What do people living with chronic pain want from a pain forecast? A research prioritisation study
What do people living with chronic pain want from a pain forecast? A research prioritisation study
Background: people with chronic pain report feelings of uncertainty and unpredictability around their future pain. A pain-forecasting model could provide important information to support individuals to manage their daily pain and improve their quality of life. To be useful, the model should be developed with people living with chronic pain. We conducted Patient and Public Involvement (PPI) work, with the aim of this PPI to design the content of a pain-forecasting model by (1) learning participants’ priorities in the features of pain provided by a pain forecast and (2) understanding the benefits that participants perceive they would gain from such a forecast.
Methods: a focus group of 12 participants identified potential features, benefits and drawbacks of a pain forecast. In a survey, participants with chronic pain (n = 148) prioritised the identified pain features and perceived benefits.
Results: focus group participants identified anticipatory anxiety and fears around data-sharing as potential drawbacks. Survey respondents prioritised forecasting of pain flares (68%) and fluctuations in pain severity (64%). Specific priorities about pain flares were the timing of the onset and the severity. Of those surveyed, 75% would use a future pain forecast and 80% perceived making plans (e.g. shopping, social) as a benefit.
Conclusions: for people with chronic pain, the timing of the onset of pain flares, the severity of pain flares and fluctuations in pain severity were prioritised as being key features of a pain forecast, and making plans was prioritised as being a key benefit.
Little, Claire L.
aa70fcee-e115-45f6-8d52-0dabbdd36409
Druce, Katie L.
02f51c2c-e166-4a3a-a059-34f4629652f1
Dixon, William G.
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Schultz, David M.
a85d5745-d1be-42fd-a4a8-45122ee5a243
House, Thomas
6cc22063-fe11-470a-9736-77343a53f9c8
McBeth, John
98012716-66ba-480b-9e43-ac53b51dce61
24 April 2023
Little, Claire L.
aa70fcee-e115-45f6-8d52-0dabbdd36409
Druce, Katie L.
02f51c2c-e166-4a3a-a059-34f4629652f1
Dixon, William G.
8fcb2256-4094-4f58-9777-4248ad245166
Schultz, David M.
a85d5745-d1be-42fd-a4a8-45122ee5a243
House, Thomas
6cc22063-fe11-470a-9736-77343a53f9c8
McBeth, John
98012716-66ba-480b-9e43-ac53b51dce61
[Unknown type: UNSPECIFIED]
Abstract
Background: people with chronic pain report feelings of uncertainty and unpredictability around their future pain. A pain-forecasting model could provide important information to support individuals to manage their daily pain and improve their quality of life. To be useful, the model should be developed with people living with chronic pain. We conducted Patient and Public Involvement (PPI) work, with the aim of this PPI to design the content of a pain-forecasting model by (1) learning participants’ priorities in the features of pain provided by a pain forecast and (2) understanding the benefits that participants perceive they would gain from such a forecast.
Methods: a focus group of 12 participants identified potential features, benefits and drawbacks of a pain forecast. In a survey, participants with chronic pain (n = 148) prioritised the identified pain features and perceived benefits.
Results: focus group participants identified anticipatory anxiety and fears around data-sharing as potential drawbacks. Survey respondents prioritised forecasting of pain flares (68%) and fluctuations in pain severity (64%). Specific priorities about pain flares were the timing of the onset and the severity. Of those surveyed, 75% would use a future pain forecast and 80% perceived making plans (e.g. shopping, social) as a benefit.
Conclusions: for people with chronic pain, the timing of the onset of pain flares, the severity of pain flares and fluctuations in pain severity were prioritised as being key features of a pain forecast, and making plans was prioritised as being a key benefit.
Text
2023.04.24.23289032v1.full
- Author's Original
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Published date: 24 April 2023
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Local EPrints ID: 491487
URI: http://eprints.soton.ac.uk/id/eprint/491487
PURE UUID: 8c954f98-3d43-441e-8d64-1b9af7441ba4
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Date deposited: 25 Jun 2024 16:39
Last modified: 26 Jun 2024 02:11
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Contributors
Author:
Claire L. Little
Author:
Katie L. Druce
Author:
William G. Dixon
Author:
David M. Schultz
Author:
Thomas House
Author:
John McBeth
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