scholarly journals P2.08-003 Quality of Life and Patient Reported Outcome Measures for Lung Cancer Patients; Treatment Outcomes, and Patient Management

2017 ◽  
Vol 12 (1) ◽  
pp. S1110-S1111
Author(s):  
Winfield Boerckel ◽  
Carolyn Aldige ◽  
Dusty Donaldson ◽  
Hildy Grossman ◽  
Vicki Kennedy ◽  
...  
2021 ◽  
Author(s):  
Pimrapat Gebert ◽  
Daniel Schindel ◽  
Johann Frick ◽  
Liane Schenk ◽  
Ulrike Grittner

Abstract BackgroundPatient-reported outcome measures (PROMs) are commonly used and are surrogates for clinical outcomes in cancer research. In the research setting of very severe diseases such as cancer, it is difficult to avoid the problem of incomplete questionnaires from drop-out or missing data due to patients who deceased during observation period. We aimed to explore patient characteristics and patient-reported outcomes associated with the time-to-dropout. MethodsIn the Oncological Social Care Project (OSCAR) study the condition of participants was assessed four times within 12 months (t0: baseline, t1: 3 months, t2: 6 months, and t3: 12 months) by validated PROMs. We performed competing-risks regression based on Fine and Gray’s proportional sub-distribution hazards model for exploring factors associated with time-to-dropout. Death was considered as competing risk. ResultsThree hundred sixty-two participants were analyzed in the study. 193 (53.3%) completed follow-up at 12 months, 67 (18.5%) patients dropped out, and 102 patients (28.2%) died during the study period. Poor subjective social support was related to higher risk for drop-out (SHR=2.10; 95%CI: 1.01 – 4.35). Lower values in health-related quality of life were related to drop-out and death. The subscales global health status/QoL, role functioning, physical functioning, and fatigue symptom in the EORTC QLQ-C30 were key characteristics associated with early drop-out.ConclusionSeverely affected cancer patients with poor social support and poor quality of life seem more likely to drop out of studies compared to patients with higher levels of social support and quality of life. This should be considered when planning studies assessing cancer patients. Methods to monitor drop-outs timely and handle missing outcomes might be used. Results of such studies have to be interpreted with caution in light of the particular drop-out mechanisms.


Author(s):  
Charlotte T. J. Michels ◽  
Carl J. Wijburg ◽  
Inger L. Abma ◽  
J. Alfred Witjes ◽  
Janneke P. C. Grutters ◽  
...  

Abstract Background The Bladder Cancer Index (BCI) and Functional Assessment of Cancer Therapy-Bladder-Cystectomy (FACT-Bl-Cys) were developed to measure disease-specific health-related quality of life (HRQOL) in bladder cancer patients and patients treated with radical cystectomy, respectively. Both patient-reported outcome measures (PROMs) are frequently used in clinical practice, but are not yet validated according to the COSMIN criteria and not yet available in Dutch. Therefore, the aim of this study was to translate the BCI and FACT-Bl-Cys into Dutch and to evaluate their measurement properties according to the COSMIN criteria. Methods The BCI and FACT-Bl-Cys were translated into Dutch using a forward-backward method, and subsequently administered at baseline (pre-operatively) and 3 months post-operatively in bladder cancer patients who received a radical cystectomy. Validity (content and construct), reliability (internal consistency, test-retest reliability, and measurement error), floor and ceiling effects, and responsiveness were assessed according to the COSMIN criteria. Results Forward-backward translation encountered no particular linguistic problems. In total 260 patients completed the baseline measurement, while 182 patients completed the three-month measurement. Only a ceiling effect was identified for the BCI. Hypotheses testing for construct validity was satisfying, as 67% and 92% of the hypothesized correlations were confirmed. Structural validity was moderate for both measures, as confirmatory factor analyses showed limited fit. Reliability of both PROMs was good. The intraclass correlation coefficient (ICC) of the BCI domains ranged from 0.47 to 0.93, minimal value of Cronbach’s α was 0.70, smallest detectable change on group level (SDC group) ranged from 1.9 to 8.6. The ICC of the FACT-Bl-Cys domains ranged from 0.43 to 0.83, minimal value of Cronbach’s α was 0.77, SDC group was around 1. Only the FACT-Bl-Cys total score was found to be responsive to changes in generic quality of life. Conclusions The Dutch versions of the BCI and FACT-Bl-Cys were shown to be reliable and have good content validity. Structural validity was limited for both measures. Only the FACT-Bl-Cys total score was responsive to changes in generic HRQOL. Despite some limitations, both PROMs seem suitable for use in clinical practice and research.


Haigan ◽  
2010 ◽  
Vol 50 (6) ◽  
pp. 791-802
Author(s):  
Yuki Kumihashi ◽  
Masaki Hanibuchi ◽  
Hideki Tomimoto ◽  
Momoyo Azuma ◽  
Takanori Kanematsu ◽  
...  

