Developing and Implementing a Web-Based Psychotherapy Program to Address Mental Health Challenges Among Patients Receiving Oncologic and Palliative Care: Protocol for an Open-Label Randomized Controlled Trial.

anxiety cognitive behavioral therapy depression eHealth electronic care internet mental health treatment oncology palliative care psychotherapy

Journal

JMIR research protocols
ISSN: 1929-0748
Titre abrégé: JMIR Res Protoc
Pays: Canada
ID NLM: 101599504

Informations de publication

Date de publication:
14 Jul 2021
Historique:
received: 26 05 2021
accepted: 31 05 2021
entrez: 14 7 2021
pubmed: 15 7 2021
medline: 15 7 2021
Statut: epublish

Résumé

The demand for mental health care, particularly for depression and anxiety, is 3-fold greater among patients receiving oncologic and palliative care than for the general population. This population faces unique barriers, making them more susceptible to mental health challenges. Various forms of psychotherapy have been deemed effective in addressing mental health challenges in this population, including supportive psychotherapy, cognitive behavioral therapy, problem-based therapy, and mindfulness; however, their access to traditional face-to-face psychotherapy resources is limited owing to their immunocompromised status, making frequent hospital visits dangerous. Additionally, patients can face hospital fatigue from numerous appointments and investigations or may live in remote areas, which makes commutes both physically and financially challenging. Web-based psychotherapy is a promising solution to address these accessibility barriers. Moreover, web-based psychotherapy has been proven effective in addressing depression and anxiety in other populations and may be implementable among patients receiving oncologic and palliative care. The study will investigate the feasibility and effectiveness of web-based psychotherapy among patients receiving oncologic and palliative care, who have comorbid depression or anxiety. We hypothesized that this program will be a viable and efficacious treatment modality compared to current treatment modalities in addressing depression and anxiety symptoms in this population. Participants (n=60) with depression or anxiety will be recruited from oncology and palliative care settings in Kingston (Ontario, Canada). Participants will be randomly allocated to receive either 8 weeks of web-based psychotherapy plus treatment as usual (treatment arm) or treatment as usual exclusively (control arm). The web-based psychotherapy program will incorporate cognitive behavioral therapy, mindfulness, and problem-solving skills, and homework assignments with personalized feedback from a therapist. All web-based programs will be delivered through a secure platform specifically designed for web-based psychotherapy delivery. To evaluate treatment efficacy, all participants will complete standardized symptomology questionnaires at baseline, midpoint (week 4), and posttreatment. The study received ethics approval in February 2021 and began recruiting participants in April 2021. Participant recruitment has been conducted through social media advertisements, physical advertisements, and physician referrals. To date, 11 participants (treatment, n=5; control, n=4; dropout, n=2) have been recruited. Data collection and analysis are expected to conclude by December 2021 and January 2022, respectively. Linear regression (for continuous outcomes) will be conducted with interpretive qualitative methods. Our findings can be incorporated into clinical policy and help develop more accessible mental health treatment options for patients receiving oncologic and palliative care. Asynchronous and web-based psychotherapy delivery is a more accessible, scalable, and financially feasible treatment that could have major implications on the health care system. ClinicalTrials.gov NCT04664270; https://clinicaltrials.gov/ct2/show/NCT04664270. DERR1-10.2196/30735.

