Literature DB >> 29507124

Next-generation audit and feedback for inpatient quality improvement using electronic health record data: a cluster randomised controlled trial.

Sajan Patel1, Alvin Rajkomar1, James D Harrison1, Priya A Prasad1, Victoria Valencia2, Sumant R Ranji3, Michelle Mourad1.   

Abstract

BACKGROUND: Audit and feedback improves clinical care by highlighting the gap between current and ideal practice. We combined best practices of audit and feedback with continuously generated electronic health record data to improve performance on quality metrics in an inpatient setting.
METHODS: We conducted a cluster randomised control trial comparing intensive audit and feedback with usual audit and feedback from February 2016 to June 2016. The study subjects were internal medicine teams on the teaching service at an urban tertiary care hospital. Teams in the intensive feedback arm received access to a daily-updated team-based data dashboard as well as weekly inperson review of performance data ('STAT rounds'). The usual feedback arm received ongoing twice-monthly emails with graphical depictions of team performance on selected quality metrics. The primary outcome was performance on a composite discharge metric (Discharge Mix Index, 'DMI'). A washout period occurred at the end of the trial (from May through June 2016) during which STAT rounds were removed from the intensive feedback arm.
RESULTS: A total of 40 medicine teams participated in the trial. During the intervention period, the primary outcome of completion of the DMI was achieved on 79.3% (426/537) of patients in the intervention group compared with 63.2% (326/516) in the control group (P<0.0001). During the washout period, there was no significant difference in performance between the intensive and usual feedback groups.
CONCLUSION: Intensive audit and feedback using timely data and STAT rounds significantly increased performance on a composite discharge metric compared with usual feedback. With the cessation of STAT rounds, performance between the intensive and usual feedback groups did not differ significantly, highlighting the importance of feedback delivery on effecting change. CLINICAL TRIAL: The trial was registered with ClinicalTrials.gov (NCT02593253). © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2018. All rights reserved. No commercial use is permitted unless otherwise expressly granted.

Entities:  

Keywords:  audit and feedback; hospital medicine; performance measures; quality improvement; randomised controlled trial

Mesh:

Year:  2018        PMID: 29507124     DOI: 10.1136/bmjqs-2017-007393

Source DB:  PubMed          Journal:  BMJ Qual Saf        ISSN: 2044-5415            Impact factor:   7.035


  9 in total

1.  Using Participatory Design to Engage Physicians in the Development of a Provider-Level Performance Dashboard and Feedback System.

Authors:  Sajan Patel; Logan Pierce; Maggie Jones; Andrew Lai; Michelle Cai; Bradley A Sharpe; James D Harrison
Journal:  Jt Comm J Qual Patient Saf       Date:  2021-10-28

2.  Real time self-rating of decision certainty by clinicians: a systematic review.

Authors:  Myura Nagendran; Yang Chen; Anthony C Gordon
Journal:  Clin Med (Lond)       Date:  2019-09       Impact factor: 5.410

3.  Creating a culture of quality: our experience with providing feedback to frontline hospitalists.

Authors:  Brittany Becker; Sneha Nagavally; Nicholas Wagner; Rebekah Walker; Yogita Segon; Ankur Segon
Journal:  BMJ Open Qual       Date:  2021-03

4.  Improving Patient Outcomes by Addressing Provider Variation in Emergency Department Asthma Care.

Authors:  Emily Altick Hartford; Eileen J Klein; Russell Migita; Stephanie Richling; Jingyang Chen; Lori E Rutman
Journal:  Pediatr Qual Saf       Date:  2020-12-28

5.  How to assure the quality of clinical records? A 7-year experience in a large academic hospital.

Authors:  Enrico Scarpis; Laura Brunelli; Pierfrancesco Tricarico; Marco Poletto; Angela Panzera; Carla Londero; Luigi Castriotta; Silvio Brusaferro
Journal:  PLoS One       Date:  2021-12-09       Impact factor: 3.240

Review 6.  State-of-the-art Dashboards on Clinical Indicator Data to Support Reflection on Practice: Scoping Review.

Authors:  Bernard Bucalon; Tim Shaw; Kerri Brown; Judy Kay
Journal:  JMIR Med Inform       Date:  2022-02-14

7.  Audit and feedback to improve laboratory test and transfusion ordering in critical care: a systematic review.

Authors:  Madison Foster; Justin Presseau; Nicola McCleary; Kelly Carroll; Lauralyn McIntyre; Brian Hutton; Jamie Brehaut
Journal:  Implement Sci       Date:  2020-06-19       Impact factor: 7.327

8.  Systematic review and narrative synthesis of computerized audit and feedback systems in healthcare.

Authors:  Jung Yin Tsang; Niels Peek; Iain Buchan; Sabine N van der Veer; Benjamin Brown
Journal:  J Am Med Inform Assoc       Date:  2022-05-11       Impact factor: 7.942

9.  The diagnostic certainty levels of junior clinicians: A retrospective cohort study.

Authors:  Yang Chen; Myura Nagendran; Yakup Kilic; Dominic Cavlan; Adam Feather; Mark Westwood; Edward Rowland; Charles Gutteridge; Pier D Lambiase
Journal:  Health Inf Manag       Date:  2021-06-11       Impact factor: 3.778

  9 in total

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