Literature DB >> 19917945

Factors that determine satisfaction with surgical treatment of low-income women with breast cancer.

Amardeep Thind1, Allison Diamant, Yihang Liu, Rose Maly.   

Abstract

OBJECTIVE: To analyze the relationship between patient satisfaction with surgical treatment and 4 consultation skills and processes of the surgeons (time spent, listens carefully, explains concepts in a way the patient can understand, and shows respect for what the patient has to say), controlling for a range of patient, surgeon, and treatment characteristics.
DESIGN: Cross-sectional survey.
SETTING: The Breast and Cervical Cancer Treatment Program for the state of California. PATIENTS: A statewide sample of 789 low-income women who received treatment for breast cancer from February 1, 2003, through September 31, 2005. MAIN OUTCOME MEASURE: Satisfaction with surgical treatment.
RESULTS: Three of every 4 women reported being extremely satisfied with the treatment they received from their surgeon. African American women and those with arm swelling were less likely to be satisfied, whereas those reporting that the surgeon always spent enough time and explained concepts in a way they could understand were more likely to report greater satisfaction.
CONCLUSION: Our findings highlight the importance of 2 relatively simple behaviors that surgeons can easily implement to increase patient satisfaction, which can be of potential benefit in the litigious world of today.

Entities:  

Mesh:

Year:  2009        PMID: 19917945      PMCID: PMC3228842          DOI: 10.1001/archsurg.2009.190

Source DB:  PubMed          Journal:  Arch Surg        ISSN: 0004-0010


  31 in total

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5.  Factors influencing a woman's choice to undergo breast-conserving surgery versus modified radical mastectomy.

Authors:  R J Nold; R L Beamer; S D Helmer; M F McBoyle
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6.  Treatment decision making in early-stage breast cancer: should surgeons match patients' desired level of involvement?

Authors:  Nancy L Keating; Edward Guadagnoli; Mary Beth Landrum; Catherine Borbas; Jane C Weeks
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7.  Predictors of long-term outcomes in older breast cancer survivors: perceptions versus patterns of care.

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Journal:  J Clin Oncol       Date:  2003-03-01       Impact factor: 44.544

8.  Changing trends in the decision-making preferences of women with early breast cancer.

Authors:  L J M Caldon; S J Walters; M W R Reed
Journal:  Br J Surg       Date:  2008-03       Impact factor: 6.939

9.  Racial/ethnic differences in adequacy of information and support for women with breast cancer.

Authors:  Nancy K Janz; Mahasin S Mujahid; Sarah T Hawley; Jennifer J Griggs; Ann S Hamilton; Steven J Katz
Journal:  Cancer       Date:  2008-09-01       Impact factor: 6.860

10.  Association of clinical experiences with patient-reported outcomes among breast cancer surgery patients: breast cancer quality care study.

Authors:  Dong Young Noh; Seok Jin Nam; Se Hyun Ahn; Byeong Woo Park; Eun Sook Lee; Myung Kyung Lee; Soo Hyun Kim; Yoo Min Kim; Sang Min Park; Young Ho Yun
Journal:  Qual Life Res       Date:  2007-12-18       Impact factor: 4.147

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  8 in total

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2.  Cross-cultural validation of a Patient Satisfaction with Interpersonal Relationship with Navigator measure: a multi-site patient navigation research study.

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5.  Quality of life over 5 years after a breast cancer diagnosis among low-income women: effects of race/ethnicity and patient-physician communication.

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6.  Development and validation of the functional assessment of chronic illness therapy treatment satisfaction (FACIT TS) measures.

Authors:  John D Peipert; Jennifer L Beaumont; Rita Bode; Dave Cella; Sofia F Garcia; Elizabeth A Hahn
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7.  Satisfaction with cancer care among underserved racial-ethnic minorities and lower-income patients receiving patient navigation.

Authors:  Pascal Jean-Pierre; Ying Cheng; Kristen J Wells; Karen M Freund; Frederick R Snyder; Kevin Fiscella; Alan E Holden; Electra D Paskett; Donald J Dudley; Melissa A Simon; Patricia A Valverde
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8.  Patient Satisfaction with Navigator Interpersonal Relationship (PSN-I): item-level psychometrics using IRT analysis.

Authors:  Pascal Jean-Pierre; Can Shao; Ying Cheng; Kristen J Wells; Electra Paskett; Kevin Fiscella
Journal:  Support Care Cancer       Date:  2019-05-10       Impact factor: 3.603

  8 in total

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