| Title |
Acute coronary syndrome patients admitted to a cardiology vs non-cardiology service: variations in treatment & outcome
|
|---|---|
| Published in |
BMC Health Services Research, May 2017
|
| DOI | 10.1186/s12913-017-2294-0 |
| Pubmed ID | |
| Authors |
Deirdre E. O’Neill, Danielle A. Southern, Colleen M. Norris, Blair J. O’Neill, Helen J. Curran, Michelle M. Graham |
| Abstract |
Specialized cardiology services have contributed to reduced mortality in acute coronary syndromes (ACS). We sought to evaluate the outcomes of ACS patients admitted to non-cardiology services in Southern Alberta. Retrospective chart review performed on all troponin-positive patients in the Calgary Health Region identified those diagnosed with ACS by their attending team. Patients admitted to non-cardiology and cardiology services were compared, using linked data from the Alberta Provincial Project for Outcomes Assessment in Coronary Heart Disease (APPROACH) registry and the Strategic Clinical Network for Cardiovascular Health and Stroke. From January 1, 2007 to December 31, 2008, 2105 ACS patients were identified, with 1636 (77.7%) admitted to cardiology and 469 (22.3%) to non-cardiology services. Patients admitted to non-cardiology services were older, had more comorbidities, and rarely received cardiology consultation (5.1%). Cardiac catheterization was underutilized (5.1% vs 86.4% in cardiology patients (p < 0.0001)), as was evidence-based pharmacotherapy (p < 0.0001). Following adjustment for baseline comorbidities, 30-day through 4-year mortality was significantly higher on non-cardiology vs. cardiology services (49.1% vs. 11.0% respectively at 4-years, p < 0.0001). In a large ACS population in the Calgary Health Region, 25% were admitted to non-cardiology services. These patients had worse outcomes, despite adjustment for baseline risk factor differences. Although many patients were appropriately admitted to non-cardiology services, the low use of investigations and secondary prevention medications may contribute to poorer patient outcome. Further research is required to identify process of care strategies to improve outcomes and lessen the burden of illness for patients and the health care system. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Venezuela, Bolivarian Republic of | 1 | 33% |
| United Kingdom | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 33% |
| Members of the public | 1 | 33% |
| Practitioners (doctors, other healthcare professionals) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 32 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 6 | 19% |
| Professor > Associate Professor | 3 | 9% |
| Student > Bachelor | 2 | 6% |
| Researcher | 2 | 6% |
| Professor | 1 | 3% |
| Other | 3 | 9% |
| Unknown | 15 | 47% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 6 | 19% |
| Psychology | 3 | 9% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 6% |
| Nursing and Health Professions | 2 | 6% |
| Business, Management and Accounting | 2 | 6% |
| Other | 2 | 6% |
| Unknown | 15 | 47% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 18 May 2017.
All research outputs
#15,424,842
of 23,881,329 outputs
Outputs from BMC Health Services Research
#5,562
of 7,949 outputs
Outputs of similar age
#186,129
of 312,553 outputs
Outputs of similar age from BMC Health Services Research
#98
of 139 outputs
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