Parents' experiences caring for children with acute otitis media: a qualitative analysis.

BACKGROUND: Little is known regarding parents' experiences caring for children with acute otitis media (AOM). This study aimed to explore parents' experiences caring for their child with AOM, identifying symptoms they observed, their thoughts and feelings about those symptoms, how they managed the episode, and what factors caused them to seek medical evaluation. METHODS: From October 2019 to February 2020, we conducted 24 semi-structured cross-sectional interviews with parents of children 3 to 36 months of age with AOM diagnosed at primary care offices associated with the Children's Hospital of Pittsburgh regarding (1) symptoms and behaviors that led parents to believe their child might have AOM; (2) symptoms that were most bothersome to parent and child; (3) what parents did in response to these symptoms; (4) motivations for seeking clinical care; and (5) parents' expectations regarding AOM resolution. Data were analyzed using template analysis, resulting in a hybrid inductive/deductive analytic process. RESULTS: We interviewed 24 parents within 72 h of diagnosis of AOM. Parents frequently believed ear tugging was the symptom most indicative of AOM, despite its presence in only half of the children in this sample. Parents consistently sought medical care when their child had an elevated temperature or lack of sleep, or when symptoms worsened or were unresponsive to home remedies. Parents of children with history of recurrent AOM had less difficulty identifying symptoms of AOM than parents of children with their first ear infection. CONCLUSIONS: Our findings provide insight into symptoms of AOM that cause parents concern and motivate the use of healthcare services. Parents differed in their abilities to observe and report symptoms of AOM. Thus, when interviewing parents who are concerned their preverbal child has AOM, rather than focusing on ear tugging and fever alone, providers should ascertain all unusual behaviors observed by the parent.

Development and Validation of a Calculator for Estimating the Probability of Urinary Tract Infection in Young Febrile Children.

Importance: Accurately estimating the probability of urinary tract infection (UTI) in febrile preverbal children is necessary to appropriately target testing and treatment. Objective: To develop and test a calculator (UTICalc) that can first estimate the probability of UTI based on clinical variables and then update that probability based on laboratory results. Design, Setting, and Participants: Review of electronic medical records of febrile children aged 2 to 23 months who were brought to the emergency department of Children's Hospital of Pittsburgh, Pittsburgh, Pennsylvania. An independent training database comprising 1686 patients brought to the emergency department between January 1, 2007, and April 30, 2013, and a validation database of 384 patients were created. Five multivariable logistic regression models for predicting risk of UTI were trained and tested. The clinical model included only clinical variables; the remaining models incorporated laboratory results. Data analysis was performed between June 18, 2013, and January 12, 2018. Exposures: Documented temperature of 38°C or higher in children aged 2 months to less than 2 years. Main Outcomes and Measures: With the use of culture-confirmed UTI as the main outcome, cutoffs for high and low UTI risk were identified for each model. The resultant models were incorporated into a calculation tool, UTICalc, which was used to evaluate medical records. Results: A total of 2070 children were included in the study. The training database comprised 1686 children, of whom 1216 (72.1%) were female and 1167 (69.2%) white. The validation database comprised 384 children, of whom 291 (75.8%) were female and 200 (52.1%) white. Compared with the American Academy of Pediatrics algorithm, the clinical model in UTICalc reduced testing by 8.1% (95% CI, 4.2%-12.0%) and decreased the number of UTIs that were missed from 3 cases to none. Compared with empirically treating all children with a leukocyte esterase test result of 1+ or higher, the dipstick model in UTICalc would have reduced the number of treatment delays by 10.6% (95% CI, 0.9%-20.4%). Conclusions and Relevance: UTICalc estimates the probability of UTI by evaluating the risk factors present in the individual child. As a result, testing and treatment can be tailored, thereby improving outcomes for children with UTI.