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Record W2019406768 · doi:10.1108/ijhcqa-10-2013-0119

Library and information services: impact on patient care quality

2014· article· en· W2019406768 on OpenAlexaboutno aff
Joanne Gard Marshall, Jennifer Craft Morgan, Cheryl A. Thompson, Amber L. Wells

Bibliographic record

VenueInternational Journal of Health Care Quality Assurance · 2014
Typearticle
Languageen
FieldHealth Professions
TopicHealth Sciences Research and Education
Canadian institutionsnot available
FundersU.S. National Library of Medicine
KeywordsIntranetQuality (philosophy)Scale (ratio)MedicinePatient safetyService (business)Health careOriginalityBusinessPsychologyWorld Wide WebComputer scienceThe InternetMarketingPolitical science

Abstract

fetched live from OpenAlex

PURPOSE: The purpose of this paper is to explore library and information service impact on patient care quality. DESIGN/METHODOLOGY/APPROACH: A large-scale critical incident survey of physicians and residents at 56 library sites serving 118 hospitals in the USA and Canada. Respondents were asked to base their answers on a recent incident in which they had used library resources to search for information related to a specific clinical case. FINDINGS: Of 4,520 respondents, 75 percent said that they definitely or probably handled patient care differently using information obtained through the library. In a multivariate analysis, three summary clinical outcome measures were used as value and impact indicators: first, time saved; second, patient care changes; and third, adverse events avoided. The outcomes were examined in relation to four information access methods: first, asking librarian for assistance; second, performing search in a physical library; third, searching library's web site; or fourth, searching library resources on an institutional intranet. All library access methods had consistently positive relationships with the clinical outcomes, providing evidence that library services have a positive impact on patient care quality. ORIGINALITY/VALUE: Electronic collections and services provided by the library and the librarian contribute to patient care quality.

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

Direct model labels (unvalidated)

Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.

Model armCategoriesStudy designConfidence
gemmano category
Domain: not available · Genre: Empirical
About the Canadian research system: no · About a Canadian topic: no
Observationallow
gptno category
Domain: not available · Genre: Empirical
About the Canadian research system: no · About a Canadian topic: no
Observationallow
models agreeAgreement compares identical category sets and study designs across arms.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.303
Threshold uncertainty score0.453

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.003
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 head0.054
GPT teacher head0.510
Teacher spread0.457 · 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

Labeled directly by 2 models reading the full record.

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

Citations20
Published2014
Admission routes1
Has abstractyes

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