Mayuko Tsujimura
Chiba University
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Publication
Featured researches published by Mayuko Tsujimura.
Annals of Oncology | 2011
Sakiko Fukui; Junko Fujita; Mayuko Tsujimura; Y. Sumikawa; Yayoi Hayashi; Naoshi Fukui
BACKGROUND To identify factors influencing place of death among home palliative care patients with advanced cancer, focusing on the timing of referrals from hospital to home care settings. METHODS A cross-sectional nationwide questionnaire survey was conducted on home palliative care patients at 1000 randomly selected home care agencies in Japan. A total of 568 responses were analyzed (effective response rate, 69%). RESULTS Multivariate logistic regression analysis revealed that (i) predischarge health care supports in hospital (e.g. early referral 8 days or more before discharge; clear explanation by hospital staffs to patients and families regarding discharge to live and die at home) and (ii) postdischarge health care supports after transferring home care (e.g. signing a 24-h support insurance contract of network between primary physician and nurse as a home palliative care team; primary nurse consultation with primary physician >3 times during the first week after discharge) have an effect on place of death among home palliative care patients. CONCLUSION An early and carefully coordinated referral support system for smooth discharge by hospital staffs as well as intensive and highly qualified support just after discharge by the home care team would help to increase the number of patients who could die at home.
International Journal of Nursing Practice | 2016
Mayuko Tsujimura; Kazuko Ishigaki; Noriko Yamamoto-Mitani; Junko Fujita; Naoko Katakura; Yasuko Ogata; Yuki Mochizuki; Yuko Okamoto; Yuko Shinohara
The population of Japan has become multi-cultural, and there is more demand for culturally competent nursing care. The purpose of this study was to explore cultural characteristics of nursing practice in Japan focusing on behaviour. We interviewed 25 professionals with experience in or knowledge of nursing practice both in Japan and either the United States, the United Kingdom, Sweden, Thailand or South Korea. Qualitative content analysis has yielded three themes for cultural characteristics of nursing practice in Japan: practice expectations, communication and relationships with patients. Practice expectations for nurses in Japan involved various aspects; nurses conducted a wide range of basic nursing tasks, including bed baths and toileting. They often relied on non-verbal communication to deliver thoughtfulness and perceptiveness. They typically show deference to doctors and colleagues, emphasizing building and maintaining harmony with them. This emphasis on a multifaceted, non-verbal, and harmonious approach seemed characteristic of practice among Japanese nurses.
Journal of Healthcare Engineering | 2017
Wenwei Yu; Keigo Nakahata; Guang Hao Sun; Akio Namiki; Sayuri Suwa; Mayuko Tsujimura; Le Xie; Jinwu Wang; Shao Ying Huang
Mobile robotics is a potential solution to home behavior monitoring for the elderly. For a mobile robot in the real world, there are several types of uncertainties for its perceptions, such as the ambiguity between a target object and the surrounding objects and occlusions by furniture. The problem could be more serious for a home behavior-monitoring system, which aims to accurately recognize the activity of a target person, in spite of these uncertainties. It detects irregularities and categorizes situations requiring further explorations, which strategically maximize the information needed for activity recognition while minimizing the costs. Two schemes of active sensing, based on two irregularity detections, namely, heuristic-based and template-matching-based irregularity detections, were implemented and examined for body contour-based activity recognition. Their time cost and accuracy in activity recognition were evaluated through experiments in both a controlled scenario and a home living scenario. Experiment results showed that the categorized further explorations guided the robot system to sense the target person actively. As a result, with the proposed approach, the robot system has achieved higher accuracy of activity recognition.
Geriatrics & Gerontology International | 2017
Junko Fujita; Sakiko Fukui; Sumie Ikezaki; Chizuru Otoguro; Mayuko Tsujimura
To define the team types consisting of doctors, home‐visiting nurses and care managers for end‐of‐life care by measuring the collaboration relationship, and to identify the factors related to the team types.
International Journal of Nursing Practice | 2016
Atsuko Shimamura; Sayuri Suwa; Mayuko Tsujimura
This study aimed to explore how visiting nurses in Japan sense Kuuki (mood or atmosphere) in the homes of patients and families. Participants were 15 Japanese visiting nurses with experience sensing kuuki in homes of patients and families. Data were collected through two 90 min focus group interviews with experienced visiting nurses, and a qualitative content analysis was performed. The qualitative analysis showed that experienced visiting nurses sensed kuuki in eight ways. Kuuki differs based on type of illness, state of health and number of visits. Sensitivity to kuuki is thought to be linked to understanding of patient and family feelings, changes in the physical condition of patients and evaluation of nursing care delivery. Perception of kuuki also contributes to care planning especially on the very first home visit and when visiting terminally ill patients.
Journal of Japan Academy of Nursing Science | 2008
Noriko Yamamoto-Mitani; Yuko Okamoto; Mayuko Tsujimura; Katsuko Kanagawa; Harue Masaki; Mizue Suzuki; Ritsuko Yamada; Ikuko Suzuki; Midori Nagano; Yasuko Ogata; Shinobu Okada; Akiko Honda; Tomoko Akanuma; Keiko Nemoto; Junko Fukada; Kazuko Ishigaki
Journal of School of Nursing, Chiba University | 2006
Noriko Yamamoto-Mitani; Tomoko Akanuma; Mayuko Tsujimura; Xiuying Hu; Miyuki Ishibashi; Kazuko Ishigaki
International Journal of Nursing Practice | 2018
Sayuri Suwa; Saori Otani; Mayuko Tsujimura; Kotoko Nogawa; Yoko Shiya
Age and Ageing | 2018
Naonori Kodate; Sayuri Suwa; Mayuko Tsujimura; Mina Ishimaru; Atsuko Shimamura; Hiroo Ide; Wenwei Yu
Age and Ageing | 2018
Sayuri Suwa; Mayuko Tsujimura; Naonori Kodate; Sarah Donnelly; Helli Kitinoja; Mina Ishimaru; Hiroo Ide; Atsuko Shimamura; Erika Takahashi; Jaakko Hallila; Marika Toivonen; Wenwei Yu