Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
3814546 | Patient Education and Counseling | 2011 | 6 Pages |
ObjectiveTo investigate the individualized nature of eHealth communication, it is necessary for us to go beyond the conventional approach to explain the effect of eHealth initiatives. The current article proposes transaction logfile analysis as a unique method to probe the process by which individuals locate needed information and obtains benefits out of it.MethodsThis article discusses the background of logfile analysis along with practical and methodological issues related to the analysis of log data.ResultsThis article recommends potential solutions to resolve issues discussed in the Section 2.ConclusionsThis article discusses how transaction logfile analysis could benefit eHealth researchers, along with its relevance and application in health communication research. Logfile analysis could provide rich knowledge on how eHealth applications and tools work if performed on a regular basis, incorporated with appropriate measurement techniques and research design, and interpreted carefully.Practice implicationsLogfile analysis can point toward important design implications for more effective eHealth applications. Further, interventions employing logfile analysis require not only well-designed research models but also interdisciplinary research team to handle the multifaceted work involved in the process.