Onset of physical abuse and neglect: Psychiatric, substance abuse, and social risk factors from prospective community data

1996 ◽  
Vol 20 (3) ◽  
pp. 191-203 ◽  
Author(s):  
Mark Chaffin ◽  
Kelly Kelleher ◽  
Jan Hollenberg
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 ◽  
...  

Innova ◽  
2021 ◽  
Vol 22 (1) ◽  
pp. 33-38
Author(s):  
Владимир Игоревич Тимошилов ◽  
◽  
Альберт Генрихович Ластовецкий

Period 2014-2019 characterized by a certain increase in social instability in Russia, which led to an increase of social risk factors for drug addiction. In the Kursk region, at the same time, there have been changes in the regulation of anti-drug prevention, a large number of specialists have been trained, and a movement of competent volunteers has developed. In this regard, the epidemiological data for 2014-2019 are of particular interest. For the period from 2005 to 2019 the primary incidence of alcohol use disorders in Russia decreased from 147.4 to 48.3, in the Kursk region – from 106 to 53.5 cases per 100 000 population per year. Of the adjacent regions in 2019, a lower incidence rate than in the Kursk region was noted only in the Belgorod region – 39.4 cases per 100,000 population. Primary incidence of disorders associated with the use of narcotic active substances, during 2014-2019 in Russia as a whole decreased from 15 to 9.8, in the Kursk region – from 11.3 to 4 new cases per 100 000 inhabitants per year. In 2019, the detection rate of primary incidence of drug addiction and substance abuse was significantly higher than in the Kursk region in Bryansk and Lipetsk. Despite favorable trends, it was noted that the coronavirus pandemic and the restrictions introduced to combat it can have a significant impact on the risk factors for drug addiction, which requires the adaptation of preventive programs to new conditions.


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