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The impact of a remote monitoring system of healthcare resource consumption in patients on automated peritoneal dialysis (APD): A simulation study

Aims: Remote monitoring (RM) can improve management of chronic diseases. We evaluated the impact of RM in automated peritoneal dialysis (APD) in a simulation study. Materials and methods: We simulated 12 patient scenarios with common clinical problems and estimated the likely healthcare resource con...

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Autores principales: Uchiyama, Kiyotaka, Washida, Naoki, Yube, Nobuyuki, Kasai, Takahiro, Shinozuka, Keisuke, Morimoto, Kohkichi, Hishikawa, Akihito, Inoue, Hiroyuki, Urai, Hidenori, Hagiwara, Aika, Fujii, Kentaro, Wakino, Shu, Deenitchina, Souzana, Itoh, Hiroshi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dustri-Verlag Dr. Karl Feistle 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6206566/
https://www.ncbi.nlm.nih.gov/pubmed/30106369
http://dx.doi.org/10.5414/CN109471
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author Uchiyama, Kiyotaka
Washida, Naoki
Yube, Nobuyuki
Kasai, Takahiro
Shinozuka, Keisuke
Morimoto, Kohkichi
Hishikawa, Akihito
Inoue, Hiroyuki
Urai, Hidenori
Hagiwara, Aika
Fujii, Kentaro
Wakino, Shu
Deenitchina, Souzana
Itoh, Hiroshi
author_facet Uchiyama, Kiyotaka
Washida, Naoki
Yube, Nobuyuki
Kasai, Takahiro
Shinozuka, Keisuke
Morimoto, Kohkichi
Hishikawa, Akihito
Inoue, Hiroyuki
Urai, Hidenori
Hagiwara, Aika
Fujii, Kentaro
Wakino, Shu
Deenitchina, Souzana
Itoh, Hiroshi
author_sort Uchiyama, Kiyotaka
collection PubMed
description Aims: Remote monitoring (RM) can improve management of chronic diseases. We evaluated the impact of RM in automated peritoneal dialysis (APD) in a simulation study. Materials and methods: We simulated 12 patient scenarios with common clinical problems and estimated the likely healthcare resource consumption with and without the availability of RM (RM+ and RM– groups, respectively). Scenarios were evaluated 4 times by randomly allocated nephrologist-nurse teams or nephrologist-alone assessors. Results: The RM+ group was assessed as having significantly lower total healthcare resource consumption compared with the RM– group (36.8 vs. 107.5 total episodes of resource consumption, p = 0.002). The RM+ group showed significantly lower “unplanned hospital visits” (2.3 vs. 11.3, p = 0.005), “emergency room visits” (0.5 vs. 5.3, p = 0.003), “home visits” (0.5 vs. 5.8, p = 0.016), “exchanges over the telephone” (18.5 vs. 57.8, p = 0.002), and “change to hemodialysis” (0.5 vs. 2.5, p = 0.003). Evaluations did not differ between nephrologist-nurse teams vs. nephrologist-alone assessors. Conclusion: RM can be expected to reduce healthcare resource consumption in APD patients.
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spelling pubmed-62065662018-11-06 The impact of a remote monitoring system of healthcare resource consumption in patients on automated peritoneal dialysis (APD): A simulation study Uchiyama, Kiyotaka Washida, Naoki Yube, Nobuyuki Kasai, Takahiro Shinozuka, Keisuke Morimoto, Kohkichi Hishikawa, Akihito Inoue, Hiroyuki Urai, Hidenori Hagiwara, Aika Fujii, Kentaro Wakino, Shu Deenitchina, Souzana Itoh, Hiroshi Clin Nephrol Research Article Aims: Remote monitoring (RM) can improve management of chronic diseases. We evaluated the impact of RM in automated peritoneal dialysis (APD) in a simulation study. Materials and methods: We simulated 12 patient scenarios with common clinical problems and estimated the likely healthcare resource consumption with and without the availability of RM (RM+ and RM– groups, respectively). Scenarios were evaluated 4 times by randomly allocated nephrologist-nurse teams or nephrologist-alone assessors. Results: The RM+ group was assessed as having significantly lower total healthcare resource consumption compared with the RM– group (36.8 vs. 107.5 total episodes of resource consumption, p = 0.002). The RM+ group showed significantly lower “unplanned hospital visits” (2.3 vs. 11.3, p = 0.005), “emergency room visits” (0.5 vs. 5.3, p = 0.003), “home visits” (0.5 vs. 5.8, p = 0.016), “exchanges over the telephone” (18.5 vs. 57.8, p = 0.002), and “change to hemodialysis” (0.5 vs. 2.5, p = 0.003). Evaluations did not differ between nephrologist-nurse teams vs. nephrologist-alone assessors. Conclusion: RM can be expected to reduce healthcare resource consumption in APD patients. Dustri-Verlag Dr. Karl Feistle 2018-05 2018-08-14 /pmc/articles/PMC6206566/ /pubmed/30106369 http://dx.doi.org/10.5414/CN109471 Text en © Dustri-Verlag Dr. K. Feistle http://creativecommons.org/licenses/by/2.5/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Uchiyama, Kiyotaka
Washida, Naoki
Yube, Nobuyuki
Kasai, Takahiro
Shinozuka, Keisuke
Morimoto, Kohkichi
Hishikawa, Akihito
Inoue, Hiroyuki
Urai, Hidenori
Hagiwara, Aika
Fujii, Kentaro
Wakino, Shu
Deenitchina, Souzana
Itoh, Hiroshi
The impact of a remote monitoring system of healthcare resource consumption in patients on automated peritoneal dialysis (APD): A simulation study
title The impact of a remote monitoring system of healthcare resource consumption in patients on automated peritoneal dialysis (APD): A simulation study
title_full The impact of a remote monitoring system of healthcare resource consumption in patients on automated peritoneal dialysis (APD): A simulation study
title_fullStr The impact of a remote monitoring system of healthcare resource consumption in patients on automated peritoneal dialysis (APD): A simulation study
title_full_unstemmed The impact of a remote monitoring system of healthcare resource consumption in patients on automated peritoneal dialysis (APD): A simulation study
title_short The impact of a remote monitoring system of healthcare resource consumption in patients on automated peritoneal dialysis (APD): A simulation study
title_sort impact of a remote monitoring system of healthcare resource consumption in patients on automated peritoneal dialysis (apd): a simulation study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6206566/
https://www.ncbi.nlm.nih.gov/pubmed/30106369
http://dx.doi.org/10.5414/CN109471
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