Spots Global Cancer Trial Database for Sharing Decision-making Program for HCC Patients Treatment Decisions

Study Description

Brief Summary: Aim: Explore the effectiveness of sharing decision-making program interventions in the early stage of HCC to reduce treatment decisions conflicts and improving decision-making satisfaction. Design: An experimental design will be used in the study. The 102 primary liver cancer patients, who were diagnosed with Barcelona stage(BCLC stage) 0-A, will be recruited and randomized to the control or intervention group. The intervention measures in this study "sharing decision-making plan" mainly includes sharing the decision-making talks and the decision-making assistance tools used in the process.

Detailed Description: The effectiveness of sharing decision-making program interventions in the early stage of HCC to reduce treatment decisions conflicts and improving decision-making satisfactionHepatocarcinoma (HCC) is a high incidence and high mortality disease. Hepatocarcinoma is also a very common disease in Taiwan. Treatment options are limited to those patients with advanced Hepatocarcinoma. However, there are many options for patients with compensated cirrhosis, and small liver tumors are potentially resectable. When patients understood the detailed assessment of the disease both doctors and patients can set the best treatment goals. Sharing decision-making is a patient-centered collaborative processes that enable individuals and their healthcare providers to make decisions together, but patient engagement appears to be less optimistic and there is a lack of evidence that the link between sharing decision-making measures and patient behavior and health outcomes. When decisions are made under social stress or time constraints, people may make less than optimal decisions when they lack sufficient information or skills. Since then the treatment does not match the expected results, often result in decision regrets or arguments with the medical team, and even evolved into medical lawsuits. Therefore, the purpose of this study is to explore the effectiveness of sharing decision-making program interventions in the early stage of HCC to reduce treatment decisions conflicts and improving decision-making satisfaction. In this study, investigators took the experimental design to assess the cases of early hepatocellular carcinoma in hepato- gastroenterology, surgery and oncology clinical in a teaching hospital in the eastern part of Taiwan. The intervention measures in this study "sharing decision-making plan" mainly includes sharing the decision-making talks and the decision-making assistance tools used in the process. According to Elwyn et.al. (2012), the decision-sharing model was proposed to intervene in the treatment decision-making of early liver cancer patients, including Choice talk, Option talk, Decision talk, and decision-making. Decision support for the process, where the investigator meets with the patient and its important others in the interdisciplinary discussion room or ward meeting room. Second, decision assistance tools. Decision assistance tools provide information about options and outcomes, and clarify personal values to help people participate in decision making. The aim is to supplement, rather than replace, medical staff counseling (Collins et al., 2009), and the quality of decision aids is very important. Satisfaction with the use of tools is associated with increased patient satisfaction and reduced decision-making. Patients can benefit from computerized decision-making tools without the need to increase physician involvement. The research tools include basic population data, clinical stage of disease, self-efficacy scale of hepatocellular carcinoma, Decision Decision Confidence Scale (DCS), decision self-efficacy scale , Decision Satisfaction Scale and Chinese Simplified-form Mandarin Health Literacy Scale. The obtained data were collected and analyzed by SPSS20.0 for Window software. The main statistical methods include descriptive statistics, T-test, analysis of variance, Pearson Product Moment correlation coefficient and Generalized Estimating Equations (GEEs) ).

Keywords

Eligibility

Minimum Age: 20 Years

Eligible Ages: ADULT, OLDER_ADULT

Sex: ALL

Healthy Volunteers: No

Locations

Contact Details

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