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Non-urgent use of emergency departments: populations most likely to overestimate illness severity.
- Source :
-
Internal and emergency medicine [Intern Emerg Med] 2018 Sep; Vol. 13 (6), pp. 893-900. Date of Electronic Publication: 2018 Jan 29. - Publication Year :
- 2018
-
Abstract
- Patients' overestimation of their illness severity appears to contribute to the national epidemic of emergency department (ED) overcrowding. This study aims to elucidate which patient populations are more likely to have a higher estimation of illness severity (EIS). The investigator surveyed demographic factors of all non-urgent patients at an academic ED. The patients and physicians were asked to estimate the patients' illness severity using a 1-10 scale with anchors. The difference of these values was taken and compared across patient demographic subgroups using a 2-sample t-test. One hundred and seventeen patients were surveyed. The mean patient EIS was 5.22 (IQR 4), while the mean physician EIS was less severe at 7.57 (IQR 3), a difference of 2.35 (p < 0.0001). Patient subgroups with the highest EIS compared to the physicians' EIS include those who were self-referred (difference of 2.65, p = 0.042), with income ≤ $25,000 (difference of 2.96, p = 0.004), with less than a college education (difference of 2.83, p = 0.018), and with acute-on-chronic musculoskeletal pain (difference of 4.17, p = 0.001). If we assume the physicians' EIS is closer to the true illness severity, patients with lower socioeconomic status, lower education status, who were self-referred, and who suffered from acute-on-chronic musculoskeletal pain are more likely to overestimate their illness severity and may contribute to non-urgent use of the ED. They may benefit from further education or resources for care to prevent ED misuse. The large difference of acute-on-chronic musculoskeletal pain may reflect a physician's bias to underestimate the severity of a patients' illness in this particular population.
- Subjects :
- Adult
Aged
Cross-Sectional Studies
Educational Status
Emergency Service, Hospital organization & administration
Emergency Service, Hospital statistics & numerical data
Female
Humans
Income statistics & numerical data
Injury Severity Score
Male
Middle Aged
Patients statistics & numerical data
Pennsylvania
Statistics as Topic methods
Patient Acuity
Patients psychology
Statistics as Topic standards
Subjects
Details
- Language :
- English
- ISSN :
- 1970-9366
- Volume :
- 13
- Issue :
- 6
- Database :
- MEDLINE
- Journal :
- Internal and emergency medicine
- Publication Type :
- Academic Journal
- Accession number :
- 29380133
- Full Text :
- https://doi.org/10.1007/s11739-018-1792-3