Effects and Mechanisms of a Web- and Mobile-Based Acceptance and Commitment Therapy Intervention for Anxiety and Depression Symptoms in Nurses: Fully Decentralized Randomized Controlled Trial

Lu, Yan'e; Li, Yang; Huang, Yongqi; Zhang, Xuan; Wang, Juan; Wu, Liuliu; Cao, Fenglin

doi:10.2196/51549

Cited by 3 publications

(1 citation statement)

References 77 publications

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“…This distress may seriously affect their normal study, work and family life, resulting in abnormal role behaviour, for instance. The degree of psychological distress varies greatly among patients of different ethnicities, and patients of Han ethnicity have significant psychological distress compared with patients of Li ethnicity [21]. Cookson et al [22] reported that economic status has always been the main factor affecting the psychological distress of patients with cancer.…”

Section: Discussionmentioning

confidence: 99%

Personalised graded psychological intervention on negative emotion and quality of life in patients with breast cancer

Hao,

Yi,

Lin

et al. 2024

THC

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BACKGROUND: Psychological factors are a risk factor for the incidence of breast cancer and have a significant impact on patient prognosis. OBJECTIVE: The present study aims to investigate the effects of personalised graded psychological intervention on negative emotion and quality of life in patients with breast cancer. METHODS: A total of 200 patients with breast cancer were randomly divided into two groups: an experimental group (n= 100) and control group (n= 100). Both groups received routine nursing care. The experimental group received personalised graded psychological intervention care, and the control group received routine nursing measures. After 2 months of standard treatment, the patients’ quality of life and negative emotions were evaluated using the self-rating depression scale (SDS), self-rating anxiety scale (SAS), social support rating scale (SSRS) and quality of life measurement scale (FACT-B) scoring criteria. RESULTS: There were no significant differences in the general data between the two groups (p> 0.05). Furthermore, there were no significant differences in the SDS, SAS, SSRS and FACT-B scores between the two groups before personalised graded psychological intervention (p> 0.05). After the intervention, the experimental group exhibited an improved nursing effect compared with the control group. The SDS and SAS scores were lower in the experimental group than in the control group (p< 0.05); after the intervention, the SDS and SAS scores were significantly lower in the experimental group than in the control group (p< 0.05). The SSRS and FACT-B scores were higher in the experimental group than in the control group (p< 0.05), and the experimental group’s post-intervention SSRS and FACT-B scores were significantly higher than before the intervention (p< 0.05). CONCLUSIONS: The use of personalised graded psychological intervention for the nursing of patients with breast cancer in clinical practice can significantly reduce patients’ negative emotions as well as improve positive emotions and quality of life; thus, this method can be popularised in the nursing process.

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Section: Discussionmentioning

confidence: 99%

Personalised graded psychological intervention on negative emotion and quality of life in patients with breast cancer

Hao,

Yi,

Lin

et al. 2024

THC

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Feasibility, acceptability and outcomes of a contextual schema therapy-based mobile program for depressive symptoms in adults

Stroian,

David,

Hora

et al. 2024

Journal of Contextual Behavioral Science

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Digital Psychotherapies for Adults Experiencing Depressive Symptoms: Systematic Review and Meta-Analysis

Omylinska Thurston,

Aithal,

Liverpool

et al. 2024

JMIR Ment Health

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Background Depression affects 5% of adults and it is a major cause of disability worldwide. Digital psychotherapies offer an accessible solution addressing this issue. This systematic review examines a spectrum of digital psychotherapies for depression, considering both their effectiveness and user perspectives. Objective This review focuses on identifying (1) the most common types of digital psychotherapies, (2) clients’ and practitioners’ perspectives on helpful and unhelpful aspects, and (3) the effectiveness of digital psychotherapies for adults with depression. Methods A mixed methods protocol was developed using PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines. The search strategy used the Population, Intervention, Comparison, Outcomes, and Study Design (PICOS) framework covering 2010 to 2024 and 7 databases were searched. Overall, 13 authors extracted data, and all aspects of the review were checked by >1 reviewer to minimize biases. Quality appraisal was conducted for all studies. The clients’ and therapists’ perceptions on helpful and unhelpful factors were identified using qualitative narrative synthesis. Meta-analyses of depression outcomes were conducted using the standardized mean difference (calculated as Hedges g) of the postintervention change between digital psychotherapy and control groups. Results Of 3303 initial records, 186 records (5.63%; 160 studies) were included in the review. Quantitative studies (131/160, 81.8%) with a randomized controlled trial design (88/160, 55%) were most common. The overall sample size included 70,720 participants (female: n=51,677, 73.07%; male: n=16,779, 23.73%). Digital interventions included “stand-alone” or non–human contact interventions (58/160, 36.2%), “human contact” interventions (11/160, 6.8%), and “blended” including stand-alone and human contact interventions (91/160, 56.8%). What clients and practitioners perceived as helpful in digital interventions included support with motivation and accessibility, explanation of task reminders, resources, and learning skills to manage symptoms. What was perceived as unhelpful included problems with usability and a lack of direction or explanation. A total of 80 studies with 16,072 participants were included in the meta-analysis, revealing a moderate to large effect in favor of digital psychotherapies for depression (Hedges g=–0.61, 95% CI –0.75 to –0.47; Z=–8.58; P<.001). Subgroup analyses of the studies with different intervention delivery formats and session frequency did not have a statistically significant effect on the results (P=.48 and P=.97, respectively). However, blended approaches revealed a large effect size (Hedges g=–0.793), while interventions involving human contact (Hedges g=–0.42) or no human contact (Hedges g=–0.40) had slightly smaller effect sizes. Conclusions Digital interventions for depression were found to be effective regardless of format and frequency. Blended interventions have larger effect size than those involving human contact or no human contact. Digital interventions were helpful especially for diverse ethnic groups and young women. Future research should focus on understanding the sources of heterogeneity based on intervention and population characteristics. Trial Registration PROSPERO CRD42021238462; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=238462

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Effects and Mechanisms of a Web- and Mobile-Based Acceptance and Commitment Therapy Intervention for Anxiety and Depression Symptoms in Nurses: Fully Decentralized Randomized Controlled Trial

Cited by 3 publications

References 77 publications

Personalised graded psychological intervention on negative emotion and quality of life in patients with breast cancer

Personalised graded psychological intervention on negative emotion and quality of life in patients with breast cancer

Feasibility, acceptability and outcomes of a contextual schema therapy-based mobile program for depressive symptoms in adults

Digital Psychotherapies for Adults Experiencing Depressive Symptoms: Systematic Review and Meta-Analysis

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