Developing Compassionate Self Care Skills in Persons Living with HIV: a Pilot Study to Examine Mindful Awareness in Body-oriented Therapy Feasibility and Acceptability
Bibliographic record
Abstract
BACKGROUND: Self-care skills for persons living with HIV (PLWH) are needed to better cope with the common symptoms and emotional challenges of living with this chronic illness. PURPOSE: The purpose of this study was to examine the feasibility and acceptability of Mindful Awareness in Body-oriented Therapy (MABT) for individuals receiving medical management for HIV at an outpatient program. SETTING: A nonprofit outpatient day program that provided medical management to low-income individuals with HIV. RESEARCH DESIGN: A one group pre-post study design, nine participants were recruited to receive eight weekly MABT sessions of 1.25 hours each. INTERVENTION: MABT is designed to facilitate emotion regulation through teaching somatically-based self-care skills to respond to daily stressors. MAIN OUTCOME MEASURES: To assess participant characteristics and study feasibility, a battery of health questionnaires and one week of wrist actigraphy was administered pre- and postintervention. A satisfaction survey and written questionnaire was administered postintervention to assess MABT acceptability. RESULTS: The results demonstrated recruitment and retention feasibility. The sample had psychological and physical health symptoms that are characteristic of PLWH. MABT acceptability was high, and participants perceived that they learned new mind-body self-care skills that improved HIV symptoms and their ability to manage symptoms. CONCLUSION: The positive findings support a larger future study to examine MABT efficacy to improve coping with HIV symptoms among PLWH.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".