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. 2018 Apr 1;178(4):477-484.
doi: 10.1001/jamainternmed.2017.8628.

Unrecognized Cardiovascular Emergencies Among Medicare Patients

Affiliations

Unrecognized Cardiovascular Emergencies Among Medicare Patients

Daniel A Waxman et al. JAMA Intern Med. .

Abstract

Importance: The Institute of Medicine described diagnostic error as the next frontier in patient safety and highlighted a critical need for better measurement tools.

Objectives: To estimate the proportions of emergency department (ED) visits attributable to symptoms of imminent ruptured abdominal aortic aneurysm (AAA), acute myocardial infarction (AMI), stroke, aortic dissection, and subarachnoid hemorrhage (SAH) that end in discharge without diagnosis; to evaluate longitudinal trends; and to identify patient characteristics independently associated with missed diagnostic opportunities.

Design, setting, and participants: This was a retrospective cohort study of all Medicare claims for 2006 to 2014. The setting was hospital EDs in the United States. Participants included all fee-for-service Medicare patients admitted to the hospital during 2007 to 2014 for the conditions of interest. Hospice enrollees and patients with recent skilled nursing facility stays were excluded.

Main outcomes and measures: The proportion of potential diagnostic opportunities missed in the ED was estimated using the difference between observed and expected ED discharges within 45 days of the index hospital admissions as the numerator, basing expected discharges on ED use by the same patients in earlier months. The denominator was estimated as the number of recognized emergencies (index hospital admissions) plus unrecognized emergencies (excess discharges).

Results: There were 1 561 940 patients, including 17 963 hospitalized for ruptured AAA, 304 980 for AMI, 1 181 648 for stroke, 19 675 for aortic dissection, and 37 674 for SAH. The mean (SD) age was 77.9 (10.3) years; 8.9% were younger than 65 years, and 54.1% were female. The proportions of diagnostic opportunities missed in the ED were as follows: ruptured AAA (3.4%; 95% CI, 2.9%-4.0%), AMI (2.3%; 95% CI, 2.1%-2.4%), stroke (4.1%; 95% CI, 4.0%-4.2%), aortic dissection (4.5%; 95% CI, 3.9%-5.1%), and SAH (3.5%; 95% CI, 3.1%-3.9%). Longitudinal trends were either nonsignificant (AMI and aortic dissection) or increasing (ruptured AAA, stroke, and SAH). Patient characteristics associated with unrecognized emergencies included age younger than 65 years, dual eligibility for Medicare and Medicaid coverage, female sex, and each of the following chronic conditions: end-stage renal disease, dementia, depression, diabetes, cerebrovascular disease, hypertension, coronary artery disease, and chronic obstructive pulmonary disease.

Conclusions and relevance: Among Medicare patients, opportunities to diagnose ruptured AAA, AMI, stroke, aortic dissection, and SAH are missed in less than 1 in 20 ED presentations. Further improvement may prove difficult.

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Conflict of interest statement

Conflict of Interest Disclosures: Dr Schriger received salary support through an unrestricted grant from the Korein Foundation. No other conflicts are reported.

Figures

Figure 1.
Figure 1.. Emergency Department (ED) Discharges by Time Before Index Visit for Acute Myocardial Infarction
The timing of ED discharges among the 304 980 patients ultimately diagnosed as having acute myocardial infarction. The height of each vertical bar represents the observed number of daily ED discharges, and the regression line represents the number expected. The logistic regression was fitted using the unshaded portion of the graph (ie, days 365-46). The number of unrecognized diagnostic opportunities is represented as the net difference between the number of ED discharges observed (vertical bars) and the number expected (regression line) during the 45 days preceding the index hospital admission (shaded area). eFigure 1 in the Supplement provides a similar illustration of the other 4 conditions.
Figure 2.
Figure 2.. Unrecognized Emergencies by Type and Year
Shown are longitudinal trends. Yearly point estimates and 95% CIs are calculated in the same manner as for the results presented in Table 2 but using the subset of patients whose index hospital admission began during the calendar year.

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References

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