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Examining Parental Medication Adherence as a Predictor of Child Medication Adherence in Pediatric Anxiety Disorders
Greta A Bushnell1, M Alan Brookhart1, Bradley N Gaynes2
1Department of Epidemiology, University of North Carolina at Chapel Hill Gillings School of Global Public Health.
Insights
Parental medication adherence predicts higher child adherence to selective serotonin reuptake inhibitors (SSRIs) for pediatric anxiety. This finding can help identify children at risk for nonadherence, improving treatment decisions.
Area of Science:
- Pediatric pharmacology
- Clinical pharmacy
- Child and adolescent psychiatry
Background:
- Selective serotonin reuptuptake inhibitors (SSRIs) are first-line treatments for pediatric anxiety disorders.
- Predicting adherence to SSRI pharmacotherapy in children remains a significant clinical challenge.
Purpose of the Study:
- To assess SSRI adherence rates in pediatric patients diagnosed with anxiety disorders.
- To determine if parental medication adherence predicts high adherence in children treated with SSRIs.
Main Methods:
- A commercial claims database (2005-2014) identified children (3-17 years) initiating SSRI treatment for anxiety.
- Parental adherence to SSRIs, statins, and antihypertensives (proportion days covered ≥0.80) was assessed in the year prior to the child's SSRI initiation.
- Statistical analyses included risk differences and multivariable risk ratios to evaluate the association between parental and child adherence.
Main Results:
- In a cohort of 70,979 children, the mean 6-month SSRI adherence (Proportion Days Covered) was 0.72.
- Children with highly adherent parents demonstrated higher SSRI adherence (64%) compared to those with non-adherent parents (53%).
- Parental adherence to other medications (statins, antihypertensives) also correlated with improved child SSRI adherence, with minor improvements in predictive models.
Conclusions:
- Parental medication adherence is a significant predictor of child adherence to SSRIs for anxiety disorders.
- Identifying parental adherence patterns can help clinicians identify at-risk pediatric patients.
- Leveraging parental adherence data may optimize treatment decisions and reduce medication-related interventions.
Background:
Selective serotonin reuptake inhibitors (SSRIs) are the recommended first-line pharmacotherapy for pediatric anxiety disorders but adherence remains difficult to predict.
Objectives:
To estimate SSRI adherence in children with anxiety disorders and determine if prior parental medication adherence is predictive of child high SSRI adherence.
Methods:
We identified children (3-17 y) initiating SSRI treatment after an anxiety disorder diagnosis in a commercial claims database (2005-2014). We evaluated parent SSRI, statin, and antihypertensive adherence [6-mo proportion days covered (PDC), high adherence=PDC≥0.80] in the year before child SSRI initiation. We estimated risk differences (RD) of child high SSRI adherence (6-mo PDC) stratified by parent adherence and multivariable risk ratios using modified Poisson regression. We estimated change in c-statistic and risk reclassification when adding parent-level covariates with child-level covariates to predict child adherence.
Results:
In 70,979 children with an anxiety disorder (59%=female, 14=median age), the mean 6-month SSRI PDC was 0.72, with variation by anxiety disorder. Overall 64% of children had high adherence if their parent had high SSRI adherence versus 53% of children with parents with low SSRI adherence (RD, 12%; multivariable risk ratios, 1.17; 95% confidence interval, 1.14-1.20). Findings were similar for parent statin (RD=10%) and antihypertensive adherence (RD=8%) and when stratified by child age and parent sex. There was minor improvement in risk reclassification and the c-statistic after adding parent adherence and parent-level covariates.
Conclusions:
Parental medication adherence could help providers identify children at risk of nonadherence to inform the treatment decision, reduce unnecessary medication switches, and lead to broader effective interventions.
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