scholarly journals Testing the differential impact of an internet-based mental health intervention on outcomes of wellbeing and psychological distress during COVID-19: an uncontrolled intervention study (Preprint)

10.2196/28044 ◽  
2021 ◽  
Author(s):  
Joep van Agteren ◽  
Kathina Ali ◽  
Daniel Fassnacht ◽  
Matthew Iasiello ◽  
Gareth Furber ◽  
...  
2021 ◽  
Author(s):  
Joep van Agteren ◽  
Kathina Ali ◽  
Daniel Fassnacht ◽  
Matthew Iasiello ◽  
Gareth Furber ◽  
...  

BACKGROUND During COVID-19, the mental health of the general population has been precarious, making it pivotal to determine the impact of complementary internet-based psychological interventions on psychological distress and mental wellbeing. Both types of outcomes represent distinct dimensions of our mental health and congruent changes in outcomes of distress and wellbeing do not necessarily co-occur within individuals. When testing intervention impact it therefore is important to assess change on both outcomes on the individual-level, rather than solely testing group differences in average scores on the group-level. OBJECTIVE The current study set out to investigate the differential impact of an internet-based group mental health intervention on outcomes of wellbeing (i.e., wellbeing, life satisfaction, resilience) and indicators of psychological distress (i.e., depression, anxiety and stress). METHODS A 5-week mental health intervention was delivered to 90 participants using the Zoom platform. Impact on outcomes of distress, wellbeing and resilience was assessed at the start and the end of the program, with MANOVA and Reliable Change Indices (RCI) being used to determine program impact on the group and the individual level respectively. RESULTS The intervention significantly improved all mental health outcomes measured, showing small to moderate effects sizes. Larger effect sizes could be noted for those with problematic mental health scores at baseline. A total of 92% of participants demonstrated reliable change in at least one mental health outcome. Differential response patterns using RCI revealed that more than half of the participants showed improvement in both mental wellbeing and psychological distress, almost one third in outcomes of wellbeing only, and almost a quarter in distress only. CONCLUSIONS Results provide evidence for the significant impact of an internet-based mental health intervention during COVID-19 and indicates the importance of assessing dimensions of wellbeing and distress when determining intervention effectiveness. CLINICALTRIAL Not applicable


2011 ◽  
Vol 2011 ◽  
pp. 1-14 ◽  
Author(s):  
Cynthia Kline O'Sullivan ◽  
Kathryn H. Bowles ◽  
Sangchoon Jeon ◽  
Elizabeth Ercolano ◽  
Ruth McCorkle

Background/Significance. Ovarian cancer patients are prone to psychological distress. The clinical significance and best practices for distress among this population are poorly understood.Method. Secondary analysis of research records from a six month randomized control trial included 32 women with primary ovarian cancer. All received 18 advanced practice nurse (APN) visits over six months. Three sub-samples were determined by distress level (high/low) and mental health service consent for high distress. Demographic, clinical factors, patient problems and APN interventions obtained through content analysis and categorized via the Omaha System were compared.Results. Clinically-significant psychiatric conditions were identified in 8/18 (44%) high distress subjects consenting to mental health intervention. High distress subjects who refused mental health intervention had more income and housing problems than the other subjects, received the fewest interventions at baseline, and progressively more throughout the study, exceeding the other sub-samples by study completion.Conclusions. Highly-distressed women not psychologically ready to work through emotional consequences of cancer at treatment onset may obtain support from APNs to manage cancer problems as they arise. Additional studies may identify best practices for all highly-distressed women with cancer, particularly those who do not accept mental health services for distress, but suffer from its effects.


BMJ Open ◽  
2020 ◽  
Vol 10 (8) ◽  
pp. e039646
Author(s):  
Alexander Bäuerle ◽  
Johanna Graf ◽  
Christoph Jansen ◽  
Venja Musche ◽  
Adam Schweda ◽  
...  

IntroductionThe SARS-CoV-2 (COVID-19) pandemic poses immense challenges for national and international healthcare systems. Especially in times of social isolation and governmental restrictions, mental health should not be neglected. Innovative approaches are required to support psychologically burdened people. The e-mental health intervention ‘CoPE It’ has been developed to offer manualised and evidence-based psychotherapeutic support adapted to COVID-19-related issues in order to overcome psychological distress. In our study, we aim to assess the efficacy of the e-mental health intervention ‘CoPE It’ in terms of reducing distress (primary outcome), depression and anxiety symptoms as well as improving self-efficacy, quality of life and mindfulness (secondary outcomes). Furthermore, we want to evaluate the programme’s usability, feasibility and participants’ satisfaction with ‘CoPE It’ (tertiary outcome).Methods and analysisThe e-mental health intervention ‘CoPE It’ consists of four 30 min modules, conducted every other day, involving psychotherapeutic techniques of mindfulness-based stress reduction and cognitive–behavioural therapy. The widely applied and previously established content has been adapted to the context of the COVID-19 pandemic by experts in psychosomatic medicine and stress prevention. In our longitudinal study, adult participants—with adequate German language and computer skills, and who have provided informed consent—will be recruited via emergency support hotlines in Germany. Flyers will be distributed, and online channels will be used. Participants will complete a baseline assessment (T0), a postintervention assessment (T1) and assessments 1 and 3 months later (T2 and T3, respectively). We will perform repeated measures analysis of covariance, mixed linear models, standard analyses of variance and regression, and correlation coefficients. In case of binary outcome variables, either mixed logistic regression or χ² tests will be used.Ethics and disseminationThe Ethics Committees of the University of Duisburg-Essen (20-9243-BO) and University of Tübingen (469/2020BO) approved the study. Results will be published in peer-reviewed journals and conference presentations.Trial registration numberDRKS00021301.


2020 ◽  
Vol 42 (3) ◽  
pp. 647-648 ◽  
Author(s):  
Alexander Bäuerle ◽  
Johanna Graf ◽  
Christoph Jansen ◽  
Nora Dörrie ◽  
Florian Junne ◽  
...  

Abstract The outbreak of the novel SARS CoV-2-virus (COVID-19) is pushing national and international healthcare systems to their limits. The aspect of mental health issues, which has been neglected (so far) in times of social isolation and governmental restrictions, now demands innovative and situation-based approaches to support psychological burdened people. The developed e-mental health intervention ‘CoPE It’ offers manualized, evidence-based psychotherapeutic/psychological support to overcome psychological distress in times of COVID-19. E-mental health approaches offer great possibilities to support burdened people during the SARS-CoV-2 pandemic effectively.


2019 ◽  
Vol 37 (1) ◽  
pp. 73-80
Author(s):  
Mary Molewyk Doornbos ◽  
Gail Landheer Zandee ◽  
Barbara Timmermans ◽  
Jesse Moes ◽  
Emily Heitsch ◽  
...  

2017 ◽  
Author(s):  
Alicia Papas ◽  
Anthony D. LaMontagne ◽  
Allison J. Milner ◽  
Amanda Allisey ◽  
Andrew J. Noblet ◽  
...  

2012 ◽  
Author(s):  
Theresa Betancourt ◽  
Katrina Hann ◽  
Elizabeth Newnham ◽  
Adeyinka Akinsulure-Smith ◽  
Nathan Hansen

2012 ◽  
Author(s):  
Fiona Mathieson ◽  
Kara Mihaere ◽  
Sunny Collings ◽  
Anthony Dowell ◽  
James Stanley

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