Objective: This study aims to clarify the relationships among perceived uncertainty, adaptation and QOL of newly diagnosed breast cancer patients using covariance structure analysis.
Methods: A questionnaire survey was conducted among 147 breast cancer patients. Patients' perceived uncertainty was assessed using the Universal Uncertainty in Illness Scale (UUIS), and their adaptation and QOL were evaluated using POMS-TMD and QLI-CV respectively. A model was made with reference to Mishel's model of perceived uncertainty in illness.
In this model, the uncertainty perceived by a patient under the influence of antecedent factors affects her adaptation and QOL. The model was analyzed using covariance structure analysis.
Results: All respondents were female, and their average age was 52.6 years (SD=9.9). The model selected in this study indicated that uncertainty affected by certain antecedent factors (e.g., pain, number of years of schooling, availability of consultation with a doctor or a nurse) directly influenced adaptation and QOL. In addition, uncertainty affected by antecedent factors affected QOL via adaptation. (GFI= .967, AGFI= .924, CFI= .968, RMSEA= .066).
Implications for practice: Discussion: Because the risks of recurrence and metastasis cannot be eliminated for breast cancer patients, their uncertainty is said to persist for life. The model showed that patients’ perceived uncertainty prevented them from adapting to their circumstances, resulting in a decline in QOL.
It was also suggested that nurses' support helped to reduce perceived uncertainty. Continual support by nurses is essential for breast cancer patients to control their perceived uncertainty and to maintain their QOL.
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