Literature DB >> 26088770

Low correlation between self-report and medical record documentation of urinary tract infection symptoms.

Jose F Echaiz1, Candice Cass1, Jeffrey P Henderson1, Hilary M Babcock1, Jonas Marschall2.   

Abstract

BACKGROUND: Correlations between symptom documentation in medical records and patient self-report (SR) vary depending on the condition studied. Patient symptoms are particularly important in urinary tract infection (UTI) diagnosis, and this correlation for UTI symptoms is currently unknown.
METHODS: This is a cross-sectional survey study in hospitalized patients with Escherichia coli bacteriuria. Patients were interviewed within 24 hours of diagnosis for the SR of UTI symptoms. We reviewed medical records for UTI symptoms documented by admitting or treating inpatient physicians (IPs), nurses (RNs), and emergency physicians (EPs). The level of agreement between groups was assessed using Cohen κ coefficient.
RESULTS: Out of 43 patients, 34 (79%) self-reported at least 1 of 6 primary symptoms. The most common self-reported symptoms were urinary frequency (53.5%); retention (41.9%); flank pain, suprapubic pain, and fatigue (37.2% each); and dysuria (30.2%). Correlation between SR and medical record documentation was slight to fair (κ, 0.06-0.4 between SR and IPs and 0.09-0.5 between SR and EDs). Positive agreement was highest for dysuria and frequency.
CONCLUSION: Correlation between self-reported UTI symptoms and health care providers' documentation was low to fair. Because medical records are a vital source of information for clinicians and researchers and symptom assessment and documentation are vital in distinguishing UTI from asymptomatic bacteriuria, efforts must be made to improve documentation.
Copyright © 2015 Association for Professionals in Infection Control and Epidemiology, Inc. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Correlation; Medical record; Self-report; Symptom; Urinary tract infection

Mesh:

Year:  2015        PMID: 26088770      PMCID: PMC4861684          DOI: 10.1016/j.ajic.2015.04.208

Source DB:  PubMed          Journal:  Am J Infect Control        ISSN: 0196-6553            Impact factor:   2.918


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