Effectiveness of interventions based on lazarus and folkman transactional model on improving stress appraisal for hemodialysis patients in Tehran
Mohammad Ali Morrowati Sharifabad, Mohtasham Ghaffari, Yadollah Mehrabi and 3 more
Saudi Journal of Kidney Diseases and Transplantation · 2020
doi:10.4103/1319-2442.279935 (opens in a new tab)
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Abstract
Today, we witness an increase in the prevalence of chronic kidney disease, which is a very stressful process. In order to cope with the stress caused by this disease, the first step is to appraise the stressful situation correctly. Therefore, the present study was conducted with the aim of investigating the effect of training on the basis of Lazarus and Folkman transactional model on stress appraisal for hemodialysis (HD) patients. The present quasi-experimental study was conducted on 116 filed HD patients in two dialysis centers in Tehran. The patients were randomly divided into two groups: experimental and control groups. The data were collected using a researcher-made questionnaire whose validity and reliability were confirmed. After performing the intervention, the primary and secondary appraisals’ scores were investigated before and three months after the intervention. The data were analyzed using independent /?-test, paired /-test, and covariance at a significant level of 0.05 using software Statistical Package for the Social Sciences version 16.0. The mean age of participants in the study was 52.86 years. In this study, the difference between the mean score of the primary appraisal and substructure of perceived susceptibility, motivational relevance, self-blame (casual focus), and secondary appraisal and self-efficacy substructure after the intervention was significant in the experimental group. However, these differences were not significant in the control group. According to the study results, it can be concluded that the use of training based on Lazarus and Folkman tran- sactional model can be useful for improving the correct appraisal of individuals for stressful situations.
Abstract licence: CC BY-NC-SA
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