儿童过度活动评估量表的远程医疗与面对面可重复性研究
基于20名儿童的关节过度活动评估数据，比较远程医疗与面对面模式在Beighton、ULHAT和LLAS量表上的可重复性。
基本信息
资源简介
儿童过度活动评估量表的远程医疗与面对面可重复性研究
【数据集背景】
本数据集源站标题为《Reproducibility of Hypermobility Assessment Scales for Children When Performed Using Telehealth versus In-Person Modes》。配套论文《Reproducibility of Hypermobility Assessment Scales for Children When Performed Using Telehealth versus In-Person Modes》发表于 Physical & Occupational Therapy In Pediatrics（2022），DOI：10.1080/01942638.2022.2151393。源站首次发布：2022-12-09。
【数据内容】
源站原始描述：Evaluate reproducibility of hypermobility assessments using in-person versus telehealth modes. Hypermobility of 20 children (7–12 years) was evaluated using the Beighton Score, Upper Limb Hypermobility Assessment Tool (ULHAT), and Lower Limb Assessment Score (LLAS) via in-person and telehealth modes. Agreement between the two modes was examined using percentage of exact agreement (� and � ± 2), Limits of Agreement (LoA) and Smallest detectable change (SDC). Reliability was calculated using intra…
【数据结构与技术规格】
文件数 2 个，合计 49.65 KB。ipop_a_2151393_sm3993.docx：application/vnd.openxmlformats-officedocument.wordprocessingml.document，18.62 KB。ipop_a_2151393_sm3992.docx：application/vnd.openxmlformats-officedocument.wordprocessingml.document，31.03 KB。数据集 DOI：10.6084/m9.figshare.21700772.v1。
【主题与分类】
源站学科分类：Space Science、Medicine、Sociology、Chemical Sciences not elsewhere classified、Biological Sciences not elsewhere classified、Science Policy。主题标签：Beighton Score、children、hypermobility、Lower Limb Assessment Score、Telehealth、Upper Limb Hypermobility Assessment Tool。
【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/Reproducibility_of_Hypermobility_Assessment_Scales_for_Children_When_Performed_Using_Telehealth_versus_In-Person_Modes/21700772
使用许可：CC BY 4.0（https://creativecommons.org/licenses/by/4.0/）。
规范引用：Reproducibility of Hypermobility Assessment Scales for Children When Performed Using Telehealth versus In-Person Modes. Taylor & Francis. Hornsby, Elizabeth A.; Tucker, Kylie; Johnston, Leanne M
【使用注意】
· 源站最后修改于 2023-06-12，引用时请注意版本时效。
下载信息
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使用方式
数据集获取（Figshare）
- 源站标题：Reproducibility of Hypermobility Assessment Scales for Children When Performed Using Telehealth versus In-Person Modes
- DOI：10.6084/m9.figshare.21700772.v1
- 发布日期：2022-12-09
- 文件数：2 个
- 文件总体积：49.65 KB
- 源站页面：https://tandf.figshare.com/articles/dataset/Reproducibility_of_Hypermobility_Assessment_Scales_for_Children_When_Performed_Using_Telehealth_versus_In-Person_Modes/21700772
命令行下载
curl -L -o "ipop_a_2151393_sm3993.docx" "https://ndownloader.figshare.com/files/38490296"
curl -L -o "ipop_a_2151393_sm3992.docx" "https://ndownloader.figshare.com/files/38490299"
文件清单
ipop_a_2151393_sm3993.docx（18.62 KB）ipop_a_2151393_sm3992.docx（31.03 KB）
文件总体积 49.65 KB（源站 API 实测）。
数据说明
Evaluate reproducibility of hypermobility assessments using in-person versus telehealth modes.
Hypermobility of 20 children (7–12 years) was evaluated using the Beighton Score, Upper Limb Hypermobility Assessment Tool (ULHAT), and Lower Limb Assessment Score (LLAS) via in-person and telehealth modes. Agreement between the two modes was examined using percentage of exact agreement (� and � ± 2), Limits of Agreement (LoA) and Smallest detectable change (SDC). Reliability was calculated using intra-class correlation coefficients (ICCs).
Agreement between modes for total Scores was best for the Beighton (� = fair, � ± 2 = good), then the ULHAT (� = poor, � ± 2 = excellent), and LLAS (� = poor, � ± 2 = fair). Total scores for all scales showed wide LoA, large SDC (25-31%), and fair to good reliability (ICC = 0.54–0.61). Exact agreement for Generalized Joint Hypermobility classification was excellent for the Beighton (≥7/9 threshold) and fair for the ULHAT and LLAS (≥7/12 threshold). Percentage of individual test items with good/excellent agreement was highest for the Beighton (78%, 7/9 items), then the ULHAT (58%, 14/24) and LLAS (42%, 10/24).
Total Scores of hypermobility scales showed low exact agreement between in-person and telehealth, but fair–excellent agreement within two points. Classification using the Beighton ≥7/9 threshold was excellent. Research is recommended to increase accuracy of online assessments.
许可
CC BY 4.0
引用
学术使用请引用 DOI 10.6084/m9.figshare.21700772.v1（source: https://tandf.figshare.com/articles/dataset/Reproducibility_of_Hypermobility_Assessment_Scales_for_Children_When_Performed_Using_Telehealth_versus_In-Person_Modes/21700772）。
数据缺失？
依托陕西、四川两大基地，我们与超过十家三甲医院建立直接合作关系，覆盖合规授权、采集治理、专业标注、数据交付的全流程，为AI医疗团队提供即拿即用的高质量临床数据。
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