Quality of Life and Its Predictors among Patients with Selected Chronic Diseases

Author:

Al Qadire Mohammad12ORCID,ALHosni Fatima1,Al-Daken Laila1ORCID,Aljezawi Ma’en12ORCID,Al Omari Omar1ORCID,Khalaf Atika3ORCID

Affiliation:

1. College of Nursing, Sultan Qaboos University, P.O. Box 66, PC 123, Muscat, Oman

2. Faculty of Nursing, Al Al-Bayt University, P.O. Box 130040, Mafraq 25113, Jordan

3. Faculty of Health Sciences, Kristianstad University, SE-291 88 Kristianstad, Sweden

Abstract

Background. Quality of life (QoL) is an important measure to understand the effect of diseases on patients’ daily living. Yet, the research on QoL among patients with chronic diseases in Oman is scarce. This study aimed to assess the level and determine the predictors of QoL among patients with chronic diseases in Oman. Methods. A cross-sectional correlational descriptive was run among 340 patients with chronic obstructive pulmonary disease (COPD), chronic heart failure, and/or end-stage renal disease. Results. Participants’ mean age was 60.6 years (SD ± 14.4) and the majority were males (63.5%). The highest mean scores were emotional well-being (mean = 85.2, SD = ±11.2) and role limitations due to personal or emotional problems (mean = 83.2, SD = ±35.8). In addition, COPD patients reported the lowest scores on the QoL questionnaire. Having a high score on the Karnofsky Performance Status Scale (KPSS) and being married predicted a higher score in the mental and physical domains of QoL, while having a higher total symptom number and COPD predicted a lower score in the mental domain. Older age, higher total symptom number, and a higher distress level predicted a lower score on the physical domain of QoL. Conclusion. The results call for a need to improve the QoL among the patients with chronic disease, including symptom management plans, self-management programmes, and training to enhance their own perception of QoL. Furthermore, symptom management plans are highly needed.

Publisher

Hindawi Limited

Subject

General Nursing

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3