Barriers and enablers to participation in a proposed online lifestyle intervention for older adults with age-related macular degeneration
Bibliographic record
Abstract
Abstract Age-related macular degeneration (AMD) is a blinding condition associated with depression and loneliness. This facilitates unhealthy lifestyle behaviours which drives AMD progression. We developed the first online lifestyle intervention for AMD, called Movement, Interaction and Nutrition for Greater Lifestyles in the Elderly (MINGLE) to promote positive lifestyle changes, reduce loneliness and depression. This qualitative study explored enablers and barriers to participation in MINGLE for older Australians with AMD. Thirty-one participants with AMD were interviewed using a semi-structured in-depth approach. Thematic analysis revealed nine themes. Enablers to participation were: socialising and learning about AMD, motivation to improve health, program accessibility and structure. Barriers were: lack of time, unfamiliarity with technology, limited knowledge regarding holistic interventions, vision-related issues, mobility and negative perception of group interactions. Multiple factors influence the participation of AMD patients in MINGLE and these must be considered when developing and implementing the MINGLE program to maximise participation.
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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 | 0.007 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".