Efficacious Web-Based Psychotherapy to Address Depression and Anxiety Among Patients Receiving Oncological and Palliative Care: an Open-Label Randomised Controlled Trial Article Swipe
Nazanin Alavi
,
Mohsen Omrani
,
Abolfazl Shirazi
,
Gina Layzell
,
Jennifer Eadie
,
Jasleen Jagayat
,
C. Stephenson
,
Dominic Kain
,
Cláudio N. Soares
,
Megan Yang
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1192/j.eurpsy.2023.1032
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1192/j.eurpsy.2023.1032
Introduction Oncological and palliative care patients face unique stressors which increase their risk of developing depression and anxiety. Cognitive behavioural therapy (CBT) and mindfulness has established success in improving this population’s mental health. Traditional face-to-face psychotherapy is costly, has long wait lists, often lacks accessibility, and has strict scheduling, each of which can make attending psychotherapy physically, mentally, and financially out of reach for oncological and palliative patients. Web-based CBT (e-CBT) is a promising alternative that has shown efficacy in this and other patient populations. Objectives To quantify the efficacy of online CBT and mindfulness therapy in oncological and palliative patients experiencing depression and anxiety symptoms. Methods Participants with depression or anxiety related to their diagnosis were recruited from care settings in Kingston, Ontario, and randomly assigned to 8 weekly e-CBT/mindfulness modules (N= 25) or treatment as usual (TAU; N=24). Modules consisted of CBT concepts, problem-solving, mindfulness, homework, and personalised feedback from their therapist through a secure platform (Online Psychotherapy Tool- OPTT) Participants completed PHQ-9 and GAD-7 in weeks 1, 4, and 8. (NCT04664270: REB# 6031471). Results Significant decreases in PHQ-9 and GAD-7 scores within individuals support the hypothesis of efficacy. At this time, 10 e-CBT/mindfulness and 12 TAU have completed the study. Decreases in PHQ-9 and GAD-7 scores within e-CBT group support the hypothesis of efficacy. Specifically, PHQ-9 scores decreased over the 3 repeated measures (ANOVA, 2 groups, 3 repeated measures and the decrease in GAD-7 scores was similarly large) Conclusions As hypothesized, the results suggest that e-CBT/mindfulness therapy is an affordable, accessible, and efficacious mental health treatment for this population. The virtual, asynchronous delivery format is particularly appropriate given the unique barriers. Disclosure of Interest N. Alavi Shareolder of: OPTT inc, Grant / Research support from: department psychiatry Queen’s University, M. Omrani Shareolder of: OPTT inc, A. Shirazi: None Declared, G. Layzell: None Declared, J. Eadie: None Declared, J. Jagayat: None Declared, C. Stephenson: None Declared, D. Kain: None Declared, C. Soares: None Declared, M. Yang: None Declared
Related Topics
Concepts
Mindfulness
Anxiety
Population
Medicine
Randomized controlled trial
Depression (economics)
Clinical psychology
Patient Health Questionnaire
Palliative care
Mental health
Generalized anxiety disorder
Repeated measures design
Psychology
Psychiatry
Psychotherapist
Depressive symptoms
Nursing
Internal medicine
Economics
Environmental health
Statistics
Macroeconomics
Mathematics
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1192/j.eurpsy.2023.1032
- https://www.cambridge.org/core/services/aop-cambridge-core/content/view/8E6855EE36807F9235E37455738530A2/S0924933823010325a.pdf/div-class-title-efficacious-web-based-psychotherapy-to-address-depression-and-anxiety-among-patients-receiving-oncological-and-palliative-care-an-open-label-randomised-controlled-trial-div.pdf
- OA Status
- gold
- Cited By
- 2
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4385669051
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4385669051Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1192/j.eurpsy.2023.1032Digital Object Identifier
- Title
-
Efficacious Web-Based Psychotherapy to Address Depression and Anxiety Among Patients Receiving Oncological and Palliative Care: an Open-Label Randomised Controlled TrialWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-03-01Full publication date if available
- Authors
-
Nazanin Alavi, Mohsen Omrani, Abolfazl Shirazi, Gina Layzell, Jennifer Eadie, Jasleen Jagayat, C. Stephenson, Dominic Kain, Cláudio N. Soares, Megan YangList of authors in order
- Landing page
-
https://doi.org/10.1192/j.eurpsy.2023.1032Publisher landing page
- PDF URL
-
https://www.cambridge.org/core/services/aop-cambridge-core/content/view/8E6855EE36807F9235E37455738530A2/S0924933823010325a.pdf/div-class-title-efficacious-web-based-psychotherapy-to-address-depression-and-anxiety-among-patients-receiving-oncological-and-palliative-care-an-open-label-randomised-controlled-trial-div.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
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https://www.cambridge.org/core/services/aop-cambridge-core/content/view/8E6855EE36807F9235E37455738530A2/S0924933823010325a.pdf/div-class-title-efficacious-web-based-psychotherapy-to-address-depression-and-anxiety-among-patients-receiving-oncological-and-palliative-care-an-open-label-randomised-controlled-trial-div.pdfDirect OA link when available
- Concepts
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Mindfulness, Anxiety, Population, Medicine, Randomized controlled trial, Depression (economics), Clinical psychology, Patient Health Questionnaire, Palliative care, Mental health, Generalized anxiety disorder, Repeated measures design, Psychology, Psychiatry, Psychotherapist, Depressive symptoms, Nursing, Internal medicine, Economics, Environmental health, Statistics, Macroeconomics, MathematicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
2Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 1, 2023: 1Per-year citation counts (last 5 years)
- Related works (count)
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10Other works algorithmically related by OpenAlex
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