Design Considerations for Implementing eHealth Behavioral Interventions for HIV Prevention in Evolving Sociotechnical Landscapes.

Dennis H Li, C Hendricks Brown, Carlos Gallo, Ethan Morgan, Patrick S Sullivan, Sean D Young, Brian Mustanski
Author Information
  1. Dennis H Li: Institute for Sexual and Gender Minority Health and Wellbeing, Northwestern University, Chicago, IL, USA. dennis@northwestern.edu.
  2. C Hendricks Brown: Center for Prevention Implementation Methodology for Drug Abuse and HIV, Northwestern University, Chicago, IL, USA.
  3. Carlos Gallo: Center for Prevention Implementation Methodology for Drug Abuse and HIV, Northwestern University, Chicago, IL, USA.
  4. Ethan Morgan: Institute for Sexual and Gender Minority Health and Wellbeing, Northwestern University, Chicago, IL, USA.
  5. Patrick S Sullivan: Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, USA.
  6. Sean D Young: Institute for Prediction Technology, Department of Informatics, Bren School of Information and Computer Science, University of California, Irvine, Irvine, CA, USA.
  7. Brian Mustanski: Institute for Sexual and Gender Minority Health and Wellbeing, Northwestern University, Chicago, IL, USA.

Abstract

PURPOSE OF REVIEW: Despite tremendous potential for public health impact and continued investments in development and evaluation, it is rare for eHealth behavioral interventions to be implemented broadly in practice. Intervention developers may not be planning for implementation when designing technology-enabled interventions, thus creating greater challenges for real-world deployment following a research trial. To facilitate faster translation to practice, we aimed to provide researchers and developers with an implementation-focused approach and set of design considerations as they develop new eHealth programs.
RECENT FINDINGS: Using the Accelerated Creation-to-Sustainment model as a lens, we examined challenges and successes experienced during the development and evaluation of four diverse eHealth HIV prevention programs for young men who have sex with men: Keep It Up!, Harnessing Online Peer Education, Guy2Guy, and HealthMindr. HIV is useful for studying eHealth implementation because of the substantial proliferation of diverse eHealth interventions with strong evidence of reach and efficacy and the responsiveness to rapid and radical disruptions in the field. Rather than locked-down products to be disseminated, eHealth interventions are complex sociotechnical systems that require continual optimization, vigilance to monitor and troubleshoot technological issues, and decision rules to refresh content and functionality while maintaining fidelity to core intervention principles. Platform choice and sociotechnical relationships (among end users, implementers, and the technology) heavily influence implementation needs and challenges. We present a checklist of critical implementation questions to address during intervention development. In the absence of a clear path forward for eHealth implementation, deliberate design of an eHealth intervention's service and technological components in tandem with their implementation plans is critical to mitigating barriers to widespread use. The design considerations presented can be used by developers, evaluators, reviewers, and funders to prioritize the pragmatic scalability of eHealth interventions in research.

Keywords

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Grants

  1. P30 AI050409/NIAID NIH HHS
  2. R01 MH118213/NIMH NIH HHS
  3. R01 DA035145/NIDA NIH HHS
  4. K01 MH090884/NIMH NIH HHS
  5. R01 MH106415/NIMH NIH HHS
  6. R34 MH079714/NIMH NIH HHS
  7. F32 DA046313/NIDA NIH HHS
  8. P30 DA027828/NIDA NIH HHS
  9. R01 DA045612/NIDA NIH HHS
  10. R01 MH096660/NIMH NIH HHS
  11. P30 AI028697/NIAID NIH HHS
  12. P30 AI117943/NIAID NIH HHS
  13. R01 AI132030/NIAID NIH HHS

MeSH Term

Behavior Therapy
Communication
HIV Infections
Homosexuality, Male
Humans
Male
Sexual and Gender Minorities
Telemedicine

Word Cloud

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