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Interventions to reduce readmissions: can complex adaptive system theory explain the heterogeneity in effectiveness? A systematic review
BACKGROUND: Successfully transitioning patients from hospital to home is a complex, often uncertain task. Despite significant efforts to improve the effectiveness of care transitions, they remain a challenge across health care systems. The lens of complex adaptive systems (CAS) provides a theoretica...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6260570/ https://www.ncbi.nlm.nih.gov/pubmed/30477576 http://dx.doi.org/10.1186/s12913-018-3712-7 |
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author | Penney, Lauren S. Nahid, Musarrat Leykum, Luci K. Lanham, Holly Jordan Noël, Polly H. Finley, Erin P. Pugh, Jacqueline |
author_facet | Penney, Lauren S. Nahid, Musarrat Leykum, Luci K. Lanham, Holly Jordan Noël, Polly H. Finley, Erin P. Pugh, Jacqueline |
author_sort | Penney, Lauren S. |
collection | PubMed |
description | BACKGROUND: Successfully transitioning patients from hospital to home is a complex, often uncertain task. Despite significant efforts to improve the effectiveness of care transitions, they remain a challenge across health care systems. The lens of complex adaptive systems (CAS) provides a theoretical approach for studying care transition interventions, with potential implications for intervention effectiveness. The aim of this study is to examine whether care transition interventions that are congruent with the complexity of the processes and conditions they are trying to improve will have better outcomes. METHODS: We identified a convenience sample of high-quality care transition intervention studies included in a care transition synthesis report by Kansagara and colleagues. After excluding studies that did not meet our criteria, we scored each study based on (1) the presence or absence of 5 CAS characteristics (learning, interconnections, self-organization, co-evolution, and emergence), as well as system-level interdependencies (resources and processes) in the intervention design, and (2) scored study readmission-related outcomes for effectiveness. RESULTS: Forty-four of the 154 reviewed articles met our inclusion criteria; these studies reported on 46 interventions. Nearly all the interventions involved a change in interconnections between people compared with care as usual (96% of interventions), and added resources (98%) and processes (98%). Most contained elements impacting learning (67%) and self-organization (69%). No intervention reflected either co-evolution or emergence. Almost 40% of interventions were rated as effective in terms of impact on hospital readmissions. Chi square testing for an association between outcomes and CAS characteristics was not significant for learning or self-organization, however interventions rated as effective were significantly more likely to have both of these characteristics (78%) than interventions rated as having no effect (32%, p = 0.005). CONCLUSIONS: Interventions with components that influenced learning and self-organization were associated with a significant improvement in hospital readmissions-related outcomes. Learning alone might be necessary but not be sufficient for improving transitions. However, building self-organization into the intervention might help people effectively respond to problems and adapt in uncertain situations to reduce the likelihood of readmission. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12913-018-3712-7) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6260570 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-62605702018-11-30 Interventions to reduce readmissions: can complex adaptive system theory explain the heterogeneity in effectiveness? A systematic review Penney, Lauren S. Nahid, Musarrat Leykum, Luci K. Lanham, Holly Jordan Noël, Polly H. Finley, Erin P. Pugh, Jacqueline BMC Health Serv Res Research Article BACKGROUND: Successfully transitioning patients from hospital to home is a complex, often uncertain task. Despite significant efforts to improve the effectiveness of care transitions, they remain a challenge across health care systems. The lens of complex adaptive systems (CAS) provides a theoretical approach for studying care transition interventions, with potential implications for intervention effectiveness. The aim of this study is to examine whether care transition interventions that are congruent with the complexity of the processes and conditions they are trying to improve will have better outcomes. METHODS: We identified a convenience sample of high-quality care transition intervention studies included in a care transition synthesis report by Kansagara and colleagues. After excluding studies that did not meet our criteria, we scored each study based on (1) the presence or absence of 5 CAS characteristics (learning, interconnections, self-organization, co-evolution, and emergence), as well as system-level interdependencies (resources and processes) in the intervention design, and (2) scored study readmission-related outcomes for effectiveness. RESULTS: Forty-four of the 154 reviewed articles met our inclusion criteria; these studies reported on 46 interventions. Nearly all the interventions involved a change in interconnections between people compared with care as usual (96% of interventions), and added resources (98%) and processes (98%). Most contained elements impacting learning (67%) and self-organization (69%). No intervention reflected either co-evolution or emergence. Almost 40% of interventions were rated as effective in terms of impact on hospital readmissions. Chi square testing for an association between outcomes and CAS characteristics was not significant for learning or self-organization, however interventions rated as effective were significantly more likely to have both of these characteristics (78%) than interventions rated as having no effect (32%, p = 0.005). CONCLUSIONS: Interventions with components that influenced learning and self-organization were associated with a significant improvement in hospital readmissions-related outcomes. Learning alone might be necessary but not be sufficient for improving transitions. However, building self-organization into the intervention might help people effectively respond to problems and adapt in uncertain situations to reduce the likelihood of readmission. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12913-018-3712-7) contains supplementary material, which is available to authorized users. BioMed Central 2018-11-26 /pmc/articles/PMC6260570/ /pubmed/30477576 http://dx.doi.org/10.1186/s12913-018-3712-7 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 Penney, Lauren S. Nahid, Musarrat Leykum, Luci K. Lanham, Holly Jordan Noël, Polly H. Finley, Erin P. Pugh, Jacqueline Interventions to reduce readmissions: can complex adaptive system theory explain the heterogeneity in effectiveness? A systematic review |
title | Interventions to reduce readmissions: can complex adaptive system theory explain the heterogeneity in effectiveness? A systematic review |
title_full | Interventions to reduce readmissions: can complex adaptive system theory explain the heterogeneity in effectiveness? A systematic review |
title_fullStr | Interventions to reduce readmissions: can complex adaptive system theory explain the heterogeneity in effectiveness? A systematic review |
title_full_unstemmed | Interventions to reduce readmissions: can complex adaptive system theory explain the heterogeneity in effectiveness? A systematic review |
title_short | Interventions to reduce readmissions: can complex adaptive system theory explain the heterogeneity in effectiveness? A systematic review |
title_sort | interventions to reduce readmissions: can complex adaptive system theory explain the heterogeneity in effectiveness? a systematic review |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6260570/ https://www.ncbi.nlm.nih.gov/pubmed/30477576 http://dx.doi.org/10.1186/s12913-018-3712-7 |
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