Predictive Factors of Health-Related Quality of Life in Patients with Liver Cancer

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Article Type:
Research/Original Article (دارای رتبه معتبر)
Abstract:
Background

Primary liver cancer is one of the most malignant and deadly cancers, which reduces the quality of life. Health-related quality of life (HRQOL) is an important criterion for evaluating the health care, controlling diseases, outcomes, benefits, and disadvantages of treatments, quality of medical treatment and nursing care, and screening individuals at risk for physical and psychological problems. The aim of this study was to investigate the predictive factors of HRQOL in patients with liver cancer. The results of this study can improve the quality of life of the patients and the level of health care.

Materials and Methods

This study was performed on 272 patients referred to Imam Khomeini Hospital in Tehran (2018-2019), by using convenience sampling method. For assessing patients, we used Function Assessment Cancer Therapy, Hospital Anxiety and Depression Scale, Fatigue Severity Scale, Edmonton Symptoms Assessment Scale, and Characteristics Demographic. Data were collected in two stages (before and one month after treatment). In order to validate these tools, previous studies were cited and their reliability was assessed by test-retest. Data were analyzed by using SPSS software version 21. Descriptive statistics, correlation test, paired t test, and linear regression were used as appropriated.

Results

The mean HRQOL score in patients with liver cancer was 58.11 (±17.31). Effective factors in HRQOL was the type of treatment, physical and psychological consequences, and some demographic characteristics.

Conclusion

The present study showed that many factors can predict HRQOL in patient with liver cancer. Also, awareness of these factors provides the basis for developing effective care plans to promote HRQOL and increase life expectancy in affected patients. These factors are very important because based on them HRQOL of patient with liver cancer can be estimated with 59/8% accuracy.

Language:
Persian
Published:
Pages:
23 to 30
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