ORIGINAL RESEARCH article

Front. Med., 30 April 2025

Sec. Healthcare Professions Education

Volume 12 - 2025 | https://doi.org/10.3389/fmed.2025.1459015

This article is part of the Research TopicInteractive Robots for Healthcare and ParticipationView all articles

Issues in applications of nursing care robots, and in the training of care workers in their use in Japan

Nghia Chi Nguyen,
Nghia Chi Nguyen1,2*Masami SaitoMasami Saito3
  • 1Faculty of Management and Law, Aomori Chuo Gakuin University, Aomori, Japan
  • 2Graduate School of Economics and Management, Tohoku University, Sendai, Japan
  • 3Department of Early Childhood Education, Aomori Chuo Junior College, Aomori, Japan

Introduction: Although Information and Communication Technology (ICT) care robots are being used to address the shortage of human resources in nursing care in Japan, there are few studies on the application and disadvantages of robotics in caring for older persons.

Methods: The authors surveyed seven students taking a nursing care course based on a self-administered questionnaire after they experienced various ICT nursing care robots in the education program. The responses were coded and analyzed qualitatively to consider the advantages and disadvantages of using robots in nursing care and the roles of nursing care workers.

Results: While nursing care robots have been evaluated for their contributions to caring for older persons, they also have disadvantages, such as high cost, discomfort, and risk of injury.

Conclusion: Education programs for welfare students should include active experience with robots and a deep understanding of their advantages and disadvantages in caring for older people. Further collaboration between development companies, training schools, and care sites is essential to help educators and students get used to nursing care robots soon, refer to their experience in testing these robots, and simultaneously study potential disadvantages and discomforts of nursing care robots.

1 Background

1.1 Current status and predictions of Japan’s aging population

As of October 1, 2019, Japan’s total population was 126.17 million people, and the proportion of people aged 65 and over in the total population was increasing. The proportion of these older adults was 28.4%. In 1950, it was less than 5%, in 1970, it rose to 7%, and in 1994, it exceeded 14%. The population is now estimated to fall below 120 million in 2029, 100 million in 2053, and 88.08 million in 2065. In addition, the number of people over 65, the baby boomer generation who supported Japan’s postwar economic development, reached 33.87 million in 2015. By 2025, the baby boomer generation over 75 years of age will consist of an estimated 36.77 million people (1).

In this way, Japan’s aging rate continues to rise, and by 2036, those over age 65 will reach 33.3%, or one in three older adults. It will continue to rise after that; by 2065, it will reach 38.4%, or 1 in 2.6 people. In 2065, the proportion of adults aged 75 years or older will reach 25.5% or approximately 1 in 3.9 people. Among older people, those aged 65–74 years are referred to as the early older persons, and those aged 75 years and older are considered the late older persons. The problem with these increasing rates is that as the population gets older, the demand for health care increases due to declines in physical, mental, and social functions. The peak number of early older adults (65–74 years old) was 17.68 million in 2016, and the number of late older persons (over 75 years old) is expected to continue to increase until 2054 (1).

The average number of workers from younger generations supporting each older adult was 12.1 in 1950 but is predicted to be only 1.3 by 2065.

1.2 Extension of average lifespan

Compared to some other major countries in the world (Italy, Switzerland, France, Canada, Germany, the United Kingdom, and the United States), the data from 2016 showed that the average life expectancy for women and men in Japan was the highest. Furthermore, the average life expectancy in Japan was nearly 60 years for men and over 62 years for women in 1950, but by 2000, 50 years later, it had increased to over 77 years for men and nearly 85 years for women. The average life expectancy continues to increase, by 2065, this figure is expected to reach 84.95 years for men and 91.35 years for women (2). Along with the increase in average life expectancy has arisen the challenge of more and more people becoming bedridden for long periods due to health problems. The country must work on solutions to ameliorate this situation.

