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A team-based approach to warfarin management in long term care: A feasibility study of the MEDeINR electronic decision support system
BACKGROUND: Previous studies in long-term care (LTC) have demonstrated that warfarin management is suboptimal with preventable adverse events often occurring as a result of poor International Normalized Ratio (INR) control. To assist LTC teams with the challenge of maintaining residents on warfarin...
Autores principales: | , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
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BioMed Central
2010
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2902482/ https://www.ncbi.nlm.nih.gov/pubmed/20537178 http://dx.doi.org/10.1186/1471-2318-10-38 |
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author | Papaioannou, Alexandra Kennedy, Courtney C Campbell, Glenda Stroud, Jacqueline B Wang, Luqi Dolovich, Lisa Crowther, Mark A |
author_facet | Papaioannou, Alexandra Kennedy, Courtney C Campbell, Glenda Stroud, Jacqueline B Wang, Luqi Dolovich, Lisa Crowther, Mark A |
author_sort | Papaioannou, Alexandra |
collection | PubMed |
description | BACKGROUND: Previous studies in long-term care (LTC) have demonstrated that warfarin management is suboptimal with preventable adverse events often occurring as a result of poor International Normalized Ratio (INR) control. To assist LTC teams with the challenge of maintaining residents on warfarin in the therapeutic range (INR of 2.0 to 3.0), we developed an electronic decision support system that was based on a validated algorithm for warfarin dosing. We evaluated the MEDeINR system in a pre-post implementation design by examining the impact on INR control, testing frequency, and experiences of staff in using the system. METHODS: For this feasibility study, we piloted the MEDeINR system in six LTC homes in Ontario, Canada. All128 residents (without a prosthetic valve) who were taking warfarin were included. Three-months of INR data prior to MEDeINR was collected via a retrospective chart audit, and three-months of INR data after implementation of MEDeINR was captured in the central computer database. The primary outcomes compared in a pre-post design were time in therapeutic range (TTR) and time in sub/supratherapeutic ranges based on all INR measures for every resident on warfarin. Secondary measures included the number of monthly INR tests/resident and survey/focus-group feedback from the LTC teams. RESULTS: LTC homes in our study had TTR's that were higher than past reports prior to the intervention. Overall, the TTR increased during the MEDeINR phase (65 to 69%), but was only significantly increased for one home (62% to 71%, p < 0.05). The percentage of time in supratherapeutic decreased from 14% to 11%, p = 0.08); there was little change for the subtherapeutic range (21% to 20%, p = 0.66). Overall, the average number of INR tests/30 days decreased from 4.2 to 3.1 (p < 0.0001) per resident after implementation of MEDeINR. Feedback received from LTC clinicians and staff was that the program decreased the work-load, improved confidence in management and decisions, and was generally easy to use. CONCLUSION: Although LTC homes in our sample had TTR's that were relatively high prior to the intervention, the MEDeINR program represented a useful tool to promote optimal TTR, decrease INR venipunctures, streamline processes, and increase nurse and physician confidence around warfarin management. We have demonstrated that MEDeINR was a practical, usable clinical information system that can be incorporated into the LTC environment. |
format | Text |
id | pubmed-2902482 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-29024822010-07-13 A team-based approach to warfarin management in long term care: A feasibility study of the MEDeINR electronic decision support system Papaioannou, Alexandra Kennedy, Courtney C Campbell, Glenda Stroud, Jacqueline B Wang, Luqi Dolovich, Lisa Crowther, Mark A BMC Geriatr Research article BACKGROUND: Previous studies in long-term care (LTC) have demonstrated that warfarin management is suboptimal with preventable adverse events often occurring as a result of poor International Normalized Ratio (INR) control. To assist LTC teams with the challenge of maintaining residents on warfarin in the therapeutic range (INR of 2.0 to 3.0), we developed an electronic decision support system that was based on a validated algorithm for warfarin dosing. We evaluated the MEDeINR system in a pre-post implementation design by examining the impact on INR control, testing frequency, and experiences of staff in using the system. METHODS: For this feasibility study, we piloted the MEDeINR system in six LTC homes in Ontario, Canada. All128 residents (without a prosthetic valve) who were taking warfarin were included. Three-months of INR data prior to MEDeINR was collected via a retrospective chart audit, and three-months of INR data after implementation of MEDeINR was captured in the central computer database. The primary outcomes compared in a pre-post design were time in therapeutic range (TTR) and time in sub/supratherapeutic ranges based on all INR measures for every resident on warfarin. Secondary measures included the number of monthly INR tests/resident and survey/focus-group feedback from the LTC teams. RESULTS: LTC homes in our study had TTR's that were higher than past reports prior to the intervention. Overall, the TTR increased during the MEDeINR phase (65 to 69%), but was only significantly increased for one home (62% to 71%, p < 0.05). The percentage of time in supratherapeutic decreased from 14% to 11%, p = 0.08); there was little change for the subtherapeutic range (21% to 20%, p = 0.66). Overall, the average number of INR tests/30 days decreased from 4.2 to 3.1 (p < 0.0001) per resident after implementation of MEDeINR. Feedback received from LTC clinicians and staff was that the program decreased the work-load, improved confidence in management and decisions, and was generally easy to use. CONCLUSION: Although LTC homes in our sample had TTR's that were relatively high prior to the intervention, the MEDeINR program represented a useful tool to promote optimal TTR, decrease INR venipunctures, streamline processes, and increase nurse and physician confidence around warfarin management. We have demonstrated that MEDeINR was a practical, usable clinical information system that can be incorporated into the LTC environment. BioMed Central 2010-06-10 /pmc/articles/PMC2902482/ /pubmed/20537178 http://dx.doi.org/10.1186/1471-2318-10-38 Text en Copyright ©2010 Papaioannou et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research article Papaioannou, Alexandra Kennedy, Courtney C Campbell, Glenda Stroud, Jacqueline B Wang, Luqi Dolovich, Lisa Crowther, Mark A A team-based approach to warfarin management in long term care: A feasibility study of the MEDeINR electronic decision support system |
title | A team-based approach to warfarin management in long term care: A feasibility study of the MEDeINR electronic decision support system |
title_full | A team-based approach to warfarin management in long term care: A feasibility study of the MEDeINR electronic decision support system |
title_fullStr | A team-based approach to warfarin management in long term care: A feasibility study of the MEDeINR electronic decision support system |
title_full_unstemmed | A team-based approach to warfarin management in long term care: A feasibility study of the MEDeINR electronic decision support system |
title_short | A team-based approach to warfarin management in long term care: A feasibility study of the MEDeINR electronic decision support system |
title_sort | team-based approach to warfarin management in long term care: a feasibility study of the medeinr electronic decision support system |
topic | Research article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2902482/ https://www.ncbi.nlm.nih.gov/pubmed/20537178 http://dx.doi.org/10.1186/1471-2318-10-38 |
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