Effect of Electronic Health Record Clinical Decision Support on Contextualization of Care

Author:

Weiner Saul J.123,Schwartz Alan4,Weaver Frances35,Galanter William1,Olender Sarah6,Kochendorfer Karl7,Binns-Calvey Amy123,Saini Ravisha12,Iqbal Sana8,Diaz Monique9,Michelfelder Aaron1011,Varkey Anita12

Affiliation:

1. Department of Medicine, College of Medicine, University of Illinois Chicago

2. Medical Services, Jesse Brown Department of Veterans Affairs (VA) Medical Center, Chicago, Illinois

3. Center of Innovation for Complex Chronic Healthcare, Edward Hines, Jr VA Hospital, Hines, Illinois

4. Department of Medical Education, College of Medicine, University of Illinois Chicago

5. Parkinson School of Health Sciences and Public Health, Loyola University Chicago, Maywood, Illinois

6. University of Illinois Cancer Center, College of Medicine, University of Illinois Chicago

7. Department of Family and Community Medicine, College of Medicine, University of Illinois Chicago

8. Clinical Research Office, Health Sciences Campus, Loyola University Chicago, Maywood, Illinois

9. Dignity Health, Pacific Central Coast Health Centers, Arroyo Grande, California

10. Department of Family Medicine, Stritch School of Medicine, Loyola University Chicago, Maywood, Illinois

11. Loyola University Health System, Chicago, Illinois

12. Oak Street Health, East Point, Georgia

Abstract

ImportanceContextualizing care is a process of incorporating information about the life circumstances and behavior of individual patients, termed contextual factors, into their plan of care. In 4 steps, clinicians recognize clues (termed contextual red flags), clinicians ask about them (probe for context), patients disclose contextual factors, and clinicians adapt care accordingly. The process is associated with a desired outcome resolution of the presenting contextual red flag.ObjectiveTo determine whether contextualized clinical decision support (CDS) tools in the electronic health record (EHR) improve clinician contextual probing, attention to contextual factors in care planning, and the presentation of contextual red flags.Design, Setting, and ParticipantsThis randomized clinical trial was performed at the primary care clinics of 2 academic medical centers with different EHR systems. Participants were adults 18 years or older consenting to audio record their visits and their physicians between September 6, 2018, and March 4, 2021. Patients were randomized to an intervention or a control group. Analyses were performed on an intention-to-treat basis.InterventionsPatients completed a previsit questionnaire that elicited contextual red flags and factors and appeared in the clinician’s note template in a contextual care box. The EHR also culled red flags from the medical record, included them in the contextual care box, used passive and interruptive alerts, and proposed relevant orders.Main Outcomes and MeasuresProportion of contextual red flags noted at the index visit that resolved 6 months later (primary outcome), proportion of red flags probed (secondary outcome), and proportion of contextual factors addressed in the care plan by clinicians (secondary outcome), adjusted for study site and for multiple red flags and factors within a visit.ResultsFour hundred fifty-two patients (291 women [65.1%]; mean [SD] age, 55.6 [15.1] years) completed encounters with 39 clinicians (23 women [59.0%]). Contextual red flags were not more likely to resolve in the intervention vs control group (adjusted odds ratio [aOR], 0.96 [95% CI, 0.57-1.63]). However, the intervention increased both contextual probing (aOR, 2.12 [95% CI, 1.14-3.93]) and contextualization of the care plan (aOR, 2.67 [95% CI, 1.32-5.41]), controlling for whether a factor was identified by probing or otherwise. Across study groups, contextualized care plans were more likely than noncontextualized plans to result in improvement in the presenting red flag (aOR, 2.13 [95% CI, 1.38-3.28]).Conclusions and RelevanceThis randomized clinical trial found that contextualized CDS did not improve patients’ outcomes but did increase contextualization of their care, suggesting that use of this technology could ultimately help improve outcomes.Trial RegistrationClinicalTrials.gov Identifier: NCT03244033

Publisher

American Medical Association (AMA)

Subject

General Medicine

Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3