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Best Practices and Recommendations for Research Using Virtual Real-Time Data Collection: Protocol for Virtual Data Collection Studies.
Sanchez, Jasmin; Trofholz, Amanda; Berge, Jerica M.
Affiliation
  • Sanchez J; Department of Family Medicine and Community Health, University of Minnesota, Minneapolis, MN, United States.
  • Trofholz A; Department of Family Medicine and Community Health, University of Minnesota, Minneapolis, MN, United States.
  • Berge JM; Department of Family Medicine and Adult and Child Center for Outcomes Research and Delivery Science, University of Colorado Anschutz Medical Campus, Aurora, CO, United States.
JMIR Res Protoc ; 13: e53790, 2024 May 14.
Article in En | MEDLINE | ID: mdl-38743477
ABSTRACT

BACKGROUND:

The COVID-19 pandemic and the subsequent need for social distancing required the immediate pivoting of research modalities. Research that had previously been conducted in person had to pivot to remote data collection. Researchers had to develop data collection protocols that could be conducted remotely with limited or no evidence to guide the process. Therefore, the use of web-based platforms to conduct real-time research visits surged despite the lack of evidence backing these novel approaches.

OBJECTIVE:

This paper aims to review the remote or virtual research protocols that have been used in the past 10 years, gather existing best practices, and propose recommendations for continuing to use virtual real-time methods when appropriate.

METHODS:

Articles (n=22) published from 2013 to June 2023 were reviewed and analyzed to understand how researchers conducted virtual research that implemented real-time protocols. "Real-time" was defined as data collection with a participant through a live medium where a participant and research staff could talk to each other back and forth in the moment. We excluded studies for the following reasons (1) studies that collected participant or patient measures for the sole purpose of engaging in a clinical encounter; (2) studies that solely conducted qualitative interview data collection; (3) studies that conducted virtual data collection such as surveys or self-report measures that had no interaction with research staff; (4) studies that described research interventions but did not involve the collection of data through a web-based platform; (5) studies that were reviews or not original research; (6) studies that described research protocols and did not include actual data collection; and (7) studies that did not collect data in real time, focused on telehealth or telemedicine, and were exclusively intended for medical and not research purposes.

RESULTS:

Findings from studies conducted both before and during the COVID-19 pandemic suggest that many types of data can be collected virtually in real time. Results and best practice recommendations from the current protocol review will be used in the design and implementation of a substudy to provide more evidence for virtual real-time data collection over the next year.

CONCLUSIONS:

Our findings suggest that virtual real-time visits are doable across a range of participant populations and can answer a range of research questions. Recommended best practices for virtual real-time data collection include (1) providing adequate equipment for real-time data collection, (2) creating protocols and materials for research staff to facilitate or guide participants through data collection, (3) piloting data collection, (4) iteratively accepting feedback, and (5) providing instructions in multiple forms. The implementation of these best practices and recommendations for future research are further discussed in the paper. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID) DERR1-10.2196/53790.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Data Collection / Pandemics / COVID-19 Limits: Humans Language: En Journal: JMIR Res Protoc Year: 2024 Document type: Article Affiliation country: Estados Unidos Country of publication: Canadá

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Data Collection / Pandemics / COVID-19 Limits: Humans Language: En Journal: JMIR Res Protoc Year: 2024 Document type: Article Affiliation country: Estados Unidos Country of publication: Canadá