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Collaborative care for depression and anxiety disorders: results and lessons learned from the Danish cluster-randomized Collabri trials

BACKGROUND: Meta-analyses suggest that collaborative care (CC) improves symptoms of depression and anxiety. In CC, a care manager collaborates with a general practitioner (GP) to provide evidence-based care. Most CC research is from the US, focusing on depression. As research results may not transfe...

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Autores principales: Curth, Nadja Kehler, Brinck-Claussen, Ursula Ødum, Hjorthøj, Carsten, Davidsen, Annette Sofie, Mikkelsen, John Hagel, Lau, Marianne Engelbrecht, Lundsteen, Merete, Csillag, Claudio, Christensen, Kaj Sparle, Jakobsen, Marie, Bojesen, Anders Bo, Nordentoft, Merete, Eplov, Lene Falgaard
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7673096/
https://www.ncbi.nlm.nih.gov/pubmed/33203365
http://dx.doi.org/10.1186/s12875-020-01299-3
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author Curth, Nadja Kehler
Brinck-Claussen, Ursula Ødum
Hjorthøj, Carsten
Davidsen, Annette Sofie
Mikkelsen, John Hagel
Lau, Marianne Engelbrecht
Lundsteen, Merete
Csillag, Claudio
Christensen, Kaj Sparle
Jakobsen, Marie
Bojesen, Anders Bo
Nordentoft, Merete
Eplov, Lene Falgaard
author_facet Curth, Nadja Kehler
Brinck-Claussen, Ursula Ødum
Hjorthøj, Carsten
Davidsen, Annette Sofie
Mikkelsen, John Hagel
Lau, Marianne Engelbrecht
Lundsteen, Merete
Csillag, Claudio
Christensen, Kaj Sparle
Jakobsen, Marie
Bojesen, Anders Bo
Nordentoft, Merete
Eplov, Lene Falgaard
author_sort Curth, Nadja Kehler
collection PubMed
description BACKGROUND: Meta-analyses suggest that collaborative care (CC) improves symptoms of depression and anxiety. In CC, a care manager collaborates with a general practitioner (GP) to provide evidence-based care. Most CC research is from the US, focusing on depression. As research results may not transfer to other settings, we developed and tested a Danish CC-model (the Collabri-model) for depression, panic disorder, generalized anxiety disorder, and social anxiety disorder in general practice. METHODS: Four cluster-randomized superiority trials evaluated the effects of CC. The overall aim was to explore if CC significantly improved depression and anxiety symptoms compared to treatment-as-usual at 6-months’ follow-up. The Collabri-model was founded on a multi-professional collaboration between a team of mental-health specialists (psychiatrists and care managers) and GPs. In collaboration with GPs, care managers provided treatment according to a structured plan, including regular reassessments and follow-up. Treatment modalities (cognitive behavioral therapy, psychoeducation, and medication) were offered based on stepped care algorithms. Face-to-face meetings between GPs and care managers took place regularly, and a psychiatrist provided supervision. The control group received treatment-as-usual. Primary outcomes were symptoms of depression (BDI-II) and anxiety (BAI) at 6-months’ follow-up. The incremental cost-effectiveness ratio (ICER) was estimated based on 6-months’ follow-up. RESULTS: Despite various attempts to improve inclusion rates, the necessary number of participants was not recruited. Seven hundred thirty-one participants were included: 325 in the depression trial and 406 in the anxiety trials. The Collabri-model was implemented, demonstrating good fidelity to core model elements. In favor of CC, we found a statistically significant difference between depression scores at 6-months’ follow-up in the depression trial. The difference was not significant at 15-months’ follow-up. The anxiety trials were pooled for data analysis due to inadequate sample sizes. At 6- and 15-months’ follow-up, there was a difference in anxiety symptoms favoring CC. These differences were not statistically significant. The ICER was 58,280 Euro per QALY. CONCLUSIONS: At 6 months, a significant difference between groups was found in the depression trial, but not in the pooled anxiety trial. However, these results should be cautiously interpreted as there is a risk of selection bias and lacking statistical power. TRIAL REGISTRATION: ClinicalTrials.gov, ID: NCT02678624 and NCT02678845. Retrospectively registered on 7 February 2016. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12875-020-01299-3.
