Quantifying the costs of hospital admission for families of children with a febrile illness in the North East of England.

OBJECTIVE: To assess the financial non-medical out-of-pocket costs of hospital admissions for children with a febrile illness. DESIGN: Single-centre survey-based study conducted between March and November 2022. SETTING: Tertiary level children's hospital in the North East of England. PARTICIPANTS: Families of patients with febrile illness attending the paediatric emergency department MAIN OUTCOME MEASURES: Non-medical out-of-pocket costs for the admission were estimated by participants including: transport, food and drinks, child care, miscellaneous costs and loss of earnings. RESULTS: 83 families completed the survey. 79 families (95.2%) reported non-medical out-of-pocket costs and 19 (22.9%) reported financial hardship following their child's admission.Total costs per day of admission were median £56.25 (IQR £32.10-157.25). The majority of families reported incurring transport (N=75) and food and drinks (N=71) costs. CONCLUSIONS: A child's hospital admission for fever can incur significant financial costs for their family. One in five participating families reported financial hardship following their child's admission. Self-employed and single parents were disadvantaged by unplanned hospital admissions and at an increased risk of financial hardship. Local hospital policies should be improved to support families in the current financial climate.

External validation of a multivariable prediction model for identification of pneumonia and other serious bacterial infections in febrile immunocompromised children.

OBJECTIVE: To externally validate and update the Feverkids tool clinical prediction model for differentiating bacterial pneumonia and other serious bacterial infections (SBIs) from non-SBI causes of fever in immunocompromised children. DESIGN: International, multicentre, prospective observational study embedded in PErsonalised Risk assessment in Febrile illness to Optimise Real-life Management across the European Union (PERFORM). SETTING: Fifteen teaching hospitals in nine European countries. PARTICIPANTS: Febrile immunocompromised children aged 0-18 years. METHODS: The Feverkids clinical prediction model predicted the probability of bacterial pneumonia, other SBI or no SBI. Model discrimination, calibration and diagnostic performance at different risk thresholds were assessed. The model was then re-fitted and updated. RESULTS: Of 558 episodes, 21 had bacterial pneumonia, 104 other SBI and 433 no SBI. Discrimination was 0.83 (95% CI 0.71 to 0.90) for bacterial pneumonia, with moderate calibration and 0.67 (0.61 to 0.72) for other SBIs, with poor calibration. After model re-fitting, discrimination improved to 0.88 (0.79 to 0.96) and 0.71 (0.65 to 0.76) and calibration improved. Predicted risk <1% ruled out bacterial pneumonia with sensitivity 0.95 (0.86 to 1.00) and negative likelihood ratio (LR) 0.09 (0.00 to 0.32). Predicted risk >10% ruled in bacterial pneumonia with specificity 0.91 (0.88 to 0.94) and positive LR 6.51 (3.71 to 10.3). Predicted risk <10% ruled out other SBIs with sensitivity 0.92 (0.87 to 0.97) and negative LR 0.32 (0.13 to 0.57). Predicted risk >30% ruled in other SBIs with specificity 0.89 (0.86 to 0.92) and positive LR 2.86 (1.91 to 4.25). CONCLUSION: Discrimination and calibration were good for bacterial pneumonia but poorer for other SBIs. The rule-out thresholds have the potential to reduce unnecessary investigations and antibiotics in this high-risk group.