scholarly journals Association of Neighborhood Deprivation Index With Success in Cancer Care Crowdfunding

2020 ◽  
Vol 3 (12) ◽  
pp. e2026946 ◽  
Author(s):  
Elisabeth R. Silver ◽  
Han Q. Truong ◽  
Sassan Ostvar ◽  
Chin Hur ◽  
Nicholas P. Tatonetti
Diabetes ◽  
2019 ◽  
Vol 68 (Supplement 1) ◽  
pp. 1673-P
Author(s):  
ASHBY F. WALKER ◽  
HUI HU ◽  
NICOLAS CUTTRISS ◽  
MICHAEL J. HALLER ◽  
C. JASON WANG ◽  
...  

PLoS ONE ◽  
2020 ◽  
Vol 15 (12) ◽  
pp. e0243028
Author(s):  
Madhav K. C. ◽  
Evrim Oral ◽  
Susanne Straif-Bourgeois ◽  
Ariane L. Rung ◽  
Edward S. Peters

Background Louisiana in the summer of 2020 had the highest per capita case count for COVID-19 in the United States and COVID-19 deaths disproportionately affects the African American population. Neighborhood deprivation has been observed to be associated with poorer health outcomes. The purpose of this study was to examine the relationship between neighborhood deprivation and COVID-19 in Louisiana. Methods The Area Deprivation Index (ADI) was calculated and used to classify neighborhood deprivation at the census tract level. A total of 17 US census variables were used to calculate the ADI for each of the 1148 census tracts in Louisiana. The data were extracted from the American Community Survey (ACS) 2018. The neighborhoods were categorized into quintiles as well as low and high deprivation. The publicly available COVID-19 cumulative case counts by census tract were obtained from the Louisiana Department of Health website on July 31, 2020. Descriptive and Poisson regression analyses were performed. Results Neighborhoods in Louisiana were substantially different with respect to deprivation. The ADI ranged from 136.00 for the most deprived neighborhood and –33.87 in the least deprived neighborhood. We observed that individuals residing in the most deprived neighborhoods had almost a 40% higher risk of COVID-19 compared to those residing in the least deprived neighborhoods. Conclusion While the majority of previous studies were focused on very limited socio-environmental factors such as crowding and income, this study used a composite area-based deprivation index to examine the role of neighborhood environment on COVID-19. We observed a positive relationship between neighborhood deprivation and COVID-19 risk in Louisiana. The study findings can be utilized to promote public health preventions measures besides social distancing, wearing a mask while in public and frequent handwashing in vulnerable neighborhoods with greater deprivation.


2020 ◽  
Vol 16 (1) ◽  
pp. 101-112 ◽  
Author(s):  
Marcus R. Andrews ◽  
Kosuke Tamura ◽  
Sophie E. Claudel ◽  
Samantha Xu ◽  
Joniqua N. Ceasar ◽  
...  

2020 ◽  
Vol 105 (9) ◽  
pp. 3069-3075
Author(s):  
Ashby F Walker ◽  
Hui Hu ◽  
Nicolas Cuttriss ◽  
Claudia Anez-Zabala ◽  
Katarina Yabut ◽  
...  

Abstract Purpose In designing a Project ECHO™ type 1 diabetes (T1D) program in Florida and California, the Neighborhood Deprivation Index (NDI) was used in conjunction with geocoding of primary care providers (PCPs) and endocrinologists in each state to concurrently identify areas with low endocrinology provider density and high health risk/poverty areas. The NDI measures many aspects of poverty proven to be critical indicators of health outcomes. Methods The data from the 2013-2017 American Community Survey (ACS) 5-year estimates were used to create NDI maps for California and Florida. In addition, geocoding and 30-minute drive-time buffers were performed using publicly available provider directories for PCPs and endocrinologists in both states by Google Geocoding API and the TravelTime Search Application Programming Interface (API). Results Based on these findings, we defined high-need catchment areas as areas with (1) more than a 30-minute drive to the nearest endocrinologist but within a 30-minute drive to the nearest PCP; (2) an NDI in the highest quartile; and (3) a population above the median (5199 for census tracts, and 1394 for census block groups). Out of the 12 181 census tracts and 34 490 census block groups in California and Florida, we identified 57 tracts and 215 block groups meeting these criteria as high-need catchment areas. Conclusion Geospatial analysis provides an important initial methodologic step to effectively focus outreach efforts in diabetes program development. The integration of the NDI with geocoded provider directories enables more cost-effective and targeted interventions to reach the most vulnerable populations living with T1D.


2019 ◽  
Vol 37 (27_suppl) ◽  
pp. 158-158
Author(s):  
Laura Elizabeth Panattoni ◽  
Catherine R. Fedorenko ◽  
Qin Sun ◽  
Li Li ◽  
Karma L. Kreizenbeck ◽  
...  

