Adoption of digital pain manikins for research data collection: a systematic review
Adoption of digital pain manikins for research data collection: a systematic review
Chronic pain is common and disabling. Researchers need robust methods to collect pain data in large populations to enhance knowledge on pain prevalence, causes and treatment. Digital pain manikins address this by enabling self-reporting of location-specific pain. However, it is unknown to what extent pain studies adopted digital manikins for data collection. Therefore, we systematically searched the literature. We included 17 studies. Most were published after 2017, collected pain data cross-sectionally in ≥50 participants, and reported pain distribution and pain extent as manikin-derived summary metrics. Across the studies, 13 unique manikins were used, of which four had been evaluated. Our review shows that adoption of digital pain manikins in research settings has been slow. Harnessing the digital nature of manikins, enabling use of personal devices, and assessing and improving the reliability, validity and responsiveness of digital manikins will expedite their adoption as digital data collection tools for pain research.
784-751
Ali, Syed Mustafa
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Lee, Rebecca R.
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Chiarotto, Alessandro
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Dixon, William G.
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McBeth, John
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van der Veer, Sabine N.
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June 2022
Ali, Syed Mustafa
684b2fd7-0f78-40c7-9085-ff633aaa68e9
Lee, Rebecca R.
a150fc44-f562-4cd3-9213-7a8ee5e0335c
Chiarotto, Alessandro
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Dixon, William G.
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McBeth, John
98012716-66ba-480b-9e43-ac53b51dce61
van der Veer, Sabine N.
a26e1a0a-3c82-4466-9832-ba7bb4ae6c2c
Ali, Syed Mustafa, Lee, Rebecca R., Chiarotto, Alessandro, Dixon, William G., McBeth, John and van der Veer, Sabine N.
(2022)
Adoption of digital pain manikins for research data collection: a systematic review.
Otero, Paula, Scott, Phillip, Martin, Susan Z. and Huesing, Elaine
(eds.)
In MEDINFO 2021: One World, One Health – Global Partnership for Digital Innovation: Proceedings of the 18th World Congress on Medical and Health Informatics.
IOS Press.
.
(doi:10.3233/shti220178).
Record type:
Conference or Workshop Item
(Paper)
Abstract
Chronic pain is common and disabling. Researchers need robust methods to collect pain data in large populations to enhance knowledge on pain prevalence, causes and treatment. Digital pain manikins address this by enabling self-reporting of location-specific pain. However, it is unknown to what extent pain studies adopted digital manikins for data collection. Therefore, we systematically searched the literature. We included 17 studies. Most were published after 2017, collected pain data cross-sectionally in ≥50 participants, and reported pain distribution and pain extent as manikin-derived summary metrics. Across the studies, 13 unique manikins were used, of which four had been evaluated. Our review shows that adoption of digital pain manikins in research settings has been slow. Harnessing the digital nature of manikins, enabling use of personal devices, and assessing and improving the reliability, validity and responsiveness of digital manikins will expedite their adoption as digital data collection tools for pain research.
Text
SHTI-290-SHTI220178
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Published date: June 2022
Identifiers
Local EPrints ID: 491498
URI: http://eprints.soton.ac.uk/id/eprint/491498
ISSN: 0926-9630
PURE UUID: 3284e429-9ee1-43b3-afa0-fe590799b420
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Date deposited: 25 Jun 2024 16:44
Last modified: 26 Jun 2024 02:11
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Contributors
Author:
Syed Mustafa Ali
Author:
Rebecca R. Lee
Author:
Alessandro Chiarotto
Author:
William G. Dixon
Author:
John McBeth
Author:
Sabine N. van der Veer
Editor:
Paula Otero
Editor:
Phillip Scott
Editor:
Susan Z. Martin
Editor:
Elaine Huesing
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