Spots Global Cancer Trial Database for Factors and Perceptions Affecting Treatment Choices of Breast Cancer Patients

Study Description

Brief Summary: A Multi-center Cross-sectional quantitative study with a preliminary qualitative study part aiming to identify and analyze demand factors, supply factors and perceptions affecting Breast Cancer patients' treatment choices of Breast Cancer patients in 5 key decision points: participation role in the decision making process, hospital choice, treatment regimen choice, surgical extent and surgeon choice. 25 patients and caregivers will participate in the qualitative part and 425 Israeli Breast Cancer patients will participate in the quantitative study.

Detailed Description: Background: Breast Cancer (BC) is the most common cancer in women worldwide. Newly diagnosed BC patients are asked to participate in a number of treatment related decisions. No research has systematically studied the full decision sequence in a disease such as BC, analyzing demand factors, supply factors and patient perceptions. Study goal: Identify and analyze demand factors, supply factors and perceptions affecting BC patients' treatment choices, and model the demand function of BC patients in 5 key decision points: participation role in the decision making process, hospital choice, treatment regimen choice, surgical extent and surgeon choice. Study hypothesis: Patient perceptions will have at least as much impact as demand and supply factors. Study design: Two stage study. A preliminary qualitative study, holding depth interviews with 20 breast cancer patients, 2 spouses and 3 staff members is taking place these days. The qualitative study findings will be used to develop a survey questionnaire for a cross sectional quantitative study, interviewing a quota sample of 425 breast cancer survivors, diagnosed up to 5 years prior to joining the study, who have successfully completed all radiation therapy and chemotherapy. Data analysis: Qualitative data will be analyzed according to the Criteria Bases Qualitative Methodology. Quantitative data will be analyzed by two-variable statistical analysis and multi-variable statistical analysis adjusted to the nature of the dependent and independent variables. Possible policy recommendations: Forming consulting teams for cancer patients. Improving medical information communication. Focusing patients on the key decisions they face. Evaluating patient needs using demand factors, supply factors and perceptions to create systemic tools helping them face treatment decisions.

Keywords

Eligibility

Minimum Age: 30 Years

Eligible Ages: ADULT, OLDER_ADULT

Sex: FEMALE

Healthy Volunteers: Yes

Locations

Contact Details

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