The Development, Preliminary Validation, and Clinical Application of the Quick Parenting Assessment.

To prevent diseases, efforts are needed to determine how to address Adverse Childhood Experiences (ACEs), including parenting behaviors. The objective of this study, conducted in Nashville TN in 2017, was to initiate testing the psychometric properties of two new Adverse Childhood Experiences (ACEs) screening tools, the Quick Parenting Assessment (QPA) and Other Childhood Stressors (OCS). In a clinic serving low-income families, caregivers of children ages 2-10 completed assessments of parenting (QPA), other stressors (OCS), child behavior problems ((Strength and Difficulties Questionnaire (SDQ)), and Attitudes Toward Spanking (ATS). The QPA takes 1 min to complete and assesses for healthy and unhealthy parenting behaviors. Seventy-five percent of eligible participants completed the survey (N=558). A reduced 10-item QPA yielded a Cronbach's alpha of 0.79 and, in 4-10-year-olds, was associated with high SDQ conduct, hyperactivity, and total difficulties scores (r=0.44, 0.48, and 0.47; all p< 0.001). Children with QPAs of >4 were nine times more likely than those children with scores of ≤2 to have behavior problems (OR=8.93, 95% CI = 3.74-21.32). Elevated QPAs were associated with the ATS (r=0.47, p < .001). The OCS was also associated with high SDQ total difficulties scores (r=0.28, p< 0.001). Two pediatric ACEs screening tools, the QPA and the OCS, have promising psychometric properties. The findings suggest that parenting behaviors may play an outsized role in the pathogenesis of outcomes associated with ACEs. We discuss the clinical application of QPA at our institution and the theoretical potential for this instrument to reduce the rates of short- and long-term health problems.

Variation in outcomes of quality measurement by data source.

OBJECTIVE: To evaluate selected Children's Health Insurance Program Reauthorization Act claims-based quality measures using claims data alone, electronic health record (EHR) data alone, and both data sources combined. METHODS: Our population included pediatric patients from 46 clinics in the OCHIN network of community health centers, who were continuously enrolled in Oregon's public health insurance program during 2010. Within this population, we calculated selected pediatric care quality measures according to the Children's Health Insurance Program Reauthorization Act technical specifications within administrative claims. We then calculated these measures in the same cohort, by using EHR data, by using the technical specifications plus clinical data previously shown to enhance capture of a given measure. We used the k statistic to determine agreement in measurement when using claims versus EHR data. Finally, we measured quality of care delivered to the study population, when using a combined dataset of linked, patient-level administrative claims and EHR data. RESULTS: When using administrative claims data, 1.0% of children (aged 3-17) had a BMI percentile recorded, compared with 71.9% based on the EHR data (k agreement [k] # 0.01), and 72.0% in the combined dataset. Among children turning 2 in 2010, 20.2% received all recommended immunizations according to the administrative claims data, 17.2% according to the EHR data (k = 0.82), and 21.4% according to the combined dataset. CONCLUSIONS: Children's care quality measures may not be accurate when assessed using only administrative claims. Adding EHR data to administrative claims data may yield more complete measurement.

Are pediatric quality care measures too stringent?

INTRODUCTION: We aimed to demonstrate the application of national pediatric quality measures, derived from claims-based data, for use with electronic medical record data, and determine the extent to which rates differ if specifications were modified to allow for flexibility in measuring receipt of care. METHODS: We reviewed electronic medical record data for all patients up to 15 years of age with ≥1 office visit to a safety net family medicine clinic in 2010 (n = 1544). We assessed rates of appropriate well-child visits, immunizations, and body mass index (BMI) documentation, defined strictly by national guidelines versus by guidelines with clinically relevant modifications. RESULTS: Among children aged <3 years, 52.4% attended ≥6 well-child visits by the age of 15 months; 60.8% had ≥6 visits by age 2 years. Less than 10% completed 10 vaccination series before their second birthday; with modifications, 36% were up to date. Among children aged 3 to 15 years, 63% had a BMI percentile recorded; 91% had BMI recorded within 36 months of the measurement year. CONCLUSIONS: Applying relevant modifications to national quality measure definitions captured a substantial number of additional services. Strict adherence to measure definitions might miss the true quality of care provided, especially among populations that may have sporadic patterns of care utilization.