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Addressing Inpatient Glycaemic Control with an Inpatient Glucometry Alert System

Background. Poor inpatient glycaemic control has a prevalence exceeding 30% and results in increased length of stay and higher rates of hospital complications and inpatient mortality. The aim of this study was to improve inpatient glycaemic control by developing an alert system to process point-of-c...

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Autores principales: Seheult, J. N., Pazderska, A., Gaffney, P., Fogarty, J., Sherlock, M., Gibney, J., Boran, G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4531187/
https://www.ncbi.nlm.nih.gov/pubmed/26290664
http://dx.doi.org/10.1155/2015/807310
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author Seheult, J. N.
Pazderska, A.
Gaffney, P.
Fogarty, J.
Sherlock, M.
Gibney, J.
Boran, G.
author_facet Seheult, J. N.
Pazderska, A.
Gaffney, P.
Fogarty, J.
Sherlock, M.
Gibney, J.
Boran, G.
author_sort Seheult, J. N.
collection PubMed
description Background. Poor inpatient glycaemic control has a prevalence exceeding 30% and results in increased length of stay and higher rates of hospital complications and inpatient mortality. The aim of this study was to improve inpatient glycaemic control by developing an alert system to process point-of-care blood glucose (POC-BG) results. Methods. Microsoft Excel Macros were developed for the processing of daily glucometry data downloaded from the Cobas IT database. Alerts were generated according to ward location for any value less than 4 mmol/L (hypoglycaemia) or greater than 15 mmol/L (moderate-severe hyperglycaemia). The Diabetes Team provided a weekday consult service for patients flagged on the daily reports. This system was implemented for a 60-day period. Results. There was a statistically significant 20% reduction in the percentage of hyperglycaemic patient-day weighted values >15 mmol/L compared to the preimplementation period without a significant change in the percentage of hypoglycaemic values. The time-to-next-reading after a dysglycaemic POC-BG result was reduced by 14% and the time-to-normalization of a dysglycaemic result was reduced from 10.2 hours to 8.4 hours. Conclusion. The alert system reduced the percentage of hyperglycaemic patient-day weighted glucose values and the time-to-normalization of blood glucose.
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spelling pubmed-45311872015-08-19 Addressing Inpatient Glycaemic Control with an Inpatient Glucometry Alert System Seheult, J. N. Pazderska, A. Gaffney, P. Fogarty, J. Sherlock, M. Gibney, J. Boran, G. Int J Endocrinol Research Article Background. Poor inpatient glycaemic control has a prevalence exceeding 30% and results in increased length of stay and higher rates of hospital complications and inpatient mortality. The aim of this study was to improve inpatient glycaemic control by developing an alert system to process point-of-care blood glucose (POC-BG) results. Methods. Microsoft Excel Macros were developed for the processing of daily glucometry data downloaded from the Cobas IT database. Alerts were generated according to ward location for any value less than 4 mmol/L (hypoglycaemia) or greater than 15 mmol/L (moderate-severe hyperglycaemia). The Diabetes Team provided a weekday consult service for patients flagged on the daily reports. This system was implemented for a 60-day period. Results. There was a statistically significant 20% reduction in the percentage of hyperglycaemic patient-day weighted values >15 mmol/L compared to the preimplementation period without a significant change in the percentage of hypoglycaemic values. The time-to-next-reading after a dysglycaemic POC-BG result was reduced by 14% and the time-to-normalization of a dysglycaemic result was reduced from 10.2 hours to 8.4 hours. Conclusion. The alert system reduced the percentage of hyperglycaemic patient-day weighted glucose values and the time-to-normalization of blood glucose. Hindawi Publishing Corporation 2015 2015-07-28 /pmc/articles/PMC4531187/ /pubmed/26290664 http://dx.doi.org/10.1155/2015/807310 Text en Copyright © 2015 J. N. Seheult et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Seheult, J. N.
Pazderska, A.
Gaffney, P.
Fogarty, J.
Sherlock, M.
Gibney, J.
Boran, G.
Addressing Inpatient Glycaemic Control with an Inpatient Glucometry Alert System
title Addressing Inpatient Glycaemic Control with an Inpatient Glucometry Alert System
title_full Addressing Inpatient Glycaemic Control with an Inpatient Glucometry Alert System
title_fullStr Addressing Inpatient Glycaemic Control with an Inpatient Glucometry Alert System
title_full_unstemmed Addressing Inpatient Glycaemic Control with an Inpatient Glucometry Alert System
title_short Addressing Inpatient Glycaemic Control with an Inpatient Glucometry Alert System
title_sort addressing inpatient glycaemic control with an inpatient glucometry alert system
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4531187/
https://www.ncbi.nlm.nih.gov/pubmed/26290664
http://dx.doi.org/10.1155/2015/807310
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