James R Rodrigue, PH.D.
|Title||Associate Professor of Psychology in the Department of Psychiatry|
|Institution||Beth Israel Deaconess Medical Center|
|Address||Beth Israel Deaconess Medical Center|
Psychiatry, c/o The Transplant Center
110 Francis Street
Boston MA 02215
Available: 09/01/11, Expires: 08/29/14
The World Health Organization has stressed the importance of a patient’s subjective perception of life in the context of his or her value systems, goals, expectations, and standards when evaluating the benefits of medical or surgical intervention. Patient-centered assessments have the potential to facilitate provider-patient communication by helping patients prioritize their goals for surgery and make informed choices based on these priorities. In addition to promoting better healthcare communication, patient-centered assessments of current symptom distress and expectations for improvement may guide providers’ clinical decision-making both before and after surgery. However, very few studies have examined what constitutes a successful surgery or a clinically important improvement in functioning from the patient’s perspective.
The principal objective of the study will be to examine expectations and criteria for surgical success from the perspective of patients scheduled for surgery. The methodology for assessing patient-reported outcomes is well established. We have used it successfully to measure patients’ expectations and success criteria for liver transplantation (Rodrigue JR, Hanto DW, Curry MP. Liver Transplantation, in press http://www.ncbi.nlm.nih.gov/pubmed/21656656). Others have applied this methodology to assess patients’ success criteria for the treatment of chronic back pain and Parkinson’s disease.
The basic methodology can be applied to any surgical subspecialty. Patients awaiting surgery (specific type will depend on student's interest) will be administered the Patient-Centered Outcomes Questionnaire and a standardized measure of health-related quality of life.
Sociodemographic, medical and surgical data will be extracted from the participant’s medical record. Univariate and multivariate analyses will be conducted.
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