Optimising and beta-testing a user-centred, accessible, self-management rehabilitation smartphone app (reCOVer) for long-COVID fatigue using qualitative interview methods.
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| Title: | Optimising and beta-testing a user-centred, accessible, self-management rehabilitation smartphone app (reCOVer) for long-COVID fatigue using qualitative interview methods. |
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| Authors: | McCready, J. L. (AUTHOR), Campbell, M. (AUTHOR), McCay, K. (AUTHOR), Moore, J. (AUTHOR), Deary, V. (AUTHOR), Vines, J. (AUTHOR), Higgs-McCallum, C. (AUTHOR), Webster, D. (AUTHOR), Ellis, J. (AUTHOR), Newton, J. (AUTHOR), Nobbs, C. (AUTHOR), Rapley, T. (AUTHOR), Hackett, K. L. (AUTHOR) |
| Source: | Disability & Rehabilitation. Jun2026, Vol. 48 Issue 11, p3425-3443. 19p. |
| Subjects: | Mobile apps, Social media, Self-management (Psychology), Smartphones, Qualitative research, Worry, Research funding, Post-acute COVID-19 syndrome, Fatigue (Physiology), Interviewing, Questionnaires, Judgment sampling, Anxiety, Behavior, Surveys, Social networks, Research methodology, Communication, Dyspnea, Data analysis software, User-centered system design, Sleep disorders |
| Geographic Terms: | United Kingdom |
| Abstract: | Purpose: Fatigue is one of the most common and disabling symptoms of long-COVID, yet individuals often struggle to access appropriate services and must self-manage. This study aimed to adapt an existing smartphone app, originally developed for fatigue in autoimmune rheumatic disease, for individuals with long-COVID. Materials and Methods: A multidisciplinary steering group reviewed current clinical and scientific evidence to inform the adaptation of the app, reCOVer. The app includes an activity pacing diary, goal-setting tool, assertiveness and communication cards, and guidance on fatigue, sleep, relaxation, and setbacks. Beta-testing was conducted with 11 individuals with long-COVID (aged 21–57). Each participant took part in two serial qualitative interviews: the first explored their experience of fatigue and initial reactions to the app; the second, after 7–10 days of use, captured usability and acceptability feedback. Results: Participants found reCOVer helpful, particularly for increasing awareness of unhelpful patterns (e.g., boom–bust cycles) and supporting behaviour change through pacing. Communication tools were valuable when cognitive difficulties were prominent. Suggested improvements included text-to-speech functionality, clearer goal-setting instructions, and better articulation of app benefits. Conclusions: reCOVer shows promise as a self-management tool for long-COVID fatigue. Further research, such as a pilot RCT, is needed to evaluate feasibility and effectiveness. IMPLICATIONS FOR REHABILITATION: Fatigue is a debilitating symptom of long-COVID and can significantly affect daily functioning and quality of life. Smartphone-based self-management interventions, like the reCOVer app, may offer accessible and acceptable support for individuals managing long-COVID fatigue at home. Features such as activity diaries, pacing tools, and communication strategies can help users recognise and adapt unhelpful behaviours (e.g., boom-bust cycles), supporting behaviour change over time. Rehabilitation professionals may consider recommending or co-developing digital tools to extend support for individuals with long-COVID, particularly in contexts where professional support is limited. [ABSTRACT FROM AUTHOR] |
| Copyright of Disability & Rehabilitation is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Psychology and Behavioral Sciences Collection |
| FullText | Text: Availability: 0 |
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| Header | DbId: pbh DbLabel: Psychology and Behavioral Sciences Collection An: 194222006 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Optimising and beta-testing a user-centred, accessible, self-management rehabilitation smartphone app (reCOVer) for long-COVID fatigue using qualitative interview methods. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22McCready%2C+J%2E+L%2E%22">McCready, J. 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L.</searchLink> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Disability+%26+Rehabilitation%22">Disability & Rehabilitation</searchLink>. Jun2026, Vol. 48 Issue 11, p3425-3443. 19p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Mobile+apps%22">Mobile apps</searchLink><br /><searchLink fieldCode="DE" term="%22Social+media%22">Social media</searchLink><br /><searchLink fieldCode="DE" term="%22Self-management+%28Psychology%29%22">Self-management (Psychology)</searchLink><br /><searchLink fieldCode="DE" term="%22Smartphones%22">Smartphones</searchLink><br /><searchLink fieldCode="DE" term="%22Qualitative+research%22">Qualitative research</searchLink><br /><searchLink fieldCode="DE" term="%22Worry%22">Worry</searchLink><br /><searchLink fieldCode="DE" term="%22Research+funding%22">Research funding</searchLink><br /><searchLink fieldCode="DE" term="%22Post-acute+COVID-19+syndrome%22">Post-acute COVID-19 syndrome</searchLink><br /><searchLink fieldCode="DE" term="%22Fatigue+%28Physiology%29%22">Fatigue (Physiology)</searchLink><br /><searchLink fieldCode="DE" term="%22Interviewing%22">Interviewing</searchLink><br /><searchLink fieldCode="DE" term="%22Questionnaires%22">Questionnaires</searchLink><br /><searchLink fieldCode="DE" term="%22Judgment+sampling%22">Judgment sampling</searchLink><br /><searchLink fieldCode="DE" term="%22Anxiety%22">Anxiety</searchLink><br /><searchLink