1.3 Current status and trends of people requiring care

The number of people certified to require nursing care support in Japan increased by approximately 2.90 times over the 17 years from the end of April 2000 (when nursing care insurance first became available) to April 2016.

The classification of nursing care support required consists of seven levels, starting with the mildest condition: support required 1 to 2, plus nursing care required 1 to 5 (Table 1).

Table 1
www.frontiersin.org

Table 1. Level of care required and types of support.

The number of people certified as having mild conditions has increased the most. This rate has been reported to be increasing still. Additionally, long-term nursing care insurance differ based on the proportion of older adults in each municipality. The national average premium for 3 years was JPY 2,911 per month in 2000, but in 2018, it rose to JPY 5, 869 per month. Furthermore, the average charge is predicted to increase to JPY 9,200 by 2040 (3).

1.4 Securing nursing care personnel

1.4.1 Current status and outlook of nursing care workers

The status of care workers is highly dependent on non-regular employment, with 61% of care workers working in nursing care facilities being regular workers, and 39% being non-regular workers. Furthermore, among visiting caregivers, 30.3% were regular employees and 69.7% were non-regular employees. Looking at nursing care workers by gender, the ratio of women is high; while most men working in nursing care are under 40 years of age, most women are over 40 years of age. Although the number of registered care workers increased by 875,262 from 2000 to 2012; currently, only approximately half of the registered population is engaged in nursing care employment (4).

After the implementation of the long-term care insurance system, the number of people certified as requiring long-term care increased, and the number of care workers increased from 2000 (549,000) to 2012 (1,532,000) due to the increase in service fees they can receive and to the aforementioned needs of the aging population. This number has increased by approximately three times over the past 12 years. As the number of older adults increases, it is predicted that 2.37–2.49 million nursing care workers will be required as soon as 2025.

1.4.2 Factors that hinder securing care workers

While nursing care jobs have a positive image among the public, there are concerns about difficult work, night shifts, and salary. It has been pointed out that the image of a job with a low salary or with uncertainty about the future impedes the recruitment of nursing care workers (4).

Preparing and improving the workplace environment are discussed as one of four initiatives to secure nursing care personnel in “Opinions regarding the review of the nursing care insurance system.” Specifically, the development of nursing care robots should be promoted to reduce the burden on nursing care staff, and the development and improvement of the workplace environment should be conducted to improve communication and work efficiency using ICT (5).

Existing studies mainly examined artificial intelligence and robotics in the health ecosystems (6), norms and values in using them (7), nursing students’ technological literacy (8), the benefits in adopting robotics in clinical practice (9, 10), especially in surgery, patient rehabilitation, medication storage, and contacting patients or colleagues in other countries outside Japan (11).

However, there is hardly any study on the application of robotics in nursing care and education programs for care workers in Japan.

2 Literature review

2.1 Definition of a nursing care robot

The definition of a robot as set by the Ministry of Health, Labor, and Welfare is an intelligent mechanized system with elemental technology that senses information (sensor systems), (2) makes judgments (intelligence/control systems), and (3) operates (drive systems). Nursing care robots can be applied as devices that support user independence and reduce the burden on caregivers. Regarding the development of robotic nursing care equipment, a joint study committee between the Ministry of Economy, Trade and Industry and the Ministry of Health, Labor and Welfare was established in June 2012, and in 2013 five items (transfer aids—wearable or non-wearable, mobility aids—outdoor, toileting aids, and monitoring at facilities) were announced as priority areas. In February 2014, areas of mobility aids—indoor, monitoring at home, and bathing aids were added to create eight items in five areas (Figure 1). Furthermore, in October 2017, this number expanded to 13 items in six areas.

