title: Gender and online health information: a partitioned technology assessment.
abstract: OBJECTIVE
  To examine the extent to which health information seeking behaviors vary across genders or are differentially associated with access to computers, the Internet, and online health information.
  
  
  METHODS
  Stratified survey, data analysis.
  
  
  METHODS
  Using binary logistic regression we examine information seeking differences between demographic groups. Questions addressed include: 1) Are any identified groups significantly underserved regarding access to computers, access to the Internet, and preferences for seeking online health information, and 2) have differences between gender groups in access to computers, Internet services and online health information narrowed, remained constant, or widened over recent years, following recent national initiatives to narrow the technology gap for underserved populations?
  
  
  RESULTS
  Information seeking variation across gender groups and between technologies was at times significant. There was little difference in the access to computer between females and males. In 2002, 75.4% and 73.1% of female and male participants reported that they occasionally use computers, respectively. In 2000, the respective figures were 72.4% and 72.7%. The rates of use of Internet services among computer users, however, were quite different between female and male (P(at 2002)= 0.0002 and P(at 2000)= 0.0082) and the disparity in 2000 (OR = 0.7366 [0.5870, 0.9243]) increased in 2002 (OR = 0.5675 [0.4222, 0.7627]). The odds ratios (OR) indicate that females were 0.7366 and 0.5675 times less likely to use computers than male counterparts in 2000 and 2002, respectively.
  
  
  CONCLUSIONS
  Recent technology initiatives in the US aimed at reducing disparities in access to online resources appear to have had little effect in facilitating equal access to web-based health information.
authors: Department of Health Policy and Administration and School of Information Science and Technology, Pennsylvania State University, University Park, PA, USA. Danlor467@yahoo.com
authors: Daniel
authors: D
authors: Lorence
authors: Heeyoung
authors: H
authors: Park
mesh_terms: D000293:Adolescent; D000328:Adult; D003625:Data Collection; D005260:Female; D006801:Humans; D016247:Information Storage and Retrieval / Q000379:methods*; D020407:Internet; D008297:Male; D008490:Medical Informatics; D008507:Medically Underserved Area; D008875:Middle Aged; D012737:Sex Factors; D014481:United States