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Miqdadi AI, Chong MC, Yoong TL, Koh OH, Alhadidi M. Internet-Based Cognitive-Behavioral Therapy for Individuals Experiencing Panic Attacks: A Scoping Literature Review. J Psychosoc Nurs Ment Health Serv 2024; 62:9-15. [PMID: 37751578 DOI: 10.3928/02793695-20230919-02] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/28/2023]
Abstract
Panic attacks (PAs) are prevalent and highly comorbid with various physical and psychological disorders. Cognitive-behavioral therapy (CBT) is a well-established psychosocial intervention. Internet-delivered CBT (ICBT) presents a promising avenue to overcome barriers and provide evidence-based support to those in need. The current scoping review aimed to systematically map the existing literature and identify knowledge gaps regarding the impact of ICBT on outcome measures for individuals experiencing PAs. The PRISMA guidelines for scoping reviews were used. A total of 3,044 records were retrieved, and 18 studies from 2013 to 2023 were ultimately included in the analysis. ICBT demonstrated effectiveness as a psychosocial intervention for improving panic symptoms and anxiety in individuals with PAs. However, the impact of ICBT on quality of life (QOL) remains inconclusive. All studies included in this review focused on assessing the severity of panic symptoms, with limited emphasis on measuring QOL. This scoping review holds significant implications for research and practice. However, further addressing the research needs identified in this review will enhance our understanding and improve treatment outcomes for PAs. [Journal of Psychosocial Nursing and Mental Health Services, 62(4), 9-15.].
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Iversen HM, Eide TO, Harvold M, Solem S, Kvale G, Hansen B, Hagen K. The Bergen 4-day treatment for panic disorder: replication and implementation in a new clinic. BMC Psychiatry 2022; 22:728. [PMID: 36418989 PMCID: PMC9686090 DOI: 10.1186/s12888-022-04380-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/14/2022] [Accepted: 11/09/2022] [Indexed: 11/25/2022] Open
Abstract
BACKGROUND Bergen 4-day treatment (B4DT) is a concentrated exposure-based treatment (cET), where the patient receives concentrated, individually tailored cognitive behavioral therapy (CBT) during four consecutive days. Previous findings have indicated that B4DT could be a promising treatment for panic disorder (PD). AIM The aim of the present study was to evaluate the implementation of B4DT for panic disorder with- and without agoraphobia, at a new clinic. This is the first replication study for B4DT on panic disorder. METHOD Thirty consecutively recruited patients with PD were included in an open trial design. Assessment of symptoms of panic disorder were measured with Panic Disorder Severity Scale (PDSS), while symptoms of generalized anxiety were assessed by Generalized Anxiety Disorder-7 (GAD-7) and depressive symptoms by Patient Health Questionnaire (PHQ-9) pre-treatment, post-treatment and at 3-month follow-up. Treatment satisfaction was measured with Client Satisfaction Questionnaire (CSQ-8) post-treatment. RESULTS The results showed a significant reduction in symptom severity from pre-treatment to post-treatment (d = 4.32), and at 3-month follow-up (d = 4.91). The proportion of patients classified as fulfilling the criteria for remission was 80.0% at post-treatment and 86.7% at follow up. There was a significant reduction in symptoms of depression and generalized anxiety. Treatment satisfaction was high and none of the patients dropped out. CONCLUSION The current study replicated the results from the original study and indicate that the treatment can be successfully implemented at new clinics. B4DT may be a promising treatment for panic disorder and comorbid symptoms of generalized anxiety and depression. Larger and more controlled studies are needed to establish the efficacy of B4DT for panic disorder.
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Affiliation(s)
- Hanne Moe Iversen
- grid.416049.e0000 0004 0627 2824Molde Hospital, Møre og Romsdal Hospital Trust, 6412 Molde, Norway
| | - Thorstein Olsen Eide
- grid.416049.e0000 0004 0627 2824Molde Hospital, Møre og Romsdal Hospital Trust, 6412 Molde, Norway ,grid.7914.b0000 0004 1936 7443Center for Crisis Psychology, Faculty of Psychology, University of Bergen, Bergen, Norway ,grid.412008.f0000 0000 9753 1393Bergen Center for Brain Plasticity, Haukeland University Hospital, Bergen, Norway
| | - Mathea Harvold
- grid.416049.e0000 0004 0627 2824Molde Hospital, Møre og Romsdal Hospital Trust, 6412 Molde, Norway
| | - Stian Solem
- grid.412008.f0000 0000 9753 1393Bergen Center for Brain Plasticity, Haukeland University Hospital, Bergen, Norway ,grid.5947.f0000 0001 1516 2393Department of Psychology, Norwegian University of Science and Technology, Trondheim, Norway
| | - Gerd Kvale
- grid.412008.f0000 0000 9753 1393Bergen Center for Brain Plasticity, Haukeland University Hospital, Bergen, Norway ,grid.7914.b0000 0004 1936 7443Department of Clinical Psychology, University of Bergen, Bergen, Norway
| | - Bjarne Hansen
- grid.7914.b0000 0004 1936 7443Center for Crisis Psychology, Faculty of Psychology, University of Bergen, Bergen, Norway ,grid.412008.f0000 0000 9753 1393Bergen Center for Brain Plasticity, Haukeland University Hospital, Bergen, Norway
| | - Kristen Hagen
- Molde Hospital, Møre og Romsdal Hospital Trust, 6412, Molde, Norway. .,Bergen Center for Brain Plasticity, Haukeland University Hospital, Bergen, Norway. .,Department of Mental Health, Norwegian University of Science and Technology, Trondheim, Norway.
