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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...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2015
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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. |
format | Online Article Text |
id | pubmed-4531187 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
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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