Evaluation of the March of Dimes Family Support Program with Focus on Parent to Parent Support

The March of Dimes NICU Family Support Program provides families with support specialists, educational materials, and community resources to aide in the emotional and physical adaptation to a new life with a premature infant. Parent-to-parent support has been shown to more effective than group support because the new NICU parent is able to connect on a more personal level with an experienced NICU parent. The purpose of the research was to develop and implement an evaluation instrument to assess the effectiveness of the March of Dimes NICU Family Support Program (MODFSP) in the NICU at the UConn Health Center, specifically parent-to-parent support. Steps involved in the process included determining areas of focus for the instrument, developing items based on MODFSP materials and literature review, piloting the materials on parents with infants in the NICU (with IRB approval), and utilizing descriptive statistics through SPSS Version 14 to assess the results from the instrument content. Qualitative items were also included in the evaluation, and descriptive qualitative methods, as appropriate, were used to analyze those items. The findings have supported the literature in that all parents that participated in parent to parent support agreed the program was beneficial in assisting them with their transition to life with a premature infant. In addition to evaluating the new NICU parent’s opinions of the program, researchers evaluated the staff and volunteer parents that were involved in the program. The results also revealed that the new NICU parent’s fear, anxiety, and stress decreased after the parent-to-parent interactions. The preliminary results were encouraging that the MODFSP has implemented an effective parent-to-parent support program to support parents through their time of crisis.

Performance Evaluation of the New Connecticut Leading Employment Index Using Lead Profiles and BVAR Models

Dua and Miller (1996) created leading and coincident employment indexes for the state of Connecticut, following Moore's (1981) work at the national level. The performance of the Dua-Miller indexes following the recession of the early 1990s fell short of expectations. This paper performs two tasks. First, it describes the process of revising the Connecticut Coincident and Leading Employment Indexes. Second, it analyzes the statistical properties and performance of the new indexes by comparing the lead profiles of the new and old indexes as well as their out-of-sample forecasting performance, using the Bayesian Vector Autoregressive (BVAR) method. The new indexes show improved performance in dating employment cycle chronologies. The lead profile test demonstrates that superiority in a rigorous, non-parametric statistic fashion. The mixed evidence on the BVAR forecasting experiments illustrates the truth in the Granger and Newbold (1986) caution that leading indexes properly predict cycle turning points and do not necessarily provide accurate forecasts except at turning points, a view that our results support.