Evidence map›Paper›PMID 28550019›Full record

ArticleBMJ open2017

Measuring ability to assess claims about treatment effects: a latent trait analysis of items from the 'Claim Evaluation Tools' database using Rasch modelling.

Astrid Austvoll-Dahlgren, Øystein Guttersrud, Allen Nsangi, Daniel Semakula, Andrew D Oxman, IHC Group

Open access · goldAbstract readValidation Study
In one paragraph

Article in BMJ open, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
2.4field-weighted citation impact, top 10% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

21 citing papers in PubMed, 38 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 3 institutions in 2 countries.

Astrid Austvoll-DahlgrenNorwegian Institute of Public Health, Oslo, Norway.
Øystein GuttersrudNorwegian Centre for Science Education, University of Oslo, Oslo, Norway.
Allen NsangiMakerere University College of Health Sciences, Kampala, Uganda.
Daniel SemakulaMakerere University College of Health Sciences, Kampala, Uganda.
Andrew D OxmanNorwegian Institute of Public Health, Oslo, Norway.
IHC Group
Makerere University · UGNorwegian Institute of Public Health · NOUniversity of Oslo · NO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe Claim Evaluation Tools database contains multiple-choice items for measuring people's ability to apply the key concepts they need to know to be able to assess treatment claims. We assessed items from the database using Rasch analysis to develop an outcome measure to be used in two randomised trials in Uganda. Rasch analysis is a form of psychometric testing relying on Item Response Theory. It is a dynamic way of developing outcome measures that are valid and reliable.

objectivesTo assess the validity, reliability and responsiveness of 88 items addressing 22 key concepts using Rasch analysis.

participantsWe administrated four sets of multiple-choice items in English to 1114 people in Uganda and Norway, of which 685 were children and 429 were adults (including 171 health professionals). We scored all items dichotomously. We explored summary and individual fit statistics using the RUMM2030 analysis package. We used SPSS to perform distractor analysis.

resultsMost items conformed well to the Rasch model, but some items needed revision. Overall, the four item sets had satisfactory reliability. We did not identify significant response dependence between any pairs of items and, overall, the magnitude of multidimensionality in the data was acceptable. The items had a high level of difficulty.

conclusionMost of the items conformed well to the Rasch model's expectations. Following revision of some items, we concluded that most of the items were suitable for use in an outcome measure for evaluating the ability of children or adults to assess treatment claims.

Indexed as

Databases, FactualMedical InformaticsModels, StatisticalAdultChildChoice BehaviorComprehensionEvidence-Based PracticeFemaleHealth Care SurveysHealth LiteracyHumansMaleNorwayPsychometricsQualitative Researchevidence based medicinehealth literacymultiple-choiceoutcome measurementpatient educationRasch analysisshared decision making

Identifiers

PMID28550019
PMCPMC5777469
OpenAlexW2618983126

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.