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Record W1996073988 · doi:10.1177/0272989x10375853

Presenting the Results of Cochrane Systematic Reviews to a Consumer Audience: A Qualitative Study

2010· article· en· W1996073988 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueMedical Decision Making · 2010
Typearticle
Languageen
FieldDecision Sciences
TopicMeta-analysis and systematic reviews
Canadian institutionsCochraneUniversity of OttawaMcMaster University
Fundersnot available
KeywordsSystematic reviewMedicinePsychologyMEDLINEPolitical science

Abstract

fetched live from OpenAlex

OBJECTIVE: To develop and obtain feedback about a summary format for Cochrane reviews that is accessible to a consumer audience, without oversimplification or incorrect presentation. METHODS: We developed 3 versions of a Plain Language Summary (PLS) format of a Cochrane Systematic Review. Using a semi-structured interview guide we tested these versions among 34 members of the public in Norway, Argentina, Canada, and Australia. The authors analyzed feedback, identified problems, and generated new solutions before retesting to produce a final version of a Plain Language Summary format. RESULTS: Participants preferred results presented as words, supplemented by numbers in a table. There was a lack of understanding regarding the difference between a review and an individual study, that the effect is rarely an exact number, that evidence can be of low or high quality, and that level of quality is a separate issue from intervention effect. Participants also found it difficult to move between presentations of dichotomous and continuous outcomes. Rephrasing the introduction helped participants grasp the concept of a review. Confidence intervals were largely ignored or misunderstood. Our attempts to explain them were only partially successful. Text modifiers (''probably,'' ''may'') to convey different levels of quality were only partially understood, whereas symbols with explanations were more helpful. Participants often understood individual information elements about effect size and quality of these results, but did not always actively merge these elements. CONCLUSION: Through testing and iteration the authors identified and addressed several problems, using explanations, rephrasing, and symbols to present scientific concepts. Other problems remain, including how best to present confidence intervals and continuous outcomes. Future research should also test information elements in combination rather than in isolation. The new Plain Language Summary format is being evaluated in a randomized controlled trial.

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)0.528
metaresearch head score (Gemma)0.829
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Insufficient payload (model declined to judge)
Consensus categoriesMetaresearch, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.305
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.5280.829
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0060.001
Bibliometrics0.0000.003
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0050.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0060.003

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 head0.651
GPT teacher head0.627
Teacher spread0.024 · 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