Figure 1
www.frontiersin.org

Figure 1. Priority areas for nursing care robots. Source: Japan Agency for Medical Research and Development (https://www.amed.go.jp/en/program/list/12/02/001.html),

2.2 Purpose of utilizing ICT nursing care robots

As a challenge for nursing care, it is predicted that over the 15 years from 2010 to 2025, the aging rate (people reaching the age of 65 and over) is significantly increasing, from 23 to 30% of total population. It has become clear that the baby boomer generation will become older persons more or less all at once, and that the number of nursing care workers required will be 2.5 million by 2025. Additionally, given the current situation in which 70% of nursing care workers report that they suffer from lower back pain, it is necessary to reduce their physical burdens. The Ministry of Health, Labor and Welfare surveyed 220 nursing care facility managers and nursing care staff to determine the burden of each type of nursing care (the types shown in Figure 1) (12). Among the nursing care issues, The Ministry of Economy, Trade and Industry has designated “priority areas” that need to be addressed using nursing care robots.

To develop these robot care devices, equipment development will be led by the Ministry of Economy, Trade, and Industry, and private companies and research institutes will utilize advanced technology to provide support for older adults and nursing care facilities. Support for the development of equipment was provided based on the specific needs of nursing sites. In addition, the Ministry of Health, Labor, and Welfare plays a role in conducting demonstrations at nursing care sites from the early stages of development by communicating on local needs and by monitoring and evaluating prototype devices at nursing care sites.

2.3 Existing studies

To understand how research on ICT nursing robot education has been conducted to date, a Google Scholar search in Japanese was conducted using the keywords “ICT nursing robot education” and “care worker training.” Of the 609 results, the most popular papers centered on care worker education are listed in Table 2.

Table 2
www.frontiersin.org

Table 2. Prior research on ICT education on nursing care robots.

A similar methodology was used to search for English literature on Google Scholar. A literature review of studies published between 2010 and 2019 on the application of robotics in nursing in the Cochrane Library, ScienceDirect, and ProQuest databases yielded over 400 hits, but most were not directly related to nursing and only 26 studies were chosen because of their relevance to the topic (11). The results showed that robotics are often used in surgery, in patient rehabilitation, in medication storage, and in making contact with patients or colleagues. As new technologies, robotics are gradually playing more important roles in nursing. The review of McAllister et al. (11) emphasized the importance of nurse training that encourages the creative use of robotics in nursing without compromising the relationship between nurses and patients.

However, there is hardly any study on the application of robotics in nursing care and education programs for careworkers when using robotics in nursing care settings. In the context of nursing care in Japan, the authors conducted a literature review titled “ICT nursing care robot education” and “nursing care worker training” to understand how research on such ICT education has been conducted thus far in Japan (Table 2).

3 Research method

3.1 Data collection method

There is a problem with the number of students attending nursing care schools in Japan. As of April 2024, there were 54 schools offering 4-year programs, 4 schools offering 3-year programs, 211 schools offering 2-year programs, and 12 schools offering 1-year programs on nursing care in Japan. College A of our research offers a 1-year program, which is rare nationwide. In addition, a decrease in the number of students entering the program has been a nationwide issue recently, with three training schools in the fieldwork Prefecture suspending their recruitment. The number of students entering the welfare course at the target school has been low, with only three in 2022, seven in 2023, and five in 2024 out of a capacity of 25. Furthermore, this decrease results from the fact that people can work in the nursing care field without qualifications, and there is a negative image that it is tough and has a low salary compared to other occupations.

Although the advantages of nursing care robots are explained in care worker training textbooks, it is essential to confirm these advantages and examine potential disadvantages. Data from students’ experiences aiming to become care workers has never been investigated. The participants were seven students taking a nursing care course at College A to obtain certification as care workers. In ICT nursing care robot programs 3 and 4, students experienced using the various ICT nursing care robots listed in Table 3 in an off-campus exhibition hall. The participants then completed a self-administered questionnaire.

Table 3
www.frontiersin.org

Table 3. Nursing care robots students used, partial list.

