Publications by authors named "Masayo Hayakawa"

Objective: This study was conducted to investigate the types of conversational agents (CA) that can help address questions and concerns ("lay topics" [LTs]).

Methods: We analyzed audio recordings of telephone consultations with 100 breast cancer patients and their families. (1) We identified the content and mode of expression of LTs about breast cancer raised during actual telephone consultations.

View Article and Find Full Text PDF

Background: Cancer information service (CIS) programmes are becoming increasingly important because patients need to obtain appropriate information and take an active role in their treatment decisions. Programme evaluation is required to determine the level of satisfaction and quality of experiences of users. The purpose of this study is (1) to identify users' evaluation of CIS programmes by both satisfaction and outcomes that reflect the quality of experience and impact of using the CIS, (2) to examine the related factors of these evaluation outcomes and (3) to analyse the differences of those relations between patients and families.

View Article and Find Full Text PDF

Background: In the rapidly-progressing healthcare environment, it is essential to improve treatment quality through continuous clarification of the needs and concerns of esophageal cancer patients and their families. Effective collaboration between information providers and academic associations could help make such clarified information available.

Methods: We analyzed esophageal cancer patients' views and preferences (PVPs) using data that were previously obtained from medical staff in Japan.

View Article and Find Full Text PDF

Purpose: It is crucial for health professionals to understand patients' and families' views and preferences (PVPs) to enhance their adherence to treatments and subsequent satisfaction. Regularly and consistently collecting comprehensive information on the needs and concerns of patients/families and utilizing the information is vital for improving clinical practice and the healthcare environment. As an initial approach, this study aimed to develop a new system for appropriately collecting PVPs regarding cancer from nationwide medical staff and consider the potential utilization of PVPs in clinical practice.

View Article and Find Full Text PDF

Medical illustrations are an effective means of conveying complex information about cancer to patients and laypersons. However, there are no standard criteria for creating these illustrations. This study used online exploratory research focussed on laypersons to identify the aspects of an illustration that convey the optimal degree of detail and understand these findings.

View Article and Find Full Text PDF

Under the recent trend of an increasing number of cancer survivors, there is a need to devise measures for visualization of medical care and public health programs related to cancer control, which will enable better overview of the activities at hospitals and local communities and allow various stakeholders to share the information about such activities. The aim of this study was to propose a new tool for proper implementation of cancer information and support programs provided under the national cancer control policy in Japan. Considering 5 elements reported by Handler et al (macro context, mission, structural capacity, processes, and outcomes), we conducted the focus group discussions to confirm the goals of activities of Cancer Information and Support Centers.

View Article and Find Full Text PDF

Introduction: Patients often take several different medications for multiple conditions concurrently. Therefore, when adverse drug events (ADEs) occur, it is necessary to consider the mechanisms responsible. Few approaches consider the mechanisms of ADEs, such as changes in physiological states.

View Article and Find Full Text PDF

The provision of information about cancer is an important aspect of cancer care. Cancer information provided online is expected to meet the needs of information seekers. Whether information needs vary according to tumor site is largely unknown.

View Article and Find Full Text PDF

Prediction of synergistic or antagonistic effects of drug-drug interaction (DDI) in vivo has been of considerable interest over the years. Formal representation of pharmacological knowledge such as ontology is indispensable for machine reasoning of possible DDIs. However, current pharmacology knowledge bases are not sufficient to provide formal representation of DDI information.

View Article and Find Full Text PDF