THE EFFECTIVENESS OF FAMILY INTERVENTIONS IN THE TREATMENT OF PHYSICAL ILLNESS

Although a large body of research demonstrates that the family has a powerful influence on physical health, the evidence for the effectiveness of family interventions in physical illness is less conclusive. Family therapy and other family interventions appear to be most effective in chronic childhood illnesses such as asthma and diabetes. Family interventions have also been shown to be effective in the management of some cardiovascular and neurologic disorders and for the treatment of obesity. Family therapy appears to be more effective than individual therapy for some groups of patients with anorexia nervosa. This research supports the increasingly important role of medical family therapy in the new health care system. Recommendations for future research are discussed.     

Unmet service needs of families of young children with chronic illnesses and disabilities

Data about health and educational services were collected from 187 families with young children (under two years) who have chronic illnesses and disabilities. The purpose was to assess parents' satisfaction with services their families received and to identify families' unmet service needs as well as the reasons for these unmet needs. Although families' ratings of the adequacy of services are relatively high, 28% of the families report unmet service needs. The unmet needs most often reported are occupational, physical, or speech therapy; respite care/child care; and special education. Lack of funding is the most commonly given reason for unmet needs. Children with multiple impairments are at highest risk for unmet needs. Only 22% of unmet needs reported at the initial interview have been met by the time of the six-month follow-up. Increased coordination and monitoring of services across service sectors are indicated. Her research interests include the effects of disability on family identity and families' responses to minority stress. She received her Ph.D. from the University of Minnesota. She gratefully acknowledges Shelley Blazis and Nadav Casuto for statistical consulting. Her research interests focus on the impact of chronic illness and disability on families. She received her Ph.D. from the University of Minnesota. Her research interests include families and health and chronic illness and disability in children. She received her Ph.D. in Family Social Science at the University of Minnesota. His areas of interest include neurodevelopmental outcomes of low birth weight infants and training in developmental pediatrics. He was graduated from the University of Minnesota Medical School. His areas of interest include adolescents with chronic illness and disabilities, adolescent sexual decision making, and international adolescent health care issues. He was graduated from Howard University College of Medicine was awarded his earned doctorate in Health Policy from the University of Minnesota. Preparation of this article was supported by the National Institute on Disability and Rehabilitation Research Grant #H133890012.     

Comment

We propose a sequential test for predictive ability for recursively assessing whether some economic variables have explanatory content for another variable. In the forecasting literature it is common to assess predictive ability by using “one-shot” tests at each estimation period. We show that this practice leads to size distortions, selects overfitted models and provides spurious evidence of in-sample predictive ability, and may lower the forecast accuracy of the model selected by the test. The usefulness of the proposed test is shown in well-known empirical applications to the real-time predictive content of money for output and the selection between linear and nonlinear models.