Using the Internet for Health-Related Activities: Findings From a National Probability Sample

Background eHealth tools on the Internet have the potential to help people manage their health and health care. However, little is known about the distribution and use of different kinds of eHealth tools across the population or within population subgroups. Objective The purpose of this study was to examine the prevalence and predictors of participation in specific online health-related activities. Methods A secondary data analysis of the National Cancer Institute’s Health Information National Trends Survey (HINTS) 2005 was conducted to study three online behaviors among Internet users (n = 3244): searching for health information for oneself, participating in a support group for those with similar health or medical conditions, and purchasing medicine or vitamins. Results A total of 58% of Internet users reported searching for health information for themselves, 3.8% used online support groups, and 12.8% bought medicine or vitamins online in the past year. Multivariate analysis found that those seeking health information were more likely to be women (OR = 2.23, 95% CI = 1.60, 3.09), have cable or satellite Internet connections (OR = 1.73, 95% CI = 1.22, 2.45) or DSL connections (OR = 1.94, 95% CI = 1.36, 2.76), have Internet access from work (OR = 2.43, 95% CI = 1.27, 4.67) or from home and work (OR = 1.73, 95% CI = 1.31, 2.30), and report more hours of weekday Internet use (OR = 4.12, 95% CI = 2.41, 7.07). Those with a high school education or less (OR = 0.44, 95% CI = 0.31, 0.63) and those with some college (OR = 0.66, 95% CI = 0.49, 0.89) were less likely to search for health information. Online support groups were more likely to be used by those with “fair” health (OR = 3.28, 95% CI = 1.21, 8.92) and “poor” health (OR = 5.98, 95% CI = 1.49, 24.07) and those with lower incomes (OR = 2.64, 95% CI = 1.09, 6.41) and less likely to be used by those with Internet access both at home and work (OR = 0.56, 95% CI = 0.35, 0.90). Those who were age 35-49 (OR = 2.16, 95% CI = 1.43, 3.26), age 50-64 (OR = 2.44, 95% CI = 1.53, 3.89), and age 65-74 (OR = 2.18, 95% CI = 1.30, 3.67) and those who were married (OR = 1.93, 95% CI = 1.13, 3.30) were more likely to purchase medicine or vitamins online. Conclusions The Internet was most widely used as a health information resource, with less participation in the purchase of medicine and vitamins and in online support groups. Results suggest that modifying survey questions to better capture forms of online support and medications purchased could provide greater understanding of the nature of participation in these activities.

[1]  Paul K J Han,et al.  Perceived Ambiguity About Cancer Prevention Recommendations: Relationship to Perceptions of Cancer Preventability, Risk, and Worry , 2006, Journal of health communication.

[2]  Robert P. Hawkins,et al.  CHESS: 10 years of research and development in consumer health informatics for broad populations, including the underserved , 2002, Int. J. Medical Informatics.

[3]  Suzanne Pingree,et al.  Cultural Differences in Use of an Electronic Discussion Group , 2003, Journal of health psychology.

[4]  Joseph Tan,et al.  Mapping e-health strategies: thinking outside the traditional healthcare box , 2005, Int. J. Electron. Heal..

[5]  Terisa Davis,et al.  Health Information National Trends Survey 2005 (HINTS 2005) , 2005 .

[6]  B. Hesse,et al.  Cancer-Related Information Seeking: Hints from the 2003 Health Information National Trends Survey (HINTS) , 2006, Journal of health communication.

[7]  J. Horrigan Online communities: Networks that nurture long-distance relationships and local ties , 2001 .

[8]  Gary L. Kreps,et al.  Evaluating new health information technologies: expanding the frontiers of health care delivery and health promotion. , 2002, Studies in health technology and informatics.

[9]  John B. Horrigan,et al.  Pew Internet & American Life Project , 2002 .

[10]  Janet Morahan-Martin,et al.  How Internet Users Find, Evaluate, and Use Online Health Information: A Cross-Cultural Review , 2004, Cyberpsychology Behav. Soc. Netw..

[11]  D. Gustafson,et al.  Effect of computer support on younger women with breast cancer , 2001, Journal of General Internal Medicine.

[12]  Andrew Pleasant,et al.  Unweaving the Web: An Exploratory Study of Low-Literate Adults' Navigation Skills on the World Wide Web , 2002, Journal of health communication.

[13]  Lee Rainie,et al.  The online health care revolution: how the web helps americans take better care of themselves , 2000 .

[14]  Gary L. Kreps,et al.  The Health Information National Trends Survey (HINTS): Development, Design, and Dissemination , 2004, Journal of health communication.

[15]  L. Baker,et al.  Use of the Internet and e-mail for health care information: results from a national survey. , 2003, JAMA.

[16]  Carol E Golin,et al.  How New Subscribers Use Cancer-Related Online Mailing Lists , 2005, Journal of medical Internet research.

[17]  Gary L. Kreps,et al.  Trust and sources of health information: the impact of the Internet and its implications for health care providers: findings from the first Health Information National Trends Survey. , 2005, Archives of internal medicine.

[18]  A. Atienza,et al.  Awareness of the National Cancer Institute's Cancer Information Service: Results from the Health Information National Trends Survey (HINTS) , 2006, Journal of health communication.

[19]  Bradford W Hesse,et al.  Use of the Internet to Communicate with Health Care Providers in the United States: Estimates from the 2003 and 2005 Health Information National Trends Surveys (HINTS) , 2007, Journal of medical Internet research.

[20]  G. Eysenbach The Impact of the Internet on Cancer Outcomes , 2003, CA: a cancer journal for clinicians.

[21]  Daniel P. Lorence,et al.  Assessing Health Consumerism on the Web: A Demographic Profile of Information-Seeking Behaviors , 2006, Journal of Medical Systems.

[22]  N. Keenan,et al.  Health-related Information on the Web: Results From the HealthStyles Survey, 2002–2003 , 2006, Preventing chronic disease.