Self-help cognitive behavioral therapy application for COVID-19-related mental health problems: A longitudinal trial.
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ABSTRACT: Background and aim
Recently, the availability and usefulness of mobile self-help mental health applications have increased, but few applications deal with COVID-19-related psychological problems. This study explored the intervention efficacy of a mobile application on addressing psychological problems related to COVID-19.Methods
A longitudinal control trial involving 129 Chinese participants with depression symptoms was conducted through the mobile application "Care for Your Mental Health and Sleep during COVID-19" (CMSC) based on WeChat. Participants were divided into two groups: mobile internet cognitive behavioral therapy (MiCBT) and wait-list. The primary outcome was improvement in depression symptoms. Secondary outcomes included improvement in anxiety and insomnia. The MiCBT group received three self-help CBT intervention sessions in one week via CMSC.Results
The MiCBT group showed significant improvement in depression and insomnia (allP < 0.05) compared with the wait-list group. Although both groups showed significant improvement in anxiety at the intervention's end, compared with the wait-list group, the MiCBT group had no significant advantage. Correlation analysis showed that improvement in depression and anxiety had a significant positive association with education level. Changes in insomnia were significantly negatively correlated with anxiety of COVID-19 at the baseline. CMSC was considered helpful (n=68, 81.9 %) and enjoyable (n=54, 65.9 %) in relieving depression and insomnia during the COVID-19 outbreak.Conclusions
CMSC is verified to be effective and convenient for improving COVID-19-related depression and insomnia symptoms. A large study with sufficient evidence is required to determine its continuous effect on reducing mental health problems during the pandemic.
SUBMITTER: Song J
PROVIDER: S-EPMC8047334 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:BACKGROUND:Perfectionism is elevated across, and increases risk for, a range of psychological disorders as well as having a direct negative effect on day-to-day function. A growing body of evidence shows that cognitive behavioral therapy (CBT) reduces perfectionism and psychological disorders, with medium to large effect sizes. Given the increased desire for Web-based interventions to facilitate access to evidence-based therapy, Internet-based CBT self-help interventions for perfectionism have been designed. Existing Web-based interventions have not included personalized guidance which has been shown to improve outcome rates. OBJECTIVE:To assess the efficacy of an Internet-based guided self-help CBT intervention for perfectionism at reducing symptoms of perfectionism and psychological disorders posttreatment and at 6-month follow-up. METHODS:A randomized controlled trial method is employed, comparing the treatment arm (Internet-based guided self-help CBT) with a waiting list control group. Outcomes are examined at 3 time points, T1 (baseline), T2 (postintervention at 12 weeks), T3 (follow-up at 24 weeks). Participants will be recruited through universities, online platforms, and social media and if eligible will be randomized using an automatic randomizer. RESULTS:Data will be analyzed to estimate the between group (intervention, control) effect on perfectionism, depression, and anxiety. Completer and intent-to-treat analyses will be conducted. Additional analysis will be conducted to investigate whether the number of modules completed is associated with change. Data collection should be finalized by December 2016, with submission of results for publication expected in mid-year 2017. Results will be reported in line with recommendations in the Consolidated Standards of Reporting Trials Statement for Randomized Controlled Trials of Electronic and Mobile Health Applications and Online TeleHealth (CONSORT-EHEALTH). CONCLUSIONS:Findings will contribute to the literature on treatment of perfectionism, the effect of treating perfectionism on depression and anxiety, and the efficacy of Internet-based guided self-help interventions. CLINICALTRIAL:ClinicalTrials.gov NCT02756871; https://clinicaltrials.gov/ct2/show/NCT02756871 (Archived by WebCite at http://www.webcitation.org/6lmIlSRAa).
