Evidence map›Paper›PMID 38375351›Full record

ArticlePEC innovation2024

Adaptation of a health literacy screener for computerized, self-administered use by U.S. adults.

Olivia J Lindly, Taylor A Wahl, Noa M Stotts, Amy M Shui

Abstract read
In one paragraph

Article in PEC innovation, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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

1 citing paper in PubMed.

  1. 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

4 authors.

Olivia J LindlyDepartment of Health Sciences, Northern Arizona University, USA.
Taylor A WahlDepartment of Health Sciences, Northern Arizona University, USA.
Noa M StottsDepartment of Biological Sciences, Northern Arizona University, USA.
Amy M ShuiMassachusetts General Hospital Biostatistics Center, USA.

Funding

SSCIMA: Integrating Analysis of Socio-economic Sub-population Dynamics to Improve Spatial Models of Infectious DiseaseU54MD012388 · NIMHD · NORTHERN ARIZONA UNIVERSITY · PI Samantha Jane Sabo · 2017 to 2026
$49.7M
NIMHD NIH HHS U54 MD012388
6 · The paper itself

Abstract

Objective: Health literacy is a critical health determinant, for which few computerized, self-administered assessments exist. This study adapted and tested the reliability of the Newest Vital Sign© (NVS) as a computerized, self-administered health literacy screener. Methods: Phase one involved 33 participants to create response options for a computerized, self-administered NVS (C-NVS). Phase two was a randomized crossover trial to test the consistency of C-NVS and original, interviewer-administered NVS (I-NVS) scores in 89 participants. Results: Linear mixed-effects regression model results showed a significant carryover effect ( Conclusion and innovation: Findings suggest learning can occur when health literacy screeners are administered more than once in less than a month's time and computerized, self-administered health literacy screeners may produce ceiling effects. A universal precautions approach to health literacy therefore remains germane.

Indexed as

AdultsCrossover trialHealth literacyRuralSafety net

Identifiers

PMID38375351
PMCPMC10875223

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.