Accuracy of the Exeter Hospitalizations-Office Visits-Medical Conditions-Extra Care-Social Concerns Index for Identifying Children With Complex Chronic Medical Conditions in the Clinical Setting

OBJECTIVE

Our objective was to determine the accuracy of a point-of-care instrument, the Hospitalizations-Office Visits-Medical Conditions-Extra Care-Social Concerns (HOMES) instrument, in identifying patients with complex chronic conditions (CCCs) compared to an algorithm used to identify patients with CCCs within large administrative data sets.

METHODS

We compared the HOMES to Feudtner's CCCs classification system. Using administrative algorithms, we categorized primary care patients at a children's hospital into 3 categories: no chronic conditions, non-complex chronic conditions, and CCCs. We randomly selected 100 patients from each category. HOMES scoring was completed for each patient. We performed an optimal cut-point analysis on 80% of the sample to determine which total HOMES score best identified children with ≥1 CCC and ≥2 CCCs. Using the optimal cut points and the remaining 20% of the study population, we determined the odds and area under the curve (AUC) of having ≥1 CCC and ≥2 CCCs.

RESULTS

The median (interquartile range [IQR]) age was 4 (IQR: 0, 8). Using optimal cut points of ≥7 for ≥1 CCC and ≥11 for ≥2 CCCs, the odds of having ≥1 CCC was 19 times higher than lower scores (odds ratio [OR] 19.1 [95% confidence interval [CI]: 9.75, 37.5]) and of having ≥2 CCCs was 32 times higher (OR 32.3 [95% CI: 12.9, 50.6]). The AUCs were 0.76 for ≥1 CCC (sensitivity 0.82, specificity 0.80) and 0.74 for ≥2 CCCs (sensitivity 0.92, specificity 0.74).

CONCLUSIONS

The HOMES accurately identified patients with CCCs.

Improving safe sleep practices in an urban inpatient newborn nursery and neonatal intensive care unit

OBJECTIVE

To improve safe sleep compliance in a newborn nursery (NN) and neonatal intensive care unit (NICU) to >80% in 1 year.

STUDY DESIGN

Prospective quality improvement study of infants admitted to a NN and NICU. Interventions were targeted at parent education, staff education, and system processes.

RESULTS

Compliance with safe sleep improved to >80% in both units. Tracking of process measures revealed NICU parents received safe sleep education 98-100% of the time. No change was observed in the balancing measures. Transfers from the NN to the NICU for temperature instability did not increase. Parent satisfaction with discharge preparedness did not change (98.2% prior to and 99.6% after).

CONCLUSION

We achieved improved compliance with safe sleep practices in our NN and NICU through education of staff and parents and improved system processes. We believe this will translate to improved safe sleep practices used by parents at home.