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Positive effect of the INTERCARE nurse‐led model on reducing nursing home transfers: A nonrandomized stepped‐wedge design

BACKGROUND: Unplanned nursing home (NH) transfers are burdensome for residents and costly for health systems. Innovative nurse‐led models of care focusing on improving in‐house geriatric expertise are needed to decrease unplanned transfers. The aim was to test the clinical effectiveness of a compreh...

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Autores principales: Zúñiga, Franziska, Guerbaai, Raphaëlle‐Ashley, de Geest, Sabina, Popejoy, Lori L., Bartakova, Jana, Denhaerynck, Kris, Trutschel, Diana, Basinska, Kornelia, Nicca, Dunja, Kressig, Reto W., Zeller, Andreas, Wellens, Nathalie I. H., de Pietro, Carlo, Desmedt, Mario, Serdaly, Christine, Simon, Michael
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons, Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9305956/
https://www.ncbi.nlm.nih.gov/pubmed/35122238
http://dx.doi.org/10.1111/jgs.17677
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author Zúñiga, Franziska
Guerbaai, Raphaëlle‐Ashley
de Geest, Sabina
Popejoy, Lori L.
Bartakova, Jana
Denhaerynck, Kris
Trutschel, Diana
Basinska, Kornelia
Nicca, Dunja
Kressig, Reto W.
Zeller, Andreas
Wellens, Nathalie I. H.
de Pietro, Carlo
Desmedt, Mario
Serdaly, Christine
Simon, Michael
author_facet Zúñiga, Franziska
Guerbaai, Raphaëlle‐Ashley
de Geest, Sabina
Popejoy, Lori L.
Bartakova, Jana
Denhaerynck, Kris
Trutschel, Diana
Basinska, Kornelia
Nicca, Dunja
Kressig, Reto W.
Zeller, Andreas
Wellens, Nathalie I. H.
de Pietro, Carlo
Desmedt, Mario
Serdaly, Christine
Simon, Michael
author_sort Zúñiga, Franziska
collection PubMed
description BACKGROUND: Unplanned nursing home (NH) transfers are burdensome for residents and costly for health systems. Innovative nurse‐led models of care focusing on improving in‐house geriatric expertise are needed to decrease unplanned transfers. The aim was to test the clinical effectiveness of a comprehensive, contextually adapted geriatric nurse‐led model of care (INTERCARE) in reducing unplanned transfers from NHs to hospitals. METHODS: A multicenter nonrandomized stepped‐wedge design within a hybrid type‐2 effectiveness‐implementation study was implemented in 11 NHs in German‐speaking Switzerland. The first NH enrolled in June 2018 and the last in November 2019. The study lasted 18 months, with a baseline period of 3 months for each NH. Inclusion criteria were 60 or more long‐term care beds and 0.8 or more hospitalizations per 1′000 resident care days. Nine hundred and forty two long‐term NH residents were included between June 2018 and January 2020 with informed consent. Short‐term residents were excluded. The primary outcome was unplanned hospitalizations. A fully anonymized dataset of overall transfers of all NH residents served as validation. Analysis was performed with segmented mixed regression modeling. RESULTS: Three hundred and three unplanned and 64 planned hospitalizations occurred. During the baseline period, unplanned transfers increased over time (β (1) = 0.52), after which the trend significantly changed by a similar but opposite amount (β (2) = −0.52; p = 0.0001), resulting in a flattening of the average transfer rate throughout the postimplementation period (β (1) + β (2) ≈ 0). Controlling for age, gender, and cognitive performance did not affect these trends. The validation set showed a similar flattening trend. CONCLUSION: A complex intervention with six evidence‐based components demonstrated effectiveness in significantly reducing unplanned transfers of NH residents to hospitals. INTERCARE's success was driven by registered nurses in expanded roles and the use of tools for clinical decision‐making.
