Evidence map›Paper›PMID 35270207›Full record

ArticleInternational journal of environmental research and public health2022

The 17-Item Computer Vision Symptom Scale Questionnaire (CVSS17): Translation, Validation and Reliability of the Italian Version.

Gemma Caterina Maria Rossi, Federica Bettio, Mariano González-Pérez, Aba Briola, Gemma Ludovica Maria Pasinetti, Luigia Scudeller

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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

  1. Pooled it
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  4. 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

6 authors.

Gemma Caterina Maria RossiSurgical Sciences Department, UOC Oculistica, University Eye Clinic, Fondazione IRCCS Policlinico S. Matteo, 27100 Pavia, Italy.ORCID 0000-0003-3519-2420
Federica BettioSurgical Sciences Department, UOC Oculistica, University Eye Clinic, Fondazione IRCCS Policlinico S. Matteo, 27100 Pavia, Italy.
Mariano González-PérezFaculty of Optics and Optometry, Universidad Complutense de Madrid, 28001 Madrid, Spain.
Aba BriolaSurgical Sciences Department, UOC Oculistica, University Eye Clinic, Fondazione IRCCS Policlinico S. Matteo, 27100 Pavia, Italy.
Gemma Ludovica Maria PasinettiLiceo Ugo Foscolo, 27100 Pavia, Italy.
Luigia ScudellerResearch and Innovation Unit, IRCCS Azienda Ospedaliero-Universitaria di Bologna, 40121 Bologna, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background. To validate the 17-item Computer Vision Symptom Scale questionnaire (CVSS17) in Italian. Methods. Cross-sectional validation study on video terminal (VDT) users and a reference sample of subjects not working at a VDT (control group), cognitively able to respond to a health status interview. The Italian self-administered version of the CVSS17 questionnaire was administered to all participants. The reliability and validity of the Italian translation of the CVSS17 were tested using standard statistical methods for questionnaire validation. The Rasch analysis was performed as well. Results. A total of 216 subjects were enrolled. Concerning the reliability, the Cronbach’s alpha coefficient was 0.925 (from 0.917 to 0.924), and the test−retest stability was 0.91 (<0.001). Concerning the validity, the control group had significantly better scores, and there were good correlations between responses to the CVSS17 and analogous domains of the GSS. Conclusion. The Italian version of the CVSS17 has shown psychometric properties comparable to those of the Spanish version, having good validity, discriminatory power, internal consistency and reliability. The questionnaire is a specific measure of vision-related quality of life in Italian-speaking VDT workers and can be used both in clinical practice and for research purposes.

Indexed as

ComputersQuality of LifeCross-Sectional StudiesHumansReproducibility of ResultsSurveys and Questionnairesasthenopiacomputer vision symptom scale questionnairecomputer vision syndromeCOVID-19CVSS17dry eyeocular surfaceocular surface diseasequality of lifeVDTvideo display terminal workers

Identifiers

PMID35270207
PMCPMC8909352

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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.