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Impact of Clinical Decision Support on Radiography for Acute Ankle Injuries: A Randomized Trial
INTRODUCTION: While only 15–20% of patients with foot and ankle injuries presenting to urgent care centers have clinically significant fractures, most undergo radiography. We examined the impact of electronic point-of-care clinical decision support (CDS) on adherence to the Ottawa Ankle Rules (OAR),...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Department of Emergency Medicine, University of California, Irvine School of Medicine
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5391900/ https://www.ncbi.nlm.nih.gov/pubmed/28435501 http://dx.doi.org/10.5811/westjem.2017.1.33053 |
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author | Tajmir, Shahein Raja, Ali S. Ip, Ivan K. Andruchow, James Silveira, Patricia Smith, Stacy Khorasani, Ramin |
author_facet | Tajmir, Shahein Raja, Ali S. Ip, Ivan K. Andruchow, James Silveira, Patricia Smith, Stacy Khorasani, Ramin |
author_sort | Tajmir, Shahein |
collection | PubMed |
description | INTRODUCTION: While only 15–20% of patients with foot and ankle injuries presenting to urgent care centers have clinically significant fractures, most undergo radiography. We examined the impact of electronic point-of-care clinical decision support (CDS) on adherence to the Ottawa Ankle Rules (OAR), as well as use and yield of foot and ankle radiographs in patients with acute ankle injury. METHODS: We obtained institutional review board approval for this randomized controlled study performed April 18, 2012—December 15, 2013. All ordering providers credentialed at an urgent care affiliated with a quaternary care academic hospital were randomized to either receive or not receive CDS, based on the OAR and integrated into the physician order-entry system, with feedback at the time of imaging order. If the patient met OAR low-risk criteria, providers were advised against imaging and could either cancel the order or ignore the alert. We identified patients with foot and ankle complaints via ICD-9 billing codes and electronic health records and radiology reports reviewed for those who were eligible. Chi-square was used to compare adherence to the OAR (primary outcome), radiography utilization rate and radiography yield of foot and ankle imaging (secondary outcomes) between the intervention and control groups. RESULTS: Of 14,642 patients seen at urgent care during the study period, 613 (4.2%, representing 632 visits) presented with acute ankle injury and were eligible for application of the OAR; 374 (59.2%) of these were seen by control-group providers. In the intervention group, CDS adherence was higher for both ankle (239/258=92.6% vs. 231/374=61.8%, p=0.02) and foot radiography (209/258=81.0% vs. 238/374=63.6%; p<0.01). However, ankle radiography use was higher in the intervention group (166/258=64.3% vs. 183/374=48.9%; p<0.01), while foot radiography use (141/258=54.6% vs. 202/374=54.0%; p=0.95) was not. Radiography yield was also higher in the intervention group (26/307=8.5% vs. 18/385=4.7%; p=0.04). CONCLUSION: Clinical decision support, previously demonstrated to improve guideline adherence for high-cost imaging, can also improve guideline adherence for radiography – as demonstrated by increased OAR adherence and increased imaging yield. |
format | Online Article Text |
id | pubmed-5391900 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Department of Emergency Medicine, University of California, Irvine School of Medicine |
record_format | MEDLINE/PubMed |
spelling | pubmed-53919002017-04-21 Impact of Clinical Decision Support on Radiography for Acute Ankle Injuries: A Randomized Trial Tajmir, Shahein Raja, Ali S. Ip, Ivan K. Andruchow, James Silveira, Patricia Smith, Stacy Khorasani, Ramin West J Emerg Med Technology in Emergency Medicine INTRODUCTION: While only 15–20% of patients with foot and ankle injuries presenting to urgent care centers have clinically significant fractures, most undergo radiography. We examined the impact of electronic point-of-care clinical decision support (CDS) on adherence to the Ottawa Ankle Rules (OAR), as well as use and yield of foot and ankle radiographs in patients with acute ankle injury. METHODS: We obtained institutional review board approval for this randomized controlled study performed April 18, 2012—December 15, 2013. All ordering providers credentialed at an urgent care affiliated with a quaternary care academic hospital were randomized to either receive or not receive CDS, based on the OAR and integrated into the physician order-entry system, with feedback at the time of imaging order. If the patient met OAR low-risk criteria, providers were advised against imaging and could either cancel the order or ignore the alert. We identified patients with foot and ankle complaints via ICD-9 billing codes and electronic health records and radiology reports reviewed for those who were eligible. Chi-square was used to compare adherence to the OAR (primary outcome), radiography utilization rate and radiography yield of foot and ankle imaging (secondary outcomes) between the intervention and control groups. RESULTS: Of 14,642 patients seen at urgent care during the study period, 613 (4.2%, representing 632 visits) presented with acute ankle injury and were eligible for application of the OAR; 374 (59.2%) of these were seen by control-group providers. In the intervention group, CDS adherence was higher for both ankle (239/258=92.6% vs. 231/374=61.8%, p=0.02) and foot radiography (209/258=81.0% vs. 238/374=63.6%; p<0.01). However, ankle radiography use was higher in the intervention group (166/258=64.3% vs. 183/374=48.9%; p<0.01), while foot radiography use (141/258=54.6% vs. 202/374=54.0%; p=0.95) was not. Radiography yield was also higher in the intervention group (26/307=8.5% vs. 18/385=4.7%; p=0.04). CONCLUSION: Clinical decision support, previously demonstrated to improve guideline adherence for high-cost imaging, can also improve guideline adherence for radiography – as demonstrated by increased OAR adherence and increased imaging yield. Department of Emergency Medicine, University of California, Irvine School of Medicine 2017-04 2017-03-07 /pmc/articles/PMC5391900/ /pubmed/28435501 http://dx.doi.org/10.5811/westjem.2017.1.33053 Text en Copyright: © 2017 Tajmir et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed in accordance with the terms of the Creative Commons Attribution (CC BY 4.0) License. See: http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Technology in Emergency Medicine Tajmir, Shahein Raja, Ali S. Ip, Ivan K. Andruchow, James Silveira, Patricia Smith, Stacy Khorasani, Ramin Impact of Clinical Decision Support on Radiography for Acute Ankle Injuries: A Randomized Trial |
title | Impact of Clinical Decision Support on Radiography for Acute Ankle Injuries: A Randomized Trial |
title_full | Impact of Clinical Decision Support on Radiography for Acute Ankle Injuries: A Randomized Trial |
title_fullStr | Impact of Clinical Decision Support on Radiography for Acute Ankle Injuries: A Randomized Trial |
title_full_unstemmed | Impact of Clinical Decision Support on Radiography for Acute Ankle Injuries: A Randomized Trial |
title_short | Impact of Clinical Decision Support on Radiography for Acute Ankle Injuries: A Randomized Trial |
title_sort | impact of clinical decision support on radiography for acute ankle injuries: a randomized trial |
topic | Technology in Emergency Medicine |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5391900/ https://www.ncbi.nlm.nih.gov/pubmed/28435501 http://dx.doi.org/10.5811/westjem.2017.1.33053 |
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