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Record W1515516984 · doi:10.5750/ijpcm.v2i4.314

“If she recommends it, I would have it”. A qualitative study of nonagenarians’ perspectives of their health status and healthcare

2012· article· en· W1515516984 on OpenAlexaffabout
Ross Edward Grant Upshur, Cécile M. Bensimon, James S. Westcott, Stephanie Bell, C. Shawn Tracy

Bibliographic record

Venuethe International Journal of Person-Centered Medicine · 2012
Typearticle
Languageen
FieldPsychology
TopicAging and Gerontology Research
Canadian institutionsHealth Sciences CentreUniversity of TorontoSunnybrook Health Science Centre
Fundersnot available
KeywordsHealth careQualitative researchPrimary carePopulation ageingPerceptionNursingMedicinePopulationPrimary health careFocus groupPsychologyGerontologyFamily medicineSociologyPolitical science

Abstract

fetched live from OpenAlex

In the developed world, the population is rapidly aging. Primary care physicians will be called upon to deliver person-centred care to this population. However, current models of care are poorly adapted to the needs of the very old and an adequate evidence base does not exist. We conducted a qualitative study to elicit and explore the perceptions of nonagenarians who attend a primary care clinic in Ontario, Canada. Saturation was achieved after 13 interviews. The key themes identified were, positive self-perception of health status trust in the primary care physician, fear of ageism in the healthcare system, and limits to care. The trust in the competency of the primary care physician may be misplaced given the paucity of available evidence on appropriate outcome measures in this population. Ageism should be countered by creating systems of person-centered care that focus specifically on the needs of the very old in primary care.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.013
metaresearch head score (Gemma)0.018
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.035
Threshold uncertainty score0.070

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0130.018
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0110.010
Scholarly communication0.0030.004
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.000

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.

Opus teacher head0.228
GPT teacher head0.499
Teacher spread0.271 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2012
Admission routes2
Has abstractyes

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