Integrating behavioral health and primary care pays off. Model promises significant savings.
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The levels of resistance to a new informatics system can vary widely both between and among specific groups. The relevance to today's behavioral medicine area is obvious. The aim of effective change management techniques is not to eliminate all resistance. This is typically impossible when a group of any size is involved. The aims are (1) to keep initial general resistance at reasonable levels, (2) to pre-vent that initial resistance from growing to serious levels, and (3) to identify and deal with any pockets of serious resistance that do occur despite the previous efforts. His article outlines areas of resistance to behavioral informatics and offers suggestions for overcoming the resistance.
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OBJECTIVES: This study was performed to identify the socioeconomic factors, the psychosocial factors and the heath behavior factors that have an influence on abdominal obesity, as measured by using the waist circumference. METHODS: Data was obtained from individuals aged above 20 years who had their waist circumference measured on the Korean National Health and Nutrition Examination Survey 2001, which was a cross-sectional health survey. RESULTS: Regression analysis of the factors that affect abdominal obesity showed that the education level, income, smoking, duration of smoking, drinking consumption, frequency of exercises and sleeping were the associated factors for abdominal obesity. For men, the duration of smoking, education level, income and drinking consumption were the associated factors for abdominal obesity. For woman, the education level, income, duration of smoking, drinking consumption and frequency of exercise were the associated factors for abdominal obesity. CONCLUSIONS: Abdominal obesity is a risk factor for morbidity and mortality, and it is associated with chronic diseases, including cardiovascular disease and diabetes. Based on the findings, it is essential to modify heath behaviors for preventing abdominal obesity, which is a condition associated with the incidence of chronic disease.
The higher life expectancy of women is contrasting with the higher female morbidity known from health interview surveys and statistics on use of health services. In the Swiss Health Survey SOMIPOPS, women report higher rates of complaints, diagnoses, chronical impairments and psychic illness, more frequent restrictions of their daily activities for health reasons and a worse overall health status. In men, only higher rates of indicators related to respiratory diseases and accidents were found. On the other hand, women have a stronger health orientation in daily life habits, seem to differ from men in health perception, are more willing to treat symptoms and use health services more often for preventive reasons. Comparison of survey and examination data reveal a different health perception and a higher female willingness to treat symptoms. The question is arised whether the different health behaviour have long-term effects, especially on life-expectancy.
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Information technology is being used to collect data directly from patients and to provide educational information to them. Concern over patient reactions to this use of information technology is especially important in light of the debate over whether computers dehumanize patients. This study reports reactions that patient users expressed in ethnographic interviews about using a computer-based telecommunications system. The interviews were conducted as part of a larger evaluation of Telephone-Linked Care (TLC)-HealthCall, an intelligent interactive telephone advisor, that advised individuals about how to improve their health through changes in diet or exercise. Interview findings suggest that people formed personal relationships with the TLC system. These relationships ranged from feeling guilty about their diet or exercise behavior to feeling love for the voice. The findings raise system design and user interface issues as well as research and ethical questions.
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