Page 64 - Exploring the Potential of Self-Monitoring Kidney Function After Transplantation - Céline van Lint

62 Chapter 3
Table 5. Controlled correlation between independent factors and behavioural intention (BI).
Factors correlating with BI
Performance expectancy- insight
Performance expectancy- time
Affect
Trust
Note: *the 95% CI does not include 0.
Table 6. Model coefficients.
Control factors
Performance expectancy-time, trust, and affect
Performance expectancy-insight, trust, and affect
Performance expectancy-insight, performance expectancy-time, and trust
performance expectancy-insight, performance expectancy-time, and affect
Correlation
0.07 0.36 0.39*
-0.19
Coefficients Bootstrap Coefficients
Model 1 B Std. Err Beta t p Bias
Std. Err p
95% CI
Lower Upper
(Constant) 3.05 0.74 4.12 <.001 -0.21
0.96 0.002 0.50 4.26
Affect 0.49 0.12 0.51 3.98 <.001 0.03
0.15 0.001 0.31 0.90
DISCUSSION
Kidney transplantation is the treatment of choice for patients with end stage renal disease, but does not free patients from needing medical care. As kidney transplant patients have to adhere to a strict medication regimen and need to be frequently monitored for signs of graft dysfunction, they are still considered chronically ill. Self-management, the process of managing symptoms, treatment, physical and psychosocial consequences by patients themselves in daily life, has been proposed to be useful when dealing with chronic illness [4]. A self-management support system (SMSS) aimed at empowering patients by giving them more control of their care process and daily activities, can help to implement self-management in daily life [5]. The current study investigated kidney transplant patients’ intention to use a SMSS and potential explaining factors.