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Record W2063130778 · doi:10.1097/ccm.0b013e318232d6c6

Quality of reporting of surveys in critical care journals

2011· review· en· W2063130778 on OpenAlex

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.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueCritical Care Medicine · 2011
Typereview
Languageen
FieldSocial Sciences
TopicSurvey Methodology and Nonresponse
Canadian institutionsMcMaster University
FundersCanadian Institutes of Health Research
KeywordsInterquartile rangeMedicineData extractionFamily medicineCLARITYMEDLINESurgery

Abstract

fetched live from OpenAlex

OBJECTIVE: Adequate reporting is needed to judge methodologic quality and assess the risk of bias of surveys. The objective of this study is to describe the methodology and quality of reporting of surveys published in five critical care journals. DATA SOURCES: All issues (1996-2009) of the American Journal of Respiratory and Critical Care Medicine, Critical Care, Critical Care Medicine, Intensive Care Medicine, and Pediatric Critical Care Medicine. STUDY SELECTION: Two reviewers hand-searched all issues in duplicate. We included publications of self-administered questionnaires of health professionals and excluded surveys that were part of a multi-method study or measured the effect of an intervention. DATA EXTRACTION: Data were abstracted in duplicate. DATA SYNTHESIS: We included 151 surveys. The frequency of survey publication increased at an average rate of 0.38 surveys per 1000 citations per year from 1996-2009 (p for trend = 0.001). The median number of respondents and reported response rates were 217 (interquartile range 90 to 402) and 63.3% (interquartile range 45.0% to 81.0%), respectively. Surveys originated predominantly from North America (United States [40.4%] and Canada [18.5%]). Surveys most frequently examined stated practice (78.8%), attitudes or opinions (60.3%), and less frequently knowledge (9.9%). The frequency of reporting on the survey design and methods were: 1) instrument development: domains (59.1%), item generation (33.1%), item reduction (12.6%); 2) instrument testing: pretesting or pilot testing (36.2%) and assessments of clarity (25.2%) or clinical sensibility (15.7%); and 3) clinimetric properties: qualitative or quantitative description of at least one of face, content, construct validity, intra- or inter-rater reliability, or consistency (28.5%). The reporting of five key elements of survey design and conduct did not significantly change over time. CONCLUSIONS: Surveys, primarily conducted in North America and focused on self-reported practice, are increasingly published in highly cited critical care journals. More uniform and comprehensive reporting will facilitate assessment of methodologic 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.

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)0.197
metaresearch head score (Gemma)0.748
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesMetaresearch
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.874
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.1970.748
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0040.000
Bibliometrics0.0000.001
Science and technology studies0.0000.004
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.819
GPT teacher head0.682
Teacher spread0.137 · 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