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

doi:10.1186/s12961-022-00890-7

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

Health Res Policy Syst. 2022 Aug 9;20(1):87. doi: 10.1186/s12961-022-00890-7.

Authors

Nada M Albawardi¹, Quratulain Shaikh², Wejdan Alahaideb¹, Maryam Alamasi¹, Doaa Aljasser¹, Lama Alrasheed¹, Sultanah H Alsulaiman¹, Abdullah F Alghannam^{3

4}

Affiliations

¹ Epidemiology and Biostatistics Section, Health Sciences Research Center, Princess Nourah Bint Abdulrahman University, Riyadh, Saudi Arabia.
² Epidemiology Department, Indus Hospital Research Center, The Indus Hospital, Karachi, Pakistan.
³ Epidemiology and Biostatistics Section, Health Sciences Research Center, Princess Nourah Bint Abdulrahman University, Riyadh, Saudi Arabia. AFAlghannam@pnu.edu.sa.
⁴ Lifestyle and Health Research Center, Health Sciences Research Center, Princess Nourah Bint Abdulrahman University, Riyadh, Saudi Arabia. AFAlghannam@pnu.edu.sa.

Abstract

Background: To 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.

Methods: A 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.

Results: A 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).

Conclusions: There 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.

Keywords: Arabic; Measures; Surveys; Tools; Translation.

MeSH terms

Adult
Bibliometrics*
Child
Health Personnel*
Humans
Psychometrics
Reproducibility of Results
Surveys and Questionnaires