Literature DB >> 33006949

Feasibility of patient-reported diagnostic errors following emergency department discharge: a pilot study.

Kelly T Gleason1, Susan Peterson2, Cheryl R Dennison Himmelfarb1,2, Mariel Villanueva1, Taylor Wynn1, Paula Bondal1, Daniel Berg3, Welcome Jerde3, David Newman-Toker2.   

Abstract

OBJECTIVES: The National Academy of Medicine identified diagnostic error as a pressing public health concern and defined failure to effectively communicate the diagnosis to patients as a diagnostic error. Leveraging Patient's Experience to improve Diagnosis (LEAPED) is a new program for measuring patient-reported diagnostic error. As a first step, we sought to assess the feasibility of using LEAPED after emergency department (ED) discharge.
METHODS: We deployed LEAPED using a cohort design at three EDs within one academic health system. We enrolled 59 patients after ED discharge and queried them about their health status and understanding of the explanation for their health problems at 2-weeks, 1-month, and 3-months. We measured response rates and demographic/clinical predictors of patient uptake of LEAPED.
RESULTS: Of those enrolled (n=59), 90% (n=53) responded to the 2-week post-ED discharge questionnaire (1 and 3-month ongoing). Of the six non-responders, one died and three were hospitalized at two weeks. The average age was 50 years (SD 16) and 64% were female; 53% were white and 41% were black. Over a fifth (23%) reported they were not given an explanation of their health problem on leaving the ED, and of those, a fourth (25%) did not have an understanding of what next steps to take after leaving the ED.
CONCLUSIONS: Patient uptake of LEAPED was high, suggesting that patient-report may be a feasible method of evaluating the effectiveness of diagnostic communication to patients though further testing in a broader patient population is essential. Future research should determine if LEAPED yields important insights into the quality and safety of diagnostic care.
© 2020 Walter de Gruyter GmbH, Berlin/Boston.

Entities:  

Keywords:  diagnostic error; measurement; patient engagement; patient-reported outcome measures

Mesh:

Year:  2020        PMID: 33006949      PMCID: PMC8019684          DOI: 10.1515/dx-2020-0014

Source DB:  PubMed          Journal:  Diagnosis (Berl)        ISSN: 2194-802X


  16 in total

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2.  Quality of discharge practices and patient understanding at an academic medical center.

Authors:  Leora I Horwitz; John P Moriarty; Christine Chen; Robert L Fogerty; Ursula C Brewster; Sandhya Kanade; Boback Ziaeian; Grace Y Jenq; Harlan M Krumholz
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Journal:  J Biomed Inform       Date:  2019-05-09       Impact factor: 6.317

Review 5.  Patient centred diagnosis: sharing diagnostic decisions with patients in clinical practice.

Authors:  Zackary D Berger; Juan P Brito; Naykky Singh Ospina; Suraj Kannan; Jeremiah S Hinson; Erik P Hess; Helen Haskell; Victor M Montori; David E Newman-Toker
Journal:  BMJ       Date:  2017-11-01

Review 6.  Patient-Perceived Facilitators of and Barriers to Electronic Portal Use: A Systematic Review.

Authors:  Kimberly R Powell
Journal:  Comput Inform Nurs       Date:  2017-11       Impact factor: 1.985

Review 7.  Can patients report patient safety incidents in a hospital setting? A systematic review.

Authors:  Jane K Ward; Gerry Armitage
Journal:  BMJ Qual Saf       Date:  2012-05-05       Impact factor: 7.035

8.  The incidence of diagnostic error in medicine.

Authors:  Mark L Graber
Journal:  BMJ Qual Saf       Date:  2013-06-15       Impact factor: 7.035

9.  The frequency of diagnostic errors in outpatient care: estimations from three large observational studies involving US adult populations.

Authors:  Hardeep Singh; Ashley N D Meyer; Eric J Thomas
Journal:  BMJ Qual Saf       Date:  2014-04-17       Impact factor: 7.035

10.  Application of electronic trigger tools to identify targets for improving diagnostic safety.

Authors:  Daniel R Murphy; Ashley Nd Meyer; Dean F Sittig; Derek W Meeks; Eric J Thomas; Hardeep Singh
Journal:  BMJ Qual Saf       Date:  2018-10-05       Impact factor: 7.035

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  1 in total

1.  Patient Feedback on Research Studies: How to Interpret Feedback from the 'Aware' Patient?

Authors:  Kelly T Gleason; Hae-Ra Han
Journal:  Patient       Date:  2020-10-13       Impact factor: 3.883

  1 in total

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