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Record W2279287611

Development of a periodic health examination form for the frail elderly in long-term care.

2016· article· en· W2279287611 on OpenAlexaff
Henry Siu, Joy White, Myles Sergeant, Ainsley Moore, Christopher Patterson

Bibliographic record

VenuePubMed · 2016
Typearticle
Languageen
FieldMedicine
TopicHealth Promotion and Cardiovascular Prevention
Canadian institutionsMcMaster University
Fundersnot available
KeywordsFocus groupLong-term careMedicinePsychological interventionHealth careThematic analysisTracking (education)GerontologyFamily medicinePsychologyNursingQualitative research
DOInot available

Abstract

fetched live from OpenAlex

OBJECTIVE: To create an evidence-based periodic health examination (PHE) form geared to long-term care (LTC) residents. DESIGN: Two-phase study: literature review to develop a quantitative, cross-sectional, self-administered survey, and administration of the survey followed by a focus group. A PHE form for LTC residents was developed based on participants' recommendations. SETTING: Hamilton, Ont. PARTICIPANTS: A total of 106 health care professionals completed the survey; 10 LTC physicians participated in the focus group. MAIN OUTCOME MEASURES: The items deemed most important and most likely to be performed during a PHE; themes from focus group discussions. RESULTS: Respondents' top 4 most important PHE items were also the top 4 items they thought were most likely to be performed during a PHE in LTC: reviewing active health status, reviewing pain control, reviewing medications, and screening for falls. Thematic analysis from the focus group discussion generated 3 main themes: current physician perspectives on the existing annual health examination in LTC, conceptual ideas for the new PHE form, and physician perspectives on the optimization of care in LTC settings. The findings from the survey, along with the themes from the focus group, were incorporated to create a PHE form for LTC residents. CONCLUSION: The proposed PHE form emphasizes tracking a patient's functional course over time and combines evidence-based preventive health interventions and health assessments with what is clinically important for LTC.

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)0.003
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.993
Threshold uncertainty score0.139

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
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)0.0000.000

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 head0.039
GPT teacher head0.304
Teacher spread0.265 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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
Published2016
Admission routes1
Has abstractyes

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