| Literature DB >> 21210902 |
John Eaton1, Darcy Reed, Kurt B Angstman, Kris Thomas, Frederick North, Robert Stroebel, Sidna M Tulledge-Scheitel, Rajeev Chaudhry.
Abstract
RATIONALE, AIMS ANDEntities:
Mesh:
Year: 2011 PMID: 21210902 PMCID: PMC3399088 DOI: 10.1111/j.1365-2753.2010.01625.x
Source DB: PubMed Journal: J Eval Clin Pract ISSN: 1356-1294 Impact factor: 2.431
Effects of appointment type and provider role or gender on ordering rates of abdominal aortic aneurysm screening in a primary care internal medicine clinic
| Logistic regression analysis | ||||
|---|---|---|---|---|
| Univariate | Multivariate | |||
| Variable | OR (95% CI) | OR (95% CI) | ||
| Appointment type (general medical exam vs. other exam) | 4.5 (2.5–8.4) | <0.0001 | 4.5 (2.5–8.4) | <0.0001 |
| Provider gender (male vs. female) | 1.1 (0.4–1.8) | 0.69 | 0.8 (0.4–1.8) | 0.59 |
| Provider type (staff physician vs. other) | 1.7 (0.8–3.8) | 0.15 | 1.6 (0.7–3.7) | 0.26 |
CI, confidence interval; OR, odds ratio.
Primary care internal medicine clinic providers' perceptions and knowledge regarding abdominal aortic aneurysm (AAA) screening guidelines and practices*
| Question | Possible response | % response |
|---|---|---|
| 1. Familiarity with US Preventive Services Task Force AAA screening guidelines | Very | 19.3 |
| Somewhat | 46.8 | |
| Not | 33.9 | |
| 2. Identify correct frequency of AAA screening | Once in a lifetime | 65.1 |
| 3. Identify correct specific AAA screening criteria | Men | 86.7 |
| Current smokers | 74.3 | |
| Former smokers | 79.0 | |
| Age 65 to 75 years | 58.1 | |
| 4. Estimate what percentage of your eligible patients have undergone the recommended AAA screening | <25 | 34.6 |
| 25 to 49 | 22.4 | |
| 50 to 75 | 23.4 | |
| >75 | 5.6 | |
| Not applicable | 14.0 | |
| 5. Estimate what percentage of eligible patients in the primary care internal medicine clinic have undergone the recommended AAA screening | <25 | 49.1 |
| 25 to 49 | 38.2 | |
| 50 to 75 | 12.7 | |
| >75 | 0.0 | |
| 6. Identify factors that may contribute to poor AAA screening ordering practices in the primary care internal medicine clinic | Lack of provider knowledge | 64.2 |
| Lack of patient knowledge | 45.3 | |
| Forgot to order | 48.1 | |
| Physician-dependent ordering system | 41.5 | |
| 7. Do you believe a nurse-driven ordering protocol would improve AAA screening ordering rates? | Yes | 70.6 |
| Unsure | 20.2 | |
| No | 9.2 |
A total of 109 respondents: residents, 42.2%; nurses, 30.3%; staff, 22.0%; midlevel providers, 2.8%; not applicable, 2.7%.