Sections du résumé

BACKGROUND BACKGROUND
The demand for mental health care, particularly for depression and anxiety, is 3-fold greater among patients receiving oncologic and palliative care than for the general population. This population faces unique barriers, making them more susceptible to mental health challenges. Various forms of psychotherapy have been deemed effective in addressing mental health challenges in this population, including supportive psychotherapy, cognitive behavioral therapy, problem-based therapy, and mindfulness; however, their access to traditional face-to-face psychotherapy resources is limited owing to their immunocompromised status, making frequent hospital visits dangerous. Additionally, patients can face hospital fatigue from numerous appointments and investigations or may live in remote areas, which makes commutes both physically and financially challenging. Web-based psychotherapy is a promising solution to address these accessibility barriers. Moreover, web-based psychotherapy has been proven effective in addressing depression and anxiety in other populations and may be implementable among patients receiving oncologic and palliative care.
OBJECTIVE OBJECTIVE
The study will investigate the feasibility and effectiveness of web-based psychotherapy among patients receiving oncologic and palliative care, who have comorbid depression or anxiety. We hypothesized that this program will be a viable and efficacious treatment modality compared to current treatment modalities in addressing depression and anxiety symptoms in this population.
METHODS METHODS
Participants (n=60) with depression or anxiety will be recruited from oncology and palliative care settings in Kingston (Ontario, Canada). Participants will be randomly allocated to receive either 8 weeks of web-based psychotherapy plus treatment as usual (treatment arm) or treatment as usual exclusively (control arm). The web-based psychotherapy program will incorporate cognitive behavioral therapy, mindfulness, and problem-solving skills, and homework assignments with personalized feedback from a therapist. All web-based programs will be delivered through a secure platform specifically designed for web-based psychotherapy delivery. To evaluate treatment efficacy, all participants will complete standardized symptomology questionnaires at baseline, midpoint (week 4), and posttreatment.
RESULTS RESULTS
The study received ethics approval in February 2021 and began recruiting participants in April 2021. Participant recruitment has been conducted through social media advertisements, physical advertisements, and physician referrals. To date, 11 participants (treatment, n=5; control, n=4; dropout, n=2) have been recruited. Data collection and analysis are expected to conclude by December 2021 and January 2022, respectively. Linear regression (for continuous outcomes) will be conducted with interpretive qualitative methods.
CONCLUSIONS CONCLUSIONS
Our findings can be incorporated into clinical policy and help develop more accessible mental health treatment options for patients receiving oncologic and palliative care. Asynchronous and web-based psychotherapy delivery is a more accessible, scalable, and financially feasible treatment that could have major implications on the health care system.
TRIAL REGISTRATION BACKGROUND
ClinicalTrials.gov NCT04664270; https://clinicaltrials.gov/ct2/show/NCT04664270.
INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID) UNASSIGNED
DERR1-10.2196/30735.

Identifiants

pubmed: 34259164
pii: v10i7e30735
doi: 10.2196/30735
pmc: PMC8319771
doi:

Banques de données

ClinicalTrials.gov
['NCT04664270']

Types de publication

Journal Article

Langues

eng

Pagination

e30735

Informations de copyright

©Nazanin Alavi, Callum Stephenson, Shadé Miller, Payam Khalafi, Israa Sinan, Danielle Kain, Maggie McDougall, Julia Davies, Debora Stark, Erin Tompkins, Jasleen Jagayat, Mohsen Omrani, Amirhossein Shirazi, Dianne Groll, Claudio Soares. Originally published in JMIR Research Protocols (https://www.researchprotocols.org), 14.07.2021.

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Auteurs

Nazanin Alavi (N)

Department of Psychiatry, Faculty of Health Sciences, Queen's University, Kingston, ON, Canada.
Centre for Neuroscience Studies, Faculty of Health Sciences, Queen's University, Kingston, ON, Canada.

Callum Stephenson (C)

Department of Psychiatry, Faculty of Health Sciences, Queen's University, Kingston, ON, Canada.
Centre for Neuroscience Studies, Faculty of Health Sciences, Queen's University, Kingston, ON, Canada.

Shadé Miller (S)

Department of Psychiatry, Faculty of Health Sciences, Queen's University, Kingston, ON, Canada.

Payam Khalafi (P)

Department of Psychiatry, Faculty of Health Sciences, Queen's University, Kingston, ON, Canada.

Israa Sinan (I)

Faculty of Arts and Science, Queen's University, Kingston, ON, Canada.

Danielle Kain (D)

Department of Medicine, Queen's University, Kingston, ON, Canada.

Maggie McDougall (M)

Supportive Care Program, Cancer Centre of Southeastern Ontario, Kingston Health Sciences Centre, Kingston, ON, Canada.

Julia Davies (J)

Supportive Care Program, Cancer Centre of Southeastern Ontario, Kingston Health Sciences Centre, Kingston, ON, Canada.

Debora Stark (D)

Supportive Care Program, Cancer Centre of Southeastern Ontario, Kingston Health Sciences Centre, Kingston, ON, Canada.

Erin Tompkins (E)

Supportive Care Program, Cancer Centre of Southeastern Ontario, Kingston Health Sciences Centre, Kingston, ON, Canada.

Jasleen Jagayat (J)

Department of Psychiatry, Faculty of Health Sciences, Queen's University, Kingston, ON, Canada.

Mohsen Omrani (M)

OPTT Inc, Toronto, ON, Canada.

Amirhossein Shirazi (A)

Department of Psychiatry, Faculty of Health Sciences, Queen's University, Kingston, ON, Canada.
Centre for Neuroscience Studies, Faculty of Health Sciences, Queen's University, Kingston, ON, Canada.
OPTT Inc, Toronto, ON, Canada.

Dianne Groll (D)

Department of Psychiatry, Faculty of Health Sciences, Queen's University, Kingston, ON, Canada.

Claudio Soares (C)

Department of Psychiatry, Faculty of Health Sciences, Queen's University, Kingston, ON, Canada.

Classifications MeSH