Background and Aim:
Cancer is the second cause of death after cardiovascular diseases in the world. Each year, more than 70,000 new cases of cancer and 30,000 deaths from cancer have been recorded in Iran. Cancer also reduces quality of life (QoL) by creating negative physical and mental symptoms. The purpose of this study was to investigate the relationship between mental health, spiritual well-being and QoL among cancer patients receiving chemotherapy.
Method:
About 208 adults suffering from cancer and receiving chemotherapy in Shiraz hospitals were entered in the study and they were asked to complete the Paloutzian and Ellison Spiritual Well-being Questionnaire, and Goranowski Mental Health, Quality of Life and Excitement Questionnaire. For data analysis, descriptive statistics including mean (standard deviation) and frequency (percentages) were used in table and chart format, moreover Spearman correlation tests were also used.
Results:
The results of the study revealed that there was a positive and significant correlation between mental health and QoL (
P
= 0.001) in cancer patients receiving chemotherapy. The results of the study revealed that there was a positive and significant correlation between spiritual well-being and mental health (
P
= 0.001) and QoL (
P
= 0.01) in cancer patients receiving chemotherapy, but there was a negative and significant Correlation between spiritual well-being and negative emotions (
P
= 0.47). On the other hand, there was a negative and significant correlation between mental health (
P
= 0.026) and QoL (
P
= 0.019) and negative emotions respectively.
Conclusion:
The results of this study showed that there was a positive and significant relationship between spiritual well-being, mental health, and QoL in cancer patients.
New technologies, such as serious games and ambient activities, are being developed to address problems of under-stimulation, anxiety, and agitation in millions of people living with dementia in long term care homes. Frequent interactions with instrumented versions of these technologies may not only be beneficial for long term care residents, but may also provide a valuable new set of multifaceted data related to the health status of residents over time. In this paper, we develop a model for health monitoring in healthcare environments and we report on two studies that show how medically relevant data can be collected from elderly residents and emergency department patients in an unobtrusive way. The first study shows how data related to cognitive abilities can be collected from elderly emergency department patients and the second study shows how detailed data on a range of factors can be collected from ambient activity units designed to provide engaging interactions for long term care residents. In summary, this paper proposes the use of new technologies to transform long term care from a data poor to a data rich environment, where the health status of long term care residents and elderly patients is more closely monitored.
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