Treating Illness Distress in Chronic Illness: Integrating Mental Health Approaches With Illness Self-Management
Open accessAbstract
Abstract. Cognitive-behavioral therapy (CBT) is an evidence-based treatment for depression and anxiety recommended for those with and without physical long-term conditions (LTCs). However, the cognitive-behavioral mechanisms targeted in CBT protocols are based on empirical cognitive-behavioral models of depression and anxiety. In these models, emotions are conceptualized as primary mental health disorders rather than a reaction to the challenges of living with a LTC commonly referred to as illness distress. This raises important clinical questions with theoretical implications. These include: Is the experience of illness distress conceptually distinct from primary mental health diagnoses of anxiety and mood disorder? Are there unique cognitive-behavioral mechanisms related to illness self-management, which should be incorporated into CBT for illness distress? How can illness self-management interventions be embedded within existing CBT protocols for depression and anxiety? To address these questions, we distinguish between primary mental health disorders and illness distress conceptually and explore the impact of this on tailored treatment planning and engagement. Second, we review how health psychology theoretical models can help to inform modifications of existing cognitive-behavioral treatments for anxiety and depression to better support the needs of individuals experiencing illness distress. Third, we provide examples of how to embed processes important for illness self-management including, illness cognitions and adherence, alongside existing CBT techniques. The mechanisms and intervention techniques discussed may help to inform the development of integrated CBT treatments for illness distress for future hypothesis testing in comparative effectiveness trials.
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“It is understood that the distress experienced in a primary mental health disorder such as anxiety or depression differs significantly from the distress experienced as part of a long-term health condition (Carroll et al ., 2022; Hudson and Moss-Morris, 2019).”
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“While diabetes-related distress is frequently discussed in health and psychology research [8, 26], the psychological, emotional, and motivational aspects of self-care remain relatively underexplored from a design perspective in HCI.”
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- Authors
- Hudson, J. L., & Moss-Morris, R.
- Affiliations
- King's College London (GB)
- Venue
- European Psychologist
- Publisher
- Hogrefe Publishing Group
- Published
- 2019-01
- Volume
- 24
- Issue
- 1
- Pages
- 26-37
- ISSN
- 1016-9040 (ISSN-L)
- 1878-531X
- OpenAlex
- W2914141747
- Cited by
- 27
- References
- 67
- Citations by year
- 2026: 2 · 2025: 5 · 2024: 3 · 2023: 1 · 2022: 6 · 2021: 3 · 2020: 4 · 2019: 3
- FWCI
- 4.72
- Type
- journal article
- Language
- en
- Open access
- green
- kclpure.kcl.ac.uk
- Licence
- other-oa
- Locations
- European Psychologist (publishedVersion)
- Research Portal (King's College London) (submittedVersion, other-oa)
- Topics
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
- Social Sciences › Psychology › Clinical Psychology › Psychological Treatments and Assessments
- Health Sciences › Medicine › Oncology › Cancer survivorship and care
- Keywords
- chronic disease, cognitive behavioral therapy, depression, anxiety, illness self-management, illness cognitions, medication adherence, treatment engagement
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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