Literature DB >> 33895828

Barriers to using clinical decision support in ambulatory care: Do clinics in health systems fare better?

Yunfeng Shi1, Alejandro Amill-Rosario1, Robert S Rudin2, Shira H Fischer2, Paul Shekelle3, Dennis P Scanlon1, Cheryl L Damberg3.   

Abstract

OBJECTIVE: We quantify the use of clinical decision support (CDS) and the specific barriers reported by ambulatory clinics and examine whether CDS utilization and barriers differed based on clinics' affiliation with health systems, providing a benchmark for future empirical research and policies related to this topic.
MATERIALS AND METHODS: Despite much discussion at the theoretic level, the existing literature provides little empirical understanding of barriers to using CDS in ambulatory care. We analyze data from 821 clinics in 117 medical groups, based on in Minnesota Community Measurement's annual Health Information Technology Survey (2014-2016). We examine clinics' use of 7 CDS tools, along with 7 barriers in 3 areas (resource, user acceptance, and technology). Employing linear probability models, we examine factors associated with CDS barriers.
RESULTS: Clinics in health systems used more CDS tools than did clinics not in systems (24 percentage points higher in automated reminders), but they also reported more barriers related to resources and user acceptance (26 percentage points higher in barriers to implementation and 33 points higher in disruptive alarms). Barriers related to workflow redesign increased in clinics affiliated with health systems (33 points higher). Rural clinics were more likely to report barriers to training.
CONCLUSIONS: CDS barriers related to resources and user acceptance remained substantial. Health systems, while being effective in promoting CDS tools, may need to provide further assistance to their affiliated ambulatory clinics to overcome barriers, especially the requirement to redesign workflow. Rural clinics may need more resources for training.
© The Author(s) 2021. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For permissions, please email: journals.permissions@oup.com.

Entities:  

Keywords:  adoption barriers; ambulatory care; clinical decision support; health systems; user acceptance

Mesh:

Year:  2021        PMID: 33895828      PMCID: PMC8324224          DOI: 10.1093/jamia/ocab064

Source DB:  PubMed          Journal:  J Am Med Inform Assoc        ISSN: 1067-5027            Impact factor:   4.497


  31 in total

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2.  The overuse of diagnostic imaging and the Choosing Wisely initiative.

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4.  Are all certified EHRs created equal? Assessing the relationship between EHR vendor and hospital meaningful use performance.

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5.  What Defines a High-Performing Health Care Delivery System: A Systematic Review.

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Review 6.  Clinical decision support models and frameworks: Seeking to address research issues underlying implementation successes and failures.

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Review 7.  Automated alerts and reminders targeting patients: A review of the literature.

Authors:  Seneca Perri-Moore; Seraphine Kapsandoy; Katherine Doyon; Brent Hill; Melissa Archer; Laura Shane-McWhorter; Bruce E Bray; Qing Zeng-Treitler
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Review 8.  Grand challenges in clinical decision support.

Authors:  Dean F Sittig; Adam Wright; Jerome A Osheroff; Blackford Middleton; Jonathan M Teich; Joan S Ash; Emily Campbell; David W Bates
Journal:  J Biomed Inform       Date:  2007-09-21       Impact factor: 6.317

Review 9.  Reasons For Physicians Not Adopting Clinical Decision Support Systems: Critical Analysis.

Authors:  Saif Khairat; David Marc; William Crosby; Ali Al Sanousi
Journal:  JMIR Med Inform       Date:  2018-04-18

10.  Barriers and facilitators to the uptake of computerized clinical decision support systems in specialty hospitals: protocol for a qualitative cross-sectional study.

Authors:  Lorenzo Moja; Elisa Giulia Liberati; Laura Galuppo; Mara Gorli; Marco Maraldi; Oriana Nanni; Giulio Rigon; Pietro Ruggieri; Francesca Ruggiero; Giuseppe Scaratti; Alberto Vaona; Koren Hyogene Kwag
Journal:  Implement Sci       Date:  2014-08-28       Impact factor: 7.327

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