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Norris C, Murray J, Hegadoren K. 193 Poster can Sex Differences in HRQOL Outcomes be Attributed to Gender Roles. Eur J Cardiovasc Nurs 2010. [DOI: 10.1016/s1474-5151(10)60152-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Affiliation(s)
- C. Norris
- University of Alberta, Edmonton, Canada
| | - J. Murray
- University of Alberta, Edmonton, Canada
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Norris CM, Ghali WA, Galbraith PD, Graham MM, Jensen LA, Knudtson ML. Women with coronary artery disease report worse health-related quality of life outcomes compared to men. Health Qual Life Outcomes 2004; 2:21. [PMID: 15128455 PMCID: PMC420257 DOI: 10.1186/1477-7525-2-21] [Citation(s) in RCA: 91] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2004] [Accepted: 05/05/2004] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Although there have been substantial medical advances that improve the outcomes following cardiac ischemic events, gender differences in the treatment and course of recovery for patients with coronary artery disease (CAD) continue to exist. There is a general paucity of data comparing the health related quality of life (HRQOL) in men and women undergoing treatment for CAD. The purpose of this study was to compare HRQOL outcomes of men and women in Alberta, at one-year following initial catheterization, after adjustment for known demographic, co-morbid, and disease severity predictors of outcome. METHOD The HRQOL outcome data were collected by means of a self-reported questionnaire mailed to patients on or near the one-year anniversary of their initial cardiac catheterization. Using the Seattle Angina Questionnaire (SAQ), 5 dimensions of HRQOL were measured: exertional capacity, anginal stability, anginal frequency, quality of life and treatment satisfaction. Data from the APPROACH registry were used to risk-adjust the SAQ scale scores. Two analytical strategies were used including general least squares linear modeling, and proportional odds modeling sometimes referred to as the "ordinal logistic modeling". RESULTS 3392 (78.1%) patients responded to the follow-up survey. The adjusted proportional odds ratios for men relative to women (PORs > 1 = better) indicated that men reported significantly better HRQOL on all 5 SAQ dimensions as compared to women. (PORs: Exertional Capacity 3.38 (2.75-4.15), Anginal Stability 1.23 (1.03-1.47), Anginal Frequency 1.70 (1.43-2.01), Treatment Satisfaction 1.27 (1.07-1.50), and QOL 1.74 (1.48-2.04). CONCLUSIONS Women with CAD consistently reported worse HRQOL at one year follow-up compared to men. These findings underline the fact that conclusions based on research performed on men with CAD may not be valid for women and that more gender-related research is needed. Future studies are needed to further examine gender differences in psychosocial adjustment following treatment for CAD, as adjustment for traditional clinical variables fails to explain sex differences in health related quality of life outcomes.
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Affiliation(s)
- Colleen M Norris
- Faculty of Nursing, 4-112G Clinical Sciences Building, University of Alberta, Edmonton, Alberta, T6G 2G3 Canada
- Department of Medicine, University of Alberta, Edmonton, Alberta, Canada
| | - William A Ghali
- Department of Medicine, University of Calgary, Calgary, Alberta, Canada
- Department of Community Health Sciences, University of Calgary, Calgary, Alberta, Canada
- Centre for Health and Policy Studies, University of Calgary, Calgary, Alberta, Canada
| | - P Diane Galbraith
- Department of Medicine, University of Calgary, Calgary, Alberta, Canada
- Centre for Health and Policy Studies, University of Calgary, Calgary, Alberta, Canada
| | - Michelle M Graham
- Department of Medicine, University of Alberta, Edmonton, Alberta, Canada
| | - Louise A Jensen
- Faculty of Nursing, 4-112G Clinical Sciences Building, University of Alberta, Edmonton, Alberta, T6G 2G3 Canada
| | - Merril L Knudtson
- Department of Medicine, University of Calgary, Calgary, Alberta, Canada
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Bow CJD, Waters NM, Faris PD, Seidel JE, Galbraith PD, Knudtson ML, Ghali WA. Accuracy of city postal code coordinates as a proxy for location of residence. Int J Health Geogr 2004; 3:5. [PMID: 15028120 PMCID: PMC394341 DOI: 10.1186/1476-072x-3-5] [Citation(s) in RCA: 63] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2003] [Accepted: 03/18/2004] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND: Health studies sometimes rely on postal code location as a proxy for the location of residence. This study compares the postal code location to that of the street address using a database from the Alberta Provincial Project for Outcome Assessment in Coronary Heart Disease (APPROACHCopyright ). Cardiac catheterization cases in an urban Canadian City were used for calendar year 1999. We determined location in meters for both the address (using the City of Calgary Street Network File in ArcView 3.2) and postal code location (using Statistic Canada's Postal Code Conversion File). RESULTS: The distance between the two estimates of location for each case were measured and it was found that 87.9% of the postal code locations were within 200 meters of the true address location (straight line distances) and 96.5% were within 500 meters of the address location (straight line distances). CONCLUSIONS: We conclude that postal code locations are a reasonably accurate proxy for address location. However, there may be research questions for which a more accurate description of location is required.
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Affiliation(s)
- C Jennifer D Bow
- Department of Geography, University of Calgary, 2500 University Drive NW, Calgary, AB, T2N 1N4, Canada
- Centre for Health and Policy Studies, Faculty of Medicine, Department of Community Health Sciences, University of Calgary, 3330 Hospital Drive NW, Calgary, AB, T2N 4N1, Canada
| | - Nigel M Waters
- Department of Geography, University of Calgary, 2500 University Drive NW, Calgary, AB, T2N 1N4, Canada
- Centre for Health and Policy Studies, Faculty of Medicine, Department of Community Health Sciences, University of Calgary, 3330 Hospital Drive NW, Calgary, AB, T2N 4N1, Canada
| | - Peter D Faris
- Centre for Health and Policy Studies, Faculty of Medicine, Department of Community Health Sciences, University of Calgary, 3330 Hospital Drive NW, Calgary, AB, T2N 4N1, Canada
| | - Judy E Seidel
- Department of Community Health Sciences, University of Calgary, 3330 Hospital Drive NW, Calgary, AB, T2N 4N1, Canada
- Centre for Health and Policy Studies, Faculty of Medicine, Department of Community Health Sciences, University of Calgary, 3330 Hospital Drive NW, Calgary, AB, T2N 4N1, Canada
| | - P Diane Galbraith
- Centre for Health and Policy Studies, Faculty of Medicine, Department of Community Health Sciences, University of Calgary, 3330 Hospital Drive NW, Calgary, AB, T2N 4N1, Canada
| | - Merril L Knudtson
- Department of Medicine, University of Calgary, 3330 Hospital Drive NW, Calgary, AB, T2N 4N1, Canada
- Centre for Health and Policy Studies, Faculty of Medicine, Department of Community Health Sciences, University of Calgary, 3330 Hospital Drive NW, Calgary, AB, T2N 4N1, Canada
| | - William A Ghali
- Department of Medicine, University of Calgary, 3330 Hospital Drive NW, Calgary, AB, T2N 4N1, Canada
- Department of Community Health Sciences, University of Calgary, 3330 Hospital Drive NW, Calgary, AB, T2N 4N1, Canada
- Centre for Health and Policy Studies, Faculty of Medicine, Department of Community Health Sciences, University of Calgary, 3330 Hospital Drive NW, Calgary, AB, T2N 4N1, Canada
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