fieldCode="DE" term="%22Behavior%22">Behavior</searchLink><br /><searchLink fieldCode="DE" term="%22Surveys%22">Surveys</searchLink><br /><searchLink fieldCode="DE" term="%22Social+networks%22">Social networks</searchLink><br /><searchLink fieldCode="DE" term="%22Research+methodology%22">Research methodology</searchLink><br /><searchLink fieldCode="DE" term="%22Communication%22">Communication</searchLink><br /><searchLink fieldCode="DE" term="%22Dyspnea%22">Dyspnea</searchLink><br /><searchLink fieldCode="DE" term="%22Data+analysis+software%22">Data analysis software</searchLink><br /><searchLink fieldCode="DE" term="%22User-centered+system+design%22">User-centered system design</searchLink><br /><searchLink fieldCode="DE" term="%22Sleep+disorders%22">Sleep disorders</searchLink> – Name: SubjectGeographic Label: Geographic Terms Group: Su Data: <searchLink fieldCode="DE" term="%22United+Kingdom%22">United Kingdom</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Purpose: Fatigue is one of the most common and disabling symptoms of long-COVID, yet individuals often struggle to access appropriate services and must self-manage. This study aimed to adapt an existing smartphone app, originally developed for fatigue in autoimmune rheumatic disease, for individuals with long-COVID. Materials and Methods: A multidisciplinary steering group reviewed current clinical and scientific evidence to inform the adaptation of the app, reCOVer. The app includes an activity pacing diary, goal-setting tool, assertiveness and communication cards, and guidance on fatigue, sleep, relaxation, and setbacks. Beta-testing was conducted with 11 individuals with long-COVID (aged 21–57). Each participant took part in two serial qualitative interviews: the first explored their experience of fatigue and initial reactions to the app; the second, after 7–10 days of use, captured usability and acceptability feedback. Results: Participants found reCOVer helpful, particularly for increasing awareness of unhelpful patterns (e.g., boom–bust cycles) and supporting behaviour change through pacing. Communication tools were valuable when cognitive difficulties were prominent. Suggested improvements included text-to-speech functionality, clearer goal-setting instructions, and better articulation of app benefits. Conclusions: reCOVer shows promise as a self-management tool for long-COVID fatigue. Further research, such as a pilot RCT, is needed to evaluate feasibility and effectiveness. IMPLICATIONS FOR REHABILITATION: Fatigue is a debilitating symptom of long-COVID and can significantly affect daily functioning and quality of life. Smartphone-based self-management interventions, like the reCOVer app, may offer accessible and acceptable support for individuals managing long-COVID fatigue at home. Features such as activity diaries, pacing tools, and communication strategies can help users recognise and adapt unhelpful behaviours (e.g., boom-bust cycles), supporting behaviour change over time. Rehabilitation professionals may consider recommending or co-developing digital tools to extend support for individuals with long-COVID, particularly in contexts where professional support is limited. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Disability & Rehabilitation is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=pbh&AN=194222006 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1080/09638288.2025.2577872 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 19 StartPage: 3425 Subjects: – SubjectFull: Mobile apps Type: general – SubjectFull: Social media Type: general – SubjectFull: Self-management (Psychology) Type: general – SubjectFull: Smartphones Type: general – SubjectFull: Qualitative research Type: general – SubjectFull: Worry Type: general – SubjectFull: Research funding Type: general – SubjectFull: Post-acute COVID-19 syndrome Type: general – SubjectFull: Fatigue (Physiology) Type: general – SubjectFull: Interviewing Type: general – SubjectFull: Questionnaires Type: general – SubjectFull: Judgment sampling Type: general – SubjectFull: Anxiety Type: general – SubjectFull: Behavior Type: general – SubjectFull: Surveys Type: general – SubjectFull: Social networks Type: general – SubjectFull: Research methodology Type: general – SubjectFull: Communication Type: general – SubjectFull: Dyspnea Type: general – SubjectFull: Data analysis software Type: general – SubjectFull: User-centered system design Type: general – SubjectFull: Sleep disorders Type: general – SubjectFull: United Kingdom Type: general Titles: – TitleFull: Optimising and beta-testing a user-centred, accessible, self-management rehabilitation smartphone app (reCOVer) for long-COVID fatigue using qualitative interview methods. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: McCready, J. L. – PersonEntity: Name: NameFull: Campbell, M. – PersonEntity: Name: NameFull: McCay, K. – PersonEntity: Name: NameFull: Moore, J. – PersonEntity: Name: NameFull: Deary, V. – PersonEntity: Name: NameFull: Vines, J. – PersonEntity: Name: NameFull: Higgs-McCallum, C. – PersonEntity: Name: NameFull: Webster, D. – PersonEntity: Name: NameFull: Ellis, J. – PersonEntity: Name: NameFull: Newton, J. – PersonEntity: Name: NameFull: Nobbs, C. – PersonEntity: Name: NameFull: Rapley, T. – PersonEntity: Name: NameFull: Hackett, K. L. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 06 Text: Jun2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 09638288 Numbering: – Type: volume Value: 48 – Type: issue Value: 11 Titles: – TitleFull: Disability & Rehabilitation Type: main |
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