3.2 Analysis method

In the 3rd and 4th classes of the ICT nursing care robot program listed in Table 4, students spent 90 min experiencing the nursing care robots listed in Table 3 in the nursing care robot exhibition room at the Welfare Plaza while receiving an explanation about them. These robots are not available in College A’s training rooms. A self-administered questionnaire for target participants was carried out after the 3rd and 4th classes of the ICT nursing care robot program listed in Table 4.

Table 4
www.frontiersin.org

Table 4. ICT care robot education curriculum.

The authors surveyed seven students who observed and experienced using the robots. The responses were analyzed using qualitative data analysis methods and text mining. The responses on the benefits of nursing care robots, disadvantages, and roles of care workers while using nursing care robots in supporting and caring for users were organized and classified into categories, subcategories and codes (Tables 57). Consequently, 11 categories, 22 subcategories, and 38 codes were identified. The authors designate [Category], Subcategory, and <Code>.

Table 5
www.frontiersin.org

Table 5. List of benefits after the use of nursing care robots n = 7.

Table 6
www.frontiersin.org

Table 6. List of disadvantages after the use of nursing care robots n = 7.

Table 7
www.frontiersin.org

Table 7. Role of care worker using ICT care robots n = 7.

3.3 Nursing care robot program

The content of the care worker training curriculum to be conducted in 10 lessons (90 min each) on life support techniques was as follows (Table 4).

4 Results and analysis

4.1 Benefits of nursing care robots

As a result of the analysis, two subcategories and two codes were extracted from the category [Improve operational efficiency]. Reduced burden (reduction in travel distance) and Expected to improve operational efficiency were answered by <Reduced travel distance> and <work will become smoother>.

Four codes were extracted from two subcategories from [Easy independence support], <lower back pain prevention> and <physical burden reduction> from Lower back pain prevention, and <possibility of independence support> and <individual care> from Independence support were extracted.

Two subcategories and four codes were extracted from [Stress Reduction]. For stress reduction, the responses were <not touching filth>, <freeing up time>, and <no smell>. For Easy, the response was <it’s easy>.

Two subcategories and three codes were extracted from [Safe Environment]. Can be observed from a distance means <fall prevention> and <can be observed from a distance>. And health care means <accurate health observation can be done automatically>.

Two subcategories and three codes were extracted from [reducing dementia progression]. Healing means <Eliminate loneliness> and <healing>. Alleviating dementia means <promoting conversation>.

4.2 Disadvantages of using the nursing-care robots

The results regarding the disadvantages in using the nursing-care robots are shown in Table 6. [Feeling burdened by high costs] has one subcategory and one code, from Feeling of burden to <Feeling of burden due to costs>.

Two subcategories and five codes were extracted based on [Risk of unusableness] category. For Risk of accidents subcategory, the responses were <Possible machine error> and <Risk of accident>. The answers for the subcategory Mechanical malfunction were <Processing takes time>, <Network instability> and <Requires charging>.

Two categories and six codes were extracted from [Physical and mental burden on users and caregivers]. Regarding the subcategory Feeling of the burden of assistance, the responses were <Feeling burdensome when putting on and taking off>, <Difficult to move>, and <Feeling uncomfortable>. Regarding Mental burden subcategory, the responses were < Privacy cannot be protected >, <Feeling anxious> and <Feeling shame>.

There are two subcategories and two codes for [Dangerous environment]. For the subcategory Difficult to understand health status, the answer was <Unable to check excrement>; and Wired fall risk subcategory had the correlate <Risk of wired hazards>.

Two subcategories and three codes were extracted based on the [Inconvenience of use] category. In terms of Difficulty in use, it was <Only compatible with specific words> and <inaccuracy in listening>. For Need space, the response was <Need a large space>.

4.2.1 Role of care workers in using ICT nursing-care robots

The results for the roles of care workers using ICT care robots are shown in Table 7. One subcategory and two codes were extracted from [Provide support close to users]. In the subcategory Increase engagement with users and provide support, the correlates were <Support that is close to users> and <Increase engagement with users>.

