Address correspondence to Paula M. Lantz, Ph.D., 109 Observatory, Department of Health Management and Policy, University of Michigan School of Public Health, Ann Arbor, MI, 48109-2029. Nancy K. Janz, Ph.D., is with the Department of Health Behavior and Health Education, University of Michigan School of Public Health. Angela Fagerlin, Ph.D., and Steven J. Katz, M.D., M.P.H., are with the Department of Internal Medicine, University of Michigan, and the Veterans Affairs Ann Arbor Healthcare System. Kendra Schwartz, M.D., M.S.P.H., is with the Department of Family Medicine and Karmanos Cancer Institute at Wayne State University. Lihua Liu, Ph.D., is with the Department of Epidemiology at the University of Southern California. Indu Lakhani, M.S., and Barbara Salem, M.S.W., are with the Department of Internal Medicine at the University of Michigan.
Satisfaction with Surgery Outcomes and the Decision Process in a Population-Based Sample of Women with Breast Cancer
Article first published online: 24 MAY 2005
Health Services Research
Volume 40, Issue 3, pages 745–768, June 2005
How to Cite
Lantz, P. M., Janz, N. K., Fagerlin, A., Schwartz, K., Liu, L., Lakhani, I., Salem, B. and Katz, S. J. (2005), Satisfaction with Surgery Outcomes and the Decision Process in a Population-Based Sample of Women with Breast Cancer. Health Services Research, 40: 745–768. doi: 10.1111/j.1475-6773.2005.00383.x
- Issue published online: 24 MAY 2005
- Article first published online: 24 MAY 2005
- Breast cancer;
- breast conserving surgery;
- shared decision making;
- patient satisfaction
Objective. To better understand medical decision making in the context of “preference sensitive care,” we investigated factors associated with breast cancer patients' satisfaction with the type of surgery received and with the decision process.
Data Sources/Data Collection. For a population-based sample of recently diagnosed breast cancer patients in the Detroit and Los Angeles metropolitan areas (N=1,633), demographic and clinical data were obtained from the Surveillance, Epidemiology, and End Results tumor registry, and self-reported psychosocial and satisfaction data were obtained through a mailed survey (78.4 percent response rate).
Study Design. Cross-sectional design in which multivariable logistic regression was used to identify sociodemographic and clinical factors associated with three satisfaction measures: low satisfaction with surgery type, low satisfaction with the decision process, and decision regret.
Principal Findings. Overall, there were high levels of satisfaction with both surgery and the decision process, and low rates of decision regret. Ethnic minority women and those with low incomes were more likely to have low satisfaction or decision regret. In addition, the match between patient preferences regarding decision involvement and their actual level of involvement was a strong indicator of satisfaction and decision regret/ambivalence. While having less involvement than preferred was a significant indicator of low satisfaction and regret, having more involvement than preferred was also a risk factor. Women who received mastectomy without reconstruction were more likely to report low satisfaction with surgery (odds ratio [OR]=1.54, p<.05), low satisfaction with the process (OR=1.37, p<.05), and decision regret (OR=1.55, p<.05) compared with those receiving breast conserving surgery (BCS). An additional finding was that as patients' level of involvement in the decision process increased, the rate of mastectomy also increased (p<.001).
Conclusions. A significant proportion of breast cancer patients experience a decision process that matches their preferences for participation, and report satisfaction with both the process and the outcome. However, women who report more involvement in the decision process are significantly less likely to receive a lumpectomy. Thus, increasing patient involvement in the decision process will not necessarily increase use of BCS or lead to greater satisfaction. The most salient aspect for satisfaction with the decision making process is the match between patients' preferences and experiences regarding participation.