Improving Dialysis Adherence for High Risk Patients Using Automated Messaging: Proof of Concept
Abstract Comorbidities and socioeconomic barriers often limit patient adherence and self-management with hemodialysis. Missed sessions, often associated with communication barriers, can result in emergency dialysis and avoidable hospitalizations. This proof of concept study explored using a novel di...
Guardado en:
Autores principales: | , , , , , , |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Nature Portfolio
2017
|
Materias: | |
Acceso en línea: | https://doaj.org/article/54c89e27be8841d89a9747e12b58b3da |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
id |
oai:doaj.org-article:54c89e27be8841d89a9747e12b58b3da |
---|---|
record_format |
dspace |
spelling |
oai:doaj.org-article:54c89e27be8841d89a9747e12b58b3da2021-12-02T11:52:28ZImproving Dialysis Adherence for High Risk Patients Using Automated Messaging: Proof of Concept10.1038/s41598-017-03184-z2045-2322https://doaj.org/article/54c89e27be8841d89a9747e12b58b3da2017-06-01T00:00:00Zhttps://doi.org/10.1038/s41598-017-03184-zhttps://doaj.org/toc/2045-2322Abstract Comorbidities and socioeconomic barriers often limit patient adherence and self-management with hemodialysis. Missed sessions, often associated with communication barriers, can result in emergency dialysis and avoidable hospitalizations. This proof of concept study explored using a novel digital-messaging platform, EpxDialysis, to improve patient-to-dialysis center communication via widely available text messaging and telephone technology. A randomized controlled trial was conducted through Washington University-affiliated hemodialysis centers involving ESRD patients with poor attendance, defined as missing 2–6 sessions over the preceding 12 weeks. A cross-over study design evaluated appointment adherence between intervention and control groups. Comparing nonadherence rates eight weeks prior to enrollment, median appointment adherence after using the system increased by 75%, and median number of unintended hospitalization days fell by 31%. A conservative cost-benefit analysis of EpxDialysis demonstrates a 1:36 savings ratio from appointment adherence. EpxDialysis is a low-risk, cost-effective, intervention for increasing hemodialysis adherence in high-risk patients, especially at centers caring for vulnerable and low-income patients.A. SomJ. GroenendykT. AnK. PatelR. PetersG. PolitesW. R. RossNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 7, Iss 1, Pp 1-7 (2017) |
institution |
DOAJ |
collection |
DOAJ |
language |
EN |
topic |
Medicine R Science Q |
spellingShingle |
Medicine R Science Q A. Som J. Groenendyk T. An K. Patel R. Peters G. Polites W. R. Ross Improving Dialysis Adherence for High Risk Patients Using Automated Messaging: Proof of Concept |
description |
Abstract Comorbidities and socioeconomic barriers often limit patient adherence and self-management with hemodialysis. Missed sessions, often associated with communication barriers, can result in emergency dialysis and avoidable hospitalizations. This proof of concept study explored using a novel digital-messaging platform, EpxDialysis, to improve patient-to-dialysis center communication via widely available text messaging and telephone technology. A randomized controlled trial was conducted through Washington University-affiliated hemodialysis centers involving ESRD patients with poor attendance, defined as missing 2–6 sessions over the preceding 12 weeks. A cross-over study design evaluated appointment adherence between intervention and control groups. Comparing nonadherence rates eight weeks prior to enrollment, median appointment adherence after using the system increased by 75%, and median number of unintended hospitalization days fell by 31%. A conservative cost-benefit analysis of EpxDialysis demonstrates a 1:36 savings ratio from appointment adherence. EpxDialysis is a low-risk, cost-effective, intervention for increasing hemodialysis adherence in high-risk patients, especially at centers caring for vulnerable and low-income patients. |
format |
article |
author |
A. Som J. Groenendyk T. An K. Patel R. Peters G. Polites W. R. Ross |
author_facet |
A. Som J. Groenendyk T. An K. Patel R. Peters G. Polites W. R. Ross |
author_sort |
A. Som |
title |
Improving Dialysis Adherence for High Risk Patients Using Automated Messaging: Proof of Concept |
title_short |
Improving Dialysis Adherence for High Risk Patients Using Automated Messaging: Proof of Concept |
title_full |
Improving Dialysis Adherence for High Risk Patients Using Automated Messaging: Proof of Concept |
title_fullStr |
Improving Dialysis Adherence for High Risk Patients Using Automated Messaging: Proof of Concept |
title_full_unstemmed |
Improving Dialysis Adherence for High Risk Patients Using Automated Messaging: Proof of Concept |
title_sort |
improving dialysis adherence for high risk patients using automated messaging: proof of concept |
publisher |
Nature Portfolio |
publishDate |
2017 |
url |
https://doaj.org/article/54c89e27be8841d89a9747e12b58b3da |
work_keys_str_mv |
AT asom improvingdialysisadherenceforhighriskpatientsusingautomatedmessagingproofofconcept AT jgroenendyk improvingdialysisadherenceforhighriskpatientsusingautomatedmessagingproofofconcept AT tan improvingdialysisadherenceforhighriskpatientsusingautomatedmessagingproofofconcept AT kpatel improvingdialysisadherenceforhighriskpatientsusingautomatedmessagingproofofconcept AT rpeters improvingdialysisadherenceforhighriskpatientsusingautomatedmessagingproofofconcept AT gpolites improvingdialysisadherenceforhighriskpatientsusingautomatedmessagingproofofconcept AT wrross improvingdialysisadherenceforhighriskpatientsusingautomatedmessagingproofofconcept |
_version_ |
1718395046962659328 |