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The Effects of e-interventions on the Medical Outcomes of Hemodialysis Patients: A Retrospective Matched Patient Cohort Study
Aggressively applying e-interventions in the health care industry has become a global trend to improve the quality of medical care. The present retrospective study evaluated the effect of electronic information systems on the quality of medical care provide to hemodialysis (HD) patients. In total, 6...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5462823/ https://www.ncbi.nlm.nih.gov/pubmed/28592842 http://dx.doi.org/10.1038/s41598-017-02815-9 |
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author | Jenq, Chang-Chyi Hung, Cheng-Chieh Juan, Kuo-Chang Hsu, Kuang-Hung |
author_facet | Jenq, Chang-Chyi Hung, Cheng-Chieh Juan, Kuo-Chang Hsu, Kuang-Hung |
author_sort | Jenq, Chang-Chyi |
collection | PubMed |
description | Aggressively applying e-interventions in the health care industry has become a global trend to improve the quality of medical care. The present retrospective study evaluated the effect of electronic information systems on the quality of medical care provide to hemodialysis (HD) patients. In total, 600 patients (300 patients each in the e-intervention and non-e-intervention groups, were matched for sex, age, HD duration, diabetes, and hypertension) receiving HD at the study institute for four years were included in this study. The e-intervention group had significantly fewer hospitalization days than the non-e-intervention group. Cox regression analysis demonstrated that the non-e-intervention group had a significantly higher mortality rate than the e-intervention group. Stratified analysis revealed significant differences between the e-intervention and non-e-intervention groups in their serum albumin levels, urea reduction ratios, and cardiothoracic ratios at 1-year follow-up. The patients in the e-intervention group had a significantly higher HD blood flow rate, fewer hospitalization days and a lower 4-year all-cause mortality rate than those in the non-e-intervention group. The implementation of the e-intervention improved patient outcomes, but additional studies are required to evaluate the cost effectiveness of such implementations. |
format | Online Article Text |
id | pubmed-5462823 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-54628232017-06-08 The Effects of e-interventions on the Medical Outcomes of Hemodialysis Patients: A Retrospective Matched Patient Cohort Study Jenq, Chang-Chyi Hung, Cheng-Chieh Juan, Kuo-Chang Hsu, Kuang-Hung Sci Rep Article Aggressively applying e-interventions in the health care industry has become a global trend to improve the quality of medical care. The present retrospective study evaluated the effect of electronic information systems on the quality of medical care provide to hemodialysis (HD) patients. In total, 600 patients (300 patients each in the e-intervention and non-e-intervention groups, were matched for sex, age, HD duration, diabetes, and hypertension) receiving HD at the study institute for four years were included in this study. The e-intervention group had significantly fewer hospitalization days than the non-e-intervention group. Cox regression analysis demonstrated that the non-e-intervention group had a significantly higher mortality rate than the e-intervention group. Stratified analysis revealed significant differences between the e-intervention and non-e-intervention groups in their serum albumin levels, urea reduction ratios, and cardiothoracic ratios at 1-year follow-up. The patients in the e-intervention group had a significantly higher HD blood flow rate, fewer hospitalization days and a lower 4-year all-cause mortality rate than those in the non-e-intervention group. The implementation of the e-intervention improved patient outcomes, but additional studies are required to evaluate the cost effectiveness of such implementations. Nature Publishing Group UK 2017-06-07 /pmc/articles/PMC5462823/ /pubmed/28592842 http://dx.doi.org/10.1038/s41598-017-02815-9 Text en © The Author(s) 2017 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/. |
spellingShingle | Article Jenq, Chang-Chyi Hung, Cheng-Chieh Juan, Kuo-Chang Hsu, Kuang-Hung The Effects of e-interventions on the Medical Outcomes of Hemodialysis Patients: A Retrospective Matched Patient Cohort Study |
title | The Effects of e-interventions on the Medical Outcomes of Hemodialysis Patients: A Retrospective Matched Patient Cohort Study |
title_full | The Effects of e-interventions on the Medical Outcomes of Hemodialysis Patients: A Retrospective Matched Patient Cohort Study |
title_fullStr | The Effects of e-interventions on the Medical Outcomes of Hemodialysis Patients: A Retrospective Matched Patient Cohort Study |
title_full_unstemmed | The Effects of e-interventions on the Medical Outcomes of Hemodialysis Patients: A Retrospective Matched Patient Cohort Study |
title_short | The Effects of e-interventions on the Medical Outcomes of Hemodialysis Patients: A Retrospective Matched Patient Cohort Study |
title_sort | effects of e-interventions on the medical outcomes of hemodialysis patients: a retrospective matched patient cohort study |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5462823/ https://www.ncbi.nlm.nih.gov/pubmed/28592842 http://dx.doi.org/10.1038/s41598-017-02815-9 |
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