PROMIS-10 scores at six months post-baseline among breast and gynecologic oncology patients participating in a text-based symptom monitoring program with patient navigation.

2020 ◽  
Vol 38 (15_suppl) ◽  
pp. e19173-e19173
Author(s):  
Michelle Joy Naughton ◽  
Ritu Salani ◽  
Maryam B. Lustberg ◽  
Juan Peng ◽  
Jennifer Moon ◽  
...  

e19173 Background: Unreported symptoms during cancer treatment can lead to poorer patient care and quality of life. eHealth technologies enable effective means to track patients’ health in real time to provide assistance in meeting patients’ needs and facilitating symptom management. Methods: Gynecologic (endometrial and ovarian) and breast oncology patients were enrolled in a quality improvement program post-surgically to respond to 12-monthly, text-based symptom surveys assessing fatigue, sleep quality, pain, and depression (PHQ-9). At baseline, 6 and 12 months, patients also completed the PROMIS-10 to assess their physical and mental health functioning. All patient responses were captured in REDCap and monitored by program staff, with patients’ oncologists receiving monthly feedback for patient follow-up. Patient navigators were also engaged for patients needing assistance with non-medical concerns. We provide the interim results of this program on PROMIS-10 scores from baseline to 6 months. Results: 198 breast and 120 gynecologic oncology patients (ovarian [n = 70] and endometrial [n = 50]) were enrolled. Multiple regression examined the impact of demographic (age, race, education), clinical (stage, chemotherapy, radiation), and monitoring program variables (# of monthly surveys completed, navigation services [yes/no]) on PROMIS-10 physical and mental health subscale scores at 6 months, adjusting for baseline PROMIS scores. For the breast patients, the only significant predictor of worse PROMIS physical health scores was a cancer stage of 4 vs 1 (p = 0.049), whereas a higher number of symptom surveys completed was associated with worse mental health functioning (p = 0.033). For the gynecologic oncology patients, worse PROMIS physical health scores were only associated with higher age (p = 0.037), but higher PROMIS mental health was also associated with higher age (p = 0.029) and borderline significantly associated with not using navigation services (p = 0.07). Conclusions: These results indicate that greater adherence in completing monthly symptom surveys and using navigation services were more likely to be associated with patients reporting lower mental health. PROMIS physical health scores, however, were not significantly associated with adherence to monthly surveys or navigation services. These interim results suggest that monitoring programs, such as this, may assist in identifying and treating patients with lower mental health functioning during treatment.

2018 ◽  
Vol 48 (2) ◽  
pp. 149-168 ◽  
Author(s):  
Krista J. Van Slingerland ◽  
Natalie Durand-Bush ◽  
Scott Rathwell

We examined the level and prevalence of mental health functioning (MHF) in intercollegiate student-athletes from 30 Canadian universities, and the impact of time of year, gender, alcohol use, living situation, year of study, and type of sport on MHF. An online survey completed in November 2015 (N = 388) and March 2016 (n = 110) revealed that overall, MHF levels were moderate to high, and more student-athletes were flourishing than languishing. MHF levels did not significantly differ across time based on gender, alcohol use, living situation, year of study, and type of sport. Eighteen percent reported a previous mental illness diagnosis and yet maintained moderate MHF across time. These findings support Keyes’ (2002) dual-continua model, suggesting that the presence of mental illness does not automatically imply low levels of well-being and languishing. Nonetheless, those without a previous diagnosis were 3.18 times more likely to be flourishing at Time 1 (November 2015).  


Author(s):  
Sung-Joo Yoon

This study analyzes the dynamic interaction of an individual’s physical and mental health using the German Socio-Economic Panel and the Cross-National Equivalent File of Germany. Its main objective is to find a way to reduce people’s health expenditure by examining the magnitude of the interdependence between physical and mental health. For the analysis, this study develops a dynamic correlated random effects model. We create two aggregate health measures (aggregate physical health and aggregate mental health) with four submeasures each, which provides a better understanding of changes in an individual’s health status by capturing additional information that cannot be analyzed at the aggregate level. There is clear evidence that the persistence of a mental health condition is less than that of a physical health condition. Moreover, the impact of previous mental health on current physical health is greater than that of previous physical health on current mental health. This suggests that individuals can reduce their expenditures on physical health problems by focusing on the treatment of mental problems when they first arise. Finally, the Government’s attention and support toward mental health care would lead to a reduction in health expenditures and eventually improve the sustainability of the nation’s health system.


2007 ◽  
Vol 33 (3) ◽  
pp. 419-427 ◽  
Author(s):  
Noelle R. Leonard ◽  
Marya Viorst Gwadz ◽  
Charles M. Cleland ◽  
Lauren Rotko ◽  
Karla Gostnell

2020 ◽  
Vol 13 (2) ◽  
pp. 119-128
Author(s):  
Kirill Kosilov ◽  
Hiroki Amedzawa ◽  
Irina Kuzina ◽  
Vladimir Kuznetsov ◽  
Liliya Kosilova

Aim: The study of the impact of socio-economic, demographic factors and polymorbidity on the quality of life associated with health (HRQoL) in elderly people from Japan and Russia. Background: Factors affecting the quality of life of the elderly in both countries are poorly understood. Objective: Make a comparative analysis of factors affecting the quality of life of the elderly of both sexes in Japan and Russia. Methods: The age range in this study is 65-95 years old. For the study of HRQoL, a questionnaire Health Status Survey-Short Form 36v2 was used, including two main domains: physical and mental health. The level of polymorbidity was studied using CIRS-G. The linear regression model of the influence of variables upon HRQoL was calculated for SES, demographic characteristics, and morbidity. Results: Strong associations with HRQoL in the combined sample had a living together with relatives (r=6.94 (5.17-8.72) p<0,05), the incidence rate (r=8.50 (5.51-11.49), p<0.01) and the older age (r=5.39 (2.63-8.16), p<0,01.). The elderly inhabitants of Japan had a higher self-assessment for physical health in the age ranges 65-74 and over 85 years old (p<0.05), and a higher selfassessment of mental health at the age of 75-84 years old. Sixty-eight elderly Japanese and 48% Russians estimated their physical health as normal. Conclusion: The effect of living together, morbidity and age upon HRQoL is manifested equally strongly both among the inhabitants of Japan and among the Russians. The elderly Japanese estimate the state of physical and mental health as a whole higher than their Russian peers.


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