Informational and decisional empowerment in online health support communities: initial psychometric validation of the Cyber Info-Decisional Empowerment Scale (CIDES) and preliminary data from administration of the scale
- 336 Downloads
This article presents initial psychometric validation of an instrument developed to measure cyber informational and decisional empowerment. The article provides preliminary insights into the extent to which cyber patients view the digital environment of peer-based information and support as a resource for informed and empowered participation in self health care management.
Data come from cancer patients (N = 350) who participated in the Study of Virtual Health Networks for Cancer Patients of the 21st Century. Data were first analyzed using exploratory factor analysis with principle component extraction and Varimax rotation. Age-based split-sample analysis (≥51 and ≤50) was performed on a subsample, which consisted of only women (N = 255), in order to cross-validate psychometric data obtained from the full sample. A confirmatory factor analysis was conducted using AMOS 19.0. to further validate the scale.
The composite scale is unidimensional with excellent internal consistency reliability. The highest average scores were obtained for informational empowerment items. The lowest average was for the item that measured empowerment to seek second opinion from additional health care professionals.
The ability of this composite measure to provide information about the extent to which computer-connected patients view digital peer support as an empowerment tool makes it a valuable addition to the literature in health informatics, supportive cancer care, and health quality of life research.
KeywordsCyber patients Cancer Information Exploratory factor analysis
Conflict of interest
No conflict of interest, financial or other, exists.
- 3.Pew Internet & American Life Project. The engaged e-patient population. Available at: http://www.pewinternet.org. Accessed February 1, 2007.
- 11.Rochman B (2010) Group therapy: why so many patients are sharing their medical data online. Time 47–48Google Scholar
- 12.Nimrod G (2009) Seniors' online communities: a quantitative content analysis. Gerontologist 503:382–392Google Scholar
- 13.Seçkin G (2007) Virtual networks for cancer patients of the 21st century: patient empowerment, psychological well-being, and trauma transcendence. Doctoral Dissertation. Available from ProQuest database (Document ID: 1459916491. Source: DAI-A 68/12 Publication number: AAT3295352)Google Scholar
- 14.Hara R (2010) How to evaluate online resources and support for people affected by cancer. Oncol Nurs Adv 39–40.Google Scholar
- 15.iCrossing, a digital marketing company (2010) How America searches: health and wellness. Available at: http://www.icrossing.com. Accessed May 27, 2010
- 16.Medical Library Association. A user’s guide to finding and evaluating health information on the Web. Available: http://www.mlanet.org/resources/userguide.html. Accessed November 27, 2009
- 17.Todman J, Dugard P (2007) Approaching multivariate analysis. An introduction for psychology. Psychology Press, New YorkGoogle Scholar
- 18.Hair JF, Black WC, Babin BJ, Anderson RE, Tatham RL (2006) Multivariate data analysis. Pearson, New JerseyGoogle Scholar
- 20.Kenny DA (2010) Measuring model fit. Available: http://www.davidakenny.net/kenny.htm. Accessed February 19, 2011
- 23.Cullen R. Health information on the Internet (2006) A study of providers, quality, and users. Praeger, WestportGoogle Scholar