Pular para o conteúdo principal

ETHNOS_APP

Início • Busca • Periódicos • Lista 0

Effectiveness and Cost-Effectiveness of Internet-Based Cognitive Behavioral Therapy for Insomnia in Clinical Settings

Dados Bibliográficos

ID15520188
AutoresPolina Pchelina (0000-0002-5051-2106, University of Bern, autor correspondente), М Г Полуэктов (0000-0001-6215-0918, Sechenov University), Mikhail Poluektov, Thomas Berger (0000-0002-2432-7791, University of Bern), Tobias Krieger (0000-0001-5137-0755, University of Bern), Simone B Duss (0000-0002-7247-0760, University Hospital of Bern), Claudio L Bassetti (0000-0002-4535-0245, University Hospital of Bern), Claudio Bassetti
Ano2020
Volume11
Data de publicação2020-08-20
Peer ReviewedSim
Open AccessSim
TipoARTICLE
PeriódicoFrontiers in Psychiatry (JOURNAL)
Identificadores do periódicoISSN: 1664-0640 • E-ISSN: 1664-0640
EditoraFrontiers Media (PUBLISHER • CH)
DOI10.3389/fpsyt.2020.00838
OpenAlexW3080172033
IdiomaEN
Citações recebidas1
Referências citadas73

Background Internet-delivered cognitive-behavior treatment for insomnia (iCBT-I) has the potential to fill the gap created by the discrepancy between insomnia cases and number of trained professionals. Although the effectiveness of this method was proven in multiple studies conducted in research settings, its feasibility in routine care is still unclear. Predictors, mediators, and moderators of treatment effect remain uncertain since previous studies often give contradictory results. The present study aims to investigate clinical effectiveness and cost-effectiveness of an internet-based CBT-I program Sleepsy in comparison with care as usual (CAU) among patients with CI recruited from clinical settings. Baseline data will be further analyzed to find predictors of treatment outcome Methods/design The proposed study is a parallel-group randomized controlled trial comparing CAU plus iCBT-I with CAU in a clinical setting. 110 participants will be referred from the medical doctors in Moscow. Both groups will have access to CAU, which corresponds to the treatment prescribed by the referring doctor. Patients of the first group will additionally get access to the iCBT-I program with the opportunity to contact a specialist (guidance on request) in a secured environment. The primary outcome is insomnia severity change from pre- to posttreatment. Secondary outcomes include change of subjective sleep characteristics, life quality, fatigue, daytime sleepiness, comorbid affective disorders, dysfunctional beliefs about sleep, sleep hygiene, healthcare consumption, productivity losses and longer term outcomes at 3 months follow-up. Predictor analysis will include baseline scores of the aforementioned outcomes along with treatment expectancies and personality traits. Discussion The proposed study is one of the first studies evaluating whether iCBT-I also works in routine care. We expect that recruitment of the participants let us determine the target group more precisely and exclude health problems interfering with treatment. Using CAU as control condition may result in a loss of power to detect a meaningful difference. Nevertheless, this approach is reasonable since it reconstructs the clinical situation faced by practicing doctors

Clinical trial · Cognition · Cognitive behavioral therapy · Cognitive behavioral therapy for insomnia · Cognitive therapy · Dysfunctional family · Insomnia · Intervention (counseling · Physical therapy · Psychiatry · Psychological intervention · Quality of life (healthcare · Randomized controlled trial · Sleep hygiene · Clinical Psychology · Digital Mental Health Interventions · Medicine · Nursing · Sleep and related disorders · Sleep and Wakefulness Research

  • Clinical effectiveness of internet-based cognitive behavioral therapy for insomnia in routine secondary care

    Open Access•Polina Pchelina, М Г Полуэктов et al.•Frontiers in Psychiatry•2024

  • Consort 2010 Statement

    Open Access•the CONSORT Group, Kenneth F Schulz et al.•BMC Medicine•2010

  • Psychometric properties of the credibility/expectancy questionnaire

    Open Access•Grant J Devilly, Thomas D Borkovec•Journal of Behavior Therapy and…•2000

  • Testing whether the DSM-5 personality disorder trait model can be measured with a reduced set of items

    Jessica Maples, Jessica L Maples et al.•Psychological Assessment•2015

  • European guideline for the diagnosis and treatment of insomnia

    Open Access•Dieter Riemann, Chiara Baglioni et al.•Journal of Sleep Research•2017

  • The Insomnia Severity Index

    Charles M Morin, Geneviève Belleville et al.•Sleep•2011

  • SPIRIT 2013 Statement

    Open Access•An-Wen Chan, An‐Wen Chan et al.•Annals of Internal Medicine•2013

  • Persuasive System Design Does Matter

    Open Access•Saskia M Kelders, Robin N Kok et al.•Journal of Medical Internet…•2012

  • Consort 2010 Statement

    Open Access•Kenneth F Schulz, Douglas G Altman et al.•Annals of Internal Medicine•2010

  • The Fatigue Severity Scale

    Lauren Krupp, Lauren B Krupp•Archives of Neurology•1989

  • Validation of the Insomnia Severity Index as an outcome measure for insomnia research

    Open Access•Célyne Bastien•Sleep Medicine•2001

  • G*Power 3

    Open Access•Franz Faul, Edgar Erdfelder et al.•Behavior Research Methods•2007

  • The MOS 36-ltem Short-Form Health Survey (SF-36)

    John E Ware, Cathy Donald Sherbourne•Medical Care•1992

  • Cluster analysis of insomniacsʼ MMPI profiles

    Jack D Edinger, Anna L Stout et al.•Psychosomatic Medicine•1988

  • Usual and Unusual Care

    Kenneth E Freedland, David C Mohr et al.•Psychosomatic Medicine•2011

  • An inventory for measuring clinical anxiety

    Aaron T Beck, Norman Epstein et al.•Journal of Consulting and…•1988

Obras citantes distintas1
Citações por ano0,5
Intervalo de citações2024 - 2024 (1)
Velocidade de citaçãorecent
Altamente citadoNão
Tipos de citaçãoNeutras: 1
Ethnos_APP • Projeto Open Source • Licença MIT • Frontend v2.0.0 • Privacidade e Cookies • Documentação da API: api.ethnos.app/docs • Código da API: GitHub • DOI: 10.5281/zenodo.17049435 • Código do Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae