Abstract

Relationship among Dimensions of Roy Adaptation Model, General Health and Satisfaction with Life in Patients with Parkinson Disease

Author(s):Hassan Babamohamadi, Monir Nobahar, Mohaddeseh Saffari, Seyd Afshin Samaei and Majid Mirmohammadkhani

Parkinson disease (PD) is a chronic, progressive and debilitating disease. This study aimed to determine the relationship between the dimensions of Roy Adaptation Model (RAM) and General Health (GH) and Satisfaction with Life (SWL) in patients with Parkinson disease. This was a descriptive, analytic and cross-sectional study. The samples were selected from the patients with PD in 2016. The data was gathered by demographic, RAM, GH and SWL Scale questionnaires. The data was analyzed with SPSS software. In patients with PD, total adaptation score was 21.26±3.24. About the dimensions of adaptation, the scores of the physiologic mode, self-concept, role function and interdependence were 74.7±9.33, 32.37±6.04, 24.30±5.00 and 20.93±2.46, respectively. There was significant relationship between education and physiologic mode (P=0.048) and also there were significant relationships between PD experience, employment and gender and total adaptation score (P=0.002, P=0.007, P=0.006, respectively). Mean and standard deviation of total general health score was 30.97±5.03 and the means and standard deviations of its dimensions, including somatic symptoms, anxiety and insomnia, social dysfunction and depression were 10.26±2.71, 9.73±2.77, 5.13±2.23 and 5.83±1.91, respectively. There were significant relationships between social dysfunction and physiologic mode and self-concept (P=0.024 and P=0.012, respectively). The mean and standard deviation of satisfaction with life score was 21.47±3.57. Satisfaction with life had no relationship with the dimensions of RAM and general health. RAM, GH and SWL make the development of high quality care planning possible by assessing the health status of patients with PD. This leads to engagement of the patients in self-care, better adaptation, improved quality of life and also helps the nurses to make medical decisions.

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