Information and communication technologies for informal carers and paid assistants: benefits from micro-, meso-, and macro-levels
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
The aim of this study was to explore the benefits of information and communication technologies (ICT)-based services for informal carers and paid assistants of older people living in the community. We cross-case analysed the effects of twelve initiatives in the EU, the USA and Canada, based on their individual analysis documented through interviews with promoters and a literature review. We carried out the cross-case analysis following a variables-oriented strategy on seven dimensions of impact at micro-, meso- and macro-levels: the quality of life of informal carers and paid assistants, quality of life of care recipients, quality of care, care efficiency and sustainability, acceptability, and infrastructure and accessibility. ICT-based services for informal carers and paid assistants improve the quality of life of older people and their carers and access to qualified care. They also generate savings which contribute to the sustainability of the care systems. These findings constitute a first look at the benefits of the use of ICT-based services for informal carers and paid assistants. Nevertheless, more research using experimental methods is needed to demonstrate the impact of these ICT-based services at meso- and macro-levels. This would help to support policy-makers to deploy these technologies for long-term care delivery.
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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 | 0.002 | 0.000 |
| 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 | 0.001 |
| 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 it