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Clinical wisdom in the age of computer apps: a systematic review of four functions that may complement clinical treatment. COGNITIVE BEHAVIOUR THERAPIST 2022. [DOI: 10.1017/s1754470x22000368] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
Abstract
Mental health clinicians perform complex tasks with patients that potentially could be improved by the massive computing power available through mobile apps. This study aimed to analyse commercially available mobile and computer applications (apps) focused on treating psychiatric disorders. Apps were analysed by two independent raters for whether they took advantage of computer power to process data in a fashion that augments four main elements of clinical treatment including (1) assessment/diagnosis, (2) treatment planning, (3) treatment fidelity monitoring, and (4) outcome tracking. The evidence base for each of these apps was also explored via PsychINFO, Research Gate and Google Scholar. Searches of the Google Play Store, the Apple App Store, and the One Mind PsyberGuide found 722 apps labelled for mental health use, of which 163 apps were judged relevant to clinical work with patients with psychiatric disorders. Fifty-nine of these were determined to contain a computer-driven function for at least one of the four main elements of clinical treatment. The most common element was assessment/diagnosis (55/59 apps), followed by outcome tracking (34/59 apps). Six apps updated treatment plans using user input. Only one app tracked treatment fidelity. None of the apps contained computer-driven functions for all four elements. Twelve apps were supported in randomized clinical trials to show greater efficacy compared with either wait-list or other active treatments. Results showed that these four clinical elements can be meaningfully augmented, but the full potential of computer processing appears unreached in mental health-related apps.
Key learning aims
(1)
To understand what apps are currently available to treat clinical-level psychiatric problems.
(2)
To understand how many of the commercially available mental health-focused apps can be used for the treatment of clinical populations.
(3)
To understand how mental health services can be complemented by utilizing computer processing power within apps.
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Jain N, Stech E, Grierson AB, Sharrock MJ, Li I, Mahoney AEJ, Newby JM. A pilot study of intensive 7-day internet-based cognitive behavioral therapy for social anxiety disorder. J Anxiety Disord 2021; 84:102473. [PMID: 34534800 DOI: 10.1016/j.janxdis.2021.102473] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/27/2021] [Revised: 05/17/2021] [Accepted: 08/25/2021] [Indexed: 11/28/2022]
Abstract
Accessible, affordable cognitive behavioral therapy (CBT) options for Social Anxiety Disorder (SAD) that allow for rapid symptom improvement are needed. The present study investigated the first intensive, 7-day internet-based CBT for SAD. An open pilot trial was conducted to test the acceptability, feasibility and preliminary outcomes of the program in a sample of 16 participants (9 females, M age = 40.34, SD = 10.55) with a DSM-5 diagnosis of SAD. Participants were enrolled into the 6-lesson online program, and completed the Social Phobia Scale [SPS], Social Interaction Anxiety Scale [SIAS], Patient Health Questionnaire-9 (PHQ-9), and Work and Social Adjustment Scale (WSAS) at baseline, post and one month follow-up. We found support for the feasibility and acceptability of the program; 15 participants (93.8%) completed the program, and all participants reported the program was satisfactory. Large, significant reductions in social anxiety severity on both the SPS and SIAS (Hedges' gs = 1.26-1.9) and functional impairment (WSAS; gs = 0.88-0.98) were found at post-treatment and follow-up. Medium, significant reductions in depressive symptom severity were also found (gs = 0.88-0.98 at post and follow-up, respectively). A third of participants scored below the clinical cut-off on both the SPS and SIAS at post-treatment and follow-up. A randomized controlled trial with longer follow-up is needed to evaluate the efficacy of this intensive internet-based treatment for SAD. Implications and future research directions are discussed.
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Affiliation(s)
- Natasha Jain
- School of Psychology, University of New South Wales Sydney, New South Wales 2052, Australia; Clinical Research Unit for Anxiety and Depression, St Vincent's Hospital, Sydney, NSW 2010, Australia
| | - Eileen Stech
- School of Psychology, University of New South Wales Sydney, New South Wales 2052, Australia; Clinical Research Unit for Anxiety and Depression, St Vincent's Hospital, Sydney, NSW 2010, Australia
| | - Ashlee B Grierson
- School of Psychiatry, University of New South Wales Sydney, New South Wales 2052, Australia; Clinical Research Unit for Anxiety and Depression, St Vincent's Hospital, Sydney, NSW 2010, Australia
| | - Maria J Sharrock
- School of Psychiatry, University of New South Wales Sydney, New South Wales 2052, Australia; Clinical Research Unit for Anxiety and Depression, St Vincent's Hospital, Sydney, NSW 2010, Australia
| | - Ian Li
- School of Psychiatry, University of New South Wales Sydney, New South Wales 2052, Australia; Clinical Research Unit for Anxiety and Depression, St Vincent's Hospital, Sydney, NSW 2010, Australia
| | - Alison E J Mahoney
- School of Psychiatry, University of New South Wales Sydney, New South Wales 2052, Australia; Clinical Research Unit for Anxiety and Depression, St Vincent's Hospital, Sydney, NSW 2010, Australia
| | - Jill M Newby
- School of Psychology, University of New South Wales Sydney, New South Wales 2052, Australia; Black Dog Institute, Randwick, New South Wales 2031, Australia.
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