Jie Pu1, Fariba M Donovan2,3, Kate Ellingson2,4, Gondy Leroy2,5, Jeff Stone3,6, Edward Bedrick4, John N Galgiani1,2,7. 1. Division of Data Analytics, Banner Health Corporation, Phoenix AZ. 2. Valley Fever Center for Excellence, U. Arizona College of Medicine-Tucson,Tucson AZ. 3. Department of Medicine, U. Arizona College of Medicine-Tucson, Tucson AZ. 4. Department of Epidemiology and Biostatistics, U. Arizona College of Public Health, Tucson AZ. 5. Management Information Systems, U. Arizona Eller College of Business, Tucson AZ. 6. Arizona Cancer Center, U. Arizona, Tucson AZ. 7. Department of Medicine, U. Arizona College of Medicine-Phoenix, Phoenix AZ.
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.
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.
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
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