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Accepted for/Published in: JMIR mHealth and uHealth

Date Submitted: May 8, 2019
Open Peer Review Period: May 13, 2019 - Jun 18, 2019
Date Accepted: Jun 27, 2019
(closed for review but you can still tweet)

The final, peer-reviewed published version of this preprint can be found here:

Specialized Smartphone Intervention Apps: Review of 2014 to 2018 NIH Funded Grants

Hansen WB, Scheier LM

Specialized Smartphone Intervention Apps: Review of 2014 to 2018 NIH Funded Grants

JMIR Mhealth Uhealth 2019;7(7):e14655

DOI: 10.2196/14655

PMID: 31359866

PMCID: 6690163

Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.

Specialized Smartphone Intervention Apps: Review of 2014 to 2018 NIH Funded Grants

  • William B. Hansen; 
  • Lawrence M. Scheier

Background:

The widespread adoption of smartphones provides researchers with expanded opportunities for developing, testing and implementing interventions. National Institutes of Health (NIH) funds competitive, investigator-initiated grant applications. Funded grants represent the state of the science and therefore are expected to anticipate the progression of research in the near future.

Objective:

The objective of this paper is to provide an analysis of the kinds of smartphone-based intervention apps funded in NIH research grants during the five-year period between 2014 and 2018.

Methods:

We queried NIH Reporter to identify candidate funded grants that addressed mHealth and the use of smartphones. From 1524 potential grants, we identified 397 that met the requisites of including an intervention app. Each grant’s abstract was analyzed to understand the focus of intervention. The year of funding, type of activity (eg, R01, R34, and so on) and funding were noted.

Results:

We identified 13 categories of strategies employed in funded smartphone intervention apps. Most grants included either one (35.0%) or two (39.0%) intervention approaches. These included artificial intelligence (57 apps), bionic adaptation (33 apps), cognitive and behavioral therapies (68 apps), contingency management (24 apps), education and information (85 apps), enhanced motivation (50 apps), facilitating, reminding and referring (60 apps), gaming and gamification (52 apps), mindfulness training (18 apps), monitoring and feedback (192 apps), norm setting (7 apps), skills training (85 apps) and social support and social networking (59 apps). The most frequently observed grant types included Small Business Innovation Research (SBIR) and Small Business Technology Transfer (STTR) grants (40.8%) and Research Project Grants (R01s) (26.2%). The number of grants funded increased through the five-year period from 60 in 2014 to 112 in 2018.

Conclusions:

Smartphone intervention apps are increasingly competitive for NIH funding. They reflect a wide diversity of approaches that have significant potential for use in applied settings.


 Citation

Please cite as:

Hansen WB, Scheier LM

Specialized Smartphone Intervention Apps: Review of 2014 to 2018 NIH Funded Grants

JMIR Mhealth Uhealth 2019;7(7):e14655

DOI: 10.2196/14655

PMID: 31359866

PMCID: 6690163

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