Use and Impact of eHealth System by Low-income Women With Breast Cancer.
This article is the second of a two-part series reporting on a population-based study intended to use an eHealth system to examine the feasibility of reaching underserved women with breast cancer (Gustafson, McTavish et al., Reducing the digital divide for low-income women with breast cancer, 2004; Madison Center for Health Systems Research and Analysis, University of Wisconsin; Comprehensive Health Enhancement Support System [CHESS]) and determine how they use the system and what impact it had on them. Participants included women recently diagnosed with breast cancer whose income was at or below 250% of poverty level and were living in rural Wisconsin (n = 144; all Caucasian) or Detroit (n = 85; all African American). Because this was a population-based study all 229 participants received CHESS. A comparison group of patients (n = 51) with similar demographics was drawn from a separate recently completed randomized clinical trial. Use rates (e.g., frequency and length of use as well as type of use) as well as impact on several dimensions of quality of life and participation in health care are reported. Low-income subjects in this study logged on and spent more time on CHESS than more affluent women in a previous study. Urban African Americans used information and analysis services more and communication services less than rural Caucasians. When all low-income women from this study are combined and compared with a low-income control group from another study, the CHESS group was superior to that control group in 4 of 8 outcome variables at both statistically and practically significant levels (social support, negative emotions, participation in health care, and information competence). When African Americans and Caucasians are separated the control group's sample size becomes 30 and 21 thus reducing power. Statistical significance is retained, however, in all four outcomes for Caucasians and in two of four for African Americans. Practical significance is retained for all four outcomes. We conclude that an eHealth system like CHESS will be used extensively and have a positive impact on low-income women with breast cancer.
Gustafson
David H
DH
Center for Health Systems Research and Analysis, University of Wisconsin-Madison, Madison, Wisconsin, USA.
McTavish
Fiona M
FM
Stengle
William
W
Ballard
Denise
D
Hawkins
Robert
R
Shaw
Bret R
BR
Jones
Ellen
E
Julèsberg
Karen
K
McDowell
Helene
H
Chen
Wei Chih
WC
Volrathongchai
Kanittha
K
Landucci
Gina
G
D001943:Breast Neoplasms / Q000473:pathology / Q000523:psychology*; D005260:Female; D006801:Humans; D007256:Information Systems / Q000706:statistics & numerical data*; D020407:Internet / Q000706:statistics & numerical data*; D008507:Medically Underserved Area; D008824:Michigan; D008875:Middle Aged; D011159:Population Surveillance / Q000379:methods*; D011203:Poverty; D012944:Social Support; D014922:Wisconsin