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Abstract Aims of the study Routinely collected health data are increasingly used for research, however important history items may be incomplete in medical records. We assessed clinical documentation of exercise-induced respiratory symptoms (EIS) by treating physicians and compared with parent-reported EIS for the same children. Methods We analysed data from the Swiss Paediatric Airway Cohort (SPAC), a multicentre observational study of children treated in Swiss outpatient pulmonology clinics. We included children 6 to 17 years of age who were referred to a paediatric pulmonologist for evaluation of EIS. Features of EIS recorded by physicians were extracted from outpatient clinical letters transmitted to the referring physician, while parent-reported EIS data were collected from a standardized questionnaire completed at SPAC enrolment. We calculated agreement between physician-documented and parent-reported EIS characteristics using Cohen’s and Fleiss’s kappa. Results Of 1669 children participating in SPAC (2017-2019), 193 (12%) met the inclusion criteria, of whom 48% were girls. Physicians provided detailed information on EIS in 186 (96%) outpatient clinical letters. Documented characteristics included: type of physical activity triggering EIS (69%), localisation of EIS in chest or throat (48%), respiratory phase of EIS (45%), and timing of EIS during or after exercise (37%). Previous bronchodilator use (94%) and its effect on EIS (88%) were consistently documented by physicians. The clinical letters of children diagnosed with dysfunctional breathing more often contained detailed EIS characteristics than for children diagnosed with asthma. The agreement between physician-documented and parent-reported EIS was moderate for use of bronchodilators (k=0.53) and poor to fair for all other features (k=0.01-0.36). Conclusion This study highlights that outpatient clinical letters may lack some details on EIS characteristics, information which parents could provide. A standardized and detailed method for documenting paediatric respiratory symptoms in the coordinated data infrastructure may enhance future analyses of routinely collected health data.
Pedersen et al. (Wed,) studied this question.