4 resultados para Income forecasting
em DigitalCommons@The Texas Medical Center
Resumo:
A commentary on Mendoza et al.'s article entitled, "Ethnic Minority Children’s Active Commuting to School and Association with Physical Activity and Pedestrian Safety Behaviors."
Resumo:
The article provides insight on issues serving as barriers to low-income fathers' involvement with their children and with parenting programs.
Resumo:
This exploratory study used semi-structured focus groups to examine: 1) where and from whom fathers obtain information about parenting; 2) the types of parenting services men are aware of, and their attitudes about participating in such services; and 3) fathers’ perceived norms about the acceptability and utility of various parenting practices. Low-income men (N = 17) were recruited from a human services agency in Detroit, Michigan. Four major themes emerged. First was the need for male-focused community resources for fathers. Second was that men were aware of and used positive disciplinary strategies. Third was emphasis on fathers’ positive and effective communication, with male children in particular. Finally, men suggested that constructive and concrete activities, such as engaging with children in activities or mentorship programs with other adult men in the community, were preferable to traditional parenting class such as those offered through Child Protective Services.
Resumo:
The application of Markov processes is very useful to health-care problems. The objective of this study is to provide a structured methodology of forecasting cost based upon combining a stochastic model of utilization (Markov Chain) and deterministic cost function. The perspective of the cost in this study is the reimbursement for the services rendered. The data to be used is the OneCare database of claim records of their enrollees over a two-year period of January 1, 1996–December 31, 1997. The model combines a Markov Chain that describes the utilization pattern and its variability where the use of resources by risk groups (age, gender, and diagnosis) will be considered in the process and a cost function determined from a fixed schedule based on real costs or charges for those in the OneCare claims database. The cost function is a secondary application to the model. Goodness-of-fit will be used checked for the model against the traditional method of cost forecasting. ^