biostudies-literatureUnknown27(3)Afolabi T<h4>Objective</h4>To provide information about factors underlying provision of asthma action plans (AAPs) to a minority of pediatric patients with asthma, assess whether risk of exacerbation acts on provision of AAP and asthma education directly, suggesting targeting to highest-risk patients, or indirectly by influencing physician-patient interaction time.<h4>Methods</h4>This study was a retrospective cross-sectional analysis of a nationally representative sample of physician office visits that consisted of patients aged 2 to 18 years with asthma. Exacerbation risk comprised proxy indicators of control and severity. Direct and time-mediated effects of exacerbation risk on provision of AAP and education were calculated from logistic regression models.<h4>Results</h4>Asthma action plans wereThe journal of pediatric pharmacology and therapeutics : JPPT : the official journal of PPAG244-253https://www.ebi.ac.uk/biostudies/studies/S-EPMC8939274biostudies-literatureAssociation of Asthma Exacerbation Risk and Physician Time Expenditure With Provision of Asthma Action Plans and Education for Pediatric Patients.PMC8939274Afolabi TFairman KAfalseAssociation of Asthma Exacerbation Risk and Physician Time Expenditure With Provision of Asthma Action Plans and Education for Pediatric Patients.<h4>Objective</h4>To provide information about factors underlying provision of asthma action plans (AAPs) to a minority of pediatric patients with asthma, assess whether risk of exacerbation acts on provision of AAP and asthma education directly, suggesting targeting to highest-risk patients, or indirectly by influencing physician-patient interaction time.<h4>Methods</h4>This study was a retrospective cross-sectional analysis of a nationally representative sample of physician office visits that consisted of patients aged 2 to 18 years with asthma. Exacerbation risk comprised proxy indicators of control and severity. Direct and time-mediated effects of exacerbation risk on provision of AAP and education were calculated from logistic regression models.<h4>Results</h4>Asthma action plans were2022-01-01T00:00:00Z20222025-04-22T18:17:34.342Z2025-04-06T02:24:42.78ZS-EPMC89392743535015810.5863/1551-6776-27.3.244