Evidence map›Paper›PMID 33597282›Full record

ArticleBMJ quality & safety2021

Use of patient complaints to identify diagnosis-related safety concerns: a mixed-method evaluation.

Traber D Giardina, Saritha Korukonda, Umber Shahid, Viralkumar Vaghani, Divvy K Upadhyay, Greg F Burke, Hardeep Singh

Open access · hybridAbstract read
In one paragraph

Article in BMJ quality & safety, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
8.9field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

20 citing papers in PubMed, 1 synthesis or guideline pooled it, 36 citations in OpenAlex.

  1. Pooled it
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  9. The evolution of patient-reported safety concerns during the COVID-19 pandemic within a series of study questionnaires: a multi-method analysis.International journal for quality in health care : journal of the International Society for Quality in Health Care · 2025
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  10. Observational
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  16. Co-Design with Patients for Improving Patient Safety: Strategies, Barriers and pitfalls.Proceedings of the Human Factors and Ergonomics Society ... Annual Meeting. Human Factors and Ergonomics Society. Annual meeting · 2023
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 1 country.

Traber D GiardinaCenter for Innovations in Quality, Effectiveness and Safety, Michael E. DeBakey Veterans Affairs Medical Center, Houston, TX, USA traberd@bcm.edu.ORCID 0000-0002-9184-6524
Saritha KorukondaInvestigator Initiated Research Operations, Geisinger, Danville, PA, USA.
Umber ShahidCenter for Innovations in Quality, Effectiveness and Safety, Michael E. DeBakey Veterans Affairs Medical Center, Houston, TX, USA.
Viralkumar VaghaniCenter for Innovations in Quality, Effectiveness and Safety, Michael E. DeBakey Veterans Affairs Medical Center, Houston, TX, USA.
Divvy K UpadhyayDivision of Quality, Safety and Patient Experience, Geisinger, Danville, PA, USA.
Greg F BurkeDivision of Quality, Safety and Patient Experience, Geisinger, Danville, PA, USA.
Hardeep SinghCenter for Innovations in Quality, Effectiveness and Safety, Michael E. DeBakey Veterans Affairs Medical Center, Houston, TX, USA.ORCID 0000-0002-4419-8974
Michael E. DeBakey VA Medical Center · USGeisinger Medical Center · US

Funding

Application of a Machine Learning to Enhance e-Triggers to Detect and Learn from Diagnostic Safety EventsR01HS027363 · AHRQ · BAYLOR COLLEGE OF MEDICINE · PI SINGH, HARDEEP · 2019 to 2021
$1.5M
Engaging Patients in Diagnostic Error ReportingK01HS025474 · AHRQ · BAYLOR COLLEGE OF MEDICINE · PI GIARDINA, TRABER L · 2018 to 2022
$764k
AHRQ HHS K01 HS025474AHRQ HHS R01 HS027363
6 · The paper itself

Abstract

backgroundPatient complaints are associated with adverse events and malpractice claims but underused in patient safety improvement.

objectiveTo systematically evaluate the use of patient complaint data to identify safety concerns related to diagnosis as an initial step to using this information to facilitate learning and improvement.

methodsWe reviewed patient complaints submitted to Geisinger, a large healthcare organisation in the USA, from August to December 2017 (cohort 1) and January to June 2018 (cohort 2). We selected complaints more likely to be associated with diagnostic concerns in Geisinger's existing complaint taxonomy. Investigators reviewed all complaint summaries and identified cases as 'concerning' for diagnostic error using the National Academy of Medicine's definition of diagnostic error. For all 'concerning' cases, a clinician-reviewer evaluated the associated investigation report and the patient's medical record to identify any missed opportunities in making a correct or timely diagnosis. In cohort 2, we selected a 10% sample of 'concerning' cases to test this smaller pragmatic sample as a proof of concept for future organisational monitoring.

resultsIn cohort 1, we reviewed 1865 complaint summaries and identified 177 (9.5%) concerning reports. Review and analysis identified 39 diagnostic errors. Most were categorised as 'Clinical Care issues' (27, 69.2%), defined as concerns/questions related to the care that is provided by clinicians in any setting. In cohort 2, we reviewed 2423 patient complaint summaries and identified 310 (12.8%) concerning reports. The 10% sample (n=31 cases) contained five diagnostic errors. Qualitative analysis of cohort 1 cases identified concerns about return visits for persistent and/or worsening symptoms, interpersonal issues and diagnostic testing.

conclusionsAnalysis of patient complaint data and corresponding medical record review identifies patterns of failures in the diagnostic process reported by patients and families. Health systems could systematically analyse available data on patient complaints to monitor diagnostic safety concerns and identify opportunities for learning and improvement.

Indexed as

Patient SafetyPatient SatisfactionHumansdiagnostic errorshealthcare quality improvementhealth services researchpatient safety

Identifiers

PMID33597282
PMCPMC8552507
OpenAlexW3129772168

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.