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开发阿拉伯健康测量数据库:阿拉伯语健康相关测量的文献计量分析。

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

机构信息

Epidemiology and Biostatistics Section, Health Sciences Research Center, Princess Nourah Bint Abdulrahman University, Riyadh, Saudi Arabia.

Epidemiology Department, Indus Hospital Research Center, The Indus Hospital, Karachi, Pakistan.

出版信息

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

DOI:10.1186/s12961-022-00890-7
PMID:35945534
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9361637/
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.

摘要

背景

开发一个阿拉伯文健康测量工具的开放获取数据库,供研究人员和医疗保健提供者使用,并对数据库中包含的测量工具进行文献计量分析。

方法

截至 2021 年 12 月 31 日,在 PubMed、Embase、CINAHL、SAGE、Springer 和 Elsevier 中使用“阿拉伯文”和“翻译”、“改编”或“验证”等关键词进行了已发表文章或摘要的检索。然后将有关测量工具及其研究中使用的方法的信息输入数据库。开发了一个开放获取平台,允许用户根据自己的需求搜索测量工具。然后对文章和测量工具进行了文献计量分析。

结果

共有 894 篇符合纳入标准的文献。这些文章讨论了 716 种使用至少 38 个国家的参与者开发的测量工具。成人的测量工具数量是儿童的五倍。心理健康是评估最频繁的结构(11.5%),其次是“功能/残疾”测量工具(10.6%)。大多数测量工具(54%)需要 5 分钟或更短的时间来完成。大约 17%的工具可以直接从文章中获得。沙特阿拉伯和黎巴嫩发表的文章数量最多,分别为 217 篇(23%)和 114 篇(12%)。大多数出版物都报告了仪器的验证和可靠性(分别为 64%和 56%)。

结论

关于阿拉伯文健康测量工具的数量和质量的研究很少。与之前的综述类似,我们发现与英文测量工具相比,阿拉伯文测量工具的出版物数量有限;然而,令人鼓舞的是,过去十年中,出版物的数量似乎稳步增加。虽然我们发现大多数出版物都报告了心理测量测试,但我们无法对所使用的方法的质量发表评论,建议对此领域进行进一步调查。由于阿拉伯文健康测量工具数据库将方便搜索已发表其开发数据的健康工具,这将提高它们在研究和临床环境中的可见度和使用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b49e/9361637/7d068bdfcb0b/12961_2022_890_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b49e/9361637/5d4175c8f2b5/12961_2022_890_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b49e/9361637/8d787f353799/12961_2022_890_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b49e/9361637/9dac2ce289f7/12961_2022_890_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b49e/9361637/7d068bdfcb0b/12961_2022_890_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b49e/9361637/5d4175c8f2b5/12961_2022_890_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b49e/9361637/8d787f353799/12961_2022_890_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b49e/9361637/9dac2ce289f7/12961_2022_890_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b49e/9361637/7d068bdfcb0b/12961_2022_890_Fig4_HTML.jpg

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