Validating the Patient-reported Experiences of Discrimination in Care Tool (PreDi

验证患者报告的护理工具歧视经历 (PreDi

基本信息

批准号：
8517055
负责人：
Marcella Nunez-Smith
金额：
$ 63.4万
依托单位：
YALE UNIVERSITY
依托单位国家：
美国
项目类别：
财政年份：
2012
资助国家：
美国
起止时间：
2012-08-01 至 2017-05-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/8517055
关键词：
Address Adherence Applications Grants Area Caring Case-Mix Adjustments Cognitive Colorado Communication Communities Companions Complement Connecticut Data Data Collection Discrimination Education Ethnic Origin Exploratory/Developmental Grant Female Focus Groups Frequencies Health Health Personnel Health Status Healthcare Healthcare Systems Home environment Hospitals Individual Information Systems Inpatients Insurance Coverage Internal Medicine Intervention Intervention Studies Interview Knowledge Language Literature Measurement Measures Medical Research Minority Groups Modeling Outcome Patient Discharge Patient Outcomes Assessments Patient Self-Report Patients Performance Policies Policy Research Population Process Psychometrics Quality Indicator Quality of Care Questionnaires Race Recruitment Activity Reporting Research Sampling Schedule Screening for cancer Self-Administered Services Socioeconomic Factors Solutions Staging System Techniques Testing Translating United States United States National Institutes of Health Virginia Work base care delivery effective intervention ethnic discrimination evidence base experience health disparity improved male member novel patient oriented racial and ethnic racial and ethnic disparities response satisfaction statistics tool

项目摘要

DESCRIPTION (provided by applicant): Racial/ethnic minority and female patients in the United States often have worse healthcare outcomes when compared with white and male patients even when controlling for insurance status, education, and other socioeconomic factors. A growing body of research seeks to understand the contribution interpersonal and institutional bias to these observed inequities. However, efforts to further describe and reduce patient experiences of healthcare discrimination are limited by the lack of a standardized approach to capture this phenomenon. We now build upon our earlier work and seek to finalize and test an item bank, the Patient-Reported Experiences of Discrimination in Care Tool (PreDict), that can be used to assess the patient-centeredness of the care experience, to compare and report on hospital-level performance, and to ultimately improve the quality of care delivery within healthcare organizations. In this current application, we specifically propose to: ) apply advanced statistical techniques to a set of candidate items after field testing them with a sample (n=6000) of patients recently discharged from twenty hospitals across the states of Connecticut, Virginia, and Colorado in order to determine the finalized item bank; 2) develop PreDict as a hospital-level assessment measure with application as a quality improvement tool; and 3) describe the relationship between hospital-level performance on PreDict items and other measures of hospital quality. The proposed work is the logical next step towards a standardized approach to data collection on patient experiences of healthcare discrimination. A systematic strategy towards the study of patient reports of discrimination across healthcare organizations remains necessary to expand the evidence base in this area and to inform effective interventions.

描述（由申请人提供）：即使在控制保险状况，教育和其他社会经济因素时，与白人和男性患者相比，与白人和男性患者相比，美国的种族/少数民族和女性患者的医疗保健结果往往更糟。越来越多的研究试图了解对这些观察到的不平等现象的人际关系和制度偏见。但是，由于缺乏捕获这种现象的标准化方法，限制了进一步描述和减少医疗保健歧视的患者经历的努力。现在，我们以早期的工作为基础，并寻求最终确定和测试物品库，即护理工具中的患者报告的歧视经验（预测），可用于评估以患者为中心的护理经验，比较和报告医院水平的绩效和报告，并最终改善医疗保健组织内的护理质量。在此当前应用中，我们专门提议：）在现场测试后，将高级统计技术应用于一组候选项目，以样本（n = 6000）（n = 6000）（n = 6000）最近从康涅狄格州，弗吉尼亚州和科罗拉多州的二十个医院出院的患者（n = 6000），以确定最终项目库； 2）将预测作为医院级别的评估措施，并用作质量改进工具； 3）描述医院级别的预测项目和其他医院质量措施之间的关系。拟议的工作是迈向有关医疗保健歧视患者经历的数据收集标准化方法的逻辑下一步。研究患者在医疗组织之间进行歧视报告的系统策略对于扩大该领域的证据基础并为有效的干预提供了信息仍然是必要的。