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Record W2162743863 · doi:10.1136/ebn.7.4.127

Patients with heart failure had inadequate information about the disease and lacked the tools for optimal self care

2004· letter· en· W2162743863 on OpenAlex
Carol Jillings

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueEvidence-Based Nursing · 2004
Typeletter
Languageen
FieldMedicine
TopicHeart Failure Treatment and Management
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsWeb of scienceHeart failureMedicineAmbulatoryHeart diseaseInternal medicine

Abstract

fetched live from OpenAlex

Horowitz CR, Rein SB, Leventhal H. A story of maladies, misconceptions and mishaps: effective management of heart failure. Soc Sci Med 2004;58:631–43.[OpenUrl][1][CrossRef][2][PubMed][3][Web of Science][4] Q How do patients with congestive heart failure (CHF) perceive and understand the disease and self care? Grounded theory. An urban, academic, tertiary care hospital in the US. 19 patients (age range 52–89 y, 53% men) treated for CHF in the hospital, emergency department (ED), or internal medicine or cardiology clinics were identified from a database of inpatient and ambulatory encounters for CHF. Patients participated in audiotaped semistructured interviews (mean duration 50 min), which were transcribed verbatim. Questions focused on patients’ illness perspectives, self care, help seeking behaviour, attitudes toward physicians, access to care, definition of and reaction to worsening of their condition, and a detailed description of their most recent critical episode of CHF, if one occurred. Dominant themes were identified by the constant comparative method and compared with the “common sense” model of illness. 3 dominant themes emerged. (1) Inadequate knowledge of the causes, symptoms, and consequences of CHF (gaps in depth and breadth). Patients did not connect CHF or a “weak heart” to … [1]: {openurl}?query=rft.jtitle%253DSocial%2Bscience%2B%2526%2Bmedicine%26rft.stitle%253DSoc%2BSci%2BMed%26rft.aulast%253DHorowitz%26rft.auinit1%253DC.%2BR.%26rft.volume%253D58%26rft.issue%253D3%26rft.spage%253D631%26rft.epage%253D643%26rft.atitle%253DA%2Bstory%2Bof%2Bmaladies%252C%2Bmisconceptions%2Band%2Bmishaps%253A%2Beffective%2Bmanagement%2Bof%2Bheart%2Bfailure.%26rft_id%253Dinfo%253Adoi%252F10.1016%252FS0277-9536%252803%252900232-6%26rft_id%253Dinfo%253Apmid%252F14652059%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=10.1016/S0277-9536(03)00232-6&link_type=DOI [3]: /lookup/external-ref?access_num=14652059&link_type=MED&atom=%2Febnurs%2F7%2F4%2F127.atom [4]: /lookup/external-ref?access_num=000187743300017&link_type=ISI

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.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.362
Threshold uncertainty score0.839

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 communication0.0000.001
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 head0.022
GPT teacher head0.269
Teacher spread0.247 · 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