Impact of Artificial Intelligence on Nursing Students’ Attitudes toward Older Adults: A Pre/Post-Study
Abstract
:1. Introduction
2. Materials and Methods
2.1. Theoretical Framework
2.2. Design
2.3. Sample Demographics
2.4. Inclusion and Exclusion Criteria
2.5. Instrument
2.6. Statistical Methods
2.7. Intervention
2.8. Ethical Aspects
3. Results
3.1. Sociodemographic of Sample
3.2. Instrument Reliability
3.3. Mean Differences of Scores
4. Discussion
5. Limitations
6. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Public Involvement Statement
Guidelines and Standards Statement
Use of Artificial Intelligence
Conflicts of Interest
References
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Phase One: Pre-AIED Event Activities
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Phase Two: AIED Event Activities
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Phase Three: Post-AIED Activities
|
Category | Frequency | Percentage |
---|---|---|
n = 151 | ||
Gender | ||
Male | 15 | 10% |
Female | 136 | 90% |
Age Range | ||
18–24 | 74 | 49% |
25–34 | 59 | 39% |
35–44 | 11 | 7% |
45–54 | 6 | 4% |
55–64 | 1 | 1% |
65+ | 0 | 0% |
Mean | 27.7 | |
Median | 25 | |
Standard Deviation | 7.5 |
Question | Pre-Intervention Mean (SD) | Post-Intervention Mean (SD) |
---|---|---|
Most old people are pleasant to be with | 3.95 (0.90) | 4.26 (0.76) |
The federal government should reallocate money from Medicare to research on AIDS or pediatric diseases | 3.45 (1.13) | 3.52 (1.20) |
If I have the choice, I would rather see younger patients than elderly ones | 2.65 (1.23) | 2.72 (1.14) |
It is society’s responsibility to provide care for its elderly persons | 4.15 (0.86) | 4.29 (0.80) |
Medicare for old people uses up too much human and material resources | 4.21 (0.97) | 4.29 (0.87) |
As people grow older, they become less organized and more confused | 3.06 (1.12) | 3.45 (1.07) |
Elderly patients tend to be more appreciative of the medical care I provide than are younger patients | 3.28 (0.97) | 3.38 (0.96) |
Taking a medical history from elderly patients is frequently an ordeal | 3.53 (0.99) | 3.50 (1.14) |
I tend to pay more attention and have more sympathy towards my elderly patients than my younger patients | 2.86 (0.97) | 2.97 (0.92) |
Old people in general do not contribute much to society | 4.47 (0.76) | 4.50 (0.67) |
Treatment of chronically ill old patients is hopeless | 4.55 (0.69) | 4.60 (0.66) |
Old persons don’t contribute their fair share towards paying for their health care | 4.25 (0.84) | 4.33 (0.85) |
In general, old people act too slow for modern society | 4.27 (0.88) | 4.26 (0.93) |
It is interesting listening to old people’s accounts of their past experiences | 4.71 (0.58) | 4.68 (0.61) |
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© 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
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White, A.; Maguire, M.B.; Brown, A.; Keen, D. Impact of Artificial Intelligence on Nursing Students’ Attitudes toward Older Adults: A Pre/Post-Study. Nurs. Rep. 2024, 14, 1129-1135. https://doi.org/10.3390/nursrep14020085
White A, Maguire MB, Brown A, Keen D. Impact of Artificial Intelligence on Nursing Students’ Attitudes toward Older Adults: A Pre/Post-Study. Nursing Reports. 2024; 14(2):1129-1135. https://doi.org/10.3390/nursrep14020085
Chicago/Turabian StyleWhite, Anne, Mary Beth Maguire, Austin Brown, and Diane Keen. 2024. "Impact of Artificial Intelligence on Nursing Students’ Attitudes toward Older Adults: A Pre/Post-Study" Nursing Reports 14, no. 2: 1129-1135. https://doi.org/10.3390/nursrep14020085