42 research outputs found
Increases in booster seat use among children of low income families and variation with age
Objectives: To increase booster seat use among low income parents. Design/methods: A pre-test/post-test design conducted in nine daycare centers with post-test observations four to eight weeks after the intervention. Intervention: Parents who participated in an educational training received free seats, educational programs were provided to all daycare staff and children, and signs in parking lots informed parents about child restraints. At seven centers, new policies recommended compliance with state restraint laws. Parents at four centers randomly chosen from the seven received financial incentives if observed using booster seats. Main outcome measure: The percent of children aged 4–8 riding in booster seats. Results: Pre-test observations of 185 4–8 year olds found 56% riding unrestrained and fewer than 3% riding in booster seats. After the intervention, observation of 146 children found the number riding in booster seats increased to 38% and the number observed without restraints decreased to 26%. Most booster seat use occurred with 4 and 5 year olds. No 7 or 8 year olds rode in booster seats. Changing center policies to recommend compliance with state restraint laws and an offer of financial incentives appeared to have no additional impact. Conclusions: Booster seat usage among low income families can be increased dramatically, though use decreases with age. Providing free seats accompanied by training may be sufficient without the need for additional intervention
BENCHMARKING FOR PRODUCTIVITY IMPROVEMENT: A HEALTH-CARE APPLICATION *
A methodology is developed and applied to compare the performance of publicly funded agencies providing treatment for alcohol abuse in Maine. The methodology estimates a Wiener process that determines the duration of completed treatments, while allowing for agency differences in the effectiveness of treatment, costs of treatment, standards for completion of treatment, patient attrition, and the characteristics of patient populations. Notably, the Wiener process model separately identifies agency fixed effects that describe differences in the effectiveness of treatment ("treatment effects"), and effects that describe differences in the unobservable characteristics of patients ("population effects"). The estimated model enables hypothetical comparisons of how different agencies would treat the same populations. The policy experiment of transferring the treatment practices of more cost-effective agencies suggests that Maine could have significantly reduced treatment costs without compromising health outcomes by identifying and transferring best practices. Copyright 2006 by the Economics Department Of The University Of Pennsylvania And Osaka University Institute Of Social And Economic Research Association.