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Cluster randomised trial on the effectiveness of a computerised prompt to refer (back) patients with type 2 diabetes
AIMS: Information and communications technology (ICT) could support care organisations to cope with the increasing number of patients with diabetes mellitus. We aimed to aid diabetes care providers in allocating patients to the preferred treatment setting (hospital outpatient clinic or primary care...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6281259/ https://www.ncbi.nlm.nih.gov/pubmed/30517164 http://dx.doi.org/10.1371/journal.pone.0207653 |
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author | Ronda, Maaike C. M. Dijkhorst-Oei, Lioe-Ting Vos, Rimke C. Westers, Paul Rutten, Guy E. H. M. |
author_facet | Ronda, Maaike C. M. Dijkhorst-Oei, Lioe-Ting Vos, Rimke C. Westers, Paul Rutten, Guy E. H. M. |
author_sort | Ronda, Maaike C. M. |
collection | PubMed |
description | AIMS: Information and communications technology (ICT) could support care organisations to cope with the increasing number of patients with diabetes mellitus. We aimed to aid diabetes care providers in allocating patients to the preferred treatment setting (hospital outpatient clinic or primary care practice), by using the Electronic Medical Record (EMR). METHODS: A cluster randomised controlled trial. Physicians in primary and secondary care practices of the intervention group received an advisory message in the EMR during diabetes consultations if patients were treated in the ‘incorrect’ setting according to national management guidelines. Primary outcome: the proportion of patients that shifted to the correct treatment setting at one year follow-up. RESULTS: 47 (38 primary care and 9 internist) practices and 2778 patients were included. At baseline, 1197 (43.1%) patients were in the correct treatment setting (intervention 599; control 598). Advice most often (68.4%) regarded a consultation with the internist. After one year 12.4% of the patients in the intervention and 10.6% in the control group (p = 0.30) had shifted to the correct setting. Main reasons for not following advice were: 1. physician’s preference to consider other treatment options; 2. patients’ preferences. CONCLUSIONS: We could not find evidence that using the EMR to send consultation-linked advice to physicians resulted in a shift in patients. Physicians will not follow the advice, at least partly due to patients’ preferences. |
format | Online Article Text |
id | pubmed-6281259 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-62812592018-12-20 Cluster randomised trial on the effectiveness of a computerised prompt to refer (back) patients with type 2 diabetes Ronda, Maaike C. M. Dijkhorst-Oei, Lioe-Ting Vos, Rimke C. Westers, Paul Rutten, Guy E. H. M. PLoS One Research Article AIMS: Information and communications technology (ICT) could support care organisations to cope with the increasing number of patients with diabetes mellitus. We aimed to aid diabetes care providers in allocating patients to the preferred treatment setting (hospital outpatient clinic or primary care practice), by using the Electronic Medical Record (EMR). METHODS: A cluster randomised controlled trial. Physicians in primary and secondary care practices of the intervention group received an advisory message in the EMR during diabetes consultations if patients were treated in the ‘incorrect’ setting according to national management guidelines. Primary outcome: the proportion of patients that shifted to the correct treatment setting at one year follow-up. RESULTS: 47 (38 primary care and 9 internist) practices and 2778 patients were included. At baseline, 1197 (43.1%) patients were in the correct treatment setting (intervention 599; control 598). Advice most often (68.4%) regarded a consultation with the internist. After one year 12.4% of the patients in the intervention and 10.6% in the control group (p = 0.30) had shifted to the correct setting. Main reasons for not following advice were: 1. physician’s preference to consider other treatment options; 2. patients’ preferences. CONCLUSIONS: We could not find evidence that using the EMR to send consultation-linked advice to physicians resulted in a shift in patients. Physicians will not follow the advice, at least partly due to patients’ preferences. Public Library of Science 2018-12-05 /pmc/articles/PMC6281259/ /pubmed/30517164 http://dx.doi.org/10.1371/journal.pone.0207653 Text en © 2018 Ronda et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Ronda, Maaike C. M. Dijkhorst-Oei, Lioe-Ting Vos, Rimke C. Westers, Paul Rutten, Guy E. H. M. Cluster randomised trial on the effectiveness of a computerised prompt to refer (back) patients with type 2 diabetes |
title | Cluster randomised trial on the effectiveness of a computerised prompt to refer (back) patients with type 2 diabetes |
title_full | Cluster randomised trial on the effectiveness of a computerised prompt to refer (back) patients with type 2 diabetes |
title_fullStr | Cluster randomised trial on the effectiveness of a computerised prompt to refer (back) patients with type 2 diabetes |
title_full_unstemmed | Cluster randomised trial on the effectiveness of a computerised prompt to refer (back) patients with type 2 diabetes |
title_short | Cluster randomised trial on the effectiveness of a computerised prompt to refer (back) patients with type 2 diabetes |
title_sort | cluster randomised trial on the effectiveness of a computerised prompt to refer (back) patients with type 2 diabetes |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6281259/ https://www.ncbi.nlm.nih.gov/pubmed/30517164 http://dx.doi.org/10.1371/journal.pone.0207653 |
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