Evidence map›Paper›PMID 31221877›Full record

ArticleBMJ open2019

Functional health literacy in a population-based sample in Florence: a cross-sectional study using the Newest Vital Sign.

Guglielmo Bonaccorsi, Vieri Lastrucci, Virginia Vettori, Chiara Lorini, Florence Health Literacy Research Group

Open access · goldAbstract readValidation Study
In one paragraph

Article in BMJ open, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
6.6field-weighted citation impact, top 4% 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

19 citing papers in PubMed, 1 synthesis or guideline pooled it, 24 citations in OpenAlex.

  1. Pooled it
  2. Randomized controlled trial on the efficacy of audio-visual health educational materials on CPAP adherence: the AHEAD trial.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2022
    Trial
  3. Comprehension of an artificial intelligence-generated discharge letter versus a traditional discharge letter: two controlled quasi-experimental parallel-group studies.International journal for quality in health care : journal of the International Society for Quality in Health Care · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Health literacy in Mediterranean general population.Journal of preventive medicine and hygiene · 2022
    Observational
  8. Article
  9. Article
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  11. Article
  12. Article
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  14. Article
  15. Article
  16. Article
  17. Article
  18. Health Literacy among Non-Familial Caregivers of Older Adults: A Study Conducted in Tuscany (Italy).International journal of environmental research and public health · 2019
    Article
  19. Article
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 at 1 institution in 1 country.

Guglielmo BonaccorsiDepartment of Health Sciences, University of Florence, Florence, Italy.
Vieri LastrucciDepartment of Health Sciences, University of Florence, Florence, Italy.
Virginia VettoriDepartment of Health Sciences, University of Florence, Florence, Italy.
Chiara LoriniDepartment of Health Sciences, University of Florence, Florence, Italy.
Florence Health Literacy Research Group
University of Florence · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo assess the level of functional health literacy (HL) and its antecedents and consequences in an adult population-based sample, using the Italian version of Newest Vital Sign (NVS-IT).

designCross-sectional study.

settingGeneral population.

participants984 people were randomly selected from the resident registers of 11 general practitioners; a total of 452 (46.2%) of the selected people completed the study. Inclusion criteria were the following: 18-69 years of age and Italian speaking. Exclusion criteria included cognitive impairment, severe psychiatric diseases and end-stage diseases. OUTCOME MEASURES: HL levels as assessed by the NVS-IT and the following potential HL predictors and consequences were assessed using logistic regression models: sociodemographic characteristics, body mass index, presence of long-term illnesses, self-reported health status, health services use in the last 12 months.

resultsHigh likelihood of limited HL, possibility of limited HL and adequate HL were found in 11.5%, 24.6% and 63.9% of the sample, respectively. The results of the multivariate logistic model for the antecedents showed that the risk of having high likelihood or possibility of limited HL levels increases with age (OR 1.07, 95% CI 1.05 to 1.09), lower educational level (OR 4.03; 95% CI 3.41 to 7.49) and with worse financial situation (OR 1.64; 95% CI 1.17 to 2.63). As far as health outcomes are concerned, HL resulted to be positively associated with self-reported health status (OR 2.25, 95% CI 1.75 to 2.75).

conclusionsFindings show a good level of functional HL in the population. However, older, less educated and poorer population groups showed to have a higher likelihood of suffering from limited or inadequate HL. Efforts should be made to design and implement public health policies and interventions tailored to different HL levels. TRIAL REGISTRATION NUMBER: CEAVC:10113.

Indexed as

Health Knowledge, Attitudes, PracticeHealth LiteracySurveys and QuestionnairesAdolescentAdultAgedCross-Sectional StudiesFemaleHumansItalyLogistic ModelsMaleMiddle AgedMultivariate AnalysisReproducibility of ResultsTranslatingantecedents and consequencesfunctional health literacynewest vital signpopulation-based samplepublic healthtelephone interview

Identifiers

PMID31221877
PMCPMC6589023
OpenAlexW2950788028

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.