临床与非临床医护人员创伤后应激症状类型学数据
包含1600名医护人员转诊数据的潜力特征分析结果,识别出六种创伤后应激症状类型,用于研究症状异质性和预测因素。

基本信息
资源简介
临床与非临床医护人员创伤后应激症状类型学数据
【数据集背景】
本数据集源站标题为《Identifying post-traumatic stress symptom typologies in clinical and non-clinical healthcare staff: a latent profile analysis》。配套论文《Identifying post-traumatic stress symptom typologies in clinical and non-clinical healthcare staff: a latent profile analysis》发表于 European Journal of Psychotraumatology(2024),DOI:10.1080/20008066.2024.2351323。源站首次发布:2024-05-16。
【数据内容】
源站原始描述:Background: There has been growing concern regarding increasing levels of post-traumatic stress (PTS) symptoms experienced by healthcare workers (HCW) in the UK, particularly following the COVID-19 pandemic. Objectives: PTS symptom typologies have been investigated in other adult populations using person-centred latent variable approaches, revealing profiles showing differing symptom levels and patterns. We aimed to explore typologies among clinical and non-clinical healthcare staff to elucidate…
【数据结构与技术规格】
文件数 2 个,合计 177.85 KB。zept_a_2351323_sm4833.pdf:application/pdf,59.48 KB。zept_a_2351323_sm4832.pdf:application/pdf,118.37 KB。数据集 DOI:10.6084/m9.figshare.25840415.v1。
【主题与分类】
源站学科分类:Medicine、Neuroscience、Immunology、Biological Sciences not elsewhere classified、Science Policy、Computational Biology。主题标签:Latent profile analysis、post-traumatic stress、symptom typologies、healthcare staff、non-clinical role、Análisis de perfil latente、estrés postraumático、tipologías de síntomas、personal de salud、rol no clínico。
【适用方向】
结构化表格数据可直接用于统计建模、特征工程与队列分析。
【获取与许可】
源站页面:https://tandf.figshare.com/articles/dataset/Identifying_post-traumatic_stress_symptom_typologies_in_clinical_and_non-clinical_healthcare_staff_a_latent_profile_analysis/25840415
使用许可:CC BY 4.0(https://creativecommons.org/licenses/by/4.0/)。
规范引用:Identifying post-traumatic stress symptom typologies in clinical and non-clinical healthcare staff: a latent profile analysis. Taylor & Francis. Jeffrey, Holly; Yamagishi, Hina
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使用方式
数据集获取(Figshare)
- 源站标题:Identifying post-traumatic stress symptom typologies in clinical and non-clinical healthcare staff: a latent profile analysis
- DOI:10.6084/m9.figshare.25840415.v1
- 发布日期:2024-05-16
- 文件数:2 个
- 文件总体积:177.85 KB
- 源站页面:https://tandf.figshare.com/articles/dataset/Identifying_post-traumatic_stress_symptom_typologies_in_clinical_and_non-clinical_healthcare_staff_a_latent_profile_analysis/25840415
命令行下载
curl -L -o "zept_a_2351323_sm4833.pdf" "https://ndownloader.figshare.com/files/46377344"
curl -L -o "zept_a_2351323_sm4832.pdf" "https://ndownloader.figshare.com/files/46377347"
文件清单
zept_a_2351323_sm4833.pdf(59.48 KB)zept_a_2351323_sm4832.pdf(118.37 KB)
文件总体积 177.85 KB(源站 API 实测)。
数据说明
Background: There has been growing concern regarding increasing levels of post-traumatic stress (PTS) symptoms experienced by healthcare workers (HCW) in the UK, particularly following the COVID-19 pandemic.
Objectives: PTS symptom typologies have been investigated in other adult populations using person-centred latent variable approaches, revealing profiles showing differing symptom levels and patterns. We aimed to explore typologies among clinical and non-clinical healthcare staff to elucidate heterogeneity of presentation.
Methods: This was a retrospective study using referral data from treatment-seeking healthcare staff in the North of England (N = 1600). We employed latent profile analysis using the PTSD International Trauma Questionnaire domains as profile indicators. We included covariates relating to role-type, depression, anxiety and mental health concerns before March of 2020.
Results: A model with six profiles fit the data best. Profile names were given as follows: ‘No symptom’; ‘Low symptom’; ‘Low symptom (moderate Sense of current threat (Th_dx) and Functional impairment (FI))’; ‘Moderate symptom (low Th_dx and high Avoidance (Av_dx))’; ‘Moderate symptom’; and ‘High symptom’. Covariates were shown to have differential predictive power on profile membership.
Conclusions: The finding of profiles with pattern differences suggests a need for both differential and specifically targeted treatments, as well as a consideration of early intervention for those individuals with subclinical PTS symptoms. As expected, anxiety and depression were both predictors of several of the symptomatic profiles, with anxiety producing a larger effect. Further research is required to fully understand the link between role-type and PTS symptom typologies among HCW.
Six distinct profiles of post-traumatic stress symptoms were found in treatment-seeking healthcare staff.
Four of the profiles differed only in terms of severity of symptoms. Two of the profiles revealed pattern differences relating to differing severity across avoidance, sense of current threat and functional impairment.
Working in a non-clinical role (e.g. hospital porter or admin staff) predicted me
许可
CC BY 4.0
引用
学术使用请引用 DOI 10.6084/m9.figshare.25840415.v1(source: https://tandf.figshare.com/articles/dataset/Identifying_post-traumatic_stress_symptom_typologies_in_clinical_and_non-clinical_healthcare_staff_a_latent_profile_analysis/25840415)。
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