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Abstract
By developing a number of measures distinguishing amount, type of content, and when and how that content is used, the current study revealed effective patterns of use that are associated with quality of life benefits during an eHealth intervention. Results generally suggest that the benefits depend on how a patient uses the system, far more than on sheer amount of exposure or even what type of content is chosen. The next generation of eHealth system should focus on providing new and varying content over time, but even more on encouraging intensity of use and long-term commitment to the system.
Notes
An earlier version of this manuscript received a Top Three Faculty Paper Award from the Communication Technology Division of the 2006 AEJMC conference.
The authors would like to thank Helene McDowell and Gina Landucci for their central role in conducting this study. Additionally, gratitude is extended to Haile Berhe for his work in setting up the CHESS data collection system and Tim Baker for his thoughtful theoretical differentiation of services within CHESS. The study was funded by grants from the National Cancer Institute and John and Mary Markle Foundation.
This article was submitted and accepted under the editorship of Donald G. Godfrey.
Note: p < .05*
p < .01**
Note: a For all analyses, we controlled age, education, race, live alone, private insurance, stage of cancer, number of days between diagnosis and intervention, and pretest score of the dependent variable.
b Use measures were log-transformed due to the positive skewness of the distribution.
Footnote− p < .05
*p < .01
**N = 179–220.