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Predictive analytics and tailored interventions improve clinical outcomes in older adults: a randomized controlled trial

This study explored the potential to improve clinical outcomes in patients at risk of moving to the top segment of the cost acuity pyramid. This randomized controlled trial evaluated the impact of a Stepped-Care approach (predictive analytics + tailored nurse-driven interventions) on healthcare util...

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Autores principales: Golas, Sara Bersche, Nikolova-Simons, Mariana, Palacholla, Ramya, op den Buijs, Jorn, Garberg, Gary, Orenstein, Allison, Kvedar, Joseph
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8192898/
https://www.ncbi.nlm.nih.gov/pubmed/34112921
http://dx.doi.org/10.1038/s41746-021-00463-y
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author Golas, Sara Bersche
Nikolova-Simons, Mariana
Palacholla, Ramya
op den Buijs, Jorn
Garberg, Gary
Orenstein, Allison
Kvedar, Joseph
author_facet Golas, Sara Bersche
Nikolova-Simons, Mariana
Palacholla, Ramya
op den Buijs, Jorn
Garberg, Gary
Orenstein, Allison
Kvedar, Joseph
author_sort Golas, Sara Bersche
collection PubMed
description This study explored the potential to improve clinical outcomes in patients at risk of moving to the top segment of the cost acuity pyramid. This randomized controlled trial evaluated the impact of a Stepped-Care approach (predictive analytics + tailored nurse-driven interventions) on healthcare utilization among 370 older adult patients enrolled in a homecare management program and using a Personal Emergency Response System. The Control group (CG) received care as usual, while the Intervention group (IG) received Stepped-Care during a 180-day intervention period. The primary outcome, decrease in emergency encounters, was not statistically significant (15%, p = 0.291). However, compared to the CG, the IG had significant reductions in total 90-day readmissions (68%, p = 0.007), patients with 90-day readmissions (76%, p = 0.011), total 180-day readmissions (53%, p = 0.020), and EMS encounters (49%, p = 0.006). Predictive analytics combined with tailored interventions could potentially improve clinical outcomes in older adults, supporting population health management in home or community settings.
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spelling pubmed-81928982021-06-17 Predictive analytics and tailored interventions improve clinical outcomes in older adults: a randomized controlled trial Golas, Sara Bersche Nikolova-Simons, Mariana Palacholla, Ramya op den Buijs, Jorn Garberg, Gary Orenstein, Allison Kvedar, Joseph NPJ Digit Med Article This study explored the potential to improve clinical outcomes in patients at risk of moving to the top segment of the cost acuity pyramid. This randomized controlled trial evaluated the impact of a Stepped-Care approach (predictive analytics + tailored nurse-driven interventions) on healthcare utilization among 370 older adult patients enrolled in a homecare management program and using a Personal Emergency Response System. The Control group (CG) received care as usual, while the Intervention group (IG) received Stepped-Care during a 180-day intervention period. The primary outcome, decrease in emergency encounters, was not statistically significant (15%, p = 0.291). However, compared to the CG, the IG had significant reductions in total 90-day readmissions (68%, p = 0.007), patients with 90-day readmissions (76%, p = 0.011), total 180-day readmissions (53%, p = 0.020), and EMS encounters (49%, p = 0.006). Predictive analytics combined with tailored interventions could potentially improve clinical outcomes in older adults, supporting population health management in home or community settings. Nature Publishing Group UK 2021-06-10 /pmc/articles/PMC8192898/ /pubmed/34112921 http://dx.doi.org/10.1038/s41746-021-00463-y Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Golas, Sara Bersche
Nikolova-Simons, Mariana
Palacholla, Ramya
op den Buijs, Jorn
Garberg, Gary
Orenstein, Allison
Kvedar, Joseph
Predictive analytics and tailored interventions improve clinical outcomes in older adults: a randomized controlled trial
title Predictive analytics and tailored interventions improve clinical outcomes in older adults: a randomized controlled trial
title_full Predictive analytics and tailored interventions improve clinical outcomes in older adults: a randomized controlled trial
title_fullStr Predictive analytics and tailored interventions improve clinical outcomes in older adults: a randomized controlled trial
title_full_unstemmed Predictive analytics and tailored interventions improve clinical outcomes in older adults: a randomized controlled trial
title_short Predictive analytics and tailored interventions improve clinical outcomes in older adults: a randomized controlled trial
title_sort predictive analytics and tailored interventions improve clinical outcomes in older adults: a randomized controlled trial
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8192898/
https://www.ncbi.nlm.nih.gov/pubmed/34112921
http://dx.doi.org/10.1038/s41746-021-00463-y
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