Evidence map›Paper›PMID 40096983›Full record

ArticleSaudi medical journal2025

Validity and reliability of the Arabic version of topical corticosteroid phobia (TOPICOP

Hashem M Al-Dujaily, Huda A Hussein, Bahaa Abdelrahim, Mohammad Shawer, Ahmad Mehyar, Baha' Aljeradat, Dima Batarseh, Sarah Khraim, Amjad Abdeen, Noor Almaani

Abstract readValidation Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Saudi medical journal, 2025. 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

10 authors.

Hashem M Al-DujailyFrom the School of Medicine (Al-Dujaily, Abdelrahim, Shawer, Mehyar, Aljeradat, Batarseh, Khraim, Abdeen); from the Department of Dermatology (Hussein, Almaani), School of Medicine, University of Jordan, Amman, Jordan.
Huda A HusseinFrom the School of Medicine (Al-Dujaily, Abdelrahim, Shawer, Mehyar, Aljeradat, Batarseh, Khraim, Abdeen); from the Department of Dermatology (Hussein, Almaani), School of Medicine, University of Jordan, Amman, Jordan.
Bahaa AbdelrahimFrom the School of Medicine (Al-Dujaily, Abdelrahim, Shawer, Mehyar, Aljeradat, Batarseh, Khraim, Abdeen); from the Department of Dermatology (Hussein, Almaani), School of Medicine, University of Jordan, Amman, Jordan.
Mohammad ShawerFrom the School of Medicine (Al-Dujaily, Abdelrahim, Shawer, Mehyar, Aljeradat, Batarseh, Khraim, Abdeen); from the Department of Dermatology (Hussein, Almaani), School of Medicine, University of Jordan, Amman, Jordan.
Ahmad MehyarFrom the School of Medicine (Al-Dujaily, Abdelrahim, Shawer, Mehyar, Aljeradat, Batarseh, Khraim, Abdeen); from the Department of Dermatology (Hussein, Almaani), School of Medicine, University of Jordan, Amman, Jordan.
Baha' AljeradatFrom the School of Medicine (Al-Dujaily, Abdelrahim, Shawer, Mehyar, Aljeradat, Batarseh, Khraim, Abdeen); from the Department of Dermatology (Hussein, Almaani), School of Medicine, University of Jordan, Amman, Jordan.
Dima BatarsehFrom the School of Medicine (Al-Dujaily, Abdelrahim, Shawer, Mehyar, Aljeradat, Batarseh, Khraim, Abdeen); from the Department of Dermatology (Hussein, Almaani), School of Medicine, University of Jordan, Amman, Jordan.
Sarah KhraimFrom the School of Medicine (Al-Dujaily, Abdelrahim, Shawer, Mehyar, Aljeradat, Batarseh, Khraim, Abdeen); from the Department of Dermatology (Hussein, Almaani), School of Medicine, University of Jordan, Amman, Jordan.
Amjad AbdeenFrom the School of Medicine (Al-Dujaily, Abdelrahim, Shawer, Mehyar, Aljeradat, Batarseh, Khraim, Abdeen); from the Department of Dermatology (Hussein, Almaani), School of Medicine, University of Jordan, Amman, Jordan.
Noor AlmaaniFrom the School of Medicine (Al-Dujaily, Abdelrahim, Shawer, Mehyar, Aljeradat, Batarseh, Khraim, Abdeen); from the Department of Dermatology (Hussein, Almaani), School of Medicine, University of Jordan, Amman, Jordan.ORCID https://orcid.org/0000-0003-2014-3132

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo translate the topical corticosteroid phobia (TOPICOP) scale into Arabic and assess its validity, reliability, and feasibility.

methodsA cross-sectional study was carried out at Jordan University Hospital, Amman, Jordan, in 2 phases. Phase one involved translation of the TOPICOP scale into Arabic using a 2-step process, followed by pilot testing and content validation by 6 bilingual dermatologists. Phase 2 involved subsequent validation and feasibility testing on a larger sample of 145 participants. To assess reliability, the scale was administered twice for test-retest analysis.

resultsCalculated content validity indices revealed satisfactory values, establishing content validation of the Arabic version. Cronbach's alpha coefficient indicated reliable internal consistency (0.757). Test-retest reliability yielded a Pearson's correlation coefficient of 0.775 (

conclusionThe Arabic TOPICOP scale is a valid, reliable, and effective tool for assessing corticosteroid phobia in Arabic-speaking populations. Its implementation can enhance understanding of patient adherence and improve eczema treatment outcomes, benefiting healthcare providers, including dermatologists, general practitioners, and family physicians.

Indexed as

Adrenal Cortex HormonesPhobic DisordersAdministration, TopicalAdultCross-Sectional StudiesFemaleHumansJordanLanguageMaleMiddle AgedReproducibility of ResultsSurveys and QuestionnairesTranslationsYoung AdultAdrenal Cortex Hormonesatopic dermatitiscorticosteroidsTOPICOPvalidity

Identifiers

PMID40096983
PMCPMC11918678

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.