Adoption of shared decision-making and clinical decision support for reducing cardiovascular disease risk in community health centers

Author:

Hauschildt Jennifer1ORCID,Lyon-Scott Kristin1,Sheppler Christina R2,Larson Annie E1,McMullen Carmit2,Boston David1,O’Connor Patrick J3,Sperl-Hillen JoAnn M3,Gold Rachel12

Affiliation:

1. OCHIN Inc., Research Department , Portland, Oregon 97228-5426, USA

2. Kaiser Permanente Center for Health Research , Portland, Oregon 97227, USA

3. HealthPartners Institute, HealthPartners Center for Chronic Care Innovation , Bloomington, Minnesota 55425, USA

Abstract

AbstractObjectiveElectronic health record (EHR)-based shared decision-making (SDM) and clinical decision support (CDS) systems can improve cardiovascular disease (CVD) care quality and risk factor management. Use of the CV Wizard system showed a beneficial effect on high-risk community health center (CHC) patients’ CVD risk within an effectiveness trial, but system adoption was low overall. We assessed which multi-level characteristics were associated with system use.Materials and MethodsAnalyses included 80 195 encounters with 17 931 patients with high CVD risk and/or uncontrolled risk factors at 42 clinics in September 2018–March 2020. Data came from the CV Wizard repository and EHR data, and a survey of 44 clinic providers. Adjusted, mixed-effects multivariate Poisson regression analyses assessed factors associated with system use. We included clinic- and provider-level clustering as random effects to account for nested data.ResultsLikelihood of system use was significantly higher in encounters with patients with higher CVD risk and at longer encounters, and lower when providers were >10 minutes behind schedule, among other factors. Survey participants reported generally high satisfaction with the system but were less likely to use it when there were time constraints or when rooming staff did not print the system output for the provider.DiscussionCHC providers prioritize using this system for patients with the greatest CVD risk, when time permits, and when rooming staff make the information readily available. CHCs’ financial constraints create substantial challenges to addressing barriers to improved system use, with health equity implications.ConclusionResearch is needed on improving SDM and CDS adoption in CHCs.Trial RegistrationClinicalTrials.gov, NCT03001713, https://clinicaltrials.gov/

Funder

National Institutes of Health

Publisher

Oxford University Press (OUP)

Subject

Health Informatics

Reference62 articles.

1. Effects of computerized decision support systems on practitioner performance and patient outcomes: systematic review;Kruse;JMIR Med Inform,2020

2. Using electronic health record clinical decision support is associated with improved quality of care;Mishuris;Am J Manag Care,2014

3. Priorities wizard: multisite web-based primary care clinical decision support improved chronic care outcomes with high use rates and high clinician satisfaction rates;Sperl-Hillen;EGEMS (Wash DC),2019

4. Impact of electronic health record clinical decision support on diabetes care: a randomized trial;O'Connor;Ann Fam Med,2011

5. Clinical decision support directed to primary care patients and providers reduces cardiovascular risk: a randomized trial;Sperl-Hillen;J Am Med Inform Assoc,2018

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