TY - JOUR
T1 - The incidence, duration, risk factors, and age-based variation of missed opportunities to diagnose pertussis
T2 - A population-based cohort study
AU - Evans, Nicholas J.
AU - Arakkal, Alan T.
AU - Cavanaugh, Joseph E.
AU - Newland, Jason G.
AU - Polgreen, Philip M.
AU - Miller, Aaron C.
N1 - Publisher Copyright:
© The Author(s), 2023. Published by Cambridge University Press on behalf of The Society for Healthcare Epidemiology of America.
PY - 2023/3/15
Y1 - 2023/3/15
N2 - Objective: To estimate the incidence, duration and risk factors for diagnostic delays associated with pertussis. Design: We used longitudinal retrospective insurance claims from the Marketscan Commercial Claims and Encounters, Medicare Supplemental (2001-2020), and Multi-State Medicaid (2014-2018) databases. Setting: Inpatient, emergency department, and outpatient visits. Patients: The study included patients diagnosed with pertussis (International Classification of Diseases [ICD] codes) and receipt of macrolide antibiotic treatment. Methods: We estimated the number of visits with pertussis-related symptoms before diagnosis beyond that expected in the absence of diagnostic delays. Using a bootstrapping approach, we estimated the number of visits representing a delay, the number of missed diagnostic opportunities per patient, and the duration of delays. Results were stratified by age groups. We also used a logistic regression model to evaluate potential factors associated with delay. Results: We identified 20,828 patients meeting inclusion criteria. On average, patients had almost 2 missed opportunities prior to diagnosis, and delay duration was 12 days. Across age groups, the percentage of patients experiencing a delay ranged from 29.7% to 37.6%. The duration of delays increased considerably with age from an average of 5.6 days for patients aged <2 years to 13.8 days for patients aged ≥18 years. Factors associated with increased risk of delays included emergency department visits, telehealth visits, and recent prescriptions for antibiotics not effective against pertussis. Conclusions: Diagnostic delays for pertussis are frequent. More work is needed to decrease diagnostic delays, especially among adults. Earlier case identification may play an important role in the response to outbreaks by facilitating treatment, isolation, and improved contact tracing.
AB - Objective: To estimate the incidence, duration and risk factors for diagnostic delays associated with pertussis. Design: We used longitudinal retrospective insurance claims from the Marketscan Commercial Claims and Encounters, Medicare Supplemental (2001-2020), and Multi-State Medicaid (2014-2018) databases. Setting: Inpatient, emergency department, and outpatient visits. Patients: The study included patients diagnosed with pertussis (International Classification of Diseases [ICD] codes) and receipt of macrolide antibiotic treatment. Methods: We estimated the number of visits with pertussis-related symptoms before diagnosis beyond that expected in the absence of diagnostic delays. Using a bootstrapping approach, we estimated the number of visits representing a delay, the number of missed diagnostic opportunities per patient, and the duration of delays. Results were stratified by age groups. We also used a logistic regression model to evaluate potential factors associated with delay. Results: We identified 20,828 patients meeting inclusion criteria. On average, patients had almost 2 missed opportunities prior to diagnosis, and delay duration was 12 days. Across age groups, the percentage of patients experiencing a delay ranged from 29.7% to 37.6%. The duration of delays increased considerably with age from an average of 5.6 days for patients aged <2 years to 13.8 days for patients aged ≥18 years. Factors associated with increased risk of delays included emergency department visits, telehealth visits, and recent prescriptions for antibiotics not effective against pertussis. Conclusions: Diagnostic delays for pertussis are frequent. More work is needed to decrease diagnostic delays, especially among adults. Earlier case identification may play an important role in the response to outbreaks by facilitating treatment, isolation, and improved contact tracing.
UR - http://www.scopus.com/inward/record.url?scp=85150424273&partnerID=8YFLogxK
U2 - 10.1017/ice.2023.31
DO - 10.1017/ice.2023.31
M3 - Article
C2 - 36919206
AN - SCOPUS:85150424273
SN - 0899-823X
VL - 32
JO - Infection Control and Hospital Epidemiology
JF - Infection Control and Hospital Epidemiology
ER -