An investigation of symptom burden and quality of life in Chinese chemo-naïve advanced lung cancer patients by using the Instrument-Cloud QOL System

Lung Cancer ◽  
2014 ◽  
Vol 84 (3) ◽  
pp. 301-306 ◽  
Author(s):  
Yuxiang Ma ◽  
Yunpeng Yang ◽  
Yan Huang ◽  
Hongyun Zhao ◽  
Xue Hou ◽  
...  
2017 ◽  
Vol 35 (15_suppl) ◽  
pp. e20546-e20546
Author(s):  
Sarah Anne Fraser

e20546 I hope to present the trial protocol as a poster at ASCO with co design work commencing 2017. Background: Lung cancer is the leading cause of cancer death in NZ.1 85% of registrations annually are stage four at diagnosis, presenting a significant burden on resources. Despite novel therapies, survival is poor and quality of life is a key consideration in patient management .2,3 Currently the aim of surveillance is to detect for disease progression and follows a three monthly pattern. There is little literature around benefits of surveillance on survival, and quality of life in these patients. 4-6 Alternative approaches to surveillance should be evaluated to ensure safe, convenient, economical care. Lung cancer outcomes for Maori patients sit significantly lower than those for New Zealand Europeans. Maori patients are twice as likely to present with locally advanced disease and four times less likely to receive curative treatment (multivariate analysis). There are significant barriers for Maori patients to attending health care including time off work, health literacy, costs, child care, language barriers, and transport. 19 Ministry of Health data describes poor outcomes for Maori lung cancer patients with rate of death sitting at 3.4 times that of non-Maori. Co-Primary End Points To determine if there is a reduction in health services utilisation (ED visits, hospital visits, unplanned clinic visits, GP visits, and Nurse Specialist contact) with the end point identified at progression, lost to follow up, or death. To compare the impact of a novel virtual surveillance model (VSM) versus usual follow-up care on patient anxiety measured using the HADS-A tool. Methods: LuCaS is a Randomised Controlled trial in patients with advanced lung cancer randomised to virtual model or standard care. Results: recruitment begins this year. Conclusions: Hypothesis:A virtual follow up model for advanced stage non-small cell lung cancer patients, extensive stage small cell lung cancer patients, and mesothelioma patients will reduce health care utilisation and patient experienced anxiety defined by reduction in Hospital Anxiety and Depression Scale (HADS-A) score, while maintaining effectiveness detecting recurrence and survival.


2017 ◽  
Vol 6 (1) ◽  
pp. 1-10
Author(s):  
Asma Ammar ◽  
Mariem Dhahri ◽  
Iheb Bougmiza ◽  
Rim Chafai ◽  
Faten Ezzairi ◽  
...  

2007 ◽  
Vol 19 (5) ◽  
pp. 341-348 ◽  
Author(s):  
S. Brown ◽  
H. Thorpe ◽  
V. Napp ◽  
J. Brown

2021 ◽  
pp. 162-168
Author(s):  
Marianne Davies

Lung cancer is the leading cause of cancer-related deaths worldwide. Most patients are diagnosed with late-stage disease. Ninety percent of lung cancer cases can be attributed to tobacco smoking. Smoking cessation efforts have led to reductions in cancer-related deaths. Early screening can help to diagnose patients at earlier stages with improved outcomes. Lung cancer patients suffer the highest symptom burden and psychological distress above other cancers. Symptom burden is due to late-stage disease and treatment side effects. Psychological distress, anxiety, and depression are influenced by internal and external stigma. These lead to the negative impact on quality of life for lung cancer patients as well as family caregivers. Lung cancer–specific tools have been developed to assist in the screening and identification of distress, stigma, and quality-of-life metrics for lung cancer patients. Several organizations have formed to support the educational and psychological needs of lung cancer patients. Early assessment of symptom and psychological distress and integration of palliative care services can improve the quality of life of patients with lung cancer.


2014 ◽  
Vol 6 (1) ◽  
pp. 35-42 ◽  
Author(s):  
C Rowland ◽  
S J Danson ◽  
R Rowe ◽  
H Merrick ◽  
P J Woll ◽  
...  

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