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Record W2603537114

Patients’ perceptions on losing access to FPs

2013· article· en· W2603537114 on OpenAlexaffvenueabout
Thomas R. Freeman, Judith Belle Brown, Graham J. Reid, Moira Stewart, Amardeep Thind, Evelyn Vingilis

Bibliographic record

VenueCanadian Family Physician · 2013
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicHealthcare Policy and Management
Canadian institutionsWestern University
Fundersnot available
KeywordsAngerFeelingMedicineHealth careAbandonment (legal)Qualitative researchRespite careRemunerationLonelinessPsychosocialEmergency departmentNursingFamily medicinePsychologyPsychiatry
DOInot available

Abstract

fetched live from OpenAlex

Objective To examine the health care–related experiences of individuals who have lost their FPs. Design A qualitative design using phenomenology. Setting Southwestern Ontario. Participants Eighteen participants (9 women and 9 men, with a mean age of 48.9 years) from urban or rural areas who had lost their FPs. Methods Semistructured interviews were conducted, which were audiotaped and transcribed verbatim. An iterative approach using immersion and crystallization was employed for analysis. Main findings Participants reported having lost their FPs because of reasons specific to their physicians (eg, illness, retirement, career change) or system issues (eg, poor remuneration for FPs, cutbacks in health care leading to physician emigration). Participants described feelings of loss, abandonment, frustration, and anger related to losing their physicians. They expressed concerns about the difficulty of getting prescription medications, lack of continuity of care related to medical records, and preventive care. They faced considerable hurdles in accessing primary health care, turning to walk-in clinics and emergency departments despite concerns about quality and fragmentation of care. Some of those with chronic medical conditions prevailed upon specialists to help meet primary health care needs. Conclusion Losing access to FPs evoked a variety of strong feelings among these participants. They engaged in a number of strategies to meet their primary care needs but not without reservations. In a health care system appropriately built on primary health care, the lack of access to FPs is regarded as the loss of a basic right to 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 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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.563
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.011

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 head0.063
GPT teacher head0.262
Teacher spread0.199 · 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 designNot applicable
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

Citations3
Published2013
Admission routes3
Has abstractyes

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