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spelling pubmed-93059562022-07-28 Positive effect of the INTERCARE nurse‐led model on reducing nursing home transfers: A nonrandomized stepped‐wedge design Zúñiga, Franziska Guerbaai, Raphaëlle‐Ashley de Geest, Sabina Popejoy, Lori L. Bartakova, Jana Denhaerynck, Kris Trutschel, Diana Basinska, Kornelia Nicca, Dunja Kressig, Reto W. Zeller, Andreas Wellens, Nathalie I. H. de Pietro, Carlo Desmedt, Mario Serdaly, Christine Simon, Michael J Am Geriatr Soc Regular Issue Content BACKGROUND: Unplanned nursing home (NH) transfers are burdensome for residents and costly for health systems. Innovative nurse‐led models of care focusing on improving in‐house geriatric expertise are needed to decrease unplanned transfers. The aim was to test the clinical effectiveness of a comprehensive, contextually adapted geriatric nurse‐led model of care (INTERCARE) in reducing unplanned transfers from NHs to hospitals. METHODS: A multicenter nonrandomized stepped‐wedge design within a hybrid type‐2 effectiveness‐implementation study was implemented in 11 NHs in German‐speaking Switzerland. The first NH enrolled in June 2018 and the last in November 2019. The study lasted 18 months, with a baseline period of 3 months for each NH. Inclusion criteria were 60 or more long‐term care beds and 0.8 or more hospitalizations per 1′000 resident care days. Nine hundred and forty two long‐term NH residents were included between June 2018 and January 2020 with informed consent. Short‐term residents were excluded. The primary outcome was unplanned hospitalizations. A fully anonymized dataset of overall transfers of all NH residents served as validation. Analysis was performed with segmented mixed regression modeling. RESULTS: Three hundred and three unplanned and 64 planned hospitalizations occurred. During the baseline period, unplanned transfers increased over time (β (1) = 0.52), after which the trend significantly changed by a similar but opposite amount (β (2) = −0.52; p = 0.0001), resulting in a flattening of the average transfer rate throughout the postimplementation period (β (1) + β (2) ≈ 0). Controlling for age, gender, and cognitive performance did not affect these trends. The validation set showed a similar flattening trend. CONCLUSION: A complex intervention with six evidence‐based components demonstrated effectiveness in significantly reducing unplanned transfers of NH residents to hospitals. INTERCARE's success was driven by registered nurses in expanded roles and the use of tools for clinical decision‐making. John Wiley & Sons, Inc. 2022-02-05 2022-05 /pmc/articles/PMC9305956/ /pubmed/35122238 http://dx.doi.org/10.1111/jgs.17677 Text en © 2022 The Authors. Journal of the American Geriatrics Society published by Wiley Periodicals LLC on behalf of The American Geriatrics Society. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
spellingShingle Regular Issue Content
Zúñiga, Franziska
Guerbaai, Raphaëlle‐Ashley
de Geest, Sabina
Popejoy, Lori L.
Bartakova, Jana
Denhaerynck, Kris
Trutschel, Diana
Basinska, Kornelia
Nicca, Dunja
Kressig, Reto W.
Zeller, Andreas
Wellens, Nathalie I. H.
de Pietro, Carlo
Desmedt, Mario
Serdaly, Christine
Simon, Michael
Positive effect of the INTERCARE nurse‐led model on reducing nursing home transfers: A nonrandomized stepped‐wedge design
title Positive effect of the INTERCARE nurse‐led model on reducing nursing home transfers: A nonrandomized stepped‐wedge design
title_full Positive effect of the INTERCARE nurse‐led model on reducing nursing home transfers: A nonrandomized stepped‐wedge design
title_fullStr Positive effect of the INTERCARE nurse‐led model on reducing nursing home transfers: A nonrandomized stepped‐wedge design
title_full_unstemmed Positive effect of the INTERCARE nurse‐led model on reducing nursing home transfers: A nonrandomized stepped‐wedge design
title_short Positive effect of the INTERCARE nurse‐led model on reducing nursing home transfers: A nonrandomized stepped‐wedge design
title_sort positive effect of the intercare nurse‐led model on reducing nursing home transfers: a nonrandomized stepped‐wedge design
topic Regular Issue Content
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9305956/
https://www.ncbi.nlm.nih.gov/pubmed/35122238
http://dx.doi.org/10.1111/jgs.17677
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