Health Qual Life Out
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Health Qual Life Out · Nov 2019
The relationship between individual-level deprivation and health-related quality of life.
To examine the association between individual-level deprivation and health-related quality of life (HRQL) in the general population. ⋯ Individual-level deprivation is associated with worse HRQL. Poverty reduction strategies should consider the effects of not only neighbourhood-level deprivation, but also that of individual-level deprivation to improve overall health.
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Health Qual Life Out · Nov 2019
Patient's quality of life after surgery and radiotherapy for extremity soft tissue sarcoma - a retrospective single-center study over ten years.
The purpose of this study is to analyze major complication rates and different aspects of health-related quality of life (HRQoL) in extremity soft tissue sarcoma (STS) patients treated with or without radio (chemo) therapy and surgery. ⋯ This study might assist in further improving the understanding of QoL in STS patients and may animate for prospective studies examining the oncological therapies impact on HRQoL.
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Health Qual Life Out · Nov 2019
Health-related quality of life and its predictors among patients with breast cancer at Tikur Anbessa Specialized Hospital, Addis Ababa, Ethiopia.
Breast cancer is the second most prevalent malignancy in Ethiopia and severely affects patients' health-related quality of life (HRQOL). We aimed to assess HRQoL, factors influencing HRQoL, and utilities among breast cancer patients at Tikur Anbessa Specialized Hospital, Addis Ababa, Ethiopia. ⋯ The overall GQoL of breast cancer patients was moderate. Targeted approaches to improve patients' HRQoL should consider stage of cancer, cognitive functioning, pain, financial status and worries about the patient's future health. This study also provides estimates of EQ-5D utility scores that can be used in economic evaluations.
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Health Qual Life Out · Oct 2019
Mapping function from FACT-B to EQ-5D-5 L using multiple modelling approaches: data from breast cancer patients in China.
The Functional Assessment of Cancer Therapy-Breast (FACT-B) is the most commonly used scale for assessing quality of life in patients with breast cancer. The lack of preference-based measures limits the cost-utility of breast cancer in China. The goal of this study was to explore whether a mapping function can be established from the FACT-B to the EQ-5D-5 L when the EQ-5D health-utility index is not available. ⋯ This study establishes a mapping algorithm based on the Chinese population to estimate the EQ-5D-5 L index of the FACT-B and confirms that OLS models have higher explanatory power and that TPMs have lower prediction error. Given the accuracy of the mean prediction and the simplicity of the model, we recommend using the OLS model. The algorithm can be used to calculate EQ-5D scores when EQ-5D data are not directly collected in a study.
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Health Qual Life Out · Jul 2019
Areas of work-life in Spanish hostelry professionals: explanatory power on burnout dimensions.
Researchers have studied for decades workplace stress and burnout to identify their relationship to health and wellness. This research has focused on stress levels in people, as well as on environmental and personal factors that contribute to experiencing stress or burnout. In addition to the burnout measurement questionnaires (MBI-GS), Leiter and Maslach designed a model to evaluate the areas of work environment that relate to this construct (Areas of Worklife Scale-AWLS). The goal of the present research was to analyze the psychometric properties of a Spanish translation of the MBI (GS) and the AWLS with a Spanish-speaking population. This work makes a substantial contribution by addressing the need to use validated measures and methods when exploring the positive and negative aspects of organizations. These conditions provide a means to accurately evaluate the impact of interventions aimed to address stress and burnout. ⋯ The best explained dimension is that of emotional exhaustion. The manageable load variable is the one that most contributes to predicting burnout levels. For future interventions, the results confirm the need to verify the levels of each area of work, in order to focus on the most deteriorated ones.