Developing the Long Term Care Data Cooperative's Capacity to Monitor Nursing Home Based Infectious Disease Outbreaks

发展长期护理数据合作社监测疗养院传染病爆发的能力

• 批准号: 10888535
• 负责人: SUSAN L MITCHELL
• 金额: $ 20万
• 依托单位: BROWN UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-09-01 至 2025-06-30
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10888535
• 关键词: American; Behavior; Centers for Disease Control and Prevention (U.S.); Collaborations; Communicable Diseases; Computerized Medical Record; Consultations; Data; Data Element; Data Set; Diagnosis; Diagnostic tests; Disease Outbreaks; Electronic Health Record; Funding; Goals; Health care facility; Healthcare; Incidence; Infection; Laboratories; Leadership; Long-Term Care; Monitor; Nursing Homes; Physical Function; Population Surveillance; Prevalence; Records; Reporting; Repository Operations; Research; Research Personnel; Standardization; Test Result; Universities; Vaccination; Vendor; antimicrobial; clinically relevant; cognitive function; collaboratory; coronavirus disease; medication administration; member; repository

CDC SUPPLEMENT TO LONG TERM CARE DATA COOPERATIVE The NIA IMPACT Collaboratory COVID related supplement that funded the Long Term Care Data Cooperative [U54AG063546-02S6] established a cooperative that is compiling a centralized repository of nursing home electronic medical record (EMR) data from three different EMR vendors. Numerous nursing home companies using one of these three vendors have signed up as members, authorizing their EMR vendor to transfer clinically relevant data, complete with identifiers, to a centralized repository operating under the auspices of the American Health Care Association (AHCA) a membership association of most US nursing homes. In addition to the regulatory required Minimum Data Set information, EMR data being consolidated include all prevalent and incident diagnoses, orders, medication administration records, change of condition records, daily vital signs, incident reports, vaccinations, behavior tracking, daily changes in cognitive and physical functioning, and for some facilities, laboratory and diagnostic test results. To facilitate use of these data for the purpose of conducting public health surveillance, in close collaboration with leadership and research analysts at the Centers for Disease Control and Prevention, Brown University investigators propose to investigate the feasibility of electronically extracting and validating antimicrobial use data elements from long-term care (LTC) facility electronic health record (EHR) data and to calculate numerators and denominators for standardized reporting of antimicrobial use metrics at the resident and facility level. To further investigate the validity of infection data in the nursing home EMRs we propose to explore the viability of using the EMR data to identify additional infectious conditions, which will be selected in consultation with CDC officials, among nursing home residents. In addition, provide access to and technical support for analysts from the Centers for Disease Control (CDC) who will conduct additional analyses of the EMR data in the LTC Data Cooperative.

CDC对长期护理数据合作的承诺 NIA IMPACT合作实验室COVID相关补充，资助长期 护理数据合作社[U 54 AG 063546 - 02 S6]建立了一个合作社， 一个集中的养老院电子病历（EMR）数据库，来自三个 不同的EMR供应商。许多养老院公司使用这三个之一 供应商已注册为会员，授权其EMR供应商将临床 相关数据（包含标识符）传输到在 美国卫生保健协会（AHCA）的赞助， 美国大部分养老院除了法规要求的最小数据集外， 信息，整合的EMR数据包括所有流行和事件诊断， 医嘱、给药记录、病情变化记录、每日生命体征， 事件报告，疫苗接种，行为跟踪，认知和身体的日常变化 功能，并为一些设施，实验室和诊断测试结果。 为了方便使用这些数据进行公共卫生监察， 与疾病中心的领导层和研究分析师密切合作， 控制和预防，布朗大学的调查人员建议调查 电子提取和验证抗菌剂使用数据元素的可行性 长期护理（LTC）设施电子健康记录（EHR）数据，并计算 抗菌药物使用指标标准化报告的分子和计量器. 居民和设施水平。为了进一步研究感染数据的有效性， 护理之家电子病历，我们建议探讨使用电子病历数据，以确定 其他传染性疾病，将在与疾病预防控制中心官员协商后选择， 在养老院的居民中。此外，还提供以下方面的机会和技术支持： 来自疾病控制中心（CDC）的分析师将进行额外的分析 电子病历数据的一部分

项目成果

The Effect of Race and Dementia Prevalence on a COVID-19 Infection Control Intervention in Massachusetts Nursing Homes.

• DOI: 10.1093/gerona/glab355
• 发表时间: 2022-07-05
• 期刊: The journals of gerontology. Series A, Biological sciences and medical sciences
• 作者: Dufour AB;Kosar C;Mor V;Lipsitz LA
• 通讯作者: Lipsitz LA

Methodological challenges in pragmatic trials in Alzheimer's disease and related dementias: Opportunities for improvement.

• DOI: 10.1177/17407745211046672
• 发表时间: 2022-03
• 期刊: Clinical trials (London, England)
• 作者: Taljaard M;Li F;Qin B;Cui C;Zhang L;Nicholls SG;Carroll K;Mitchell SL
• 通讯作者: Mitchell SL

A review of pragmatic trials found a high degree of diversity in design and scope, deficiencies in reporting and trial registry data, and poor indexing.

• DOI: 10.1016/j.jclinepi.2021.03.021
• 发表时间: 2021-09
• 期刊: Journal of clinical epidemiology
• 影响因子: 7.2
• 作者: Nicholls SG;Carroll K;Hey SP;Zwarenstein M;Zhang JZ;Nix HP;Brehaut JC;McKenzie JE;McDonald S;Weijer C;Fergusson DA;Taljaard M
• 通讯作者: Taljaard M

Longitudinal associations between cognitive functioning and depressive symptoms among couples in the Mexican Health and Aging Study.

墨西哥健康与老龄化研究中夫妇认知功能与抑郁症状之间的纵向关联。

• DOI: 10.1017/s1041610222000898
• 发表时间: 2023
• 期刊: International psychogeriatrics
• 影响因子: 7
• 作者: Monin,JoanK;McAvay,Gail;Newkirk,Katie;Samper-Ternent,Rafael
• 通讯作者: Samper-Ternent,Rafael

Patient and public involvement in pragmatic trials: online survey of corresponding authors of published trials.

• DOI: 10.9778/cmajo.20220198
• 发表时间: 2023-09
• 期刊: CMAJ open
• 作者: Vanderhout S;Nevins P;Nicholls SG;Macarthur C;Brehaut JC;Potter BK;Gillies K;Goulao B;Smith M;Hilderley A;Carroll K;Spinewine A;Weijer C;Fergusson DA;Taljaard M
• 通讯作者: Taljaard M