Evidence map›Paper›PMID 37427359›Full record

ArticleActa stomatologica Croatica2023

Psychometric Properties of the 14 Items Oral Health Impact Profile Questionnaire Translated into the Macedonian language.

Nikolina Kenig, Kalina Sotiroska Ivanoska, Julijana Nikolovska

Abstract read
In one paragraph

Article in Acta stomatologica Croatica, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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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

3 citing papers in PubMed.

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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

3 authors.

Nikolina KenigInstitute of Psychology, Faculty of Philosophy, Ss. Cyril and Methodius University in Skopje, North Macedonia.ORCID https://orcid.org/0000-0003-0633-1735
Kalina Sotiroska IvanoskaInstitute of Psychology, Faculty of Philosophy, Ss. Cyril and Methodius University in Skopje, North Macedonia.ORCID https://orcid.org/0000-0003-4904-0153
Julijana NikolovskaFull Professor, Department of dental prosthetics, Faculty of Dentistry, Ss. Cyril and Methodius University in Skopje, North Macedonia.ORCID https://orcid.org/0000-0002-0503-4731

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Due to the consideration that oral/dental health is an important part of general health, well-being, and an individual's quality of life, the need for appropriate instruments assessing oral health-related quality of life is emphasized. This study aimed to evaluate the psychometric properties of the Oral health-related quality of life questionnaire consisting of 14 questions among the Macedonian language-speaking adults (OHIP-MAC 14). Material and methods: A total of 270 adults participated in the study. The reliability of the questionnaire was examined by testing the internal consistency and reproducibility (test-retest). The responsiveness of the instrument was tested by computing the pre-intervention and post-intervention OHIP-14 scores using the paired t-test followed by the determination of the effect-size. The two aspects of the construct validity were evaluated: concurrent validity and discriminative validity. Results: A concurrent validity analysis confirmed that the instrument performed well. Discriminative validity also confirmed good psychometric properties (P<0.01). The ICC statistics and the Cronbach alpha coefficients indicated the appropriate reliability of the instrument for the included groups of participants. The responsiveness of the questionnaire was also acceptable (P<0.01) demonstrating the large effect-size of 1.43. Conclusion: The OHIP 14 MAC showed acceptable psychometric properties and can be recommended as a valuable instrument in assessments of the Oral health-related quality of life in the Republic of North Macedonia.

Indexed as

MeSH Terms: Dental Health SurveysOHIP-14OHRQoLOral HealthPsychometric PropertiesQuality of LifeRepublic of North Macedonia

Identifiers

PMID37427359
PMCPMC10323931

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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.