“I'm not what I used to be”: A qualitative study exploring how young people experience being diagnosed with a chronic illness Article Swipe
Background Childhood long‐term conditions are usually diagnosed in infancy or early childhood. Little is known about the particular experiences and needs of young people who receive a chronic illness diagnosis during adolescence or late childhood. This paper will examine this experience in relation to multiple sclerosis (MS), which is increasingly being diagnosed before adulthood. Aims To explore how young people experience an MS diagnosis. Methods Qualitative study using a grounded theory approach. In‐depth interviews were conducted with 21 young people diagnosed with MS. Participants were recruited through health service and voluntary sector organizations in the United Kingdom. Results Young people's pre‐illness normality was disrupted by the diagnosis of a chronic illness (MS). Participants experienced their body as changed physically, cognitively, and emotionally and as changeable due to symptom unpredictability. This influenced how participants perceived and presented their identity, disrupted their relationships, and altered their future biography. Young people developed strategies to manage their condition and identities in order to incorporate MS into their current and future lives, which required continual illness and identity work in response to changing symptoms, social contexts, and relationships. Conclusions Although young peoples' experience of living with chronic illness has been widely explored, the aftermath of diagnosis has been underresearched from their perspective. This study contributes to this knowledge gap by illuminating how young people experience a chronic illness diagnosis and negotiate the resulting changes to their identity, relationships, and future. The findings suggest that young people need preparation and support in disclosing their diagnosis to others. Professionals supporting young people with long‐term conditions need to work closely with specialist mental health services to ensure that they receive appropriate emotional support. Schools have an important role in ensuring young people with long‐term conditions achieve their academic potential and receive appropriate careers advice.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1111/cch.12638
- OA Status
- green
- Cited By
- 59
- References
- 59
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2906018789
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W2906018789Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1111/cch.12638Digital Object Identifier
- Title
-
“I'm not what I used to be”: A qualitative study exploring how young people experience being diagnosed with a chronic illnessWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2019Year of publication
- Publication date
-
2019-01-17Full publication date if available
- Authors
-
Susan Kirk, Denise HintonList of authors in order
- Landing page
-
https://doi.org/10.1111/cch.12638Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://www.research.manchester.ac.uk/portal/en/publications/im-not-what-i-used-to-be-a-qualitative-study-exploring-how-young-people-experience-being-diagnosed-with-a-chronic-illness(f550242c-1999-4bc0-98c8-2c325db341c6).htmlDirect OA link when available
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Normality, Young adult, Psychology, Qualitative research, Grounded theory, Identity (music), Perspective (graphical), Developmental psychology, Medicine, Psychiatry, Computer science, Sociology, Acoustics, Social science, Physics, Artificial intelligenceTop concepts (fields/topics) attached by OpenAlex
- Cited by
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59Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 8, 2024: 10, 2023: 10, 2022: 7, 2021: 15Per-year citation counts (last 5 years)
- References (count)
-
59Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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