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spelling pubmed-76730962020-11-20 Collaborative care for depression and anxiety disorders: results and lessons learned from the Danish cluster-randomized Collabri trials Curth, Nadja Kehler Brinck-Claussen, Ursula Ødum Hjorthøj, Carsten Davidsen, Annette Sofie Mikkelsen, John Hagel Lau, Marianne Engelbrecht Lundsteen, Merete Csillag, Claudio Christensen, Kaj Sparle Jakobsen, Marie Bojesen, Anders Bo Nordentoft, Merete Eplov, Lene Falgaard BMC Fam Pract Research Article BACKGROUND: Meta-analyses suggest that collaborative care (CC) improves symptoms of depression and anxiety. In CC, a care manager collaborates with a general practitioner (GP) to provide evidence-based care. Most CC research is from the US, focusing on depression. As research results may not transfer to other settings, we developed and tested a Danish CC-model (the Collabri-model) for depression, panic disorder, generalized anxiety disorder, and social anxiety disorder in general practice. METHODS: Four cluster-randomized superiority trials evaluated the effects of CC. The overall aim was to explore if CC significantly improved depression and anxiety symptoms compared to treatment-as-usual at 6-months’ follow-up. The Collabri-model was founded on a multi-professional collaboration between a team of mental-health specialists (psychiatrists and care managers) and GPs. In collaboration with GPs, care managers provided treatment according to a structured plan, including regular reassessments and follow-up. Treatment modalities (cognitive behavioral therapy, psychoeducation, and medication) were offered based on stepped care algorithms. Face-to-face meetings between GPs and care managers took place regularly, and a psychiatrist provided supervision. The control group received treatment-as-usual. Primary outcomes were symptoms of depression (BDI-II) and anxiety (BAI) at 6-months’ follow-up. The incremental cost-effectiveness ratio (ICER) was estimated based on 6-months’ follow-up. RESULTS: Despite various attempts to improve inclusion rates, the necessary number of participants was not recruited. Seven hundred thirty-one participants were included: 325 in the depression trial and 406 in the anxiety trials. The Collabri-model was implemented, demonstrating good fidelity to core model elements. In favor of CC, we found a statistically significant difference between depression scores at 6-months’ follow-up in the depression trial. The difference was not significant at 15-months’ follow-up. The anxiety trials were pooled for data analysis due to inadequate sample sizes. At 6- and 15-months’ follow-up, there was a difference in anxiety symptoms favoring CC. These differences were not statistically significant. The ICER was 58,280 Euro per QALY. CONCLUSIONS: At 6 months, a significant difference between groups was found in the depression trial, but not in the pooled anxiety trial. However, these results should be cautiously interpreted as there is a risk of selection bias and lacking statistical power. TRIAL REGISTRATION: ClinicalTrials.gov, ID: NCT02678624 and NCT02678845. Retrospectively registered on 7 February 2016. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12875-020-01299-3. BioMed Central 2020-11-18 /pmc/articles/PMC7673096/ /pubmed/33203365 http://dx.doi.org/10.1186/s12875-020-01299-3 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. 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 in a credit line to the data.
spellingShingle Research Article
Curth, Nadja Kehler
Brinck-Claussen, Ursula Ødum
Hjorthøj, Carsten
Davidsen, Annette Sofie
Mikkelsen, John Hagel
Lau, Marianne Engelbrecht
Lundsteen, Merete
Csillag, Claudio
Christensen, Kaj Sparle
Jakobsen, Marie
Bojesen, Anders Bo
Nordentoft, Merete
Eplov, Lene Falgaard
Collaborative care for depression and anxiety disorders: results and lessons learned from the Danish cluster-randomized Collabri trials
title Collaborative care for depression and anxiety disorders: results and lessons learned from the Danish cluster-randomized Collabri trials
title_full Collaborative care for depression and anxiety disorders: results and lessons learned from the Danish cluster-randomized Collabri trials
title_fullStr Collaborative care for depression and anxiety disorders: results and lessons learned from the Danish cluster-randomized Collabri trials
title_full_unstemmed Collaborative care for depression and anxiety disorders: results and lessons learned from the Danish cluster-randomized Collabri trials
title_short Collaborative care for depression and anxiety disorders: results and lessons learned from the Danish cluster-randomized Collabri trials
title_sort collaborative care for depression and anxiety disorders: results and lessons learned from the danish cluster-randomized collabri trials
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7673096/
https://www.ncbi.nlm.nih.gov/pubmed/33203365
http://dx.doi.org/10.1186/s12875-020-01299-3
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