Management and health-related quality of life among patients with prostate cancer in a Kenyan tertiary health facility

Abstract

Introduction

Advances made in the screening, diagnosis and management of prostate cancer have improved the survival rates of the patients. However, many of these treatments including surgery, radiotherapy, and pharmacotherapy, have an impact on the subsequent health-related quality of life (HRQoL) of these patients. Since it is an important prognostic factor of survival, failure to evaluate the HRQoL and its predictors in these patients typically results in long-term deficits in their overall well-being, that is, their physical, social, emotional, and mental health. The objective of this study was to evaluate the management and HRQoL among patients with prostate cancer at Kenyatta National Hospital.

Methods

This was a descriptive cross-sectional study. The sample size of 62 patients who met the eligibility criteria was selected through simple random sampling on the respective clinic days of the cancer treatment centre and urology clinic. Data was collected through a pre-tested structured questionnaire and HRQoL tools which are EORTC-QLQ-C30 and EORTC-QLQ-PR25 and analysed using STATA version 13 software. Descriptive analysis was used to summarise the continuous and categorical variables. Spearman's rho (r_s) correlation was used to determine the predictors of HRQoL based on the strength and significance of association at 0.05 level of significance.

Results

The mean age of the participants was 70.5 (±7.35) years. The majority (52, 83.9%) of the patients had a prostate specific antigen (PSA) above 20 ng/ml. Twenty-one (33.9%) were graded as Gleason group 5 and 41 (66.1%) had stage IV disease at diagnosis. Fifty (80.9%) participants were on hormonal therapy, with most of them being on combined androgen blockade. The overall HRQoL was 65.1. Fatigue, one of the major complaints among these patients, was negatively associated with physical functioning (p = 0.0005), role functioning (p = 0.0026), social functioning (p = 0.0001), financial difficulties (p = 0.0077) and quality of life (p = 0.0050).

Conclusion

Fatigue was the most common predictor of poor HRQoL in several scales of measurement. For those on management, frequent assessment of HRQoL should be carried out and interventions instituted immediately.