Adverse diagnostic events in hospitalised patients: a single-centre, retrospective cohort study.

Adverse events, epidemiology and detection Diagnostic errors Hospital medicine Information technology Patient safety

Journal

BMJ quality & safety
ISSN: 2044-5423
Titre abrégé: BMJ Qual Saf
Pays: England
ID NLM: 101546984

Informations de publication

Date de publication:
01 Oct 2024
Historique:
received: 30 01 2024
accepted: 12 08 2024
medline: 3 10 2024
pubmed: 3 10 2024
entrez: 1 10 2024
Statut: aheadofprint

Résumé

Adverse event surveillance approaches underestimate the prevalence of harmful diagnostic errors (DEs) related to hospital care. We conducted a single-centre, retrospective cohort study of a stratified sample of patients hospitalised on general medicine using four criteria: transfer to intensive care unit (ICU), death within 90 days, complex clinical events, and none of the aforementioned high-risk criteria. Cases in higher-risk subgroups were over-sampled in predefined percentages. Each case was reviewed by two adjudicators trained to judge the likelihood of DE using the Safer Dx instrument; characterise harm, preventability and severity; and identify associated process failures using the Diagnostic Error Evaluation and Research Taxonomy modified for acute care. Cases with discrepancies or uncertainty about DE or impact were reviewed by an expert panel. We used descriptive statistics to report population estimates of harmful, preventable and severely harmful DEs by demographic variables based on the weighted sample, and characteristics of harmful DEs. Multivariable models were used to adjust association of process failures with harmful DEs. Of 9147 eligible cases, 675 were randomly sampled within each subgroup: 100% of ICU transfers, 38.5% of deaths within 90 days, 7% of cases with complex clinical events and 2.4% of cases without high-risk criteria. Based on the weighted sample, the population estimates of harmful, preventable and severely harmful DEs were 7.2% (95% CI 4.66 to 9.80), 6.1% (95% CI 3.79 to 8.50) and 1.1% (95% CI 0.55 to 1.68), respectively. Harmful DEs were frequently characterised as delays (61.9%). Severely harmful DEs were frequent in high-risk cases (55.1%). In multivariable models, process failures in assessment, diagnostic testing, subspecialty consultation, patient experience, and history were significantly associated with harmful DEs. We estimate that a harmful DE occurred in 1 of every 14 patients hospitalised on general medicine, the majority of which were preventable. Our findings underscore the need for novel approaches for adverse DE surveillance.

Sections du résumé

BACKGROUND BACKGROUND
Adverse event surveillance approaches underestimate the prevalence of harmful diagnostic errors (DEs) related to hospital care.
METHODS METHODS
We conducted a single-centre, retrospective cohort study of a stratified sample of patients hospitalised on general medicine using four criteria: transfer to intensive care unit (ICU), death within 90 days, complex clinical events, and none of the aforementioned high-risk criteria. Cases in higher-risk subgroups were over-sampled in predefined percentages. Each case was reviewed by two adjudicators trained to judge the likelihood of DE using the Safer Dx instrument; characterise harm, preventability and severity; and identify associated process failures using the Diagnostic Error Evaluation and Research Taxonomy modified for acute care. Cases with discrepancies or uncertainty about DE or impact were reviewed by an expert panel. We used descriptive statistics to report population estimates of harmful, preventable and severely harmful DEs by demographic variables based on the weighted sample, and characteristics of harmful DEs. Multivariable models were used to adjust association of process failures with harmful DEs.
RESULTS RESULTS
Of 9147 eligible cases, 675 were randomly sampled within each subgroup: 100% of ICU transfers, 38.5% of deaths within 90 days, 7% of cases with complex clinical events and 2.4% of cases without high-risk criteria. Based on the weighted sample, the population estimates of harmful, preventable and severely harmful DEs were 7.2% (95% CI 4.66 to 9.80), 6.1% (95% CI 3.79 to 8.50) and 1.1% (95% CI 0.55 to 1.68), respectively. Harmful DEs were frequently characterised as delays (61.9%). Severely harmful DEs were frequent in high-risk cases (55.1%). In multivariable models, process failures in assessment, diagnostic testing, subspecialty consultation, patient experience, and history were significantly associated with harmful DEs.
CONCLUSIONS CONCLUSIONS
We estimate that a harmful DE occurred in 1 of every 14 patients hospitalised on general medicine, the majority of which were preventable. Our findings underscore the need for novel approaches for adverse DE surveillance.

