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Evaluation of a digitally-enabled care pathway for acute kidney injury management in hospital emergency admissions

We developed a digitally enabled care pathway for acute kidney injury (AKI) management incorporating a mobile detection application, specialist clinical response team and care protocol. Clinical outcome data were collected from adults with AKI on emergency admission before (May 2016 to January 2017)...

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Autores principales: Connell, Alistair, Montgomery, Hugh, Martin, Peter, Nightingale, Claire, Sadeghi-Alavijeh, Omid, King, Dominic, Karthikesalingam, Alan, Hughes, Cian, Back, Trevor, Ayoub, Kareem, Suleyman, Mustafa, Jones, Gareth, Cross, Jennifer, Stanley, Sarah, Emerson, Mary, Merrick, Charles, Rees, Geraint, Laing, Chris, Raine, Rosalind
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6669220/
https://www.ncbi.nlm.nih.gov/pubmed/31396561
http://dx.doi.org/10.1038/s41746-019-0100-6
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author Connell, Alistair
Montgomery, Hugh
Martin, Peter
Nightingale, Claire
Sadeghi-Alavijeh, Omid
King, Dominic
Karthikesalingam, Alan
Hughes, Cian
Back, Trevor
Ayoub, Kareem
Suleyman, Mustafa
Jones, Gareth
Cross, Jennifer
Stanley, Sarah
Emerson, Mary
Merrick, Charles
Rees, Geraint
Laing, Chris
Raine, Rosalind
author_facet Connell, Alistair
Montgomery, Hugh
Martin, Peter
Nightingale, Claire
Sadeghi-Alavijeh, Omid
King, Dominic
Karthikesalingam, Alan
Hughes, Cian
Back, Trevor
Ayoub, Kareem
Suleyman, Mustafa
Jones, Gareth
Cross, Jennifer
Stanley, Sarah
Emerson, Mary
Merrick, Charles
Rees, Geraint
Laing, Chris
Raine, Rosalind
author_sort Connell, Alistair
collection PubMed
description We developed a digitally enabled care pathway for acute kidney injury (AKI) management incorporating a mobile detection application, specialist clinical response team and care protocol. Clinical outcome data were collected from adults with AKI on emergency admission before (May 2016 to January 2017) and after (May to September 2017) deployment at the intervention site and another not receiving the intervention. Changes in primary outcome (serum creatinine recovery to ≤120% baseline at hospital discharge) and secondary outcomes (30-day survival, renal replacement therapy, renal or intensive care unit (ICU) admission, worsening AKI stage and length of stay) were measured using interrupted time-series regression. Processes of care data (time to AKI recognition, time to treatment) were extracted from casenotes, and compared over two 9-month periods before and after implementation (January to September 2016 and 2017, respectively) using pre–post analysis. There was no step change in renal recovery or any of the secondary outcomes. Trends for creatinine recovery rates (estimated odds ratio (OR) = 1.04, 95% confidence interval (95% CI): 1.00–1.08, p = 0.038) and renal or ICU admission (OR = 0.95, 95% CI: 0.90–1.00, p = 0.044) improved significantly at the intervention site. However, difference-in-difference analyses between sites for creatinine recovery (estimated OR = 0.95, 95% CI: 0.90–1.00, p = 0.053) and renal or ICU admission (OR = 1.06, 95% CI: 0.98–1.16, p = 0.140) were not significant. Among process measures, time to AKI recognition and treatment of nephrotoxicity improved significantly (p < 0.001 and 0.047 respectively).
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spelling pubmed-66692202019-08-08 Evaluation of a digitally-enabled care pathway for acute kidney injury management in hospital emergency admissions Connell, Alistair Montgomery, Hugh Martin, Peter Nightingale, Claire Sadeghi-Alavijeh, Omid King, Dominic Karthikesalingam, Alan Hughes, Cian Back, Trevor Ayoub, Kareem Suleyman, Mustafa Jones, Gareth Cross, Jennifer Stanley, Sarah Emerson, Mary Merrick, Charles Rees, Geraint Laing, Chris Raine, Rosalind NPJ Digit Med Article We developed a digitally enabled care pathway for acute kidney injury (AKI) management incorporating a mobile detection application, specialist clinical response team and care protocol. Clinical outcome data were collected from adults with AKI on emergency admission before (May 2016 to January 2017) and after (May to September 2017) deployment at the intervention site and another not receiving the intervention. Changes in primary outcome (serum creatinine recovery to ≤120% baseline at hospital discharge) and secondary outcomes (30-day survival, renal replacement therapy, renal or intensive care unit (ICU) admission, worsening AKI stage and length of stay) were measured using interrupted time-series regression. Processes of care data (time to AKI recognition, time to treatment) were extracted from casenotes, and compared over two 9-month periods before and after implementation (January to September 2016 and 2017, respectively) using pre–post analysis. There was no step change in renal recovery or any of the secondary outcomes. Trends for creatinine recovery rates (estimated odds ratio (OR) = 1.04, 95% confidence interval (95% CI): 1.00–1.08, p = 0.038) and renal or ICU admission (OR = 0.95, 95% CI: 0.90–1.00, p = 0.044) improved significantly at the intervention site. However, difference-in-difference analyses between sites for creatinine recovery (estimated OR = 0.95, 95% CI: 0.90–1.00, p = 0.053) and renal or ICU admission (OR = 1.06, 95% CI: 0.98–1.16, p = 0.140) were not significant. Among process measures, time to AKI recognition and treatment of nephrotoxicity improved significantly (p < 0.001 and 0.047 respectively). Nature Publishing Group UK 2019-07-31 /pmc/articles/PMC6669220/ /pubmed/31396561 http://dx.doi.org/10.1038/s41746-019-0100-6 Text en © The Author(s) 2019 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
Connell, Alistair
Montgomery, Hugh
Martin, Peter
Nightingale, Claire
Sadeghi-Alavijeh, Omid
King, Dominic
Karthikesalingam, Alan
Hughes, Cian
Back, Trevor
Ayoub, Kareem
Suleyman, Mustafa
Jones, Gareth
Cross, Jennifer
Stanley, Sarah
Emerson, Mary
Merrick, Charles
Rees, Geraint
Laing, Chris
Raine, Rosalind
Evaluation of a digitally-enabled care pathway for acute kidney injury management in hospital emergency admissions
title Evaluation of a digitally-enabled care pathway for acute kidney injury management in hospital emergency admissions
title_full Evaluation of a digitally-enabled care pathway for acute kidney injury management in hospital emergency admissions
title_fullStr Evaluation of a digitally-enabled care pathway for acute kidney injury management in hospital emergency admissions
title_full_unstemmed Evaluation of a digitally-enabled care pathway for acute kidney injury management in hospital emergency admissions
title_short Evaluation of a digitally-enabled care pathway for acute kidney injury management in hospital emergency admissions
title_sort evaluation of a digitally-enabled care pathway for acute kidney injury management in hospital emergency admissions
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6669220/
https://www.ncbi.nlm.nih.gov/pubmed/31396561
http://dx.doi.org/10.1038/s41746-019-0100-6
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