Behavioral health services following implementation of screening in Massachusetts Medicaid children.

OBJECTIVES: To determine the relationship of child behavioral health (BH) screening results to receipt of BH services in Massachusetts Medicaid (MassHealth) children. METHODS: After a court decision, Massachusetts primary care providers were mandated to conduct BH screening at well-child visits and use a Current Procedural Terminology code along with a modifier indicating whether a BH need was identified. Using MassHealth claims data, a cohort of continuously enrolled (July 2007-June 2010) children was constructed. The salient visit (first use of the modifier, screening code, or claim in fiscal year 2009) was considered a reference point to examine BH history and postscreening BH services. Bivariate and multivariate logistic regression analyses were performed to determine predictors of postscreening BH services. RESULTS: Of 261,160 children in the cohort, 45% (118,464) were screened and 37% had modifiers. Fifty-seven percent of children screening positive received postscreening BH services compared with 22% of children screening negative. However, only 30% of newly identified children received BH services. The strongest predictors of postscreening BH services for children without a BH history were being in foster care (odds ratio, 10.38; 95% confidence interval, 9.22-11.68) and having a positive modifier (odds ratio, 3.79; 95% confidence interval, 3.53-4.06). CONCLUSIONS: Previous BH history, a positive modifier, and foster care predicted postscreening BH services. Only one-third of newly identified children received services. Thus although screening is associated with an increase in BH recognition, it may be insufficient to improve care. Additional strategies may be needed to enhance engagement in BH services.

Screening for behavioral health issues in children enrolled in Massachusetts Medicaid.

OBJECTIVES: To understand mandated behavioral health (BH) screening in Massachusetts Medicaid including characteristics of screened children, predictors of positive screens, and whether screening identifies children without a previous BH history. METHODS: Massachusetts mandated BH screening in particularly among underidentified groups. 2008. Providers used a billing code and modifier to indicate a completed screen and whether a BH need was identified. Using MassHealth claims data, children with ≥ 300 days of eligibility in fiscal year (FY) 2009 were identified and categorized into groups based on first use of the modifier, screening code, or claim. Bivariate analyses were conducted to determine differences among groups. BH history was examined by limiting the sample to those continuously enrolled in FY 2008 and 2009. Multivariate logistic regression was used to determine predictors of positive screens. RESULTS: Of 355,490 eligible children, 46% had evidence of screening. Of those with modifiers, 12% were positive. Among continuously enrolled children (FY 2008 and FY 2009) with evidence of screening, 43% with positive modifiers had no BH history. This "newly identified" group were more likely to be female, younger, minority, and from rural residences (P < .0001). Among children with modifiers; gender (male), age (5-7), being in foster care, recent BH history, and Hispanic ethnicity predicted having a positive modifier. CONCLUSIONS: The high rate of newly identified Medicaid children with a BH need suggests that screening is performing well, particularly among underidentified groups. To better assess screening value, future work on cost-effectiveness and the impact on subsequent mental health treatment is needed.

Is there a relationship between physical fitness and academic achievement? Positive results from public school children in the northeastern United States.

OBJECTIVES: To determine relationships between physical fitness and academic achievement in diverse, urban public school children. METHODS: This cross-sectional study used public school data from 2004 to 2005. Academic achievement was assessed as a passing score on Massachusetts Comprehensive Assessment System (MCAS) achievement tests in Mathematics (fourth, sixth, and eighth grade, n = 1103) and in English (fourth and seventh grade, n = 744). Fitness achievement was assessed as the number of physical fitness tests passed during physical education (PE). Multivariate logistic regression analyses were conducted to assess the probability of passing the MCAS tests, controlling for students' weight status (BMI z score), ethnicity, gender, grade, and socioeconomic status (school lunch enrollment). RESULTS: The odds of passing both the MCAS Mathematics test and the MCAS English test increased as the number of fitness tests passed increased (p < .0001 and p < .05, respectively). CONCLUSIONS: Results show statistically significant relationships between fitness and academic achievement, though the direction of causation is not known. While more research is required, promoting fitness by increasing opportunities for physical activity during PE, recess, and out of school time may support academic achievement.

Defining and understanding healthy lifestyles choices for adolescents.

PURPOSE: To: (a) establish criteria for defining positive health behaviors and lifestyle; and (b) identify characteristics of adolescents who practice a healthy lifestyle. METHODS: Responses from a 1998 survey via questionnaire, of 1487 students, from a public high school, Cambridge, Massachusetts, were used to assess correlates of healthy lifestyle choices. Strict and broad assessments of healthy behaviors were defined for students: use of alcohol, tobacco, and illegal drugs; sexual behavior; attempted suicide. Whereas the "strict" criteria included only those adolescents who did not practice any of the behaviors in question, the broad criteria reflected experimentation and moderate risk-taking. The prevalence of positive behaviors was assessed by demographic and student characteristics. In addition, logistic regression models were created to predict determinants of teenagers' healthy lifestyles using both strict and broad definitions. RESULTS: Using strict criteria of healthy lifestyle, significant predictors were being female, born outside the United States, higher academic performance, and fewer stressful life events. Using a broad definition of a healthy lifestyle, significant predictors were being non-Caucasian, in the lower grade levels at the school, higher academic performance, and fewer stressful life events. In both models, peers' approval of risky behaviors negatively influenced teens' lifestyles, whereas parents' disapproval of risky behaviors was a positive influence. CONCLUSIONS: These results reinforce the importance of school, peer, and parent support of positive behaviors. It is important for public health workers and families to understand and define healthy lifestyles choices for adolescents.