5 Discussion

The stated advantages of using robots after the student subjects experienced them are considered to be within expectations; however, their mention of the disadvantage of high user cost was interesting. Costs need to be lowered to make robotic devices easier for everyone to obtain. Although devices may reduce the physical and mental burdens on both caregivers and users, high costs may be a hindrance to their introduction.

Regarding the cost of care robots, for example, the transfer-care type HAL costs 2 million yen per unit, and the transfer-care type robot-assisted walker RT.2 costs 118,000 yen. Although it is necessary for education, it is difficult to introduce them because of their high cost.1 Care robots are advanced devices and systems that support the lives of elderly people who need care and contribute to reducing the burden on caregivers and their families. They are already widespread in welfare-advanced countries such as Denmark and the Netherlands, and their usefulness is being proven. As shown in Table 4, the average price of a care robot is about 400,000 yen, making it expensive, and in a report from a research project on the effectiveness of care robots conducted by the Ministry of Health, Labour and Welfare, the most common issue felt when introducing care robots was high introduction costs (13). In addition, concerning the risk of injury, Mitsubishi Research Institute, Inc., with funding from the Ministry of Health, Labour and Welfare, presented a collection of points to use safely based on actual near misses regarding the use of care robots in 600 facilities in March 2021 (14).

Furthermore, in some cases, using the product may pose a risk of injury or cause discomfort, and care workers need to consider not only the benefits but also the disadvantages of nursing care robots. This awareness will promote the introduction of safer ICT nursing care robots.

6 Conclusion

Although they are included in nursing care worker education, nursing care robots are expensive, so in real terms their introduction has been limited. Many in the field remain reluctant to introduce robots in nursing care settings. This research was carried out in a nursing care education program where students had a lot of hands-on experiences, and they thought deeply about the benefits and disadvantages for caregivers and users. It was verified that the role of care workers is to master and use ICT care robots to provide close support to users, which can improve overall awareness in care settings.

As the introduction of care robots in the field has not progressed, there are few opportunities for care worker training schools to use care robots in their training sites. Since there are limits to introducing ICT nursing care robots as training equipment in nursing care worker schools, it is necessary to offer opportunities for active experience using public institutions such as those detailed in this program. It is essential to focus on both the advantages and disadvantages of ICT care robots and to consider their ongoing role. The authors believe developing human resources that understand nursing care robots in the field is necessary. These findings will improve the quality of nursing care by being used in future nursing care settings.

The Ministry of Health, Labour and Welfare has reported on its achievements from 2016 to 2019, in which development companies and care sites have discussed the direction of care robot development from the idea stage before the development of the robot and proposed development proposals.2 It is believed that the quality of care robot education can be ensured if teachers and students at care worker training schools can also participate at this stage. For example, in Japan, the Ministry of Economy, Trade and Industry has been promoting the development of such robots, so we recommend that further collaboration with nursing care educators be included in the development requirements to help educators and students get used to nursing care robots soon, refer to their experience in testing these robots and study potential disadvantages and discomforts of nursing care robots at the same time.

Data availability statement

The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found in the article/supplementary material.

Ethics statement

Ethical review and approval was not required for the study on human participants in accordance with the local legislation and institutional requirements. Written informed consent from the [patients/ participants OR patients/participants legal guardian/next of kin] was not required to participate in this study in accordance with the national legislation and the institutional requirements.

Author contributions

NN: Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Project administration, Writing - original draft, Writing - review & editing. MS: Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Project administration, Writing - original draft, Writing - review & editing.

Funding

The author(s) declare that financial support was received for the research and/or publication of this article. The authors thank Aomori Chuo Gakuin University Research Fund for the publication of this article.

