Digital tools for delivery of dementia education for health-care providers: a systematic review
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
Continuing education on dementia for health-care providers has been shown to have positive effects on diagnostic confidence, knowledge, and care management. Technological approaches to educational delivery have been found to have comparable effects in terms of quality and efficacy. The purpose of the systematic review was to compose and present an evidence base for technology-delivered dementia education for health-care providers. The review used PRISMA guidelines and Cochrane methods focusing on studies with a pre- and post-intervention evaluation. Technology-based delivery of dementia education was broadly defined as any technology-based medium delivered in real time or asynchronously. Ten studies were identified and analyzed using content analysis. The review revealed positive outcomes post-intervention, for dementia knowledge, readiness to change, receptiveness to training, communication skills, and self-efficacy. Studies were rated as medium to high quality on a scale for measurement of published data in research, and there was generally an unknown risk of bias due to a lack of a control group in most studies (N = 7). The findings revealed benefits of digitally-based, asynchronous continuing education for health-care providers, which allow schedule flexibility and the ability to deliver remotely. Findings also revealed benefits of presentations using a variety of interactive educational materials via videos, voice recordings, textual medium and online discussion groups. Suggestions for intervention improvements include tailoring training for the specific needs and knowledge levels of health-care practitioners and using validated scales to measure outcomes.
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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| 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 it