scholarly journals Internet Access, Social Risk Factors, and Web-Based Social Support Seeking Behavior: Assessing Correlates of the “Digital Divide” Across Neighborhoods in The State of Maryland

2021 ◽  
Vol 45 (11) ◽  
Author(s):  
Elham Hatef ◽  
Xiaomeng Ma ◽  
Yahya Shaikh ◽  
Hadi Kharrazi ◽  
Jonathan P. Weiner ◽  
...  
1992 ◽  
Vol 35 (4) ◽  
pp. 253-264 ◽  
Author(s):  
Julie Pellman

This study examined the degree to which widows were integrated in their community, the daily hassles and stress they may have experienced, and their social networks and support-seeking behavior. A sample of 160 women, sixty years of age or older, eighty widows and eighty non-widows were interviewed. Half the sample participated in senior centers in Kansas City, Missouri, while the other half belonged to other organizations or were obtained through a truncated snowball technique. The findings indicated that widowhood in and of itself does not appear to be a predictor either of community integration or the lack of it or the experience of stress and hassles. Those who experienced hassles were not the same persons as those who experienced stress. It was surprising to find that those who sought social support did not seem most in need of it. Age and education, along with community integration, were better predictors of the variables studied than was widowhood.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Charlie M. Wray ◽  
Marzieh Vali ◽  
Louise C. Walter ◽  
Lee Christensen ◽  
Wendy Chapman ◽  
...  

Abstract Background Previous research has found that social risk factors are associated with an increased risk of 30-day readmission. We aimed to assess the association of 5 social risk factors (living alone, lack of social support, marginal housing, substance abuse, and low income) with 30-day Heart Failure (HF) hospital readmissions within the Veterans Health Affairs (VA) and the impact of their inclusion on hospital readmission model performance. Methods We performed a retrospective cohort study using chart review and VA and Centers for Medicare and Medicaid Services (CMS) administrative data from a random sample of 1,500 elderly (≥ 65 years) Veterans hospitalized for HF in 2012. Using logistic regression, we examined whether any of the social risk factors were associated with 30-day readmission after adjusting for age alone and clinical variables used by CMS in its 30-day risk stratified readmission model. The impact of these five social risk factors on readmission model performance was assessed by comparing c-statistics, likelihood ratio tests, and the Hosmer-Lemeshow goodness-of-fit statistic. Results The prevalence varied among the 5 risk factors; low income (47 % vs. 47 %), lives alone (18 % vs. 19 %), substance abuse (14 % vs. 16 %), lacks social support (2 % vs. <1 %), and marginal housing (< 1 % vs. 3 %) among readmitted and non-readmitted patients, respectively. Controlling for clinical factors contained in CMS readmission models, a lack of social support was found to be associated with an increased risk of 30-day readmission (OR 4.8, 95 %CI 1.35–17.88), while marginal housing was noted to decrease readmission risk (OR 0.21, 95 %CI 0.03–0.87). Living alone (OR: 0.9, 95 %CI 0.64–1.26), substance abuse (OR 0.91, 95 %CI 0.67–1.22), and having low income (OR 1.01, 95 %CI 0.77–1.31) had no association with HF readmissions. Adding the five social risk factors to a CMS-based model (age and comorbid conditions; c-statistic 0.62) did not improve model performance (c-statistic: 0.62). Conclusions While a lack of social support was associated with 30-day readmission in the VA, its prevalence was low. Moreover, the inclusion of some social risk factors did not improve readmission model performance. In an integrated healthcare system like the VA, social risk factors may have a limited effect on 30-day readmission outcomes.


Author(s):  
John F. Steiner ◽  
Glenn K. Goodrich ◽  
Kelly R. Moore ◽  
Spero M. Manson ◽  
Laura M. Gottlieb ◽  
...  

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