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Acad Emerg Med ; 22(7): 883-6, 2015 Jul.
Article in English | MEDLINE | ID: mdl-26118834

ABSTRACT

OBJECTIVES: For patients in whom acute coronary syndrome (ACS) is a concern, disposition decisions are complex and multifactorial and have traditionally been a source of considerable variation. An important factor in disposition decisions for these patients may be physician-perceived medicolegal risk and related professional concerns. The study aim was to determine, at the point of care, how much less frequently physicians report that they would admit possible ACS patients if there was either zero or a defined medicolegal risk. METHODS: This was a point-of-care emergency physician survey. Research assistants approached physicians at or immediately following the moment of disposition decisions for patients who were being admitted for ACS. The primary outcome measures were the proportion of physicians reporting that patients would not have been admitted if medicolegal issues were of no concern and the proportion of physicians reporting that patients would not have been admitted if there was an "acceptable miss rate" of 1% to 2% for ACS patients. RESULTS: During the 3-month study period, 576 patients were admitted to an inpatient unit or to the ED observation protocol. Physicians were approached in 271 cases, and 259 surveys were completed. When presented with hypothetical zero medicolegal risk, physicians answered that they would not have admitted the patients in 30% of cases. With a hypothetical 1% to 2% acceptable miss rate, physicians indicated that they would not have admitted the patients in 29% of the cases. CONCLUSIONS: ED medicolegal and professional concerns may substantially increase admissions for possible ACS. An acceptable miss rate or a zero medicolegal risk environment could potentially lead to a major reduction in admissions that physicians feel to be clinically unnecessary.


Subject(s)
Acute Coronary Syndrome/diagnosis , Defensive Medicine/statistics & numerical data , Emergency Service, Hospital/statistics & numerical data , Hospitalization/statistics & numerical data , Chest Pain , Female , Humans , Male
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