Evidence map›Paper›PMID 37140460›Full record

ArticleJMIR research protocols2023

Evaluating the Efficacy of Web-Based Cognitive Behavioral Therapy for the Treatment of Patients With Bipolar II Disorder and Residual Depressive Symptoms: Protocol for a Randomized Controlled Trial.

Gilmar Gutierrez, Callum Stephenson, Jazmin Eadie, Elnaz Moghimi, Mohsen Omrani, Dianne Groll, Claudio N Soares, Roumen Milev, Gustavo Vazquez, Megan Yang and 1 more

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in JMIR research protocols, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04664257 (Delivering Electronic Cognitive Behavioural Therapy to Patients With Bipolar Disorder and Residual Depressive Symptoms), which is not on this map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.7field-weighted citation impact, top 32% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT04664257 naunknown statusnot on this map

Delivering Electronic Cognitive Behavioural Therapy to Patients With Bipolar Disorder and Residual Depressive Symptoms

TypeinterventionalSponsorDr. Nazanin AlaviRan2020 to 2025Enrolled80ConditionsBipolar Disorder, Bipolar DepressionArmse-CBT
3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 2 institutions in 1 country.

Gilmar Gutierrez *Department of Psychiatry, Queen's University, Kingston, ON, Canada.ORCID https://orcid.org/0000-0003-0337-3737
Callum Stephenson *Department of Psychiatry, Queen's University, Kingston, ON, Canada.ORCID https://orcid.org/0000-0002-7929-1546
Jazmin Eadie *Department of Psychiatry, Queen's University, Kingston, ON, Canada.ORCID https://orcid.org/0000-0002-8268-8739
Elnaz MoghimiDepartment of Psychiatry, Queen's University, Kingston, ON, Canada.ORCID https://orcid.org/0000-0002-1010-284X
Mohsen Omrani *Department of Psychiatry, Queen's University, Kingston, ON, Canada.ORCID https://orcid.org/0000-0002-0461-1947
Dianne Groll *Department of Psychiatry, Queen's University, Kingston, ON, Canada.ORCID https://orcid.org/0000-0001-6913-5710
Claudio N Soares *Department of Psychiatry, Queen's University, Kingston, ON, Canada.ORCID https://orcid.org/0000-0001-7056-7174
Roumen Milev *Department of Psychiatry, Queen's University, Kingston, ON, Canada.ORCID https://orcid.org/0000-0001-6884-171X
Gustavo Vazquez *Department of Psychiatry, Queen's University, Kingston, ON, Canada.ORCID https://orcid.org/0000-0002-2918-3336
Megan Yang *Department of Psychiatry, Queen's University, Kingston, ON, Canada.ORCID https://orcid.org/0000-0001-6365-2039
Nazanin Alavi *Department of Psychiatry, Queen's University, Kingston, ON, Canada.ORCID https://orcid.org/0000-0002-1585-6771
Queen's University · CAOptech (Canada) · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBipolar disorder (BD) is a highly prevalent psychiatric condition that can significantly impact every aspect of a person's life if left untreated. A subtype of BD, bipolar disorder type II (BD-II), is characterized by long depressive episodes and residual depression symptoms, with short-lived hypomanic episodes. Medication and psychotherapy, such as cognitive behavioral therapy (CBT), are the main treatment options for BD-II. CBT specific for BD-II involves the recognition of warning signs, potentially triggering stimuli, and the development of coping skills to increase euthymic periods and improve global functioning. However, access to in-person CBT may be limited by several barriers, including low availability, high costs, and geographical limitations. Thus, web-based adaptations of CBT (e-CBT) have become a promising solution to address these treatment barriers. Nevertheless, e-CBT for the treatment of BD-II remains understudied.

objectiveThe proposed study aims to establish the first e-CBT program specific for the treatment of BD-II with residual depressive symptoms. The primary objective of this study will be to determine the effect of e-CBT in managing BD symptomatology. The secondary objective will be to assess the effects of this e-CBT program on quality of life and resilience. The tertiary objective will involve gathering user feedback using a posttreatment survey to support the continuous improvement and optimization of the proposed program.

methodsAdult participants (N=170) with a confirmed diagnosis of BD-II experiencing residual depressive symptoms will be randomly assigned to either the e-CBT and treatment as usual (TAU; n=85) group or the TAU (n=85) control group. Participants in the control group will be able to participate in the web-based program after the first 13 weeks. The e-CBT program will consist of 13 weekly web-based modules designed following a validated CBT framework. Participants will complete module-related homework and receive asynchronous personalized feedback from a therapist. TAU will consist of standard treatment services conducted outside of this research study. Depression and manic symptoms, quality of life, and resiliency will be assessed using clinically validated symptomatology questionnaires at baseline, week 6, and week 13.

resultsThe study received ethics approval in March 2020, and participant recruitment is expected to begin in February 2023 through targeted advertisements and physician referrals. Data collection and analysis are expected to conclude by December 2024. Linear and binomial regression (continuous and categorical outcomes, respectively) will be conducted along with qualitative interpretive methods.

conclusionsThe findings will be the first on the effectiveness of delivering e-CBT for patients with BD-II with residual depressive symptoms. This approach can provide an innovative method to address barriers to in-person psychotherapy by increasing accessibility and decreasing costs.

trial registrationClinicalTrials.gov NCT04664257; https://clinicaltrials.gov/ct2/show/NCT04664257. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): PRR1-10.2196/46157.

Indexed as

bipolar disordercognitive behavioral therapydepressioneHealthelectronic careinternetmental healthpsychotherapytreatmentweb-based therapy

Identifiers

PMID37140460
PMCPMC10238953
OpenAlexW4367019033

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.