Video-delivered emotion-focused mindfulness therapy for late- life anxiety: study protocol for a feasibility randomized controlled trial
Bibliographic record
Abstract
BACKGROUND: The worldwide prevalence of anxiety in older adults is estimated at between 6 and 10%. In Canada, adults 65 and older experience anxiety at a rate of 6.4%, affecting more than 300,000 people. Anxiety in older adults has been linked to difficulties retaining new information and engaging in instrumental daily activities of living. Due to COVID-19 restrictions, novel methods of delivering therapy programs remotely are needed; however, data is limited. There is some evidence that older adults prefer non-pharmacological approaches for anxiety that can be delivered in the community. Emotion-focused mindfulness therapy (EFMT) is a mindfulness-based intervention that emphasizes meditation and observing thoughts and emotions as they arise. This emphasis has been demonstrated to reduce symptoms of anxiety in general populations. This study aims to evaluate the feasibility of EFMT with older adults. METHODS: This pilot feasibility randomized controlled trial will use a wait list control trial design. Due to COVID-19 restrictions, we will use telehealth delivery via Zoom rather than in-person delivery. The first 48 people to meet the eligibility criteria will be randomly allocated to either receive EFMT immediately, or in approximately 8 weeks time from enrollment (1:1 allocation ratio). Data will be collected at baseline, 8 weeks following baseline, and 16 weeks following baseline. The primary outcomes will determine the feasibility of the intervention based on recruitment, enrolment, retention, and adherence to all components of the intervention. The secondary outcome will be changes to anxiety over time. DISCUSSION: The results of this trial will determine the feasibility and potential effectiveness of video-delivered EFMT for late-life anxiety compared to no treatment. If the results are promising, a larger randomized controlled trial may be conducted. TRIAL REGISTRATION: ClinicalTrials.gov, NCT04415528 . Registered on June 4, 2020 PROTOCOL VERSION: Protocol version 2, January 2, 2021.
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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 | 0.035 | 0.027 |
| Meta-epidemiology (narrow) | 0.005 | 0.004 |
| Meta-epidemiology (broad) | 0.011 | 0.005 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.004 | 0.004 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.004 | 0.002 |
| Research integrity | 0.006 | 0.008 |
| Insufficient payload (model declined to judge) | 0.090 | 0.015 |
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".