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                                                                                         ·医学循证·


           老年人虐待评估工具的系统综述



           许文仙,沈禹聪,郑崇皓,梁安东,陈梦姣,章永杰,杨晔琴                              *                          扫描二维码
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               【摘要】 背景 老年人虐待是全球性的公共卫生问题,其发生率呈现逐年升高趋势。老年人虐待行为常隐蔽发生,
           难以被察觉与识别,有效的评估工具是发现和制止老年人虐待的前提条件。目的 系统综述老年人虐待评估工具的相关
           研究。方法 2021 年 1 月 10—24 日,检索 PubMed、CINAHL、PsycINFO、EmBase、Scopus、Web of Science、Cochrane
           Library、维普网、万方数据知识服务平台、中国知网、台湾学术文献数据库共 11 个数据库从建库至 2020-12-31 公开发
           表的老年人虐待评估工具相关文献。由 2 名研究人员独立筛选文献,提取资料并交叉核对。使用量表性能的真实性评价
           工具对纳入文献进行评价。结果 共纳入29项研究,涉及19种老年人虐待评估工具,包括18种英文问卷和1种中文问卷。
           根据测评内容,评估工具主要包括 2 个层面,分别为老年人虐待风险(7 个)与老年人虐待行为(12 个)。其中,老年
           人虐待行为评估工具中的家庭老年人虐待评估工具(ATDEA)、老年女性的家庭暴力量表(FVOW)和家庭照顾者对血
           液透析老年人不良行为问卷可用于虐待严重程度的筛查。结论 随着老年人虐待这一问题逐渐引起社会各界的广泛关注
           与重视,国际社会针对不同人群、机构与文化背景发展了不同类型的评估工具。研究者应根据研究目的、研究对象和研
           究机构等有针对性地选择评估工具,并结合我国的文化背景发展适合我国国情的老年人虐待测评工具。
               【关键词】 老年人;虐待;评估工具;筛查;系统综述
               【中图分类号】 R 749.99 【文献标识码】 A DOI:10.12114/j.issn.1007-9572.2022.0033
               许文仙,沈禹聪,郑崇皓,等 . 老年人虐待评估工具的系统综述[J]. 中国全科医学,2022,25(16):2044-2050.
           [www.chinagp.net]
               XU W X,SHEN Y C,ZHENG C H,et al. Assessment tools for identification of elder abuse:a systematic review[J].
           Chinese General Practice,2022,25(16):2044-2050.


           Assessment Tools for Identification of Elder Abuse:a Systematic Review XU Wenxian,SHEN Yucong,ZHENG
           Chonghao,LIANG Andong,CHEN Mengjiao,ZHANG Yongjie,YANG Yeqin *
           School of Nursing,Wenzhou Medical University,Wenzhou 325035,China
           *
           Corresponding author:YANG Yeqin,Associate professor,Master supervisor;E-mail:yangyq@wmu.edu.cn
               【Abstract】 Background Elder abuse is a global public health issue,with a yearly increase in its prevalence. As
           elder abuse often occurs covertly and is difficult to be detected and identified,effective assessment tools are prerequisites for
           detecting and stopping elder abuse. Objective To systematically review the studies on elder abuse assessment tools. Methods
            From January 10 to 24,2021,we conducted a comprehensive search of 11 databases(PubMed,CHINAL,PsycINFO,
           EmBase,Scopus,Web of Science,Cochrane Library,CQVIP,Wanfang Data,CNKI,and Taiwan Scholar Database)
           to identify eligible studies of elder abuse assessment tools published up to December 31,2020. Literature screening and data
           extraction were performed by two researchers,separately,and then were cross-checked. Methodological quality was evaluated,
           an authenticity assessment tool for scale measurement properties. Results A total of 29 studies were included,involving 19
           elder abuse assessment tools,18 of which were questionnaires in English and the other one was a questionnaire in Chinese.
           According to the evaluation content,these tools could be classified into two types: the risk of elder abuse(7) and elder abuse
           (12). In particular,Assessment Tool for Domestic Elder Abuse,the Family Violence Against Older Women,and Family
           Caregivers' Misbehavior toward Elderlies on Hemodialysis belonging to the elder abuse type could be used to assess the severity of
           abuse. Conclusion As elder abuse has gradually attracted wide attention,the international community has developed various
           types of assessment tools targeting different groups,institutions and cultural backgrounds. Researchers should appropriately
           select assessment tools according to research objectives,participants,and research institutions,and should develop elder abuse
           assessment tools for Chinese older people in accordance with China's conditions and cultural background.
               【Key words】 Aged;Torture;Assessment tool;Screening;Systematic review
               基金项目:国家社会科学基金资助项目(21BRK032);浙江省教育厅一般项目(Y201839850)
               325035 浙江省温州市,温州医科大学护理学院
               *
               通信作者:杨晔琴,副教授,硕士生导师;E-mail:yangyq@wmu.edu.cn
               本文数字出版日期:2022-05-05
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