Reducing Uncertainty Distress in Long Term Health Conditions
NCT ID: NCT05698251
Last Updated: 2023-02-03
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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COMPLETED
NA
6 participants
INTERVENTIONAL
2022-03-16
2022-12-20
Brief Summary
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The main questions the study aims to answer are:
1. Does the new treatment model help participants reduce uncertainty distress associated with their health condition?
2. Is it a practical treatment that can be ran within a hospital setting?
3. Is the treatment acceptable to participants?
Participants will be asked to attend weekly therapy sessions (up to a maximum of 16 sessions) in the hospital or via telehealth. The sessions will be based on the new treatment model and aimed at helping participants reduce uncertainty where they can and learn to live alongside it where it cannot be reduced. The hope is that if participants can better manage uncertainty this will reduce the distress (anxiety or low mood) that they feel.
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Detailed Description
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Uncertainty management interventions have traditionally focused on reducing uncertainty through information management strategies. These have been shown to be effective in improving patient knowledge of their condition, improve patient-health professionals communication, mood and coping skills. Research into emotional disorders have identified uncertainty as a transdiagnostic source of distress and studies increasing tolerance of uncertainty have been shown to be effective.
To date there is no research combining informational interventions to reduce perceived uncertainty and interventions increasing tolerance of uncertainty in those with chronic health conditions. The aim of this study is pilot a transdiagnostic treatment model combining both elements. The intervention consists of 4 main interventional areas; information management, building safety, addressing overestimation of threat, and tolerating uncertainty. This treatment has the potential to reduce disease distress and burden and potentially reduce health care utilisation if patients are managing their health conditions and associated uncertainty better.
Using single case design this study will look to develop and evaluate the new treatment intervention. The aim is to establish whether his treatment is feasible and acceptable to be delivered within a health care setting.
Up to 6 participants will be recruited from the Rheumatology department within a hospital setting. Participants will be experiencing distress related to the uncertainty of their diagnosed health condition and willing to engage in a psychological treatment to reduce distress.
Treatment will consist of 16 weekly therapy sessions (dependent on clinical need) delivered face to face or via telehealth.
Conditions
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Study Design
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NA
SINGLE_GROUP
TREATMENT
NONE
Study Groups
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Reducing uncertainty distress: Psychological therapy intervention
Up to 16 sessions of psychological therapy delivered weekly either face to face or via telehealth . Based on empirically grounded models of anxiety/threat, illness uncertainty and intolerance of uncertainty.
Formulation driven and clinically responsive individualised treatment based on four intervention areas: information management, building safety, reducing overestimation of threat and tolerating uncertainty.
Uncertainty distress model
Psychological therapy intervention based on elements of traditional Cognitive Behaviour Therapy (CBT) for anxiety, illness uncertainty and intolerance of uncertainty.
Interventions
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Uncertainty distress model
Psychological therapy intervention based on elements of traditional Cognitive Behaviour Therapy (CBT) for anxiety, illness uncertainty and intolerance of uncertainty.
Eligibility Criteria
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Inclusion Criteria
* Minimum of 12 months since diagnosis
* Difficulties adjusting to long term health condition
* Willingness to engage with a psychological treatment to manage distress associated with health condition
* Fluent English Speaker
Exclusion Criteria
* Progressive health conditions
* Experiencing mental health difficulties that might interfere with ability to engage in time limited psychological therapy such as Major Depressive Episode and/or severe and enduring mental health problems, comorbid substance misuse, suicidality
* Diagnosis of Autism Spectrum Disorder (ASD)
* Non- English Speaker
18 Years
65 Years
ALL
No
Sponsors
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Newcastle-upon-Tyne Hospitals NHS Trust
OTHER
Northumberland, Tyne and Wear NHS Foundation Trust
OTHER
Newcastle University
OTHER
Responsible Party
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Sarah Kay
Principle Investigator
Principal Investigators
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Mark Freeston, ProfPsy
Role: STUDY_DIRECTOR
Newcastle University
Locations
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Royal Victoria Hospital (RVI)
Newcastle, , United Kingdom
Countries
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References
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Mishel MH. Reconceptualization of the uncertainty in illness theory. Image J Nurs Sch. 1990 Winter;22(4):256-62. doi: 10.1111/j.1547-5069.1990.tb00225.x.
Freeston M, Tiplady A, Mawn L, Bottesi G, Thwaites S. Towards a model of uncertainty distress in the context of Coronavirus (COVID-19). Cogn Behav Therap. 2020 Jul 7;13:e31. doi: 10.1017/S1754470X2000029X. eCollection 2020.
Kuang, K. (2018). Reconceptualizing uncertainty in illness: commonalities, variations, and the multidimensional nature of uncertainty. Annals of the International Communication Association, 42(3), 181-206.
Kuang, K., & Wilson, S. R. (2017). A meta-analysis of uncertainty and information management in illness contexts. Journal of Communication, 67(3), 378-401.
Zhang Y. Uncertainty in Illness: Theory Review, Application, and Extension. Oncol Nurs Forum. 2017 Nov 1;44(6):645-649. doi: 10.1188/17.ONF.645-649.
Provided Documents
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Document Type: Study Protocol and Statistical Analysis Plan
Other Identifiers
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21/ES/0063
Identifier Type: OTHER
Identifier Source: secondary_id
293383
Identifier Type: OTHER
Identifier Source: secondary_id
RES-21-015
Identifier Type: -
Identifier Source: org_study_id
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