Evidence Table 6

Description of consumer characteristics in RCTs addressing the impact of CHI applications on intermediate outcomes (KQ1b)

Author, YearControl InterventionAgeRace, n(%)IncomeEducation, n (%)SESGender, n (%)Marital StatusOther characteristics
Breast cancer
Gustafson, 20011Allocated standard interventionMean, 44.4
SD, 7.1
White non-Hispanic (72)USD 40,000, (50.8)12–16yr,( 40.2)NRLiving with partner, (72.6)Insurance: Private Insurance, (84.7)
Received CHESS intervention, a home based computer systemMean, 44.3
SD, 6.6
White non-Hispanic (76)USD 40,000, (58.1)12–16 yr, (45.8)NRLiving with partner, (71.9)Insurance: Private Insurance, (86)
Gustafson, 20082Usual Care with booksNSNSNSNSNSNSNSNS
Breast cervical prostate and laryngeal cancer
Jones, 19993Booklet informationNSNSNSNSNSNSNSNS

NS= Not Specified, SD= Standard Deviation, SES= Socioeconomic Status, Yr= year, USD = United States Dollar

Reference List


Gustafson DH, Hawkins R, Pingree S et al. Effect of computer support on younger women with breast cancer. J Gen Intern Med 2001; 16(7):435–45.


Gustafson DH, Hawkins R, Mctavish F et al. Internet-based interactive support for cancer patients: Are integrated systems better? 2008; 58(2):238–57.


Jones R, Pearson J, McGregor S et al. Randomised trial of personalised computer based information for cancer patients. BMJ 1999; 319(7219):1241–7.

From: Appendix G

Cover of Impact of Consumer Health Informatics Applications
Impact of Consumer Health Informatics Applications.
Evidence Reports/Technology Assessments, No. 188.
Gibbons MC, Wilson RF, Samal L, et al.

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