title: Predictive modelling: parents' decision making to use online child health information to increase their understanding and/or diagnose or treat their child's health.
abstract: BACKGROUND
  The quantum increases in home Internet access and available online health information with limited control over information quality highlight the necessity of exploring decision making processes in accessing and using online information, specifically in relation to children who do not make their health decisions. The aim of this study was to understand the processes explaining parents' decisions to use online health information for child health care.
  
  
  METHODS
  Parents (N = 391) completed an initial questionnaire assessing the theory of planned behaviour constructs of attitude, subjective norm, and perceived behavioural control, as well as perceived risk, group norm, and additional demographic factors. Two months later, 187 parents completed a follow-up questionnaire assessing their decisions to use online information for their child's health care, specifically to 1) diagnose and/or treat their child's suspected medical condition/illness and 2) increase understanding about a diagnosis or treatment recommended by a health professional.
  
  
  RESULTS
  Hierarchical multiple regression showed that, for both behaviours, attitude, subjective norm, perceived behavioural control, (less) perceived risk, group norm, and (non) medical background were the significant predictors of intention. For parents' use of online child health information, for both behaviours, intention was the sole significant predictor of behaviour. The findings explain 77% of the variance in parents' intention to treat/diagnose a child health problem and 74% of the variance in their intentions to increase their understanding about child health concerns.
  
  
  CONCLUSIONS
  Understanding parents' socio-cognitive processes that guide their use of online information for child health care is important given the increase in Internet usage and the sometimes-questionable quality of health information provided online. Findings highlight parents' thirst for information; there is an urgent need for health professionals to provide parents with evidence-based child health websites in addition to general population education on how to evaluate the quality of online health information.
authors.affiliation: School of Nursing, Institute of Health and Biomedical Innovation (IHBI), Queensland University of Technology, GPO Box 2434, Brisbane, Queensland, 4001, Australia. am.walsh@qut.edu.au
authors.forename: Anne M
authors.initials: AM
authors.lastname: Walsh
authors.forename: Melissa K
authors.initials: MK
authors.lastname: Hyde
authors.forename: Kyra
authors.initials: K
authors.lastname: Hamilton
authors.forename: Katherine M
authors.initials: KM
authors.lastname: White
mesh_terms: D000328:Adult; D000368:Aged; D017028:Caregivers / Q000193:education*; D002648:Child; D002675:Child, Preschool; D054626:Consumer Health Information; D003430:Cross-Sectional Studies; D003657:Decision Making; D005191:Family Characteristics; D005260:Female; D005544:Forecasting; D007722:Health Knowledge, Attitudes, Practice; D006801:Humans; D007223:Infant; D020407:Internet; D008137:Longitudinal Studies; D008297:Male; D008875:Middle Aged; D008962:Models, Theoretical; D012044:Regression Analysis; D011795:Surveys and Questionnaires; D055815:Young Adult