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eMAP:CKD: electronic diagnosis and management assistance to primary care in chronic kidney disease

BACKGROUND: The increasing burden of chronic kidney disease (CKD) underpins the importance for improved early detection and management programs in primary care to delay disease progression and reduce mortality rates. eMAP:CKD is a pilot program for primary care aimed at addressing the gap between cu...

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Autores principales: Pefanis, Aspasia, Botlero, Roslin, Langham, Robyn G, Nelson, Craig L
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5837494/
https://www.ncbi.nlm.nih.gov/pubmed/27789783
http://dx.doi.org/10.1093/ndt/gfw366
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author Pefanis, Aspasia
Botlero, Roslin
Langham, Robyn G
Nelson, Craig L
author_facet Pefanis, Aspasia
Botlero, Roslin
Langham, Robyn G
Nelson, Craig L
author_sort Pefanis, Aspasia
collection PubMed
description BACKGROUND: The increasing burden of chronic kidney disease (CKD) underpins the importance for improved early detection and management programs in primary care to delay disease progression and reduce mortality rates. eMAP:CKD is a pilot program for primary care aimed at addressing the gap between current and best practice care for CKD. METHODS: Customized software programs were developed to integrate with primary care electronic health records (EHRs), allowing real-time prompting for CKD risk factor identification, testing, diagnosis and management according to Kidney Health Australia's (KHA) best practice recommendations. Primary care practices also received support from a visiting CKD nurse and education modules. Patient data were analyzed at baseline (150 910 patients) and at 15 months (175 917 patients) following the implementation of the program across 21 primary care practices. RESULTS: There was improvement in CKD risk factor recognition (29.40 versus 33.84%; P < 0.001) and more complete kidney health tests were performed (3.20 versus 4.30%; P < 0.001). There were more CKD diagnoses entered into the EHR (0.48 versus 1.55%; P < 0.001) and more patients achieved KHA's recommended management targets (P < 0.001). CONCLUSION: The eMAP:CKD program has shown an improvement in identification of patients at risk of CKD, appropriate testing and management of these patients, as well as increased documentation of CKD diagnosis entered into the EHRs. We have demonstrated efficacy in overcoming the verified gap between current and best practice in primary care. The success of the pilot program has encouraging implications for use across the primary care community as a whole.
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spelling pubmed-58374942018-03-09 eMAP:CKD: electronic diagnosis and management assistance to primary care in chronic kidney disease Pefanis, Aspasia Botlero, Roslin Langham, Robyn G Nelson, Craig L Nephrol Dial Transplant ORIGINAL ARTICLES BACKGROUND: The increasing burden of chronic kidney disease (CKD) underpins the importance for improved early detection and management programs in primary care to delay disease progression and reduce mortality rates. eMAP:CKD is a pilot program for primary care aimed at addressing the gap between current and best practice care for CKD. METHODS: Customized software programs were developed to integrate with primary care electronic health records (EHRs), allowing real-time prompting for CKD risk factor identification, testing, diagnosis and management according to Kidney Health Australia's (KHA) best practice recommendations. Primary care practices also received support from a visiting CKD nurse and education modules. Patient data were analyzed at baseline (150 910 patients) and at 15 months (175 917 patients) following the implementation of the program across 21 primary care practices. RESULTS: There was improvement in CKD risk factor recognition (29.40 versus 33.84%; P < 0.001) and more complete kidney health tests were performed (3.20 versus 4.30%; P < 0.001). There were more CKD diagnoses entered into the EHR (0.48 versus 1.55%; P < 0.001) and more patients achieved KHA's recommended management targets (P < 0.001). CONCLUSION: The eMAP:CKD program has shown an improvement in identification of patients at risk of CKD, appropriate testing and management of these patients, as well as increased documentation of CKD diagnosis entered into the EHRs. We have demonstrated efficacy in overcoming the verified gap between current and best practice in primary care. The success of the pilot program has encouraging implications for use across the primary care community as a whole. Oxford University Press 2018-01 2016-10-27 /pmc/articles/PMC5837494/ /pubmed/27789783 http://dx.doi.org/10.1093/ndt/gfw366 Text en © The Author 2016. Published by Oxford University Press on behalf of ERA-EDTA. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle ORIGINAL ARTICLES
Pefanis, Aspasia
Botlero, Roslin
Langham, Robyn G
Nelson, Craig L
eMAP:CKD: electronic diagnosis and management assistance to primary care in chronic kidney disease
title eMAP:CKD: electronic diagnosis and management assistance to primary care in chronic kidney disease
title_full eMAP:CKD: electronic diagnosis and management assistance to primary care in chronic kidney disease
title_fullStr eMAP:CKD: electronic diagnosis and management assistance to primary care in chronic kidney disease
title_full_unstemmed eMAP:CKD: electronic diagnosis and management assistance to primary care in chronic kidney disease
title_short eMAP:CKD: electronic diagnosis and management assistance to primary care in chronic kidney disease
title_sort emap:ckd: electronic diagnosis and management assistance to primary care in chronic kidney disease
topic ORIGINAL ARTICLES
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5837494/
https://www.ncbi.nlm.nih.gov/pubmed/27789783
http://dx.doi.org/10.1093/ndt/gfw366
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