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JRM Vol.33 No.4 pp. 747-755
doi: 10.20965/jrm.2021.p0747
(2021)

Paper:

Impression Survey and Grounded Theory Analysis of the Development of Medication Support Robots for Patients with Schizophrenia

Tomoe Ozeki*, Tetsuya Mouri**, Hiroko Sugiura***, Yuu Yano***, and Kunie Miyosawa***

*Aichi University of Technology
50-2 Manori, Nishisako-cho, Gamagori, Aichi 443-0047, Japan

**Gifu University
1-1 Yanagido, Gifu, Gifu 501-1193, Japan

***Gifu University of Medical Science
4-3-3 Nijigaoka, Kani, Gifu 509-0293, Japan

Received:
January 20, 2021
Accepted:
May 18, 2021
Published:
August 20, 2021
Keywords:
medication adherence, schizophrenic patients, communication robot, interaction, grounded theory approach
Abstract

Medication is a key treatment for patients with schizophrenia. Patients with schizophrenia tend to easily decrease medication adherence with long-term treatment. However, there is a chronic shortage of specialists who provide medication support, such as visiting nurses. In addition, these patients do not often use smartphones or PCs in their daily lives. Thus, schizophrenic patients need a direct approach in the physical world because they are unfamiliar with cyberspace. This study aims to improve the home treatment environment using robot technology that can approach in the physical world of schizophrenic patients who need medication support. In this study, collaboration between psychiatric nursing specialists and medical engineers investigated the interaction between communication robots and patients. The results showed that the robot was accepted by patients with schizophrenia as a talking partner. The amount of robot talking seemed to affect the impression of the robot on schizophrenics. Utterance process analysis showed that the smoothness of the conversation affected the relationship between robots and schizophrenics.

Observational research using communication robot

Observational research using communication robot

Cite this article as:
T. Ozeki, T. Mouri, H. Sugiura, Y. Yano, and K. Miyosawa, “Impression Survey and Grounded Theory Analysis of the Development of Medication Support Robots for Patients with Schizophrenia,” J. Robot. Mechatron., Vol.33 No.4, pp. 747-755, 2021.
Data files:
References
  1. [1] S. Maki, K. Nagai, and S. Ando, “The Process of the Support by the Proficient and Expert Hospital Nurses for the Community Settlement of the Discharged Schizophrenia Patients Who Were Readmitted within Three Months,” J. of Japan Academy of Psychiatric and Mental Health Nursing, Vol.41, No.4, pp. 4_713-4_722, 2018 (in Japanese).
  2. [2] E. Ikebuchi, S. Sato, and N. Anzai, “What Impedes Discharge Support for Persons with Schizophrenia in Psychiatric Hospitals?,” Psychiatria et Neurologia Japonica, Vol.110, No.11, pp. 1007-1022, 2008 (in Japanese).
  3. [3] P. M. Ho, C. L. Bryson, and J. S. Rumsfeld, “Medication adherence,” Circulation, Vol.119, No.23, pp. 3028-3035, 2009.
  4. [4] M. Yamashita, T. Iseki, and A. Yabuta, “Recognition and Difficulty for Drug Administration of Mentally Handicapped Persons Living in Communities,” J. of Japan Society of Nursing Research, Vol.40, Issue 2, pp. 2_163-2_170, doi: 10.15065/jjsnr.20161127007, 2017 (in Japanese).
  5. [5] T. Suzuki, Y. Jose, and Y. Nakauchi, “A Camera-Embedded Intelligent Medicine Case for Reducing the Risk of Incorrect Medication,” Proc. of the 25th Annual Conf. of the Japanese Society for Artificial Intelligence (JSAI 2011), 1A2-NFC1b-3, 2011 (in Japanese).
  6. [6] T. Suzuki, Y. Jose, and Y. Nakauchi, “Impression Difference Between Intelligent Medicine Case and Small Service Robot in Self-Medication Support Situations,” J. Robot. Mechatron., Vol.25, No.5, pp. 855-862, 2013.
  7. [7] A. Bandura, “Regulation of cognitive processes through perceived self-efficacy,” Developmental Psychology, Vol.25, Issue 5, pp. 729-735, 1989.
  8. [8] A. Luszczynska and R. K. Schwarzer, “Social cognitive theory,” M. Conner and P. Norman (Eds.), “Predicting Health Behaviour,” Open University Press, pp. 127-169, 2005.
  9. [9] E. Kaltenthaler, G. Parry, C. Beverley, and M. Ferriter, “Computerized cognitive-behavioural therapy for depression: systematic review,” British J. of Psychiatry, Vol.193, Issue 3, pp. 181-184, 2008.
  10. [10] E. Togo, Y. Nitta, Y. Mizuno, and K. Ishigaki, “Development of a Home Care Support System for Patients with Psychiatric Disorders,” Trans. of Japan Society of Kansei Engineering, Vol.18, Issue 4, pp. 331-341, doi: 10.5057/jjske.TJSKE-D-18-00066, 2019 (in Japanese).
  11. [11] T. W. Bickmore, K. Puskar, E. A. Schlenk, L. M. Pfeifer, and S. M. Sereika, “Maintaining reality: Relational agents for antipsychotic medication adherence,” Interacting with Computers, Vol.22, Issue 4, pp. 276-288, 2010.
  12. [12] A. Paiv, I. Leite, H. Boukricha, and I. Wachsmuth, “Empathy in virtual agents and robots: a survey,” ACM Trans. on Interactive Intelligent Systems (TiiS), Vol.7, Issue 3, 11, 2017.
  13. [13] S. Yamamoto, J. Woo, W. H. Chin, K. Matsumura, and N. Kubota, “Interactive Information Support by Robot Partners Based on Informationally Structured Space,” J. Robot. Mechatron., Vol.32, No.1, 2020.
  14. [14] T. Ozeki, T. Mouri, H. Sugiura, Y. Yano, and K. Miyosawa, “Use of communication robots to converse with people suffering from schizophrenia,” ROBOMECH J., Vol.7, No.1, pp. 1-14, 2020.
  15. [15] B. Glaser, “Theoretical sensitivity: Advances in the methodology of grounded theory,” Sociology Press, 1978.
  16. [16] G. Sato, I. Chiba, Y. Inui, M. Kubo, N. Kumagai, H. Fujita, and S. Morioka, “Qualitative Research on Changes in the Body Image of Patients with Spinal Cord Injury: Study Using M-GTA for a Patient with Thoracic Spinal Cord Injury,” Rigakuryoho Kagaku, Vol.25, No.4, pp. 505-512, 2010 (in Japanese).
  17. [17] T. Kanda, H. Ishiguro, and T. Ishida, “Psychological Evaluation on Interactions between People and Robot,” J. of the Robotics Society of Japan, Vol.19, Issue 3, pp. 78-87, 2001 (in Japanese).
  18. [18] K. Higuchi, “A Two-Step Approach to Quantitative Content Analysis: KH Coder Tutorial Using Anne of Green Gables (Part II),” Ritsumeikan Social Science Review, Vol.53, No.1, pp. 137-147, 2007.
  19. [19] K. Wada, T. Shibata, T. Asada, and T. Musha, “Robot therapy for prevention of dementia at home,” J. Robot. Mechatron., Vol.19, No.6, pp. 691-697, 2007.

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