{"title":"Evaluation of a Question Prompt List on Treatment Decision-making Outcomes in Women Following Surgery for Breast Cancer: A Randomized Controlled Trial","authors":"R. Negarandeh, Z. Yazdani, R. Lehto, M. Lashkari","doi":"10.5812/ijcm-131091","DOIUrl":null,"url":null,"abstract":"Background: With advances in healthcare options for the medical management of breast cancer, treatment decision-making has become more complex. Objectives: Guided by self-efficacy theory, the study investigated the impact of a question prompt list (QPL) on decision-making outcomes among women with breast cancer in Iran who were post-surgery. Methods: A randomized controlled trial was conducted at a comprehensive cancer center in Tehran, Iran. Fifty patients were randomized to either a QPL with usual care (n = 25) or to a usual care (n = 25) condition. Data were collected pre- and post-treatment utilizing: 9-item Shared Decision-Making Questionnaire; Decision Self-efficacy Scale; and the Control Preferences Scale. Utilizing SPSS 26 software, descriptive, Shapiro-Wilk test, independent t-test, Fisher's Exact test, and Mann-Whitney U test were used. Results: No differences between the usual care and QPL groups on major study constructs were found (P > 0.05). Conclusions: The QPL did not impact various decision-making outcomes among women with breast cancer post-surgery. Cross-cultural research is needed with larger samples to further examine the impact of decision aids such as QPL on decision-making outcomes for women with breast cancer.","PeriodicalId":44764,"journal":{"name":"International Journal of Cancer Management","volume":"31 1","pages":""},"PeriodicalIF":0.4000,"publicationDate":"2023-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Cancer Management","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5812/ijcm-131091","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ONCOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Background: With advances in healthcare options for the medical management of breast cancer, treatment decision-making has become more complex. Objectives: Guided by self-efficacy theory, the study investigated the impact of a question prompt list (QPL) on decision-making outcomes among women with breast cancer in Iran who were post-surgery. Methods: A randomized controlled trial was conducted at a comprehensive cancer center in Tehran, Iran. Fifty patients were randomized to either a QPL with usual care (n = 25) or to a usual care (n = 25) condition. Data were collected pre- and post-treatment utilizing: 9-item Shared Decision-Making Questionnaire; Decision Self-efficacy Scale; and the Control Preferences Scale. Utilizing SPSS 26 software, descriptive, Shapiro-Wilk test, independent t-test, Fisher's Exact test, and Mann-Whitney U test were used. Results: No differences between the usual care and QPL groups on major study constructs were found (P > 0.05). Conclusions: The QPL did not impact various decision-making outcomes among women with breast cancer post-surgery. Cross-cultural research is needed with larger samples to further examine the impact of decision aids such as QPL on decision-making outcomes for women with breast cancer.
期刊介绍:
International Journal of Cancer Management (IJCM) publishes peer-reviewed original studies and reviews on cancer etiology, epidemiology and risk factors, novel approach to cancer management including prevention, diagnosis, surgery, radiotherapy, medical oncology, and issues regarding cancer survivorship and palliative care. The scope spans the spectrum of cancer research from the laboratory to the clinic, with special emphasis on translational cancer research that bridge the laboratory and clinic. We also consider original case reports that expand clinical cancer knowledge and convey important best practice messages.