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Record W2068352248 · doi:10.1186/s13104-015-1008-0

Seniors’ perspectives on care: a case study of the Alex Seniors health clinic, Calgary

2015· article· en· W2068352248 on OpenAlexafffundabout
Marta Shaw, Candace Rypien, Neil Drummond, Patricia Harasym, Lara Nixon

Bibliographic record

VenueBMC Research Notes · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicHealth disparities and outcomes
Canadian institutionsUniversity of AlbertaUniversity of CalgaryHealth Sciences Centre
FundersUniversity of Calgary
KeywordsAutonomyMultidisciplinary approachMedicineNursingHealth careIndependence (probability theory)GerontologyFamily medicineSociology

Abstract

fetched live from OpenAlex

BACKGROUND: Primary care initiatives face an imperative to not only reduce barriers to care for their patients but also to uniquely accommodate the complex needs of at-risk patient populations. Patient-centered multidisciplinary care team models for primary care, like the Alex Seniors Clinic, are one approach for providing comprehensive care for marginalized seniors. The purpose of this qualitative study was to explore patient perspectives on the responsiveness of the Alex Seniors Clinic to their stated health needs. RESULTS: Themes reflected participants' perspectives on factors impacting their health needs as vulnerable seniors as well as on the measures that the Alex Seniors Clinic has taken to meet those needs. Factors impacting health included: the nature of their relationships to the physical environment in which they lived, the nature of the relationships they had to others in that environment, and independence and autonomy. Participants identified accessibility, respect and support, and advocacy as the ways in which the clinic was working to address those health needs. CONCLUSIONS: While respect and support, as well as advocacy, effectively addressed some patient needs, participants felt that accessibility problems continue to be health-related barriers for clinic patients. This may be due to the fact that issues of accessibility reflect larger community and social problems. Nevertheless, it is only through engaging the patient community for input on clinic approaches that an understanding can be gained of how closely a clinic's care goals are currently aligning with patient perspectives of the care and services they receive.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.007
metaresearch head score (Gemma)0.008
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.327
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.367
GPT teacher head0.547
Teacher spread0.180 · 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 teacher head, not a consensus.

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

Citations5
Published2015
Admission routes3
Has abstractyes

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