Title |
ICare-ACS (Improving Care Processes for Patients With Suspected Acute Coronary Syndrome)
|
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Published in |
Circulation, November 2017
|
DOI | 10.1161/circulationaha.117.031984 |
Pubmed ID | |
Authors |
Martin P. Than, John W. Pickering, Jeremy M. Dryden, Sally J. Lord, S. Andrew Aitken, Sally J. Aldous, Kate E. Allan, Michael W. Ardagh, John W.N. Bonning, Rosie Callender, Laura R.E. Chapman, Jonathan P. Christiansen, Andre P.J. Cromhout, Louise Cullen, Joanne M. Deely, Gerard P. Devlin, Katherine A. Ferrier, Christopher M. Florkowski, Christopher M.A. Frampton, Peter M. George, Gregory J. Hamilton, Allan S. Jaffe, Andrew J. Kerr, G. Luke Larkin, Richard M. Makower, Timothy J.E. Matthews, William A. Parsonage, W. Frank Peacock, Bradley F. Peckler, Niels C. van Pelt, Louise Poynton, A. Mark Richards, Anthony G. Scott, Mark B. Simmonds, David Smyth, Oliver P. Thomas, Andrew C.Y. To, Stephen A. Du Toit, Richard W. Troughton, Kim M. Yates |
Abstract |
BACKGROUND : Efforts to safely reduce length of stay for emergency department patients with symptoms suggestive of acute coronary syndrome (ACS) have had mixed success. Few system-wide efforts affecting multiple hospital emergency departments have ever been evaluated. We evaluated the effectiveness of a nationwide implementation of clinical pathways for potential ACS in disparate hospitals. METHODS : This was a multicenter pragmatic stepped-wedge before-and-after trial in 7 New Zealand acute care hospitals with 31 332 patients investigated for suspected ACS with serial troponin measurements. The implementation was a clinical pathway for the assessment of patients with suspected ACS that included a clinical pathway document in paper or electronic format, structured risk stratification, specified time points for electrocardiographic and serial troponin testing within 3 hours of arrival, and directions for combining risk stratification and electrocardiographic and troponin testing in an accelerated diagnostic protocol. Implementation was monitored for >4 months and compared with usual care over the preceding 6 months. The main outcome measure was the odds of discharge within 6 hours of presentation. RESULTS : There were 11 529 participants in the preimplementation phase (range, 284-3465) and 19 803 in the postimplementation phase (range, 395-5039). Overall, the mean 6-hour discharge rate increased from 8.3% (range, 2.7%-37.7%) to 18.4% (6.8%-43.8%). The odds of being discharged within 6 hours increased after clinical pathway implementation. The odds ratio was 2.4 (95% confidence interval, 2.3-2.6). In patients without ACS, the median length of hospital stays decreased by 2.9 hours (95% confidence interval, 2.4-3.4). For patients discharged within 6 hours, there was no change in 30-day major adverse cardiac event rates (0.52% versus 0.44%; P=0.96). In these patients, no adverse event occurred when clinical pathways were correctly followed. CONCLUSIONS : Implementation of clinical pathways for suspected ACS reduced the length of stay and increased the proportions of patients safely discharged within 6 hours. CLINICAL TRIAL REGISTRATION : URL: https://www.anzctr.org.au/ (Australian and New Zealand Clinical Trials Registry). Unique identifier: ACTRN12617000381381. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 10 | 32% |
United Kingdom | 6 | 19% |
Australia | 2 | 6% |
New Zealand | 2 | 6% |
Ireland | 1 | 3% |
Canada | 1 | 3% |
Spain | 1 | 3% |
Venezuela, Bolivarian Republic of | 1 | 3% |
Unknown | 7 | 23% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 14 | 45% |
Scientists | 8 | 26% |
Practitioners (doctors, other healthcare professionals) | 6 | 19% |
Science communicators (journalists, bloggers, editors) | 3 | 10% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 82 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 10 | 12% |
Student > Master | 10 | 12% |
Student > Postgraduate | 7 | 9% |
Student > Bachelor | 7 | 9% |
Other | 6 | 7% |
Other | 17 | 21% |
Unknown | 25 | 30% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 27 | 33% |
Nursing and Health Professions | 7 | 9% |
Pharmacology, Toxicology and Pharmaceutical Science | 2 | 2% |
Agricultural and Biological Sciences | 2 | 2% |
Engineering | 2 | 2% |
Other | 7 | 9% |
Unknown | 35 | 43% |