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E-IMR: e-health added to face-to-face delivery of Illness Management & Recovery programme for people with severe mental illness, an exploratory clustered randomized controlled trial

BACKGROUND: E-mental health holds promise for people with severe mental illness, but has a limited evidence base. This study explored the effect of e-health added to face-to-face delivery of the Illness Management and Recovery Programme (e-IMR). METHOD: In this multi-centre exploratory cluster rando...

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Autores principales: Beentjes, Titus A. A., Goossens, Peter J. J., Vermeulen, Hester, Teerenstra, Steven, Nijhuis-van der Sanden, Maria W. G., van Gaal, Betsie G. I.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6292084/
https://www.ncbi.nlm.nih.gov/pubmed/30541536
http://dx.doi.org/10.1186/s12913-018-3767-5
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author Beentjes, Titus A. A.
Goossens, Peter J. J.
Vermeulen, Hester
Teerenstra, Steven
Nijhuis-van der Sanden, Maria W. G.
van Gaal, Betsie G. I.
author_facet Beentjes, Titus A. A.
Goossens, Peter J. J.
Vermeulen, Hester
Teerenstra, Steven
Nijhuis-van der Sanden, Maria W. G.
van Gaal, Betsie G. I.
author_sort Beentjes, Titus A. A.
collection PubMed
description BACKGROUND: E-mental health holds promise for people with severe mental illness, but has a limited evidence base. This study explored the effect of e-health added to face-to-face delivery of the Illness Management and Recovery Programme (e-IMR). METHOD: In this multi-centre exploratory cluster randomized controlled trial, seven clusters (n = 60; 41 in intervention group and 19 in control group) were randomly assigned to e-IMR + IMR or IMR only. Outcomes of illness management, self-management, recovery, symptoms, quality of life, and general health were measured at baseline (T(0)), halfway (T(1)), and at twelve months (T(2)). The data were analysed using mixed model for repeated measurements in four models: in 1) we included fixed main effects for time trend and group, in 2) we controlled for confounding effects, in 3) we controlled for interaction effects, and in 4) we performed sub-group analyses within the intervention group. RESULTS: Notwithstanding low activity on e-IMR, significant effects were present in model 1 analyses for self-management (p = .01) and recovery (p = .02) at T(1), and for general health perception (p = .02) at T(2), all in favour of the intervention group. In model 2, the confounding covariate gender explained the effects at T(1) and T(2), except for self-management. In model 3, the interacting covariate non-completer explained the effects for self-management (p = .03) at T(1). In model 4, the sub-group analyses of e-IMR-users versus non-users showed no differences in effect. CONCLUSION: Because of confounding and interaction modifications, effectiveness of e-IMR cannot be concluded. Low use of e-health precludes definite conclusions on its potential efficacy. Low use of e-IMR calls for a thorough process evaluation of the intervention. TRIAL REGISTRATION: The Dutch Trial Register (NTR4772) ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12913-018-3767-5) contains supplementary material, which is available to authorized users.
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spelling pubmed-62920842018-12-17 E-IMR: e-health added to face-to-face delivery of Illness Management & Recovery programme for people with severe mental illness, an exploratory clustered randomized controlled trial Beentjes, Titus A. A. Goossens, Peter J. J. Vermeulen, Hester Teerenstra, Steven Nijhuis-van der Sanden, Maria W. G. van Gaal, Betsie G. I. BMC Health Serv Res Research Article BACKGROUND: E-mental health holds promise for people with severe mental illness, but has a limited evidence base. This study explored the effect of e-health added to face-to-face delivery of the Illness Management and Recovery Programme (e-IMR). METHOD: In this multi-centre exploratory cluster randomized controlled trial, seven clusters (n = 60; 41 in intervention group and 19 in control group) were randomly assigned to e-IMR + IMR or IMR only. Outcomes of illness management, self-management, recovery, symptoms, quality of life, and general health were measured at baseline (T(0)), halfway (T(1)), and at twelve months (T(2)). The data were analysed using mixed model for repeated measurements in four models: in 1) we included fixed main effects for time trend and group, in 2) we controlled for confounding effects, in 3) we controlled for interaction effects, and in 4) we performed sub-group analyses within the intervention group. RESULTS: Notwithstanding low activity on e-IMR, significant effects were present in model 1 analyses for self-management (p = .01) and recovery (p = .02) at T(1), and for general health perception (p = .02) at T(2), all in favour of the intervention group. In model 2, the confounding covariate gender explained the effects at T(1) and T(2), except for self-management. In model 3, the interacting covariate non-completer explained the effects for self-management (p = .03) at T(1). In model 4, the sub-group analyses of e-IMR-users versus non-users showed no differences in effect. CONCLUSION: Because of confounding and interaction modifications, effectiveness of e-IMR cannot be concluded. Low use of e-health precludes definite conclusions on its potential efficacy. Low use of e-IMR calls for a thorough process evaluation of the intervention. TRIAL REGISTRATION: The Dutch Trial Register (NTR4772) ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12913-018-3767-5) contains supplementary material, which is available to authorized users. BioMed Central 2018-12-12 /pmc/articles/PMC6292084/ /pubmed/30541536 http://dx.doi.org/10.1186/s12913-018-3767-5 Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Beentjes, Titus A. A.
Goossens, Peter J. J.
Vermeulen, Hester
Teerenstra, Steven
Nijhuis-van der Sanden, Maria W. G.
van Gaal, Betsie G. I.
E-IMR: e-health added to face-to-face delivery of Illness Management & Recovery programme for people with severe mental illness, an exploratory clustered randomized controlled trial
title E-IMR: e-health added to face-to-face delivery of Illness Management & Recovery programme for people with severe mental illness, an exploratory clustered randomized controlled trial
title_full E-IMR: e-health added to face-to-face delivery of Illness Management & Recovery programme for people with severe mental illness, an exploratory clustered randomized controlled trial
title_fullStr E-IMR: e-health added to face-to-face delivery of Illness Management & Recovery programme for people with severe mental illness, an exploratory clustered randomized controlled trial
title_full_unstemmed E-IMR: e-health added to face-to-face delivery of Illness Management & Recovery programme for people with severe mental illness, an exploratory clustered randomized controlled trial
title_short E-IMR: e-health added to face-to-face delivery of Illness Management & Recovery programme for people with severe mental illness, an exploratory clustered randomized controlled trial
title_sort e-imr: e-health added to face-to-face delivery of illness management & recovery programme for people with severe mental illness, an exploratory clustered randomized controlled trial
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6292084/
https://www.ncbi.nlm.nih.gov/pubmed/30541536
http://dx.doi.org/10.1186/s12913-018-3767-5
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