Cargando…
Development of the Arabic Health Measures database: a bibliometric analysis of Arabic health-related measures
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, Spri...
Autores principales: | , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9361637/ https://www.ncbi.nlm.nih.gov/pubmed/35945534 http://dx.doi.org/10.1186/s12961-022-00890-7 |
_version_ | 1784764569938296832 |
---|---|
author | Albawardi, Nada M. Shaikh, Quratulain Alahaideb, Wejdan Alamasi, Maryam Aljasser, Doaa Alrasheed, Lama Alsulaiman, Sultanah H. Alghannam, Abdullah F. |
author_facet | Albawardi, Nada M. Shaikh, Quratulain Alahaideb, Wejdan Alamasi, Maryam Aljasser, Doaa Alrasheed, Lama Alsulaiman, Sultanah H. Alghannam, Abdullah F. |
author_sort | Albawardi, Nada M. |
collection | PubMed |
description | 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12961-022-00890-7. |
format | Online Article Text |
id | pubmed-9361637 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-93616372022-08-10 Development of the Arabic Health Measures database: a bibliometric analysis of Arabic health-related measures Albawardi, Nada M. Shaikh, Quratulain Alahaideb, Wejdan Alamasi, Maryam Aljasser, Doaa Alrasheed, Lama Alsulaiman, Sultanah H. Alghannam, Abdullah F. Health Res Policy Syst Research 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12961-022-00890-7. BioMed Central 2022-08-09 /pmc/articles/PMC9361637/ /pubmed/35945534 http://dx.doi.org/10.1186/s12961-022-00890-7 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Albawardi, Nada M. Shaikh, Quratulain Alahaideb, Wejdan Alamasi, Maryam Aljasser, Doaa Alrasheed, Lama Alsulaiman, Sultanah H. Alghannam, Abdullah F. Development of the Arabic Health Measures database: a bibliometric analysis of Arabic health-related measures |
title | Development of the Arabic Health Measures database: a bibliometric analysis of Arabic health-related measures |
title_full | Development of the Arabic Health Measures database: a bibliometric analysis of Arabic health-related measures |
title_fullStr | Development of the Arabic Health Measures database: a bibliometric analysis of Arabic health-related measures |
title_full_unstemmed | Development of the Arabic Health Measures database: a bibliometric analysis of Arabic health-related measures |
title_short | Development of the Arabic Health Measures database: a bibliometric analysis of Arabic health-related measures |
title_sort | development of the arabic health measures database: a bibliometric analysis of arabic health-related measures |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9361637/ https://www.ncbi.nlm.nih.gov/pubmed/35945534 http://dx.doi.org/10.1186/s12961-022-00890-7 |
work_keys_str_mv | AT albawardinadam developmentofthearabichealthmeasuresdatabaseabibliometricanalysisofarabichealthrelatedmeasures AT shaikhquratulain developmentofthearabichealthmeasuresdatabaseabibliometricanalysisofarabichealthrelatedmeasures AT alahaidebwejdan developmentofthearabichealthmeasuresdatabaseabibliometricanalysisofarabichealthrelatedmeasures AT alamasimaryam developmentofthearabichealthmeasuresdatabaseabibliometricanalysisofarabichealthrelatedmeasures AT aljasserdoaa developmentofthearabichealthmeasuresdatabaseabibliometricanalysisofarabichealthrelatedmeasures AT alrasheedlama developmentofthearabichealthmeasuresdatabaseabibliometricanalysisofarabichealthrelatedmeasures AT alsulaimansultanahh developmentofthearabichealthmeasuresdatabaseabibliometricanalysisofarabichealthrelatedmeasures AT alghannamabdullahf developmentofthearabichealthmeasuresdatabaseabibliometricanalysisofarabichealthrelatedmeasures |