Virtual Motivational Interviewing (VIMINT) to support physical activity: Experiences of older adults and counsellors
Bibliographic record
Abstract
The aim of this study was to explore the experiences of older adults and counsellors involved in virtual motivational interviewing (MI). This study was part of the Virtual Motivational INTerviewing (VIMINT) feasibility trial of virtual MI for physical activity in older adults. A descriptive qualitative design utilized content analysis. Seven older adults and three counsellors were interviewed. Four categories were developed: (i) Benefits and limitations of using technology (ii) Relationships between older adults and counsellors (iii) MI skills and spirit and (iv) Effects of virtual MI. Older adults and counsellors reported that receiving/delivering MI virtually was convenient and flexible. They described reduced non-verbal communication in virtual MI. Virtual MI facilitates interpersonal relationships, and counsellors reported that MI skills and spirit can be applied virtually. This study showed that virtual MI offers potential benefits with some limitations. The findings could inform future research involving virtual delivery of MI.
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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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".