Needs and preferences for technology among Chinese family caregivers of persons with dementia: A pilot study
Bibliographic record
Abstract
BACKGROUND: Dementia is a major public health concern associated with significant caregiver demands and there are technologies available to assist with caregiving. However, there is a paucity of information on caregiver needs and preferences for these technologies, especially among Chinese family caregivers of persons with dementia in Canada. OBJECTIVE: The purpose of this study was to examine the technology needs and preferences of Chinese family caregivers of persons with dementia with a sex and gender lens in Canada. METHODS: A cross-sectional survey was conducted through the Yee Hong Centre of Geriatric Care in Canada. Frequency distributions, Wilcoxon Signed Ranks Test, and multiple regression analyses were performed. RESULTS: The majority of the 40 respondents did not demonstrate knowledge about technology to assist with caregiving. Ease of installation and reliability were identified as the most important features when installing and using technology respectively. Respondents demonstrated a positive attitude towards the use of technology during caregiving. Controlling for age, female respondents were significantly more receptive of technology. CONCLUSIONS: Our findings suggest a need to increase awareness of technology options to assist caregiving in this ethnic population and provide insight for future development and marketing of technology that better align with caregivers' needs.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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".