2020 ◽  
Author(s):  
Pimrapat Gebert ◽  
Daniel Schindel ◽  
Johann Frick ◽  
Liane Schenk ◽  
Ulrike Grittner

Abstract BackgroundPatient-reported outcome measures are commonly used and are surrogates for clinical outcomes in cancer research. In the research setting of very severe diseases such as cancer, it is difficult to avoid the problem of incomplete questionnaires from drop-out or missing data due to patients who deceased during observation period. We aimed to explore patient characteristics and patient-reported outcomes associated with the time-to-dropout. MethodsIn the Oncological Social Care Project (OSCAR) study the condition of participants was assessed four times within 12 months (t0: baseline, t1: 3 months, t2: 6 months, t3:12 months) by validated patient-reported outcome measures. We performed competing-risks regression based on Fine and Gray’s proportional sub-distribution hazards model for exploring factors associated with time-to-dropout. Death was considered a competing risk. ResultsThree hundred sixty-two participants were analyzed in the study. 193 (53.3%) completed follow-up at 12 months, 67 (18.5%) patients dropped out, and 102 patients (28.2%) died during the study period. Poor subjective social support was related to higher risk for drop-out (SHR=2.10; 95%CI: 1.01 – 4.35). Lower values in quality of life (EORTC QLQ-C30) were related to drop-out and death. The subscales global health status/QoL, role functioning, physical functioning, and fatigue symptom were key characteristics associated with drop-out.ConclusionSeverely affected cancer patients with poor social support and poor quality of life seem more likely to drop out of studies compared to patients with higher levels of social support and quality of life. This should be considered when planning studies assessing cancer patients. Methods to monitor drop-outs timely and handle missing outcomes might be used. Results of such studies have to be interpreted with caution in light of the particular drop-out mechanisms.


2021 ◽  
Author(s):  
Pimrapat Gebert ◽  
Daniel Schindel ◽  
Johann Frick ◽  
Liane Schenk ◽  
Ulrike Grittner

Abstract BackgroundPatient-reported outcome measures (PROMs) are commonly used and are surrogates for clinical outcomes in cancer research. In the research setting of very severe diseases such as cancer, it is difficult to avoid the problem of incomplete questionnaires from drop-out or missing data due to patients who deceased during observation period. We aimed to explore patient characteristics and patient-reported outcomes associated with the time-to-dropout. MethodsIn the Oncological Social Care Project (OSCAR) study the condition of participants was assessed four times within 12 months (t0: baseline, t1: 3 months, t2: 6 months, and t3: 12 months) by validated PROMs. We performed competing-risks regression based on Fine and Gray’s proportional sub-distribution hazards model for exploring factors associated with time-to-dropout. Death was considered as competing risk. ResultsThree hundred sixty-two participants were analyzed in the study. 193 (53.3%) completed follow-up at 12 months, 67 (18.5%) patients dropped out, and 102 patients (28.2%) died during the study period. Poor subjective social support was related to higher risk for drop-out (SHR=2.10; 95%CI: 1.01 – 4.35). Lower values in health-related quality of life were related to drop-out and death. The subscales global health status/QoL, role functioning, physical functioning, and fatigue symptom in the EORTC QLQ-C30 were key characteristics associated with early drop-out.ConclusionSeverely affected cancer patients with poor social support and poor quality of life seem more likely to drop out of studies compared to patients with higher levels of social support and quality of life. This should be considered when planning studies assessing cancer patients. Methods to monitor drop-outs timely and handle missing outcomes might be used. Results of such studies have to be interpreted with caution in light of the particular drop-out mechanisms.


Author(s):  
Lorenzo Anelli ◽  
Alessia Di Nardo ◽  
Massimo Bonucci

Abstract Introduction A retrospective clinical study was performed to identify the characteristics of patients with lung cancer treated with integrative cancer treatment in addition to conventional medicine. Materials and Methods We reviewed medical records for lung cancer patients who visited a single integrative setting in Rome, Italy. A total of 57 patients were included, and the majority had advanced-stage cancer. All of them underwent integrative therapy with nutrition and phytotherapy indications. The diet was designed to reduce most of possible factors promoting cancer proliferation, inflammation, and obesity. Foods with anti-inflammatory, prebiotic, antioxidant, and anticancer properties had been chosen. Herbal supplements with known effects on lung cancer were prescribed. In particular, astragal, apigenine, fucosterol, polydatin, epigallocatechin gallate, cannabis, curcumin, and inositol were used. Furthermore, medical mushrooms and other substances were used to improve the immune system and to reduce chemotherapy side effects. Five key parameters have been evaluated for 2 years starting at the first surgery: nutritional status, immune status, discontinuation of therapy, quality of life, and prognosis of the disease. Results A relevant improvement in parameters relative to nutritional status, immune status, and quality of life has been observed after integrative therapy compared with the same parameters at the first medical visit before starting such approach. Conclusion The results suggest that integrative therapy may have benefits in patients with lung cancer. Even though there are limitations, the study suggests that integrative therapy could improve nutritional status and quality of life, with possible positive effect on overall survival.


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