Detection of Elder abuse Through Emergency Care Technicians (DETECT)

通过紧急护理技术人员检测虐待老年人行为 (DETECT)

基本信息

批准号：
10447050
负责人：
Michael Bradley Cannell
金额：
$ 32.52万
依托单位：
UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON
依托单位国家：
美国
项目类别：
财政年份：
2018
资助国家：
美国
起止时间：
2018-09-15 至 2024-05-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/10447050
关键词：
Address Adult Area Behavioral Caregivers Chronic Cognitive Communities Computer software County Data Dementia Detection Diagnostic Early Diagnosis Elder Abuse Elderly Emergency Care Emergency Medical Technicians Emergency department visit Emergency medical service Emergency response Emotional Environment Environmental Risk Factor Factor Analysis Failure Foundations Gold Health Healthcare Hospitalization Injury Interview Investigation Link Measures Medical Mental Health Methodology Morbidity - disease rate Paramedical Personnel Participant Performance Persons Physical environment Pilot Projects Population Positioning Attribute Predictive Value Prevalence Procedures Provider Psyche structure Reporting Research Risk Risk Factors Sample Size Sampling Screening Result Screening procedure Sensitivity and Specificity Services Sexual abuse Social Environment Social support Testing Texas Time Trust United States Validation Work abuse neglect aged base brief screening contextual factors design emotional abuse expectation financial exploitation follow up assessment follow-up improved innovation modifiable risk mortality neglect optimism physical abuse pilot test polyvictimization protective factors psychological distress residence screening social tool

项目摘要

Project Summary Elder mistreatment (EM) is commonly defined as an intentional act, or failure to act, by a caregiver or another person in a relationship involving an expectation of trust, that causes harm or creates a risk of harm to an older adult. EM includes financial abuse/exploitation, neglect, emotional/psychological abuse, physical abuse, and sexual abuse. Exposure is often chronic, and commonly involves multiple forms of abuse. This is concerning as there is an estimated 11% annual prevalence among cognitively intact adults, and higher amongst those with dementia. Further, EM is linked with increased risk of physical injury, hospitalization, emergency room visits, psychological distress, morbidity, and early mortality. Nevertheless, EM is difficult to detect and often goes unrecognized. Effective and efficient EM screening tools are urgently needed to improve early detection efforts. We will gather the data required to determine the sensitivity and specificity of the DETECT tool, a screening tool designed specifically to help medics identify potential EM occurring in the community. Our proposed methodology includes in-person follow-up assessments with a random sample of older adults screened using DETECT (N = 2,500 total participants). We will conduct a brief capacity assessment and follow-up assessment 1 month after the original DETECT screening. This assessment will include validated measures of emotional, physical, and sexual abuse, neglect, financial exploitation, and poly-victimization. It will also include validated measures of other potentially modifiable risk and protective factors.23 The specific aims of the proposed project are: AIM 1: Validation of an innovative EM screening tool (DETECT). We will match DETECT screening results with an expert LEAD panel determination “gold standard” to calculate diagnostic performance for each screening item, and all screening items collectively. This comprehensive approach to validating DETECT will provide the needed empirical foundation for its broader implementation. AIM 2: Optimizing the DETECT Tool Via Systematic Item Reduction. We will use confirmatory factor analysis to determine the relative predictive value of each DETECT item. Results will inform systematic item reduction efforts, streamlining the tool for optimally efficient administration. AIM 3: Identify risk and protective factors for EM. Follow-up in-person interviews will provide rich contextual data that highlight modifiable personal and contextual factors (e.g., previous EM and/or polyvictimization, social support, unmet health and daily living needs, financial problems, and mental factors). The large sample size of the proposed study (N=2,500) will permit an unprecedented opportunity to examine predictors of EM.

项目概要虐待老年人 (EM) 通常被定义为护理人员或其他人在护理机构中故意或不采取行动的行为。关系对信任的期望，这对老年人造成伤害或造成伤害的风险包括 EM。经济虐待/剥削、忽视、情感/心理虐待、身体虐待和性虐待是常见的。慢性的，并且通常涉及多种形式的虐待，这一点令人担忧，因为估计每年有 11% 的虐待发生。认知功能完好的成年人中的患病率更高，而痴呆症患者中的患病率更高。此外，EM 与痴呆症的增加有关。身体伤害、住院、急诊室就诊、心理困扰、发病和早期死亡的风险。然而，EM 很难检测，并且经常未被认识到有效且高效的 EM 筛查工具。迫切需要改进早期检测工作，我们将收集确定敏感性和确定所需的数据。 DETECT 工具的特异性，这是一种专门设计用于帮助医务人员识别潜在 EM 的筛查工具我们提出的方法包括对老年人进行随机抽样的现场跟踪评估。使用 DETECT 进行筛查的成年人（总共 2,500 名参与者）我们将进行简短的能力评估和后续行动。最初的 DETECT 筛查后 1 个月进行评估该评估将包括经过验证的情绪、它还将包括经过验证的措施。其他潜在可改变的风险和保护因素。23 拟议项目的具体目标是：目标 1：验证创新的 EM 筛查工具 (DETECT) 我们将把 DETECT 筛查结果与专家 LEAD 小组确定“黄金标准”来计算每个筛查项目的诊断性能，以及所有这种验证 DETECT 的综合方法将提供所需的经验。为其更广泛的实施奠定了基础。目标 2：通过系统项目减少来优化 DETECT 工具我们将使用验证性因素分析。确定每个检测项目的相对预测值结果将为系统项目减少工作提供信息，简化工具以实现最高效的管理。目标 3：确定 EM 的风险和保护因素，后续面对面访谈将提供丰富的背景数据。强调可改变的个人和背景因素（例如，以前的 EM 和/或多重受害者、社会支持、未满足的健康和日常生活需求、财务问题和精神因素）。（N=2,500）将为检查 EM 的预测因素提供前所未有的机会。

项目成果

期刊论文数量（2）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Validation of the detection of elder abuse through emergency care technicians (DETECT) screening tool: a study protocol.

通过紧急护理技术人员 (DETECT) 筛查工具验证虐待老人的检测：一项研究方案。

DOI：
发表时间：
2020
期刊：
影响因子：
2.9
作者：
Cannell, Brad;Weitlauf, Julie;Livingston, Melvin D;Burnett, Jason;Parayil, Megin;Reingle Gonzalez, Jennifer
通讯作者：
Reingle Gonzalez, Jennifer

Evaluation of the Detection of Elder Mistreatment Through Emergency Care Technicians Project Screening Tool.

通过紧急护理技术人员项目筛选工具对发现老年人虐待行为进行评估。

DOI：
发表时间：
2020
期刊：
影响因子：
13.8
作者：
Cannell, Brad;Livingston, Melvin;Burnett, Jason;Parayil, Megin;Reingle Gonzalez, Jennifer M
通讯作者：
Reingle Gonzalez, Jennifer M