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Project description:BackgroundThe considerable rise of mental health challenges during the COVID-19 pandemic has had detrimental effects on the public health sector and economy. To meet the overwhelming and growing demand for mental health care, innovative approaches must be employed to significantly expand mental health care delivery capacity. Although it is not feasible to increase the number of mental health care providers or hours they work in the short term, improving their time efficiency may be a viable solution. Virtually and digitally delivering psychotherapy, which has been shown to be efficient and clinically effective, might be a good method for addressing this growing demand.ObjectiveThis research protocol aims to evaluate the feasibility and efficacy of using an online, digital, asynchronous care model to treat mental health issues that are started or aggravated by stressors associated with the COVID-19 pandemic.MethodsThis nonrandomized controlled trial intervention will be delivered through the Online Psychotherapy Tool, a secure, cloud-based, digital mental health platform. Participants will be offered a 9-week electronically delivered cognitive behavioral therapy program that is tailored to address mental health problems in the context of the COVID-19 pandemic. This program will involve weekly self-guided educational material that provides an overview of behavioral skills and weekly homework. Participants (N=80) will receive personalized feedback from and weekly interaction with a therapist throughout the course of the program. The efficacy of the program will be evaluated using clinically validated symptomology questionnaires, which are to be completed by participants at baseline, week 5, and posttreatment. Inclusion criteria includes the capacity to consent; a primary diagnosis of generalized anxiety disorder or major depressive disorder, with symptoms that started or worsened during the COVID-19 pandemic; the ability to speak and read English; and consistent and reliable access to the internet. Exclusion criteria includes active psychosis, acute mania, severe alcohol or substance use disorder, and active suicidal or homicidal ideation.ResultsThis study received funding in May 2020. Ethics approval was received in June 2020. The recruitment of participants began in June 2020. Participant recruitment is being conducted via social media, web-based communities, and physician referrals. To date, 58 participants have been recruited (intervention group: n=35; control group: n=23). Data collection is expected to conclude by the end of 2020. Analyses (ie, linear regression analysis for continuous outcomes and binomial regression analysis for categorical outcomes) are expected to be completed by February 2021.ConclusionsIf proven feasible, this care delivery method could increase care capacity by up to fourfold. The findings from this study can potentially influence clinical practices and policies and increase accessibility to care during the COVID-19 pandemic, without sacrificing the quality of care.Trial registrationClinicalTrials.gov NCT04476667; https://clinicaltrials.gov/ct2/show/NCT04476667.International registered report identifier (irrid)DERR1-10.2196/24913.
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Project description:Major depressive disorder (MDD), generalized anxiety disorder (GAD), and panic disorder (PD), constitute common mental disorders that may have chronic and disabling courses. Cognitive and behavioral theories posit that lack of engagement in certain strategies (goal persistence, self-mastery, positive reappraisal) increases vulnerability toward these disorders. Further, scar effect theories assert that experiencing more of these disorders may diminish engagement in such strategies within individuals across time. However, dynamic longitudinal associations between cognitive-behavioral strategies (CBS) and disorder counts across adulthood are not well understood. Using bivariate latent difference score models, this study aimed to test the dynamic trajectories between disorder counts and each CBS across 18 years. Participants were 3,294 community-dwelling adults ages 45.62 years (SD = 11.41, range = 20-74; 54.61% female) who took part in 3 waves of measurement spaced 9 years apart. Self-mastery, disorder counts, and their change were not significantly related. However, higher within-subject increase in goal persistence (but not self-mastery or positive reappraisal) led to greater future decline in disorder counts, but not vice versa. Last, within individuals, greater prior levels of goal persistence and positive reappraisal predicted larger subsequent reduction in disorder counts, and vice versa. The reciprocal, bidirectional associations between specific CBS (goal persistence, positive reappraisal) and disorder counts support both vulnerability and scar models of depression and anxiety. Treatments for MDD, GAD, and PD should attempt to enhance perseverance and optimism. Theoretical and clinical implications are further discussed. (PsycINFO Database Record (c) 2019 APA, all rights reserved).
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