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Satisfaction with health status among cyber patients: testing a mediation model of electronic coping support.
- Source :
-
Behaviour & Information Technology . Jan2013, Vol. 32 Issue 1, p91-101. 11p. 2 Diagrams, 2 Charts. - Publication Year :
- 2013
-
Abstract
- There has been a growing interest among researchers about the Internet-based social support. However, not much is known about whether electronic support is associated with subjectively reported patient health outcomes. This study examines variation in satisfaction with physical health status among users of self-help groups for patients with cancer (N = 350). The analytical approach of the study differs from previous work in that satisfaction with physical health is modelled not as a predictor, but as an outcome variable. The study tested the hypothesis that perceived ability to cope with cancer mediates the association between electronic support and health satisfaction. Path analyses using ordinary least squares multiple regressions showed that there is an indirect association between electronic support and health satisfaction via perceived ability to cope with cancer. Electronic support increased perception of control over cancer, which in turn led to higher levels of satisfaction with health status. External health locus of control was associated with greater benefits derived from electronic support. This article concludes that the evaluation of physical health status includes not only clinical indicators but also subjective assessment of coping ability. Thus, the cyber social context in which health perceptions are developed has important medical implications for patient outcomes. [ABSTRACT FROM AUTHOR]
- Subjects :
- *PSYCHOLOGICAL adaptation
*CANCER patients
*STATISTICAL correlation
*DEMOGRAPHY
*HEALTH status indicators
*INTERNET
*LOCUS of control
*PATIENT satisfaction
*PSYCHOLOGICAL tests
*QUESTIONNAIRES
*SELF-efficacy
*SUPPORT groups
*WHITE people
*SEARCH engines
*SOCIAL capital
*MULTIPLE regression analysis
*SOCIAL support
*CROSS-sectional method
*SEVERITY of illness index
*DATA analysis software
Subjects
Details
- Language :
- English
- ISSN :
- 0144929X
- Volume :
- 32
- Issue :
- 1
- Database :
- Academic Search Index
- Journal :
- Behaviour & Information Technology
- Publication Type :
- Academic Journal
- Accession number :
- 85041466
- Full Text :
- https://doi.org/10.1080/0144929X.2011.603359