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Patients' and partners' perspectives of chronic illness and its management.

Maria G ChectonKathryn GreeneKate Magsamen-ConradMaria K Venetis
Published in: Families, systems & health : the journal of collaborative family healthcare (2012)
This study is framed in theories of illness uncertainty (Babrow, A. S., 2007, Problematic integration theory. In B. B. Whaley & W. Samter (Eds.), Explaining communication: Contemporary theories and exemplars (pp. 181-200). Mahwah, NJ: Erlbaum; Babrow & Matthias, 2009; Brashers, D. E., 2007, A theory of communication and uncertainty management. In B. B. Whaley & W. Samter (Eds.), Explaining communication: Contemporary theories and exemplars (pp. 201-218). Mahwah, NJ: Erlbaum; Hogan, T. P., & Brashers, D. E. (2009). The theory of communication and uncertainty management: Implications for the wider realm of information behavior. In T. D. Afifi & W. A. Afifi (Eds.), Uncertainty and information regulation in interpersonal contexts: Theories and applications, (pp. 45-66). New York, NY: Routledge; Mishel, M. H. (1999). Uncertainty in chronic illness. Annual Review of Nursing Research, 17, 269-294; Mishel, M. H., & Clayton, M. F., 2003, Theories of uncertainty. In M. J. Smith & P. R. Liehr (Eds.), Middle range theory for nursing (pp. 25-48). New York, NY: Springer) and health information management (Afifi, W. A., & Weiner, J. L., 2004, Toward a theory of motivated information management. Communication Theory, 14, 167-190. doi:10.1111/j.1468-2885.2004.tb00310.x; Greene, K., 2009, An integrated model of health disclosure decision-making. In T. D. Afifi & W. A. Afifi (Eds.), Uncertainty and information regulation in interpersonal contexts: Theories and applications (pp. 226-253). New York, NY: Routledge) and examines how couples experience uncertainty and interference related to one partner's chronic health condition. Specifically, a model is hypothesized in which illness uncertainty (i.e., stigma, prognosis, and symptom) and illness interference predict communication efficacy and health condition management. Participants include 308 dyads in which one partner has a chronic health condition. Data were analyzed using structural equation modeling. Results indicate that there are significant differences in (a) how patients and partners experience illness uncertainty and illness interference and (b) how appraisals of illness uncertainty and illness interference influence communication efficacy and health condition management. We discuss the findings and implications of the study.
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