Technology-based group exercise interventions for people living with dementia or mild cognitive impairment: a scoping review protocol
Bibliographic record
Abstract
INTRODUCTION: More than 50 million people worldwide are living with dementia in 2020, and this number is expected to double every 20 years. Physical exercise is a growing field in non-pharmacological interventions for dementia care. Due to public health measures during the COVID-19 pandemic, more people have considered adapting to technology-based exercise via digital devices. This scoping review will explore evidence relating to the use of technology-based group exercise by people with dementia or mild cognitive impairment. METHODS AND ANALYSIS: This review will follow the Joanna Briggs Institute scoping review methodology to review literature published between June and December 2021. This review is designed to identify existing types of technology-based group exercise interventions for people with dementia. The review will provide a synthesis of current evidence on the outcome and impacts of technology-based group exercise. The context of this review will include homes, assisted living facilities and memory care services but exclude hospitals. The review will include a three-step search strategy: (a) identify keywords from MEDLINE and Embase, (b) search using the identified keywords in databases (MEDLINE/PubMed, CINAHL, Web of Science, Embase, Cochrane Library, PsychInfo and Google) and (c) review references from included studies to identify additional studies. Only studies in English will be included. Four researchers will independently assess titles and abstracts and then review the full text of the selected articles, applying the inclusion criteria. The extracted data will be presented in tables and summarised narratively. ETHICS AND DISSEMINATION: Scoping review data will be collected from publicly available articles; research ethics approval is not required. The findings will be disseminated to healthcare practitioners and the public through a peer-reviewed publication and conference presentations.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.068 | 0.051 |
| Meta-epidemiology (narrow) | 0.005 | 0.006 |
| Meta-epidemiology (broad) | 0.014 | 0.013 |
| Bibliometrics | 0.015 | 0.013 |
| Science and technology studies | 0.005 | 0.005 |
| Scholarly communication | 0.008 | 0.009 |
| Open science | 0.006 | 0.007 |
| Research integrity | 0.009 | 0.007 |
| Insufficient payload (model declined to judge) | 0.091 | 0.019 |
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 source (direct Gemma or distilled Codex), 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".