Using economic evaluations in implementation science to increase transparency in costs and outcomes for organizational decision-makers.

BACKGROUND: Economic evaluations frequently are utilized to compare the value of different interventions in medicine and health in concrete terms. Implementation science also would benefit from the incorporation of economic evaluations, but such studies are rare in the literature. The National Cancer Institute has supported a special collection of articles focusing on economic evaluations in implementation science. Even when interventions are supported by substantial evidence, they are implemented infrequently in the field. Implementation costs are important determinants for whether organizational decision-makers choose to adopt an intervention and whether the implementation process is successful. Economic evaluations, such as cost-effectiveness analyses, can help organizational decision-makers choose between implementation approaches for evidence-based interventions by accounting for costs and succinctly presenting cost/benefit tradeoffs. MAIN TEXT: This manuscript presents a discussion of important considerations for incorporating economic evaluations into implementation science. First, the distinction between intervention and implementation costs is presented, along with an explanation of why the comprehensive representation of implementation costs is elusive. Then, the manuscript describes how economic evaluations in implementation science may differ from those in medicine and health intervention studies, especially in terms of determining the perspectives and outcomes of interest. Finally, referencing a scale-up trial of an evidence-based behavioral health intervention, concrete case examples of how cost data can be collected and used in economic evaluations targeting implementation, rather than clinical outcomes, are described. CONCLUSIONS: By gaining a greater understanding of the costs and economic impact associated with different implementation approaches, organizational decision-makers will have better transparency for future replication and scale-up. The use of economic evaluations can help to advance this understanding and provide researchers, purveyors or third-party intermediaries, and organizational decision-makers with essential information to facilitate implementation.

A symphony within: Frequent participation in performing arts predicts higher positive mental health in young adults.

RATIONALE: Positive mental health is a critical component of overall mental health, but our understanding of the potential drivers of positive mental health is lacking. Participation in the arts may contribute to positive mental health through the mechanism of flow, a mental state of becoming completely engrossed in an enjoyable activity. Participation in performing arts specifically may be especially predictive of positive mental health due to its collective nature. OBJECTIVE AND METHODS: This study uses the Population Study of Income Dynamics (PSID) Transition to Adulthood Sample (N = 5657 person-years) to investigate whether participation in performing arts predicts positive mental health in young adults in the US through adjusted least squares and individual-level fixed-effects linear regression models across three waves of data per individual. Additionally, the study investigates different levels of participation to establish a dose response and employs stratified analyses by race/ethnicity, income, and gender. RESULTS: Results show that, compared to no participation, participating in the performing arts every day is associated with an increase in positive mental health of a 0.315 effect size [p < 0.001]. White and higher income individuals are more likely to participate in the arts than people of color and lower income individuals. Yet, the association between performing arts and positive mental health is similar, if not greater, for people of color than it is for white individuals. CONCLUSION: This study shows strong associations between frequent performing arts participation and positive mental health and suggests that more resources should be allocated to performing arts access for young adults from diverse backgrounds.

The Mental Health Parity and Addiction Equity Act evaluation study: Child and adolescent behavioral health service expenditures and utilization.

This study explores possible associations of the Mental Health Parity and Addiction Equity Act (MHPAEA) with child access to behavioral health (BH) services (preimplementation = 2008-2009, transition = 2010, and post = 2011-2013). The study sample included children aged 4-17 years in self-insured "carve-in" plans from large employers. In "carve-ins," BH and medical care are covered through the same insurance plan. The unit of analysis is the person-month (N = 61,823,533). This study employs an interrupted time series model allowing for intercept and slope changes for the transition and postparity periods. Outcomes included total, plan and patient out-of-pocket (OOP) expenditures, and several categories of service utilization. Generalized estimating equations were used to account for clustering. There were significant increases in total and plan expenditures postparity. To illustrate, in July 2012, mean per-member-per-month total expenditures were predicted to be $5.65 without parity but $8.72 with parity. Patient OOP costs did not change significantly. Significant overall increases were seen for utilization of most outpatient services but not intermediate or inpatient services. Our findings suggest that the introduction of MHPAEA was associated with an increase in specialty BH service access for children without a commensurate increase in financial burden for families.

Early Child Development, Residential Crowding, and Commute Time in 8 US States, 2010-2017.

OBJECTIVES: To examine relationships of residential crowding and commute time with early child development. METHODS: We used the Early Development Instrument (EDI), a teacher-reported, population-health measure of child development. The sample included child-level observations spanning 8 US states from 2010 to 2017 (n = 185 012), aggregated to the census tract (n= 2793), stratified by percentage of households in poverty. To test the association of commute times, crowding, and child development, we tested overall readiness and 5 EDI domains by using adjusted census tract-level multivariate regression with fixed effects. RESULTS: In the full sample, a 1-standard-deviation increase in crowding was associated with 0.064- and 0.084-point decreases in mean score for cognitive development and communication skills, respectively. For the high-poverty subsample, a 1-standard deviation increase in commute time was associated with 0.081- and 0.066-point decreases in social competence and emotional maturity. CONCLUSIONS: In neighborhoods with increased crowding or commute time, early child development suffers. POLICY IMPLICATIONS: This study suggests a potential relationship between the changing urban landscape and child health. Children would benefit from more multisector collaboration between urban planning and public health.