Protocol for project recovery after cardiac surgery: a single-center cohort study leveraging digital platform to characterise longitudinal patient-reported postoperative recovery patterns

被引:3
|
作者
Mori, Makoto [1 ,2 ]
Brooks, Cornell [1 ]
Spatz, Erica [2 ,3 ]
Mortazavi, Bobak J. [4 ]
Dhruva, Sanket S. [5 ]
Linderman, George C. [2 ]
Grab, Lawrence A. [1 ]
Zhang, Yawei [6 ]
Geirsson, Arnar [1 ]
Chaudhry, Sarwat, I [7 ]
Krumholz, Harlan M. [2 ,3 ,8 ]
机构
[1] Yale Sch Med, Div Cardiac Surg, New Haven, CT USA
[2] Yale New Haven Med Ctr, Ctr Outcomes Res & Evaluat, 20 York St, New Haven, CT 06504 USA
[3] Yale Sch Med, Sect Cardiovasc Med, New Haven, CT 06510 USA
[4] Texas A&M Univ Syst, Dept Comp Sci & Engn, College Stn, TX USA
[5] Univ Calif San Francisco, Dept Med, San Francisco, CA 94143 USA
[6] Yale Sch Publ Hlth, Dept Environm Sci, New Haven, CT USA
[7] Yale Sch Med, Gen Internal Med Sect, Dept Internal Med, New Haven, CT USA
[8] Yale Sch Publ Hlth, Dept Hlth Policy & Management, New Haven, CT 06510 USA
来源
BMJ OPEN | 2020年 / 10卷 / 09期
基金
美国国家卫生研究院;
关键词
cardiac surgery; quality in health care; telemedicine; QUALITY;
D O I
10.1136/bmjopen-2020-036959
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Introduction Improving postoperative patient recovery after cardiac surgery is a priority, but our current understanding of individual variations in recovery and factors associated with poor recovery is limited. We are using a health-information exchange platform to collect patient-reported outcome measures (PROMs) and wearable device data to phenotype recovery patterns in the 30-day period after cardiac surgery hospital discharge, to identify factors associated with these phenotypes and to investigate phenotype associations with clinical outcomes. Methods and analysis We designed a prospective cohort study to enrol 200 patients undergoing valve, coronary artery bypass graft or aortic surgery at a tertiary centre in the USA. We are enrolling patients postoperatively after the intensive care unit discharge and delivering electronic surveys directly to patients every 3 days for 30 days after hospital discharge. We will conduct medical record reviews to collect patient demographics, comorbidity, operative details and hospital course using the Society of Thoracic Surgeons data definitions. We will use phone interview and medical record review data for adjudication of survival, readmission and complications. We will apply group-based trajectory modelling to the time-series PROM and device data to classify patients into distinct categories of recovery trajectories. We will evaluate whether certain recovery pattern predicts death or hospital readmissions, as well as whether clinical factors predict a patient having poor recovery trajectories. We will evaluate whether early recovery patterns predict the overall trajectory at the patient-level. Ethics and dissemination The Yale Institutional Review Board approved this study. Following the description of the study procedure, we obtain written informed consent from all study participants. The consent form states that all personal information, survey response and any medical records are confidential, will not be shared and are stored in an encrypted database. We plan to publish our study findings in peer-reviewed journals.
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页数:9
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