To assess the prevalence of 28 distinct symptoms, test whether higher global symptom scores (GSS) were associated with use of more medications, and assess the associations between specific symptoms and medications.
This cross-sectional study was conducted between April 1, 2019, and December 31, 2019, using structured parent-reported symptom data paired with clinical and pharmacy data, at a single-center, large, hospital-based special health care needs clinic. Participants included children aged 1 to 18 years with SNI and 5 or more prescribed medications. Data analysis was performed from April to June 2020.
During routine clinical visits, parent-reported symptoms were collected using the validated 28-symptom Memorial Symptom Assessment Scale (MSAS) and merged with clinical and pharmacy data.
Symptom prevalence, counts, and GSS (scored 0-100, with 100 being the worst) were calculated, and the association of GSS with medications was examined. To evaluate associations between symptom-medication pairs, the proportion of patients with a symptom who used a medication class or specific medication was calculated.
Of 100 patients, 55.0% were boys, the median (interquartile range [IQR]) age was 9 (5-12) years, 62.0% had 3 or more complex chronic conditions, 76.0% took 10 or more medications, and none were able to complete the MSAS themselves. Parents reported a median (IQR) of 7 (4-10) concurrent active symptoms. The median (IQR) GSS was 12.1 (5.4-20.8) (range, 0.0-41.2) and the GSS was 9.8 points (95% CI, 5.5-14.1 points) higher for those with worse recent health than usual. Irritability (65.0%), insomnia (55.0%), and pain (54.0%) were the most prevalent symptoms. Each 10-point GSS increase was associated with 12% (95% CI, 4%-19%) higher medication counts, adjusted for age and complex chronic condition count. Among the 54.0% of children with reported pain, 61.0% were prescribed an analgesic.
These findings suggest that children with SNI reportedly experience substantial symptom burdens and that higher symptom scores are associated with increased medication use. Paired symptom-medication data may help clinicians identify targets for personalized symptom management, including underrecognized or undertreated symptoms.