: Bauermeister & Stephenson) as part of and the UNC/Emory Center for Innovative Technology (iTech; PIs: Drs. Hightow-Weidman/Sullivan, 1U19HD089881). The content is solely the responsibility of the authors and does not represent the official views of the funding agencies.

Publisher Copyright:
© 2018 The Guilford Press.

Keywords

Engagement
HIV/AIDS
Prevention
Technology

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1521/aeap.2018.30.5.434

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6449689

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title = "Paradata analysis of an ehealth HIV testing intervention for young men who have sex with men",

abstract = "Little is known about users{\textquoteright} intervention engagement and use patterns within eHealth interventions. We describe these patterns among young men who have sex with men (YMSM) who participated in a brief eHealth intervention designed to increase HIV testing. We merged pilot trial participants{\textquoteright} survey data (N = 86) with their paradata (e.g., system data recorded during interaction with the intervention). We created engagement (time spent on components) and use (interaction with features) metrics, and explored whether they differed by participant characteristics. Racial/ethnic minorities clicked on fewer features (mean = 8.30) than non-Hispanic White men (mean = 12.00). Use was associated with older age (r =.19), greater educational attainment (r =.25), and a greater number of methods to connect online (r =.38). Paradata can help researchers understand how users interact with eHealth interventions, and inform which components to retain or redesign. Efforts to systematically collect, analyze, and report paradata in eHealth HIV prevention and care interventions are warranted.",

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note = "Funding Information: Stephen Bonett, BA, BSN, Daniel Connochie, MPH, Jesse M. Golinkoff, MPH, and Jos{\'e} A. Bauermeister, MPH PhD, are affiliated with the University of Pennsylvania School of Nursing, Philadelphia, Pennsylvania. Keith J. Horvath, PhD, is affiliated with the University of Minnesota School of Public Health, Minneapolis, Minnesota. This work was supported by the NIH Adolescent Medicine Trials Network for HIV/AIDS Interventions (ATN 139; MPI: Bauermeister & Stephenson) as part of and the UNC/Emory Center for Innovative Technology (iTech; PIs: Drs. Hightow-Weidman/Sullivan, 1U19HD089881). The content is solely the responsibility of the authors and does not represent the official views of the funding agencies. Address correspondence to Jos{\'e} A. Bauermeister, MPH, PhD, University of Pennsylvania, 418 Curie Blvd., Suite 222L, Philadelphia, PA 19109. E-mail: [email protected] Funding Information: This work was supported by the NIH Adolescent Medicine Trials Network for HIV/AIDS Interventions (ATN 139; MPI: Bauermeister & Stephenson) as part of and the UNC/Emory Center for Innovative Technology (iTech; PIs: Drs. Hightow-Weidman/Sullivan, 1U19HD089881). The content is solely the responsibility of the authors and does not represent the official views of the funding agencies. Publisher Copyright: {\textcopyright} 2018 The Guilford Press.",

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N2 - Little is known about users’ intervention engagement and use patterns within eHealth interventions. We describe these patterns among young men who have sex with men (YMSM) who participated in a brief eHealth intervention designed to increase HIV testing. We merged pilot trial participants’ survey data (N = 86) with their paradata (e.g., system data recorded during interaction with the intervention). We created engagement (time spent on components) and use (interaction with features) metrics, and explored whether they differed by participant characteristics. Racial/ethnic minorities clicked on fewer features (mean = 8.30) than non-Hispanic White men (mean = 12.00). Use was associated with older age (r =.19), greater educational attainment (r =.25), and a greater number of methods to connect online (r =.38). Paradata can help researchers understand how users interact with eHealth interventions, and inform which components to retain or redesign. Efforts to systematically collect, analyze, and report paradata in eHealth HIV prevention and care interventions are warranted.

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Paradata analysis of an ehealth HIV testing intervention for young men who have sex with men

Abstract

Bibliographical note

Keywords

UN SDGs

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