Evidence map›Paper›PMID 35945534›Full record

ArticleHealth research policy and systems2022

Development of the Arabic Health Measures database: a bibliometric analysis of Arabic health-related measures.

Nada M Albawardi, Quratulain Shaikh, Wejdan Alahaideb, Maryam Alamasi, Doaa Aljasser, Lama Alrasheed, Sultanah H Alsulaiman, Abdullah F Alghannam

Abstract read
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Article in Health research policy and systems, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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0cells of the map it votes in
2citing papers in PubMed
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1 · What the graph read from it

What it found

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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

2 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

8 authors.

Nada M AlbawardiEpidemiology and Biostatistics Section, Health Sciences Research Center, Princess Nourah Bint Abdulrahman University, Riyadh, Saudi Arabia.
Quratulain ShaikhEpidemiology Department, Indus Hospital Research Center, The Indus Hospital, Karachi, Pakistan.
Wejdan AlahaidebEpidemiology and Biostatistics Section, Health Sciences Research Center, Princess Nourah Bint Abdulrahman University, Riyadh, Saudi Arabia.ORCID http://orcid.org/0000-0001-7290-6969
Maryam AlamasiEpidemiology and Biostatistics Section, Health Sciences Research Center, Princess Nourah Bint Abdulrahman University, Riyadh, Saudi Arabia.ORCID http://orcid.org/0000-0003-2170-3787
Doaa AljasserEpidemiology and Biostatistics Section, Health Sciences Research Center, Princess Nourah Bint Abdulrahman University, Riyadh, Saudi Arabia.ORCID http://orcid.org/0000-0002-1647-6383
Lama AlrasheedEpidemiology and Biostatistics Section, Health Sciences Research Center, Princess Nourah Bint Abdulrahman University, Riyadh, Saudi Arabia.ORCID http://orcid.org/0000-0003-3885-2164
Sultanah H AlsulaimanEpidemiology and Biostatistics Section, Health Sciences Research Center, Princess Nourah Bint Abdulrahman University, Riyadh, Saudi Arabia.ORCID http://orcid.org/0000-0003-0989-0591
Abdullah F AlghannamEpidemiology and Biostatistics Section, Health Sciences Research Center, Princess Nourah Bint Abdulrahman University, Riyadh, Saudi Arabia. AFAlghannam@pnu.edu.sa.ORCID http://orcid.org/0000-0002-6118-7337

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo develop an open-access database of Arabic health measures intended for use by researchers and healthcare providers, along with a bibliometric analysis of the measures included in the database.

methodsA search was conducted up to 31 December 2021 in PubMed, Embase, CINAHL, SAGE, Springer and Elsevier for published articles or abstracts with keywords "Arabic" AND "translation", "adaptation" OR "validation". Information on the measure and the methodology used in the study was then entered into a database. An open-access platform was developed to allow users to search for measures according to their needs. A bibliometric analysis of the articles and measures was then conducted.

resultsA total of 894 publications met the inclusion criteria. The articles discussed 716 measures that were developed using participants from at least 38 countries. The number of measures for adults was five times that for children. Mental health was the most frequent construct assessed (11.5%), followed by "function/disability" measures (10.6%). The majority of measures (54%) required 5 minutes or less to complete. Approximately 17% of the tools were available directly from the article. Saudi Arabia and Lebanon had the greatest number of publications, with 217 (23%) and 114 (12%), respectively. The majority of the publications included reporting of the validation and reliability of the instruments (64% and 56%, respectively).

conclusionsThere is a paucity of research on the quantity and quality of Arabic health measures. Similar to previous reviews, we found the number of publications on Arabic measures to be limited in comparison to those in English; however, it is encouraging that the number of publications appears to have increased steadily over the past decade. While we found the majority of publications reported on psychometric testing, we are unable to comment on the quality of the methodology used, and further investigation into this area is recommended. As the Arabic Health Measures database will facilitate the search for health instruments that have published data on their development, this will increase their visibility and use in research and clinical settings.

Indexed as

BibliometricsHealth PersonnelAdultChildHumansPsychometricsReproducibility of ResultsSurveys and QuestionnairesArabicMeasuresSurveysToolsTranslation

Identifiers

PMID35945534
PMCPMC9361637

What OpenQuestion holds

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LicenceCC BY
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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.