Acknowledgments

The authors thank the editor, Dr. Anna-Lisa Vollmer, and two reviewers for their constructive comments.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Generative AI statement

The author(s) declare that no Gen AI was used in the creation of this manuscript.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Footnotes

References

1. Cabinet Office (2020). Annual report on the ageing society [summary] FY2020. Available online at: https://www8.cao.go.jp/kourei/english/annualreport/2020/pdf/2020.pdf (Accessed February 6, 2025).

Google Scholar

2. Ministry of Health, Labour and Welfare (2024). Overview of the system and the basic statistics. Available online at: https://www.mhlw.go.jp/english/wp/wp-hw11/dl/01e.pdf (Accessed February 13, 2025).

Google Scholar

3. Cabinet Office (2024). Yō kaigo-do-betsu ninteishasū no suii [changes in the number of people certified by level of nursing care required]. Available online at: https://www5.cao.go.jp/keizai-shimon/kaigi/special/reform/wg1/301030/shiryou3-2-2.pdf (Accessed February 6, 2025).

Google Scholar

4. Ministry of Health, Labour and Welfare (2013). Kaigo jinzai no kakuho ni tsuite [regarding securing nursing care personnel]. Available online at: https://www.mhlw.go.jp/english/wp/wp-hw11/dl/01e.pdf (Accessed February 13, 2025).

Google Scholar

5. Ministry of Health, Labour and Welfare (2022). Kaigo hōkenseido no minaoshi ni kansuru iken [opinions regarding the review of the long-term care insurance system]. Available online at: https://www.mhlw.go.jp/content/12300000/001027165.pdf (Accessed February 13, 2025).

Google Scholar

6. Denecke, K, and Baudoin, CR. A review of artificial intelligence and robotics in transformed health ecosystems. Front Med. (2022) 9:795957. doi: 10.3389/fmed.2022.795957

PubMed Abstract | Crossref Full Text | Google Scholar

7. Turja, T, Kork, AA, Ilomäki, S, Hellstrand, I, and Koistinen, AK. Care robot literacy: integrating AI ethics and technological literacy in contemporary healthcare. AI Ethics. (2024) 2024. doi: 10.1007/s43681-024-00576-6

Crossref Full Text | Google Scholar

8. Nes, AAG, Steindal, SA, Larsen, MH, Heer, HC, Lærum-Onsager, E, and Gjevjon, ER. Technological literacy in nursing education: a scoping review. J Prof Nurs. (2021) 37:320–34. doi: 10.1016/j.profnurs.2021.01.008

Crossref Full Text | Google Scholar

9. Christoforou, EG, Avgousti, S, Ramdani, N, Novales, C, and Panayides, AS. The upcoming role for nursing and assistive robotics: opportunities and challenges ahead. Front Digit Health. (2020) 2:585656. doi: 10.3389/fdgth.2020.585656

PubMed Abstract | Crossref Full Text | Google Scholar

10. Dahl, TS, and Boulos, MN. Robots in health and social care: a complementary technology to home care and Telehealthcare? Robotics. (2014) 3:1–21. doi: 10.3390/robotics3010001

Crossref Full Text | Google Scholar

11. McAllister, M, Kellenbourn, K, and Wood, D. The robots are here, but are nurse educators prepared? Collegian. (2021) 28:230–5. doi: 10.1016/j.colegn.2020.07.005

Crossref Full Text | Google Scholar

12. Prime Minister’s Office of Japan (2013). Kaigo bun'ya ni okeru robotto katsuyō [utilization of robots in the nursing care field]. Available online at: https://www.kantei.go.jp/jp/singi/robot/dai2/siryou3-1.pdf (Accessed February 13, 2024).

Google Scholar

13. Ministry of Health, Labour and Welfare (2018). Kaigo robotto no kōka jisshō ni kansuru chōsa kenkyū jigyō (kekka gaiyō) (an) [survey and research project on the effectiveness of nursing care robots (summary of results) (draft)]. Available online at: https://www.mhlw.go.jp/content/12601000/000488463.pdf (Accessed March 1, 2025).

