Evidence map›Paper›PMID 42837149›Full record

ArticleJAMA network open2026

Classification of Emergency Diagnosis-Sensitive Conditions Among Medicare Beneficiaries.

Laura G Burke, Ryan C Burke, E John Orav, Amber K Sabbatini, Adrian D Haimovich, Jonathan A Edlow, Jose F Figueroa, Michelle P Lin

Abstract read
In one paragraph

Article in JAMA network open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Laura G BurkeDepartment of Emergency Medicine, Rhode Island Hospital, Providence.
Ryan C BurkeDepartment of Emergency Medicine, Rhode Island Hospital, Providence.
E John OravDivision of General Internal Medicine, Brigham and Women's Hospital, Boston, Massachusetts.
Amber K SabbatiniDepartment of Emergency Medicine, University of Washington, Seattle.
Adrian D HaimovichHarvard Medical School, Boston, Massachusetts.
Jonathan A EdlowHarvard Medical School, Boston, Massachusetts.
Jose F FigueroaHarvard Medical School, Boston, Massachusetts.
Michelle P LinDepartment of Emergency Medicine, Stanford University, Palo Alto, California.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: Diagnostic accuracy is a key driver of emergency department (ED) quality, yet little consensus exists on which conditions to target. Objective: To develop a list of emergency diagnosis-sensitive conditions (EDSCs) for measuring diagnostic error in the ED. Design, Setting, and Participants: This retrospective cross-sectional study examined a national sample of claims for fee-for-service Medicare beneficiaries 65 years or older with nonelective hospitalizations from January 1, 2022, to December 31, 2024. Exposure: Potential diagnostic errors in the ED. Main Outcomes and Measures: A panel of 5 clinician investigators reviewed principal discharge International Statistical Classification of Diseases and Related Health Problems, Tenth Revision diagnosis codes and determined whether each met criteria for an EDSC-a disease that is emergency care sensitive, at risk of diagnostic error, and should be diagnosed in the ED or on admission. The percentage of each EDSC's admissions preceded within 9 days by a potential diagnostic error (ED discharge) was characterized. To account for background ED utilization, an adjusted potential diagnostic error percentage was calculated by subtracting the percentage of a comparison cohort with at least 1 ED visit in the 9 days preceding a randomly selected date. The incidence of potential diagnostic errors per 10 000 ED discharges was calculated. Thirty-day morbidity (number of healthy days at home [HDAH]) and mortality were characterized. High-priority EDSCs were those in the top half of diagnostic errors per 10 000 ED discharges and in the top quartile of either mortality or HDAH lost. For high-priority conditions, the 20 most frequent diagnoses on preceding ED discharges were tabulated. Results: Of 19 973 diagnosis codes identified, 1802 were aggregated into 76 EDSC categories. Of 14 671 540 admissions, 2 852 901 (19.4%) were for EDSCs. Of these EDSC admissions, 713 601 (25.0%) occurred among adults 85 years or older, and 1 493 822 (52.4%) were among women. The EDSCs with the highest and lowest adjusted percentages of admissions preceded by a potential ED diagnostic error were Guillain-Barré syndrome (16.6%; 95% CI, 15.4%-17.9%) and acute appendicitis (1.4%; 95% CI, 1.3%-1.5%), respectively. Pneumonia had the highest adjusted incidence of potential diagnostic errors per 10 000 ED discharges (9.30; 95% CI, 9.18-9.42) despite a moderate adjusted potential diagnostic error percentage per 10 000 ED discharges (4.4%; 95% CI, 4.3%-4.5%). Symptom-based diagnoses were frequent on ED discharges preceding EDSC admissions. Conclusions and Relevance: In this retrospective observational study of Medicare beneficiaries, EDSCs were used to characterize the population burden of potential diagnostic errors in emergency care and associated clinical presentations.

Indexed as

Diagnostic ErrorsEmergency Service, HospitalMedicareAgedAged, 80 and overCross-Sectional StudiesEmergency Room VisitsFemaleHumansMaleRetrospective StudiesUnited States

Identifiers

PMID42837149
PMCPMC13643580

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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.