Adapting psychophysiological data collection for COVID-19: The “Virtual Assessment” model

Author(s)Tabachnick, Alexandra R.
Author(s)Sellers, Tabitha
Author(s)Margolis, Emma
Author(s)Labella, Madelyn
Author(s)Neff, Dylan
Author(s)Crowell, Sheila
Author(s)Raby, K. Lee
Author(s)Saenz, Celine
Author(s)Conradt, Elisabeth
Author(s)Dozier, Mary
Date Accessioned2022-03-09T18:24:42Z
Date Available2022-03-09T18:24:42Z
Publication Date2021-12-21
DescriptionThis is the peer reviewed version of the following article: Tabachnick, A. R., Sellers, T., Margolis, E., Labella, M., Neff, D., Crowell, S., Raby, K. L., Saenz, C., Conradt, E., & Dozier, M. (2022). Adapting psychophysiological data collection for COVID-19: The “Virtual Assessment” model. Infant Mental Health Journal, 43, 185– 197. https://doi.org/10.1002/imhj.21954, which has been published in final form at https://doi.org/10.1002/imhj.21954. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions. This article may not be enhanced, enriched or otherwise transformed into a derivative work, without express permission from Wiley or by statutory rights under applicable legislation. Copyright notices must not be removed, obscured or modified. The article must be linked to Wiley’s version of record on Wiley Online Library and any embedding, framing or otherwise making available the article or pages thereof by third parties from platforms, services and websites other than Wiley Online Library must be prohibited.en_US
AbstractThe COVID-19 pandemic has significantly disrupted research activities globally. Researchers need safe and creative procedures to resume data collection, particularly for projects evaluating infant mental health interventions. Remote research is uniquely challenging for psychophysiological data collection, which typically requires close contact between researchers and participants as well as technical equipment frequently located in laboratory settings. In accordance with public health guidance, we adapted procedures and developed novel protocols for a “virtual assessment” in which women and infants provided behavioral and psychophysiological data from their own homes while researchers coordinated remotely. Data collected at virtual visits included video-recorded parent–child interactions and autonomic nervous system data. Adaptations were designed to optimize safety and data quality while minimizing participant burden. In the current paper, we describe these adaptations and present data evaluating their success across two sites in the United States (University of Delaware and University of Utah), focusing specifically on autonomic nervous system data collected during the well-validated Still-Face Paradigm (SFP). We also discuss advantages and challenges of translating traditional lab procedures into the virtual assessment model. Ultimately, we hope that disseminating these procedures will help other researchers resume safe data collection related to infant mental health during the COVID-19 pandemic and beyond.en_US
SponsorThis work was supported by funding from the National Institutes of Health (F31DA050426 to AT, R01HD098525 to MD, R01MH119070 to SC and EC), Purdue Pharma, L. P., the University of Utah Consortium for Families and Health Research, the Interdisciplinary Research Pilot Program, and an anonymous donor.en_US
CitationTabachnick, A. R., Sellers, T., Margolis, E., Labella, M., Neff, D., Crowell, S., Raby, K. L., Saenz, C., Conradt, E., & Dozier, M. (2022). Adapting psychophysiological data collection for COVID-19: The “Virtual Assessment” model. Infant Mental Health Journal, 43, 185– 197. https://doi.org/10.1002/imhj.21954en_US
ISSN1097-0355
URLhttps://udspace.udel.edu/handle/19716/30638
Languageen_USen_US
PublisherInfant Mental Health Journalen_US
Keywordsautonomic nervous systemen_US
Keywordsmethodologyen_US
Keywordspsychophysiologyen_US
TitleAdapting psychophysiological data collection for COVID-19: The “Virtual Assessment” modelen_US
TypeArticleen_US
Files
Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Adapting psychophysiological data collection for COVID-19The “Virtual Assessment” model.pdf
Size:
2.31 MB
Format:
Adobe Portable Document Format
Description:
Main article
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
2.22 KB
Format:
Item-specific license agreed upon to submission
Description: