American Journal of Obstetrics & Gynecology
Volume 188, Issue 2 , Pages 580-585 , February 2003

The relationship of race to women's use of health information resources

Received 14 March 2002 ,Revised 14 May 2002 ,Accepted 13 September 2002.

References 

  1. O'Malley MS, Earp JL, Hawley ST, Schell MJ, Mathews HF, Mit-cchell J. The association of race/ethnicity, socioeconomic status, and physician recommendation for mammography: who gets the message about breast cancer screening?. Am J Public Health. 2001;91:49–54
  2. Cunningham WE, Davidson PL, Nakazono TT, Anderson RM. Do black and white adults use the same sources of information about AIDS prevention?. Health Educ Behav. 1999;26:703–713
  3. Guidry JJ, Aday LA, Zhang D, Winn RJ. Information sources and barriers to cancer treatment by racial\ethnic minority of patients. J Cancer Educ. 1998;13:43–48
  4. Brodie M, Flournoy RE, Altman DE, Blendon RJ, Benson JM, Rosenbaum MD. Health information, the Internet, and the digital divide. Health Aff (Milwood). 2000;19:255–265
  5. O'Malley AS, Kerner JF, Johnson L. Are we getting the message out to all?. Am J Prev Med. 1999;17:198–202
  6. Johnson JD, Meischke H. Cancer information: women's source and content preferences. J Health Care Mark. 1991;11:37–44
  7. Johnson JD, Meischke H. Women's preferences for cancer-related information from specific types of mass media. Health Care Women Int. 1994;15:23–30
  8. In:  Faulk MM,  Collins KS editor. Women's health: the commonwealth survey. Baltimore (MD): Johns Hopkins University Press; 1996;
  9. Dearing JW, Rogers EM, Meyer G. Social marketing and diffusion-based strategies to communicating with unique populations: HIV prevention in San Francisco. J Health Commun Int Perspect. 1996;4:342–364
  10. Kreps GL, Viswanath K. Communication interventions and cancer control: a review of the National Cancer Institute's Health Communication Intervention Research Initiative. Fam Commun Health. 2001;24:ix–xiv
  11. Henderson J, Weisman CS. Women's health care experiences: survey development. In: Grason H, et al, editors. State strategies for improving data on women's health. Baltimore (MD): Women's and Childen's Health Policy Center, Johns Hopkins University Bloomberg School of Public Health.
  12. Hosmer DW, Lemeshow S. Applied logistic regression. New York: John Wiley; 1989;
  13. STATA software, version 6.0. College Station (TX): STATA Press; 1999;
  14. Zion AB, Aiman J. Level of reading difficulty in the American College of Obstetricians and Gynecologists patient education pamphlets. Obstet Gynecol. 1989;74:955–960
  15. Grisso JA, Freunin EW, Maurin E, Garcia-Espana B, Berlin JA. Racial differences in menopause information and the experience of hot flashes. J Gen Intern Med. 1999;14:98–103
  16. Griffiths KM, Christensen H. Quality of web-based information on treatment of depression: cross-sectional survey. BMJ. 2000;321:1511–1515
  17. Berland GK, Elliott MN, Morales LS, Algazy JI, Kravitz RL, Broder MS, et al.  Health information on the Internet: accessibility, quality, and readability in English and Spanish. JAMA. 2001;285:2612–2621
  18. Eysenbach G, Yihume G, Lampe K, et al.  Quality management, certification and rating of health information on the MedCERTAIN. J Med Internet Res. 2000;2(Suppl):e1–e4

 Supported in part by the Maternal and Child Health Bureau (Health Resources and Services Administration, Department of Health and Human Services) through a cooperative agreement with Johns Hopkins University Women's and Children's Health Policy Center (U93 MC 00101, W. K. N. and H. A. G.) and by the Robert Wood Johnson Foundation Medical Minority Faculty Development Award (W. K. N.).

☆☆ Reprint requests: Wanda Nicholson, MD, MPH, 600 N Wolfe St/Harvey 319, Baltimore, MD 21287. E-mail: wnichol@jhmi.edu

PII: S0002-9378(02)71345-8

doi: 10.1067/mob.2003.15

American Journal of Obstetrics & Gynecology
Volume 188, Issue 2 , Pages 580-585 , February 2003