Patient Self-Report Superior to Electronic Medical Record Abstraction for Identifying Positive COVID-19 Symptoms at Illness Onset

Autor: Gretchen L. Mockler, MD, Samantha P. Novotny, BS, Wei Hou, PhD, Yuhang Liu, MS, Elinor R. Schoenfeld, PhD
Jazyk: angličtina
Rok vydání: 2022
Předmět:
Zdroj: AJPM Focus, Vol 1, Iss 1, Pp 100005- (2022)
Druh dokumentu: article
ISSN: 2773-0654
DOI: 10.1016/j.focus.2022.100005
Popis: Introduction: Most initial COVID-19 research focused on hospitalized patients. Presenting symptomatology in the outpatient setting was poorly characterized, making it difficult for primary care physicians to predict which patients would require hospitalization. The purpose of this study was to characterize the presenting symptoms of COVID-19 infection and baseline patient characteristics and evaluate for correlation with disease severity, duration, and chronicity in the outpatient setting. Methods: A total of 107 adult, English-speaking patients with suspected and confirmed COVID-19 cases at the 3 primary care practices of Stony Brook University Hospital were studied between March and December 2020. Survey data were collected from patient telephone interviews and electronic medical record abstraction. The potential risk factors assessed included participant demographics, medical comorbidities, and the number and type of symptoms at illness onset. Outcome measures included symptom duration, hospitalizations, and persistence of symptoms at 12 weeks from study enrollment. Results: Patient self-report survey elicited nearly twice as many symptoms described at illness onset as those recorded in the electronic medical record (p
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