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http://bura.brunel.ac.uk/handle/2438/25371| Title: | Chronic Pain through COVID |
| Authors: | Dunham, M Bacon, L Cottom, S McCrone, P Mehrpouya, H Spyridonis, F Thompson, T Schofield, P |
| Keywords: | chronic pain;older people;COVID-19;remote healthcare;ageing |
| Issue Date: | 19-Oct-2022 |
| Publisher: | Frontiers Media |
| Citation: | Dunham, M. et al. (2022) 'Chronic Pain through COVID', Frontiers in Pain Research, 3, 937652, pp. 1 - 10. doi: 10.3389/fpain.2022.937652. |
| Abstract: | Objectives: To identify good practice in the community management of chronic pain, and to understand the perspective of a group of healthcare service users towards the management of chronic pain using technology during the COVID-19 pandemic. Methods: Forty-five people, recruited via social media and Pain Association Scotland, participated in three focus groups hosted over Zoom. Focus groups were conducted using semi-structured questions to guide the conversation. Data were analysed using Ritchie / Spencer's Framework Analysis. Results: The participants shared observations of their experiences of remotely supported chronic pain services and insights into the potential for future chronic pain care provision. Experiences were in the majority positive with some describing their rapid engagement with technology during the COVID pandemic. Conclusion: Results suggest there is strong potential for telehealth to complement and support existing provision of pain management services. |
| Description: | Data availability statement: The datasets presented in this article are not readily available because the data is confidential and anonymous. Requests to access the datasets should be directed to m.dunham@napier.ac.uk. Ethics statement: The studies involving human participants were reviewed and approved by Abertay University’s Research Ethics Committee (EMS4573). The patients/participants provided their written informed consent to participate in this study. |
| URI: | https://bura.brunel.ac.uk/handle/2438/25371 |
| DOI: | https://doi.org/10.3389/fpain.2022.937652 |
| Other Identifiers: | ORCiD: M. Dunham https://orcid.org/0000-0002-7244-1476 937652 ORCiD: Fotios Spyridonis https://orcid.org/0000-0003-4253-365X |
| Appears in Collections: | Dept of Computer Science Research Papers |
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| File | Description | Size | Format | |
|---|---|---|---|---|
| FullText.pdf | Copyright © 2022 Dunham, Bacon, Cottom, McCrone, Mehrpouya, Spyridonis, Thompson and Schofield. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. | 247.9 kB | Adobe PDF | View/Open |
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