21 - SOCIAL MEDIA USE (SM), QUALITY OF LIFE (QOL), DISTRESS AND SOCIAL SUPPORT AMONG BREAST AND GYNECOLOGIC CANCER PATIENTS AND SURVIVORS (N=255)

2019 ◽  
Author(s):  
Leah Tolby ◽  
Elisa Hofmeister ◽  
Oxana Palesh
Keyword(s):  
Quality Of Life ◽  
Social Support ◽  
Social Media ◽  
Cancer Patients ◽  
Media Use ◽  
Gynecologic Cancer ◽  
Social Media Use ◽  
Breast And Gynecologic Cancer

scholarly journals The Ties That Bind: How Online and Offline Interactions Affect Social Support and Quality of Life for Older Adults

2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 301-301
Author(s):  
Shelia Cotten
Keyword(s):  
Quality Of Life ◽  
Social Support ◽  
Older Adults ◽  
Social Media ◽  
Information And Communication Technologies ◽  
Social Engagement ◽  
Social Ties ◽  
Media Use ◽  
Social Media Use

Abstract Though a digital divide still exists, older adults are increasingly using a range of information and communication technologies (ICTs) – smartphones, apps, tablets, and computers – to communicate and engage with social ties. This symposium focuses on modalities of interaction – whether online or offline – that older adults use to interact with social ties. The research projects detailed examine the frequency of different interaction modalities, as well as impacts of these interaction modalities on older adults’ perceptions of social support and quality of life. Kadylak and colleagues focus on social robots and how older adults may engage with this evolving technology to improve social engagement and aging in place. Kim and Fingerman investigate whether daily social media use is associated with same-day negative or positive mood in later life. Xie and colleagues examine older adults’ patterns of both online and offline social interaction during COVID-19, and how older adults perceive these interactions. Schuster and Cotten, using a national sample of individuals aged 65 and older, examine whether social media use may be related to a range of quality of life indicators. Each of these studies provides additional insights into the ways through which older adults interact and communicate with social ties, and potential impacts of the different ways through which they interact, which may provide insights into groups seeking to increase social engagement among older adults in general and during times when social isolation may be exacerbated due to societal stressors, such as pandemics.

Using the Risk Assessment Index to predict mortality and quality of life in breast and gynecologic cancer patients.

2020 ◽  
Vol 38 (29_suppl) ◽  
pp. 239-239
Author(s):  
Ellen Ormond ◽  
Jeffrey Borrebach ◽  
Stefanie C Altieri Dunn ◽  
Andrew Bilderback ◽  
G J. Van Londen ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Cancer Patients ◽  
Gynecological Cancer ◽  
Gynecologic Cancer ◽  
Hospital Utilization ◽  
Assessment Index ◽  
Frail Patients ◽  
Breast And Gynecologic Cancer ◽  
Gynecologic Patients

239 Background: Cancer patients vary considerably in health status making it challenging to evaluate the risk of complications from cancer treatment. To aid oncologists in identifying patients with highest risk for adverse outcomes, we investigated the Risk Assessment Index (RAI), a validated tool used to assess frailty in patients prior to elective surgery. We assessed whether the RAI could serve to predict mortality, hospital utilization, and quality of life in cancer patients. Methods: Participants were breast and gynecological cancer patients treated at UPMC Magee Women’s Cancer Center who completed the RAI between July 2016 and December 2017. Patients completed patient reported outcomes (PROs) during each visit including the Short Form (SF)-12, Edmonton Symptom Assessment, anxiety and depression screens, and MD Anderson Symptom Inventory (MDASI) and were analyzed up to 180 days from the RAI date. Mortality was assessed at 90, 180, and 365-day intervals, and hospital utilization was assessed within 90-days of RAI. Results: There were 1,764 unique breast and gynecological cancer patients. Significant correlations between the RAI and mortality were observed for both groups with frail patients having higher rates of mortality at each interval. Frailty was associated with higher rates of hospitalization compared to non-frail patients (31% vs 20%, p = 0.05 & 50% vs 34%, p = 0.02 for breast and gynecologic patients, respectively). Frailty correlated with fair/poor ratings on the SF-12 for breast and gynecologic patients (r = 0.13, p = 0.01; r = 0.37 p < 0.001, respectively). On the Edmonton, frailty correlated with lower ratings of well-being in breast cancer patients (r = 0.11, p = 0.012) and higher symptom burden in gynecological patients (r = 0.23, p = 0.01). No correlations were observed between the RAI and anxiety or depression. For gynecologic patients, there were significant correlations between the RAI and MDASI with frail patients having higher rates of pain, fatigue, appetite, diarrhea, and memory. Conclusions: We demonstrated that the RAI is correlated with mortality, self-reported quality of life, and hospitalizations in breast and gynecologic cancer patients. Using this tool to risk-stratify patients may help to guide shared decision-making discussions and provide appropriate treatment and/or supportive services for this vulnerable population.

scholarly journals Exploring Canadian Children's Social Media Use, Digital Literacy, and Quality of Life: A Pilot Study (Preprint)

10.2196/18771 ◽  
2020 ◽  
Author(s):  
Lorie Donelle ◽  
Danica Facca ◽  
Shauna Burke ◽  
Bradley Hiebert ◽  
Emma Bender ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Social Media ◽  
Pilot Study ◽  
Digital Literacy ◽  
Media Use ◽  
Social Media Use

scholarly journals The Association of Sources of Support, Types of Support and Satisfaction with Support Received on Perceived Stress and Quality of Life of Cancer Patients

2021 ◽  
Vol 20 ◽  
pp. 153473542199490
Author(s):  
Iván Ruiz-Rodríguez ◽  
Isabel Hombrados-Mendieta ◽  
Anabel Melguizo-Garín ◽  
Mª José Martos-Méndez
Keyword(s):  
Quality Of Life ◽  
Social Support ◽  
Cancer Patients ◽  
Perceived Stress ◽  
Emotional Support ◽  
Multidimensional Analysis ◽  
Informational Support ◽  
Cancer Data ◽  
The Family

Introduction: The aim of the present study is to carry out a multidimensional analysis of the relationship of social support with quality of life and the stress perceived by cancer patients. Methods: The participants were 200 patients with cancer. Data was gathered on sociodemographic characteristics, health, quality of life, social support and perceived stress. Results: Frequency of and satisfaction with different sources and types of support are related positively with improvement of quality of life and negatively with perceived stress. The emotional support from the partner and the emotional and informational support from the family are significant predictors of quality of life. Emotional support from the family reduces patients’ perceived stress. Satisfaction with emotional support from the partner and with the informational support from friends and family increases quality of life. Satisfaction with emotional support from the family and with informational support from friends decreases patients’ perceived stress. Instrumental support and support provided by health professionals are not good predictors of quality of life and perceived stress. Satisfaction with the support received is more significantly related with quality of life and stress than the frequency with which the sources provide support. Conclusions: These results have important practical implications to improve cancer patients’ quality of life and reduce their perceived stress through social support. Designing intervention strategies to improve satisfaction with the support provided to patients by their closest networks results in a global benefit for the patient’s quality of life.

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