Effectiveness of a co‐designed technology package on perceptions of safety in community‐dwelling older adults
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
OBJECTIVES: Increasing numbers of older people are living longer, often alone, in their own homes. Services and products that enable older people to remain safely in their own homes are required. The My Smart Home project recruited 30 community-dwelling people aged 65+ to co-design a package of technology to address their individual goals for safety and security at home. The technology package, up to the value of $4000, included installation of health monitoring, communication and entertainment devices, and security alarms, with 6 hours of technology coaching. METHODS: Participants completed the Personal Wellbeing Index (PWI), the Australian Quality of Life-8 Dimensions (AQoL-8D) and the Canadian Occupational Performance Measure (COPM) at baseline, and after 4 weeks' use of the technology package. Semi-structured interviews were also used to qualitatively understand the challenges, enablers and outcomes of the project with respect to safety and security in the home. RESULTS: Significant improvements in PWI (p < 0.01), AQoL-8D (p < 0.001) and COPM for goal performance (p < 0.001) and goal satisfaction (p < 0.001) were reported. Participants also reported feeling safer and more secure in their own homes. Common barriers to adoption of technology, cost, integration with already-owned technology and lack of confidence were overcome with this technology and coaching package. CONCLUSIONS: An individualised package of technology, with coaching, that supports older people to realise their personal goals with technology resulted in improved well-being, quality of life and sense of safety and security in community-dwelling older people. Ultimately, this should support a longer and better quality of life at home.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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 it