Increasing access to pain management: Feasibility of a self-compassion psychoeducational website using a minimally monitored delivery model
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
Self-compassion has been associated with several positive pain-related outcomes. However, little is known about the impact of targeting self-compassion on pain management. This study assesses the feasibility of a self-compassion psychoeducation website among adults with chronic pain using a minimally monitored delivery model. Participants (N = 26) were recruited online and a single group pre-test and post-test design with a 3-month follow-up was used. The intervention was a 6-week program comprised of a video, writing exercises, guided meditations and automated emails. Feasibility outcome measures were grouped into the following categories: study engagement (ease of recruitment, attrition, adherence, satisfaction), pain vulnerability variables (intensity, interference, catastrophizing, mood) and protective pain variables (self-compassion, resilience and acceptance). Challenges pertaining to uptake were encountered. Attrition was higher (n = 11/26; 42%) and adherence to the full treatment protocol lower (n = 6/26; 23%) than expected. Treatment satisfaction was high with nearly all study completers (93%) reporting that they would recommend the program to a friend. Intent-to-treat mixed effects models showed a significant and large increase of self-compassion (d = 0.92) and a significant impact on several outcome variables (ds from 0.24 to 1.15) with most gains either maintained or increased at follow-up. The recruitment strategy may have negatively impacted participant engagement. Methodological modifications are proposed to improve the feasibility of the program. Minimally monitored web-based programs targeting self-compassion may benefit adults with chronic pain who may have limited access to traditional psychological services or who prefer online-based interventions.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.011 | 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