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Lessons Learned: Beta-Testing the Digital Health Checklist for Researchers Prompts a Call to Action by Behavioral Scientists.
Bartlett Ellis, Rebecca; Wright, Julie; Miller, Lisa Soederberg; Jake-Schoffman, Danielle; Hekler, Eric B; Goldstein, Carly M; Arigo, Danielle; Nebeker, Camille.
  • Bartlett Ellis R; School of Nursing, Indiana University, Indianapolis, IN, United States.
  • Wright J; Exercise and Health Sciences, University of Massachusetts, Boston, Boston, MA, United States.
  • Miller LS; Department of Human Ecology, University of California, Davis, Davis, CA, United States.
  • Jake-Schoffman D; Department of Health Education and Behavior, University of Florida, Gainesville, FL, United States.
  • Hekler EB; Herbert Wertheim School of Public Health and Longevity Science, University of California San Diego, La Jolla, CA, United States.
  • Goldstein CM; The Design Lab, UC San Diego, La Jolla, CA, United States.
  • Arigo D; Department of Psychiatry and Human Behavior, Warren Alpert Medical School of Brown University, Providence, RI, United States.
  • Nebeker C; Department of Psychology, Rowan University, Glassboro, NJ, United States.
J Med Internet Res ; 23(12): e25414, 2021 12 22.
Article in English | MEDLINE | ID: covidwho-1591572
ABSTRACT
Digital technologies offer unique opportunities for health research. For example, Twitter posts can support public health surveillance to identify outbreaks (eg, influenza and COVID-19), and a wearable fitness tracker can provide real-time data collection to assess the effectiveness of a behavior change intervention. With these opportunities, it is necessary to consider the potential risks and benefits to research participants when using digital tools or strategies. Researchers need to be involved in the risk assessment process, as many tools in the marketplace (eg, wellness apps, fitness sensors) are underregulated. However, there is little guidance to assist researchers and institutional review boards in their evaluation of digital tools for research purposes. To address this gap, the Digital Health Checklist for Researchers (DHC-R) was developed as a decision support tool. A participatory research approach involving a group of behavioral scientists was used to inform DHC-R development. Scientists beta-tested the checklist by retrospectively evaluating the technologies they had chosen for use in their research. This paper describes the lessons learned because of their involvement in the beta-testing process and concludes with recommendations for how the DHC-R could be useful for a variety of digital health stakeholders. Recommendations focus on future research and policy development to support research ethics, including the development of best practices to advance safe and responsible digital health research.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Checklist / COVID-19 Type of study: Experimental Studies / Observational study / Prognostic study Limits: Humans Language: English Journal: J Med Internet Res Journal subject: Medical Informatics Year: 2021 Document Type: Article Affiliation country: 25414

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Checklist / COVID-19 Type of study: Experimental Studies / Observational study / Prognostic study Limits: Humans Language: English Journal: J Med Internet Res Journal subject: Medical Informatics Year: 2021 Document Type: Article Affiliation country: 25414