Google Scholar

14. Mitsubishi Research Institute (2021). Kaigo robotto o anzen ni tsukau tame no pointo-shū ~ 600 shisetsu no koe ~ kaigo robotto anzen anshin'na riyō no tame no tebiki [a collection of points for using nursing care robots safely - voices of 600 facilities - a guide for the safe and secure use of nursing care robots]. Available online at: https://www.pref.aichi.jp/uploaded/attachment/527390.pdf (Accessed March 1, 2025).

Google Scholar

15. Yoshikawa, N. Kaigo robotto, kaigo ICT o toriireta kaigo fukushi-shi yōsei no kokoromi to kōka [nursing care robot, nursing care ICT introduced: attempt and training of nursing care worker training]. J Aomori Chuo Junior College. (2019) 32:219–22. doi: 10.24549/00000132

Crossref Full Text | Google Scholar

16. Kumita, C. Kaigo genba ni okeru fukushi tekunorojī no dōnyū o meguru ichikōsatsu [a study about the introduction of welfare Technology in the Nursing Care Field]. Bullet Faculty Soc Welfare Doho Univ. (2019) 26:167–81.

Google Scholar

17. Yokoyama, S, Yamashita, S, Ebi, Y, Tsuchiya, S, Morita, N, Nagura, H, et al. Kaigo shien kiki no dōnyū katsuyō to kaigoshokuinkenshū no genjō to kadai - A-ken no kaigo fukushi shisetsu jittai chōsa yori – [current situation and issues related to the introduction and use of care support equipment and training for care staff — from a survey of care facilities in prefecture a]. J Hum Well-being. (2020) 19:67–77. doi: 10.34591/humanwellbeing.19.2_67

Crossref Full Text | Google Scholar

18. Tomitagawa, S. Kaigo fukushi-shi yōsei katei ni okeru nōrifutingukea kyōiku no genjō to kadai — kaigo rōdō genba no rōdō eisei no suijun ga kōjō suru tame ni — [current status and issues of “no lifting care” education in certified care worker training courses. —to improve the level of occupational health at the care workplace]. J Living Welfare Kyoto Womens Univ. (2020) 15:31–7. doi: 10.69181/2959

Crossref Full Text | Google Scholar

19. Asaishi, Y. Fukushi kaigo shisetsu no shūhen gyōmu ni taisuru kiki katsuyō no kanōsei – ‘kaigo genba kakushin puran’ no giron to gyōmu kaisō-ka no shiten o fumaete [possibilities of using equipment for peripheral tasks in welfare and nursing care facilities – based on the discussion of the ‘nursing care site innovation plan’ and the perspective of work stratification]. J Soc Welfare Nihon Fukushi Univ. (2021) 143/144:27–56.

Google Scholar

20. Kakutani, M, and Ohinata, M. Kōkō kyōka fukushi ni okeru STEAM kyōiku no kōka kenshō [verification of the effectiveness of STEAM education in high school subject welfare]. Bullet Faculty Educ Mie Univ. (2023) 74:273–7.

Google Scholar

Keywords: nursing care robots, disadvantages, roles of caregivers, education, benefits

Citation: Nguyen NC and Saito M (2025) Issues in applications of nursing care robots, and in the training of care workers in their use in Japan. Front. Med. 12:1459015. doi: 10.3389/fmed.2025.1459015

Received: 13 November 2024; Accepted: 02 April 2025;
Published: 30 April 2025.

Edited by:

Anna-Lisa Vollmer, Bielefeld University, Germany

Reviewed by:

Mohd Anul Haq, Majmaah University, Saudi Arabia
Siti Anom Ahmad, Putra Malaysia University, Malaysia

Copyright © 2025 Nguyen and Saito. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Nghia Chi Nguyen, bmdoaWEtbmd1eWVuQGFvbW9yaWNndS5hYy5qcA==; Y2hpLm5naGlhLm5ndXllbi5hM0B0b2hva3UuYWMuanA=

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.