Literature DB >> 11829042

The influence of patients' concerns on surgeons' recommendations for early breast cancer.

Z H Wu1, J L Freeman, A L Greer, D H Freeman, J S Goodman.   

Abstract

This paper examines whether an older patient's concerns about surgical treatment of breast cancer--such as fear of dying or about losing a breast--affect the treatment recommendations by their surgeons. A sample of 137 older women diagnosed with early stage breast cancer between 1994 and 1996 were interviewed within 2 months of diagnosis to determine demographic characteristics, their attitudes about breast cancer treatments, and which surgical treatment their surgeon initially recommended. The treatment preferences of the 35 surgeons treating these women were ascertained by asking them what treatment they would usually recommend to a hypothetical 75-year-old woman with early stage breast cancer. Patients who reported their feelings about losing a breast as 'very important' were less likely to be recommended mastectomy (Odds Ratio (OR) = 0.39; 95% (Confidence Interval) CI 0.16, 0.94), while patients who reported fear of dying from breast cancer as 'very important' were more likely to be recommended mastectomy (OR = 4.60; 95% CI 1.94, 11.59), after adjusting for surgeons' age and the surgeons' treatment preference when presented with a hypothetical patient. It is concluded that surgeons integrate patients' attitudes and concerns into their treatment recommendations.

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Year:  2001        PMID: 11829042     DOI: 10.1046/j.1365-2354.2001.00255.x

Source DB:  PubMed          Journal:  Eur J Cancer Care (Engl)        ISSN: 0961-5423            Impact factor:   2.520


  4 in total

Review 1.  Non-clinical influences on clinical decision-making: a major challenge to evidence-based practice.

Authors:  F M Hajjaj; M S Salek; M K A Basra; A Y Finlay
Journal:  J R Soc Med       Date:  2010-05       Impact factor: 5.344

2.  Understanding surgery choices for breast cancer: how might the Theory of Planned Behaviour and the Common Sense Model contribute to decision support interventions?

Authors:  Stephanie Sivell; Adrian Edwards; Glyn Elwyn; Antony S R Manstead
Journal:  Health Expect       Date:  2011-03       Impact factor: 3.377

3.  Decision making with uncertain information: learning from women in a high risk breast cancer clinic.

Authors:  Caren J Frost; Vickie Venne; Dianne Cunningham; Ruth Gerritsen-McKane
Journal:  J Genet Couns       Date:  2004-06       Impact factor: 2.537

4.  Development of instruments to measure the quality of breast cancer treatment decisions.

Authors:  Clara N Lee; Rosalie Dominik; Carrie A Levin; Michael J Barry; Carol Cosenza; Annette M O'Connor; Albert G Mulley; Karen R Sepucha
Journal:  Health Expect       Date:  2010-06-09       Impact factor: 3.377

  4 in total

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