Evaluation of a dementia awareness game for health professions students in Northern Ireland: a pre-/post-test study
Bibliographic record
Abstract
BACKGROUND: Dementia is a prevalent global health issue, necessitating comprehensive education for healthcare practitioners and students. Nursing and pharmacy students, provide support across healthcare settings often working as frontline caregivers. Therefore, it is imperative to equip these students with a profound understanding of dementia. The aim of this study was to evaluate whether a serious dementia game co-designed with stakeholders, students, and people living with dementia improved the attitudes of nursing and pharmacy students. METHODS: A pretest-posttest design was used to assess the attitudes of health professions students (nursing and pharmacy) towards dementia. The Approaches to Dementia Questionnaire (ADQ) was administered before and after playing a serious Dementia Game. The ADQ measured the total score, Hope subscale, and Recognition of Personhood subscale. Matched pairs t-test was used for analysis conducted with IBM SPSS statistics 27. RESULTS: A diverse cohort of 505 participants from one university in Northern Ireland participated, with 461 matched pairs used for analysis. Both nursing and pharmacy students demonstrated a significant increase in overall dementia attitudes post-gameplay, with nursing students showing an increase from 79.69 to 83.59 and pharmacy students from 75.55 to 79.86. Subscales for Hope (Nursing = 28.77 to 31.22, Pharmacy = 26.65 to 29.20). and Recognition of Personhood also exhibited significant improvement (Nursing = 50.93 to 52.38, Pharmacy = 48.89 to 50.67). Demographic data revealed predominantly female participants, a lack of personal connections to dementia, and varied training experiences. DISCUSSION: The study highlights the efficacy of the serious Dementia Game in enhancing attitudes to dementia amongst health professions students, indicating its potential as an educational tool. The study contributes to the growing body of evidence supporting serious games and gamification in healthcare education.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".