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Predicting Patients’ Use Of Provider-Delivered E-Health: The Role Of Facilitating Conditions, E. Vance Wilson, Nancy K. Lankton
Predicting Patients’ Use Of Provider-Delivered E-Health: The Role Of Facilitating Conditions, E. Vance Wilson, Nancy K. Lankton
Nancy K. Lankton
This chapter presents a new rational-objective (R-O) model of e-health use that accounts for effects of facilitating conditions as well as patients’ behavioral intention. An online questionnaire measured patients’ behavioral intention to use a new e-health application as well as proxy measures of facilitating conditions that assess prior use of and structural need for health services. A second questionnaire administered three months later collected patients’ self-reported use of e-health during the intervening period. The new model increased predictions of patients’ e-health use (measured in R2) by more than 300% over predictions based upon behavioral intention alone, and all measured factors …
Rate Setting And Disclosure In Continuing Care Retirement Communities (Ccrcs), Seth C. Anderson, Jeffrey E. Michelman, Raymond M. Johnson, Kristi Quick
Rate Setting And Disclosure In Continuing Care Retirement Communities (Ccrcs), Seth C. Anderson, Jeffrey E. Michelman, Raymond M. Johnson, Kristi Quick
Jeffrey E Michelman
By 2026, the population of Americans age 65 and older will double to 71.5 million. According to a recent study by Metlife, et al., there are five important issues that impact both current and future retirees: Increased longevity with Americans living longer; Changing economic factors such as increased health care costs; A growing skills shortage in many industries; Different beliefs about work among the aging Baby Boomer generation; and Financial resources available for retirement. All five of these factors affect both the ways seniors plan for retirement and the ways that organizations providing services to seniors must respond. Continuing care …