scholarly journals Disseminating a Smoke-free Homes Program to Low Socioeconomic Status Households in the United States Through 2-1-1: Results of a National Impact Evaluation

2018 ◽  
Vol 22 (4) ◽  
pp. 498-505 ◽  
Author(s):  
Łucja T Bundy ◽  
Regine Haardörfer ◽  
Michelle C Kegler ◽  
Shadé Owolabi ◽  
Carla J Berg ◽  
...  

Abstract Introduction Given homes are now a primary source of secondhand smoke (SHS) exposure in the United States, research-tested interventions that promote smoke-free homes should be evaluated in real-world settings to build the evidence base for dissemination. This study describes outcome evaluation results from a dissemination and implementation study of a research-tested program to increase smoke-free home rules through US 2-1-1 helplines. Methods Five 2-1-1 organizations, chosen through a competitive application process, were awarded grants of up to $70 000. 2-1-1 staff recruited participants, delivered the intervention, and evaluated the program. 2-1-1 clients who were recruited into the program allowed smoking in the home, lived in households with both a smoker and a nonsmoker or child, spoke English, and were at least 18 years old. Self-reported outcomes were assessed using a pre-post design, with follow-up at 2 months post baseline. Results A total of 2345 households (335–605 per 2-1-1 center) were enrolled by 2-1-1 staff. Most participants were female (82%) and smokers (76%), and half were African American (54%). Overall, 40.1% (n = 940) reported creating a full household smoking ban. Among the nonsmoking adults reached at follow-up (n = 389), days of SHS exposure in the past week decreased from 4.9 (SD = 2.52) to 1.2 (SD = 2.20). Among the 1148 smokers reached for follow-up, 211 people quit, an absolute reduction in smoking of 18.4% (p < .0001), with no differences by gender. Conclusions Among those reached for 2-month follow-up, the proportion who reported establishing a smoke-free home was comparable to or higher than smoke-free home rates in the prior controlled research studies. Implications Dissemination of this brief research-tested intervention via a national grants program with support from university staff to five 2-1-1 centers increased home smoking bans, decreased SHS exposure, and increased cessation rates. Although the program delivery capacity demonstrated by these competitively selected 2-1-1s may not generalize to the broader 2-1-1 network in the United States, or social service agencies outside of the United States, partnering with 2-1-1s may be a promising avenue for large-scale dissemination of this smoke-free homes program and other public health programs to low socioeconomic status populations in the United States.

2015 ◽  
Vol 44 (suppl_1) ◽  
pp. i125-i126
Author(s):  
P. Vart ◽  
R. T. Gansevoort ◽  
D. C. Crews ◽  
S. A. Reijneveld ◽  
U. Bültmann

2020 ◽  
Author(s):  
Markus Jokela ◽  
Thomas E Fuller-Rowell

Individuals with low socioeconomic status have a higher risk of experiencing daily discrimination, that is, receiving unfair and disrespectful treatment from others. Social trends in economic inequality suggest that the life circumstances of individuals with low socioeconomic status have not improved with the same rate as those with high socioeconomic status. We examined whether the prevalence of class discrimination in the United States has changed in the last two decades. Data were from the original Midlife in the United States (MIDUS) study with data collections in 1995-1996 (n=2,931) and 2004-2005 (n=1,708), and the new MIDUS Refresher sample from 2011-2014 (n=2,543). Socioeconomic status was assessed with education, occupational status, income, and self-reported financial situation. Daily discrimination experiences were assessed with the Everyday Discrimination Scale. Socioeconomic status became more strongly associated with discrimination experiences over time: at the 1995-1996 baseline assessment, the difference in daily discrimination between the highest and lowest SES groups was 15.3% vs. 10.8% (4.7 percentage point difference). This difference increased to 20.0% vs. 7.4% difference in 2011-2014 (12.6 percentage point difference). Perceived discrimination was associated with psychological distress similarly over time and across levels of socioeconomic status. The results suggest that people with low socioeconomic status have a higher risk of encountering unfair and disrespectful treatment from others in the 2010s compared to the 1990s.


2015 ◽  
Vol 181 (6) ◽  
pp. 385-396 ◽  
Author(s):  
P. Vart ◽  
R. T. Gansevoort ◽  
D. C. Crews ◽  
S. A. Reijneveld ◽  
U. Bultmann

2021 ◽  
pp. 238008442110356
Author(s):  
D.J. Gaskin ◽  
H. Zare ◽  
R. McCleary ◽  
O. Kanwar ◽  
A.L. Davis

Objective: To identify predictors of unmet dental needs for adults 18 y of age or older in the United States. Method: Using the Aday and Andersen framework and data from the 2018 Behavioral Risk Factor Surveillance System (BRFSS), we ran logistic regression to estimate predictors for adults of not having a dental visit within 5 y and having lost any teeth using a national sample of 155,060 survey respondents. Results: Results showed that predisposing factors (age, race/ethnicity, gender, and educational attainment) and enabling factors (income and health insurance status) are important predictors for losing teeth due to decay or gum disease. Men, the elderly, and less educated and low-income residents were less likely to have seen a dentist within the past 5 y and more likely to have lost their permanent teeth. Compared to non-Hispanic White adults, Hispanics adults were more likely to have had a dental visit within the past 5 y. Unmet dental needs varied across states. People living in states with extensive Medicaid dental care benefit coverage were less likely to lose their teeth and more likely to have had a dental visit within the past 5 y. Conclusion: Efforts to improve oral health should address unmet dental needs of men and adults with low socioeconomic status. Studying the variation between state oral health care programs could further our understanding of how public policy can improve population oral health. Knowledge Transfer Statement: Men, non-Hispanic Blacks, mixed and other race minorities, and low socioeconomic status adults are most at risk of unmet dental needs. States can address these needs by expanding Medicaid coverage for adults.