Identifiants

pubmed: 39353737
pii: bmjqs-2024-017183
doi: 10.1136/bmjqs-2024-017183
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Investigateurs

David Lee (D)
Daniel Palazuelos (D)
Myrna Katalina Serna (MK)
Anne Kozak (A)
Khelsea O'Brien (K)
Shela Shah (S)
Mohammed Wazir (M)
Chadi Cortas (C)
Caroline Yang (C)

Informations de copyright

© Author(s) (or their employer(s)) 2024. No commercial re-use. See rights and permissions. Published by BMJ.

Déclaration de conflit d'intérêts

Competing interests: None declared.

Auteurs

Anuj K Dalal (AK)

Department of Medicine, Division of General Internal Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA adalal1@bwh.harvard.edu.
Harvard Medical School, Boston, Massachusetts, USA.
Mass General Brigham, Boston, Massachusetts, USA.

Savanna Plombon (S)

Department of Medicine, Division of General Internal Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA.
Mass General Brigham, Boston, Massachusetts, USA.

Kaitlyn Konieczny (K)

Department of Medicine, Division of General Internal Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA.

Daniel Motta-Calderon (D)

Department of Medicine, Division of General Internal Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA.
Vanderbilt University Medical Center, Nashville, Tennessee, USA.

Maria Malik (M)

Department of Medicine, Division of General Internal Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA.
Dartmouth-Hitchcock Medical Center, Lebanon, Pennsylvania, USA.

Alison Garber (A)

Department of Medicine, Division of General Internal Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA.
Columbia University Vagelos College of Physicians and Surgeons, New York, New York, USA.

Alyssa Lam (A)

Department of Medicine, Division of General Internal Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA.

Nicholas Piniella (N)

Department of Medicine, Division of General Internal Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA.

Marie Leeson (M)

Department of Medicine, Division of General Internal Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA.

Pamela Garabedian (P)

Department of Medicine, Division of General Internal Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA.
Mass General Brigham, Boston, Massachusetts, USA.

Abhishek Goyal (A)

Department of Medicine, Division of General Internal Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA.
Mass General Brigham, Boston, Massachusetts, USA.

Stephanie Roulier (S)

Department of Medicine, Division of General Internal Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA.
Mass General Brigham, Boston, Massachusetts, USA.

Cathy Yoon (C)

Department of Medicine, Division of General Internal Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA.

Julie M Fiskio (JM)

Mass General Brigham, Boston, Massachusetts, USA.

Kumiko O Schnock (KO)

Department of Medicine, Division of General Internal Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA.
Harvard Medical School, Boston, Massachusetts, USA.

Ronen Rozenblum (R)

Department of Medicine, Division of General Internal Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA.
Harvard Medical School, Boston, Massachusetts, USA.

Jacqueline Griffin (J)

Department of Industrial Engineering, Northeastern University - Boston Campus, Boston, Massachusetts, USA.

Jeffrey L Schnipper (JL)

Department of Medicine, Division of General Internal Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA.
Harvard Medical School, Boston, Massachusetts, USA.
Mass General Brigham, Boston, Massachusetts, USA.

Stuart Lipsitz (S)

Department of Medicine, Division of General Internal Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA.
Harvard Medical School, Boston, Massachusetts, USA.

David W Bates (DW)

Department of Medicine, Division of General Internal Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA.
Harvard Medical School, Boston, Massachusetts, USA.
Mass General Brigham, Boston, Massachusetts, USA.

Classifications MeSH