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The following HTML text is provided to enhance online readability. Many aspects of typography translate only awkwardly to HTML. Please use the page image as the authoritative form to ensure accuracy. Soni, A. (2009). The five most costly conditions, 1996 and 2006: Estimates for the U.S. civilian noninstitutionalized population. Statistical brief #248, July. Rockville, MD: Agency for Healthcare Research and Quality. Available: http://www.meps.ahrq.gov/mepsweb/data_files/publications/st248/stat248.pdf [accessed September 2009]. Steenbekkers, L.P.A., and van Beijsterveldt, C.E.M. (Eds.). (1998). Design-relevant characteristics of ageing users. Delft, The Netherlands: Delft University Press. Story, M.T., Neumark-Stzainer, D.R., Sherwood, N.E., Holt, K., Sofak, D., Trowbridge, F.L., and Barlow, S.E. (2002). Management of child and adolescent obesity: Attitudes, barriers, skills, and training needs among health care professionals. Pediatrics, 110, 210-214. Tacken, M., Marcellini, F., Mollenkopf, H., Ruoppila, I., and Széman, Z. (2005). Use and acceptance of new technology by older people. Findings of the international MOBILATE survey: “Enhancing mobility in later life.” Gerontechnology, 3, 126-137. Thang, L., Patrick, L., and Nash, S.G. (2009). Help-seeking attitudes among Vietnamese Americans: The impact of acculturation, cultural barriers, and spiritual beliefs. Social Work in Mental Health, 7, 476-493. Tyrer, F., Smith, L.K., and McGrother, C.W. (2007). Mortality in adults with moderate to profound intellectual disability: A population-based study. Journal of Intellectual Disability Research, 51, 520-527. U.S. Census Bureau. (2009). Current population survey, 2008 annual social and economic supplement. Available: http://www.census.gov/population/socdemo/hh-fam/cps2008/tabH2-all.xls [accessed June 2009]. U.S. Census Bureau. (2010). American community survey, 2006. Available: http://www.census.gov/acs/www/ [accessed July 2010]. Varshney, U. (2007). Pervasive healthcare and wireless health monitoring. Mobile Network Applications, 12, 113-127. DOI 10.1007/s11036-007-0017-1. Venkatesh, V., and Davis, F.D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal case studies. Management Science, 46, 186-204. Wilson, D.M., Truman, C.D., Thomas, R., Fainsinger, R., Kovacs-Burns, K., Forggatt, K., and Justice, C. (2009). The rapidly changing location of death in Canada, 1994-2004. Social Science and Medicine, 68, 1,752-1,758. Zhu, C.W. (2004). Effects of the balanced budget act on Medicare home health utilization. Journal of the American Geriatric Society, 52, 989-994. Suggested General ReadingsCarayon, P., and Friesdorf, W. (2006). Human factors and ergonomics in medicine. In G. Salvendy (Ed.), Handbook of human factors and ergonomics (3rd ed., pp. 1,517-1,537). Hoboken, NJ: Wiley. Fisk, A.D., Rogers, W.A., Charness, N., Czaja, S.J., and Sharit, J. (2009). Designing for older adults: Principles and creative human factors approaches (2nd ed.). Boca Raton, FL: CRC Press. Jacko, J.A., and Sears, A. (Eds.). (2008). The human-computer interaction handbook Part V: Designing for diversity (2nd ed.). New York: Lawrence Erlbaum Associates. Krupinski, E., Dimmick, S., Grigsby, J., Mogel, G., Puskin, D., Speedie, S., Stamm, B., Wakefield, B., Whited, J., Whitten, P., and Yellowlees, P. (2006). Research recommendations for the American Telemedicine Association. Telemedicine and e-Health, 12, 579-589.
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