Bridging the gap: Key informants’ perspectives on patient barriers in asthma and COPD self-management and possible solutions
Why this work is in the frame
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Bibliographic record
Abstract
RATIONALE: Despite the importance of self-management for asthma/chronic obstructive pulmonary disease (COPD), there is a lack of information on health care professionals’ (HCPs) perspectives of patient barriers to self-management and the possible solutions to overcome such barriers.OBJECTIVES: To assess key informants’ (HCPs, researchers, and policymakers) perspectives on the barriers that they perceived an asthma/COPD patient may be faced with and the possible solutions to address them.METHODS: Between December 2015 and April 2016, 57 potential key informants from across the globe were invited to participate in in-depth interviews. Questions included: the skills a patient would need to manage their asthma/COPD; barriers inhibiting successful self-management practices; and the actions taken to address these barriers. The data was transcribed verbatim and analyzed using thematic analysis.RESULTS: Interviews were conducted with 45 (15 male) key informants from Canada, the United States of America, the United Kingdom, and Australia. Perceived barriers to self-management included: information overload; inconsistent information; time constraints; medical jargon and reading level of materials; beliefs and attitudes about treatment; lack of patient involvement in developing materials; and memory problems and age. Six solutions were suggested: take-home materials; tailoring education; follow-up visits; promotion of questions; better communication and building relationships; and teach-back method.CONCLUSIONS: Our findings show that improvements are needed in terms of the interactions and relationships between patients and HCPs in order to fully engage patients in the use of self-management practices. Patient involvement in the development of educational materials is a key factor to ensure the applicability of health information and promote uptake.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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