Evidence map›Paper›PMID 28148486›Full record

ArticleBMJ (Clinical research ed.)2017

Early death after discharge from emergency departments: analysis of national US insurance claims data.

Ziad Obermeyer, Brent Cohn, Michael Wilson, Anupam B Jena, David M Cutler

Abstract read
In one paragraph

Article in BMJ (Clinical research ed.), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed
–field-weighted citation impact
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

46 citing papers in PubMed.

  1. Article
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  6. What risk of death is acceptable?Canadian family physician Medecin de famille canadien · 2025
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  12. Observational
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  20. A longitudinal, retrospective registry-based validation study of RETTS©, the Swedish adult ED context version.Scandinavian journal of trauma, resuscitation and emergency medicine · 2022
    Article
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

5 authors.

Ziad ObermeyerDepartment of Emergency Medicine, Harvard Medical School, Boston, MA 02115, USA zobermeyer@bwh.harvard.edu.
Brent CohnDepartment of Emergency Medicine, Brigham and Women's Hospital, Boston, MA 02115, USA.
Michael WilsonDepartment of Emergency Medicine, Harvard Medical School, Boston, MA 02115, USA.
Anupam B JenaDepartment of Health Care Policy, Harvard Medical School, Boston, MA 02115, USA.
David M CutlerDepartment of Economics, Harvard University, Cambridge, MA 02138, USA.

Funding

Physician Determinants of Health Care Spending, Quality, and Patient OutcomesDP5OD017897 · OD · HARVARD MEDICAL SCHOOL · PI JENA, ANUPAM BAPU · 2013 to 2017
$2.1M
Unexpected death after medical encounters: Measurement, reporting, and analysisDP5OD012161 · OD · BRIGHAM AND WOMEN'S HOSPITAL · PI OBERMEYER, ZIAD · 2012 to 2016
$1.6M
NIH HHS DP5 OD012161NIH HHS DP5 OD017897
6 · The paper itself

Abstract

objectiveTo measure incidence of early death after discharge from emergency departments, and explore potential sources of variation in risk by measurable aspects of hospitals and patients.

designRetrospective cohort study.

settingClaims data from the US Medicare program, covering visits to an emergency department, 2007-12.

participantsNationally representative 20% sample of Medicare fee for service beneficiaries. As the focus was on generally healthy people living in the community, patients in nursing facilities, aged ≥90, receiving palliative or hospice care, or with a diagnosis of a life limiting illnesses, either during emergency department visits (for example, myocardial infarction) or in the year before (for example, malignancy) were excluded.

main outcome measureDeath within seven days after discharge from the emergency department, excluding patients transferred or admitted as inpatients.

resultsAmong discharged patients, 0.12% (12 375/10 093 678, in the 20% sample over 2007-12) died within seven days, or 10 093 per year nationally. Mean age at death was 69. Leading causes of death on death certificates were atherosclerotic heart disease (13.6%), myocardial infarction (10.3%), and chronic obstructive pulmonary disease (9.6%). Some 2.3% died of narcotic overdose, largely after visits for musculoskeletal problems. Hospitals in the lowest fifth of rates of inpatient admission from the emergency department had the highest rates of early death (0.27%)-3.4 times higher than hospitals in the highest fifth (0.08%)-despite the fact that hospitals with low admission rates served healthier populations, as measured by overall seven day mortality among all comers to the emergency department. Small increases in admission rate were linked to large decreases in risk. In multivariate analysis, emergency departments that saw higher volumes of patients (odds ratio 0.84, 95% confidence interval 0.81 to 0.86) and those with higher charges for visits (0.75, 0.74 to 0.77) had significantly fewer deaths. Certain diagnoses were more common among early deaths compared with other emergency department visits: altered mental status (risk ratio 4.4, 95% confidence interval 3.8 to 5.1), dyspnea (3.1, 2.9 to 3.4), and malaise/fatigue (3.0, 2.9 to 3.7).

conclusionsEvery year, a substantial number of Medicare beneficiaries die soon after discharge from emergency departments, despite no diagnosis of a life limiting illnesses recorded in their claims. Further research is needed to explore whether these deaths were preventable.

Indexed as

Cause of DeathMortality, PrematureAdministrative Claims, HealthcareAgedEmergency Service, HospitalFees and ChargesFemaleHospitals, High-VolumeHospitals, Low-VolumeHumansIncidenceMaleMedicareMiddle AgedPatient AdmissionPatient Discharge

Identifiers

PMID28148486
PMCPMC6168034

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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.