Community living older adults described using medical, collaborative, and self agency models for asthma self management
Bibliographic record
Abstract
Koch T, Jenkin P, Kralik D. Chronic illness self-management: locating the ‘self’. J Adv Nurs 2004;48:484–92.[OpenUrl][1][CrossRef][2][PubMed][3][Web of Science][4] Q How do community living older adults with asthma describe asthma self management models? Qualitative study using indepth interviews, an open ended questionnaire, and participatory action research (PAR) groups. South Australia. 24 community living adults >60 years of age (67% women, mean age 76 y, age range 60–92 y) who had medically diagnosed asthma and were using, or had been prescribed, daily preventative medications. Data were collected using individual indepth interviews, an open ended questionnaire, and 2 PAR groups. Indepth interviews lasting about 1 hour each were held in participants’ homes, and guiding questions were used to help participants reflect on their personal asthma self management stories. Interviews were tape recorded, transcribed verbatim, and collaboratively analysed by 3 researchers. 18 patients and 6 invited partners participated in 2 PAR meetings to collaboratively develop a model that would enable self management of asthma for older … [1]: {openurl}?query=rft.jtitle%253DJournal%2Bof%2Badvanced%2Bnursing%26rft.stitle%253DJ%2BAdv%2BNurs%26rft.aulast%253DKoch%26rft.auinit1%253DT.%26rft.volume%253D48%26rft.issue%253D5%26rft.spage%253D484%26rft.epage%253D492%26rft.atitle%253DChronic%2Billness%2Bself-management%253A%2Blocating%2Bthe%2B%2527self%2527.%26rft_id%253Dinfo%253Adoi%252F10.1111%252Fj.1365-2648.2004.03237.x%26rft_id%253Dinfo%253Apmid%252F15533086%26rft.genre%253Darticle%26rft_val_fmt%253Dinfo%253Aofi%252Ffmt%253Akev%253Amtx%253Ajournal%26ctx_ver%253DZ39.88-2004%26url_ver%253DZ39.88-2004%26url_ctx_fmt%253Dinfo%253Aofi%252Ffmt%253Akev%253Amtx%253Actx [2]: /lookup/external-ref?access_num=10.1111/j.1365-2648.2004.03237.x&link_type=DOI [3]: /lookup/external-ref?access_num=15533086&link_type=MED&atom=%2Febnurs%2F8%2F4%2F127.atom [4]: /lookup/external-ref?access_num=000225369600007&link_type=ISI
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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 | 0.005 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.005 | 0.006 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 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".