Chen Shuang, Lan Xue, Yu Han
Department of Health Management, China Medical University, Shenyang, China.
Front Psychiatry. 2023 Aug 29;14:1199906. doi: 10.3389/fpsyt.2023.1199906. eCollection 2023.
The focus on psychological issues during COVID-19 has led to the development of large surveys that involve the use of mental health scales. Numerous mental health measurements are available; choosing the appropriate measurement is crucial.
A rule-based named entity recognition was used to recognize entities of mental health scales that occur in the articles from PubMed. The co-occurrence networks of mental health scales and Medical Subject Headings (MeSH) terms were constructed by Gephi.
Five types of MeSH terms were filtered, including research objects, research topics, research methods, countries/regions, and factors. Seventy-eight mental health scales were discovered.
The findings provide insights on the scales used most often during the pandemic, the key instruments used to measure healthcare workers' physical and mental health, the scales most often utilized for assessing maternal mental health, the tools used most commonly for assessing older adults' psychological resilience and loneliness, and new COVID-19 mental health scales. Future studies may use these findings as a guiding reference and compass.
对新冠疫情期间心理问题的关注促使了大规模调查的开展，这些调查涉及心理健康量表的使用。有许多心理健康测量方法可供选择；选择合适的测量方法至关重要。
使用基于规则的命名实体识别来识别PubMed文章中出现的心理健康量表实体。通过Gephi构建心理健康量表与医学主题词（MeSH）术语的共现网络。
筛选出五类MeSH术语，包括研究对象、研究主题、研究方法、国家/地区和因素。发现了78种心理健康量表。
这些发现为疫情期间最常用的量表、用于测量医护人员身心健康的关键工具、评估孕产妇心理健康最常用的量表、评估老年人心理韧性和孤独感最常用的工具以及新的新冠心理健康量表提供了见解。未来的研究可以将这些发现作为指导参考和指南。
