Evidence map›Paper›PMID 33020080›Full record

ArticleBMJ open2020

Measuring health literacy combining performance-based and self-assessed measures: the roles of age, educational level and financial resources in predicting health literacy skills. A cross-sectional study conducted in Florence (Italy).

Chiara Lorini, Vieri Lastrucci, Diana Paolini, Guglielmo Bonaccorsi, Florence Health Literacy Research Group

Abstract read
In one paragraph

Article in BMJ open, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

29 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

5 authors.

Chiara LoriniDepartment of Health Sciences, University of Florence, Firenze, FI, Italy.
Vieri LastrucciDepartment of Health Sciences, University of Florence, Firenze, FI, Italy vieri.lastrucci@gmail.com.ORCID 0000-0003-0762-6666
Diana PaoliniDepartment of Health Sciences, University of Florence, Firenze, FI, Italy.
Guglielmo BonaccorsiDepartment of Health Sciences, University of Florence, Firenze, FI, Italy.
Florence Health Literacy Research Group

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe objective was to compare the results of performance-based and self-assessed measures of health literacy (HL) and to evaluate the contribution of their joint use in assessing some HL antecedents.

designThis was a cross-sectional study.

settingThe study was conducted on the general population in Florence (Italy).

participantsThis study is part of a larger one, where participants were randomly selected from the registries of 11 general practitioners working in the municipality of Florence. Inclusion criteria were the following: 18-69 years of age and Italian speaking. Exclusion criteria included cognitive impairment, severe psychiatric disease or end-stage disease. In this paper, 212 adults were included. OUTCOME MEASURES: HL was measured using the European Health Literacy Survey Questionnaire (HLS-EU-Q16) and the Newest Vital Sign (NVS). The HL levels obtained by means of the two measurement tools were combined into a new variable that described three different levels of HL skills: low HL skills, partial HL skills and high HL skills. Multivariate ordinal logistic regression analysis was performed to assess the predictive roles of age class, educational level and financial resources with respect to HL skills.

resultsTwenty-two per cent of the sample had high HL skills, 28.3% had low HL skills and 49.5% had partial HL skills. Educational level, age class and financial resources were significantly associated with HL skills, with OR values being higher than those obtained using the NVS or the HLS-EU-Q16 individually.

conclusionThe combination of the results obtained using the NVS and the HLS-EU-Q16 improves the understanding of HL. The new variable generated by this combination could be considered as a different way to assess HL and its multidimensional contents.

Indexed as

Health LiteracyAdultCross-Sectional StudiesEducational StatusHumansItalySurveys and Questionnairespreventive medicinepublic healthstatistics & research methods

Identifiers

PMID33020080
PMCPMC7537461

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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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.