Literature DB >> 32511677

Clinician Practice Patterns that Result in the Diagnosis of Coccidioidomycosis Before or During Hospitalization.

Jie Pu1, Fariba M Donovan2,3, Kate Ellingson2,4, Gondy Leroy2,5, Jeff Stone3,6, Edward Bedrick4, John N Galgiani1,2,7.   

Abstract

BACKGROUND: Coccidioidomycosis (CM) is common and important within endemic regions, requiring specific testing for diagnosis. Long delays in diagnosis have been ascribed to ambulatory clinicians, but how their testing practices have impacted patient care have not been systematically unexplored.
METHODS: We analyzed practice patterns for CM diagnoses over three years within a large Arizona health care system, including location of diagnosis, patient characteristics, and care-seeking patterns associated with missed diagnosis.
RESULTS: For 2,043 CM diagnoses, 72.9% were made during hospital admission, 21.7% in ambulatory clinics, 3.2% in emergency units, and only 0.5% in urgent care units. A 40.6% subgroup of hospitalized patients required neither ICU or hospital-requiring procedures, had a median length of stay of only 3 days, but still incurred both substantial costs ($27.0 million) and unnecessary antibiotic administrations. Prior to hospital-diagnosis (median of 32 days), 45.1% of patients had one or more visits with symptoms consistent with CM, and during those visits, 71.3% were not tested for CM. Diagnoses were delayed a median of 27 days.
CONCLUSIONS: Lack of testing for CM in ambulatory care settings within a region endemic for CM resulted in a large number of hospital admissions, attendant costs, and unneeded antibacterial drug use, much of which would otherwise be unnecessary. Improving this practice is challenging since many clinicians did not train where CM is frequent, resulting in significant inertia to change. How to retrain clinicians to diagnose CM earlier is an opportunity to explore which strategies might be the most effective.
© The Author(s) 2020. Published by Oxford University Press for the Infectious Diseases Society of America. All rights reserved. For permissions, e-mail: journals.permissions@oup.com.

Entities:  

Keywords:  ambulatory; clinical practice; coccidioidomycosis; diagnosis; hospital; outcomes

Year:  2020        PMID: 32511677     DOI: 10.1093/cid/ciaa739

Source DB:  PubMed          Journal:  Clin Infect Dis        ISSN: 1058-4838            Impact factor:   9.079


  5 in total

1.  Contribution of Biologic Response Modifiers to the Risk of Coccidioidomycosis Severity.

Authors:  Fariba M Donovan; Ferris A Ramadan; James R Lim; Julia E Buchfuhrer; Rebia N Khan; Natalie P DeQuillfeldt; Natalie M Davis; Ashwini Kaveti; Melanie De Shadarevian; Edward J Bedrick; John N Galgiani
Journal:  Open Forum Infect Dis       Date:  2022-01-27       Impact factor: 3.835

Review 2.  Cross-Sectional Study of Clinical Predictors of Coccidioidomycosis, Arizona, USA.

Authors:  Ferris A Ramadan; Katherine D Ellingson; Robert A Canales; Edward J Bedrick; John N Galgiani; Fariba M Donovan
Journal:  Emerg Infect Dis       Date:  2022-06       Impact factor: 16.126

3.  Clinical and Economic Burden of Valley Fever in Arizona: An Incidence-Based Cost-of-Illness Analysis.

Authors:  Amy J Grizzle; Leslie Wilson; David E Nix; John N Galgiani
Journal:  Open Forum Infect Dis       Date:  2020-12-28       Impact factor: 3.835

Review 4.  Current Landscape of Coccidioidomycosis.

Authors:  Ryan Boro; Prema C Iyer; Maciej A Walczak
Journal:  J Fungi (Basel)       Date:  2022-04-17

Review 5.  Update on the Epidemiology, Diagnosis, and Treatment of Coccidioidomycosis.

Authors:  Samantha L Williams; Tom Chiller
Journal:  J Fungi (Basel)       Date:  2022-06-25
  5 in total

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