ArticleJournal of medical Internet research2020
Role of Assistive Robots in the Care of Older People: Survey Study Among Medical and Nursing Students.
Article in Journal of medical Internet research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 2 of them syntheses that pooled it.
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Who cites it
20 citing papers in PubMed, 2 syntheses or guidelines pooled it, 51 citations in OpenAlex.
- Nursing Staff's Perspectives of Care Robots for Assisted Living Facilities: Systematic Literature Review.JMIR aging · 2024Pooled it
- Intelligent Physical Robots in Health Care: Systematic Literature Review.Journal of medical Internet research · 2023Pooled it
- Understanding the Functional Needs of Patients With Cardiovascular Disease Regarding Nursing Robots Using a Kano Survey Scale: Cross-Sectional Study.Interactive journal of medical research · 2026Article
- Clinical employment and nursing students' attitudes towards a humanoid social robot in geriatric care: implications for the public health workforce.Frontiers in public health · 2026Article
- A Scoping Review on Long-Term Care Workers' Perceptions of Robot-Assisted Care for Older Adults in Long-Term Care Facilities.Journal of advanced nursing · 2025Article
- Individual innovativeness levels and levels of medical artificial intelligence readiness among nursing students: a cross-sectional and correlational study.BMC medical education · 2025Article
- Use of Artificial Intelligence, Internet of Things, and Edge Intelligence in Long-Term Care for Older People: Comprehensive Analysis Through Bibliometric, Google Trends, and Content Analysis.Journal of medical Internet research · 2025Article
- Attitudes toward artificial intelligence and robots in healthcare in the general population: a qualitative study.Frontiers in digital health · 2025Article
- Assessing Visitor Expectations of AI Nursing Robots in Hospital Settings: Cross-Sectional Study Using the Kano Model.JMIR nursing · 2024Article
- The Co-Piloting Model for Using Artificial Intelligence Systems in Medicine: Implementing the Constrained-Disorder-Principle-Based Second-Generation System.Bioengineering (Basel, Switzerland) · 2024Review
- Privacy Barriers in Health Monitoring: Scoping Review.JMIR nursing · 2024Article
- Socially assistive walker for daily living assistance in older adults.Frontiers in robotics and AI · 2024Article
- When a notification at the right time is not enough: the reminding process for socially assistive robots in institutional care.Frontiers in robotics and AI · 2024Article
- ADAM: a robotic companion for enhanced quality of life in aging populations.Frontiers in neurorobotics · 2024Article
- The Effects of Stakeholder Perceptions on the Use of Humanoid Robots in Care for Older Adults: Postinteraction Cross-Sectional Study.Journal of medical Internet research · 2023Article
- The perceptions of university students on technological and ethical risks of using robots in long-term care homes.Frontiers in robotics and AI · 2023Article
- Views on Using Social Robots in Professional Caregiving: Content Analysis of a Scenario Method Workshop.Journal of medical Internet research · 2021Review
- Companion robots for older adults: Rodgers' evolutionary concept analysis approach.Intelligent service robotics · 2021Article
- Students perspectives on the development and deployment of an AI-enabled service robot in long-term care.Journal of rehabilitation and assistive technologies engineeringArticle
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Corrections and comments
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundPopulations are aging at an alarming rate in many countries around the world. There has been not only a decrease in the number of births and an increase in the percentage of older people, but also an increase in the number of people living alone. There is growing demand for specialist medical care and daily care with the number of people who can act as caregivers reducing. The use of assistive robots can, at least partially, solve these problems.
objectiveThe purpose of this study was to examine the opinions of future health care professionals (medical and nursing students) regarding the use of assistive robots in the care of older people.
methodsThe study was conducted with a group of 178 students from Poznan University of Medical Sciences, Poznań, Poland (110 nursing students and 68 medical students), using the Users' Needs, Requirements, and Abilities Questionnaire.
resultsThe participants of this study believed that assistive robots should, first of all, remind older people to take medication regularly, ensure their safety, monitor their health status and environment, provide cognitive training, and encourage them to maintain physical activity. In the students' opinion, the robot should not be an older person's companion but only act as an assistant. Nursing students had significantly higher scores than medical students in several statements concerning everyday use of robots, including reminding about meals (P=.03), monitoring the environment (P=.001), providing advice about a healthy diet (P=.04), monitoring the intake of food and fluids (P=.02), and automatic "switch on" function (P=.02). Nursing students were more focused on the social functions of robots, including encouraging contact with friends (P=.003) and reducing the sense of loneliness and improving mood (P=.008). Medical students were more aware of privacy issues in the statement concerning the possibility of switching off the robot in specific situations (P=.01).
conclusionsOur study revealed a generally positive attitude of future doctors and nurses toward assistive robots, which can have an impact on their acceptance by older adults. In the future, medical professionals could help their patients to choose the right robots (and necessary functions) that are best suited to their needs. However, this would require expanding the curriculum to include the issues of gerontechnology.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.