2020 ◽  
Vol 5 (4) ◽  
pp. 2473011420S0020
Author(s):  
Alessandra L. Falk ◽  
Regina Hanstein ◽  
Chaiyaporn Kulsakdinun

Category: Ankle; Trauma Introduction/Purpose: Socioeconomic status has been recognized throughout the medical literature, both within orthopedics and beyond, as a factor that influences outcomes after surgery, and can result in substandard care. Within the foot and ankle subspecialty, there is limited data regarding socioeconomic status and post-operative outcomes, with the current literature focusing on outcomes for diabetic feet. However, ankle fractures are among the most common fractures encountered by orthopedic surgeons. While a few studies have explored the impact of ankle fractures on employment and disability status, the effect of socioeconomic status on return to work post operatively has not yet been investigated. The purpose of this study was to determine the impact of low socioeconomic status on return to work. Methods: We retrospectively reviewed 592 medical charts of patients with CPT code 27766, 27792, 27814, 27822, 27823, 27827, 27829, 27826, 27828 from 2015-2018. Included were patients >18 yrs of age who sustained an acute ankle fracture, were employed prior to the injury, and with information on return to work after ankle surgery, zip code, race, ethnicity and insurance status. Excluded were patients who were not employed prior to their injury. Socioeconomic status was either defined by insurance status - Medicaid/Medicare, commercial, or workman’s compensation -, or by assessing socioeconomic status (SES) using medial household per capita income by zip code as generated and reported by the US National Census Bureau’s 2013-2017 American Community Survey 5-Year Estimates. The national dataset was divided into quartiles with the lowest quartile defined as low SES. Patients who had income that fell within this income category were classified as low SES. Results: 174 patients were included with an average follow-up of 10.2months. 22/174 (12.6%) patients didn’t return to work post-operatively. Univariate analysis identified non-sedentary work to decrease the likelihood of return to work (HR:0.637; p=0.03). Patients with a low SES were more prevalent in the no return group compared to the return to work group (86% vs 60%; p=0.028). 95% of patients with low SES were a minority compared to 56% with average/high SES (p<0.005). Patients with low SES had a higher BMI (p=0.026), a longer hospitalization (p=0.04) and more wound complications (p=0.032). Insurance type didn’t affect return to work (p=0.158). Patients with workman’s compensation had a longer follow-up time and a longer time to return to work compared to other insurances (p<0.005 for each comparison). Conclusion: Low socioeconomic status based on income, not insurance type, affected return to work after an ankle fracture ORIF. Patients with workman’s compensation took a longer time to return to work compared to other insurance types. These findings warrants the need to consider socioeconomic status when allocating resources to treat these patients.


2019 ◽  
Vol 37 (15_suppl) ◽  
pp. e18173-e18173
Author(s):  
Richard Stephen Sheppard ◽  
Adewumi Adekunle ◽  
Stefani Beale ◽  
Meena Ahluwalia

e18173 Background: Follicular Lymphoma (FL) is a the second most common Non Hodgkin's Lymphoma (NHL) diagnosed in the United States with 2.6 per 100,000 men and women per year from 2011 to 2015 when age adjusted as per the National Cancer Institute with the number of deaths of 0.5 per 100,000 men and women per year. It known that FL is one of the most clinically indolent NHL and due to this, survival rates are generally more favorable when compared to other B Cell Lymphomas. With this study, we aim to analyse socioeconomic and racial disparities in the survival rates for FL. Methods: The authors identified patients diagnosed with FL between 1973 and 2015 using the Surveillance, Epidemiology, and End Results (SEER) database. Overall survival was estimated and compared between racial/ethnic groups using the log-rank test. Our outcome variables were 1-year, 5-year and mortality. Our independent variables were race and socioeconomic status. We controlled for age, demographic characteristics, time of diagnosis, pathological classification, treatment and socioeconomic status. Results: A total of 66 127 patients were identified; 90% of the patients were White, 4% Black, and 4% Asian. We noted significant differences in disease presentation, socioeconomic status, and outcomes. Asian/Pacific Islander had the lowest survival with a mean of 228 survival months, Blacks had a mean survival months of 237, and Whites had a mean survival months of 234. Conclusions: Disparities exist in the care and outcomes of FL. A low socioeconomic status is correlated with decreased survival.


2015 ◽  
Vol 12 (1) ◽  
pp. 119-136 ◽  
Author(s):  
Nicholas Vargas

AbstractSome scholars argue that Latina/os in the United States may soon become White, much like the supposed Whitening of Eastern European immigrant groups in the early twentieth century. High rates of White racial identification on surveys among Latina/os is one explanation provided for this assertion. However, personal identification is but one element of racial boundary maintenance. It is when personal identification is externally validated that it is most closely associated with group-based experiences. This article maps components of the White-Latino racial boundary that may be permeable to White expansion by examining conditions under which Latina/os self-identify as Whiteandreport that they are externally classified as White by other Americans. Employing novel data from the 2006 Portraits of American Life Study, this article shows that nearly 40% of Latina/os sometimes self-identify as White, yet a much smaller proportion—only 6%—report being externally classified as White by others. Moreover, logistic regression analyses suggest that for those with light phenotypical features and high levels of socioeconomic status, the odds of reported external Whitening are increased. Interestingly, phenotypically light Latina/os with low-socioeconomic-status levels have low probabilities of reporting external classification as White when compared to their phenotypically light and high-socioeconomic-status counterparts, suggesting that the combination of both skin color and class may be central to the White-Latino racial boundary. Results also indicate that many who report external Whitening do not prefer to self-identify as White. In sum, multidimensional measures of racial classification indicate that only a very small minority of Latina/os may be “becoming White” in ways that some previous researchers have predicted.


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