158 Background: Evidence that rural residents compared to urban residents are more likely to be diagnosed at later stages and have worse survival outcomes has prompted recent policy initiatives by ASCO to address the rural cancer care gap. However, rural residents are generally poorer, potentially confounding the cause of these disparities. This study examined the impact of rurality, travel time to oncologist (TTO), and neighborhood deprivation (ND) on stage of diagnosis and 3-year survival in a regional setting. Methods: Cancer registry records for patients in Western Washington were linked with claims from regional commercial insurers, Medicare, and Medicaid at time of diagnosis. The study included adult patients with solid tumors diagnosed between 2012-2014. Rurality was sourced from the Rural-Urban Commuting Area Codes (RUCAs): Metro, Metro with Commute, Micropolitan, Small Town/Rural. ND was measured by the census block Area Deprivation Index from 1 (least) to 10 (most) deprived; TTO from Google Maps (minutes). Multinomial logistic regression measured stage at diagnosis (local, regional, distant). Cox survival models were stratified by insurance type. We adjusted all models for age, gender, race, marital status, cancer type and grade, and hierarchical condition categories. Results: The table below lists the effect size of rurality, TTO, and ND on the outcomes where significant (p<0.05). Conclusions: In Washington State, neighborhood deprivation, not rurality, was largely associated with later stage at diagnosis and poorer survival. Regional stakeholders need to carefully examine the local sources of cancer care disparities to effectively target interventions.[Table: see text]


2006 ◽  
Vol 83 (6) ◽  
pp. 1041-1062 ◽  
Author(s):  
Lynne C. Messer ◽  
Barbara A. Laraia ◽  
Jay S. Kaufman ◽  
Janet Eyster ◽  
Claudia Holzman ◽  
...  

2020 ◽  
Author(s):  
Madhav KC ◽  
Evrim Oral ◽  
Susanne Straif-Bourgeois ◽  
Ariane L Rung ◽  
Edward S Peters

Purpose: Louisiana currently has the highest per capita case count for COVID-19 in the United States and disproportionately affects the Black or African American population. Neighborhood deprivation has been observed to be associated with poorer health outcomes. The purpose of this study was to examine the relationship between neighborhood deprivation and COVID-19 in Louisiana. Methods: The Area Deprivation Index (ADI) was calculated and used to classify neighborhood deprivation at the census tract level. A total of 17 US census variables were used to calculate the ADI for each of the 1148 census tracts in Louisiana. The data were extracted from the American Community Survey (ACS) 2018. The neighborhoods were categorized into quintiles as well as low and high deprivation. The publicly available COVID-19 cumulative case counts by census tract was obtained from the Louisiana Department of Health website on July 31, 2020. Descriptive and Poisson regression analyses were performed. Results: Neighborhoods in Louisiana were substantially different with respect to deprivation. The ADI ranged from 136.00 for the most deprived neighborhood and -33.87 in the least deprived neighborhood. We observed that individuals residing in the most deprived neighborhoods had a 45% higher risk of COVID-19 disease compared to those residing in the least deprived neighborhoods. Conclusion: While the majority of previous studies were focused on very limited socio-environmental factors such as crowding and income, this study used a composite area-based deprivation index to examine the role of neighborhood environment on COVID-19. We observed a positive relationship between neighborhood deprivation and COVID-19 risk in Louisiana. The study findings can be utilized to promote public health preventions measures besides social distancing, wearing a mask while in public and frequent handwashing in vulnerable neighborhoods with greater deprivation.


2020 ◽  
Vol 13 (12) ◽  
Author(s):  
Shivani A. Patel ◽  
Maya Krasnow ◽  
Kaitlyn Long ◽  
Theresa Shirey ◽  
Neal Dickert ◽  
...  

Background: Longstanding racial disparities in heart failure (HF) outcomes exist in the United States, in part, due to social determinants of health. We examined whether neighborhood environment modifies the disparity in 30-day HF readmissions and mortality between Black and White patients in the Southeastern United States. Methods: We created a geocoded retrospective cohort of patients hospitalized for acute HF within Emory Healthcare from 2010 to 2018. Quartiles of the Social Deprivation Index characterized neighborhood deprivation at the census tract level. We estimated the relative risk of 30-day readmission and 30-day mortality following an index hospitalization for acute HF. Excess readmissions and mortality were estimated as the absolute risk difference between Black and White patients within each Social Deprivation Index quartile, adjusted for geographic clustering, demographic, clinical, and hospital characteristics. Results: The cohort included 30 630 patients, mean age 66 years, 48% female, 53% Black. Compared with White patients, Black patients were more likely to reside in deprived census tracts and have higher comorbidity scores. From 2010 to 2018, 29.4% of Black and 23.0% of White patients experienced either a 30-day HF readmission or 30-day death ( P <0.001). Excess in composite 30-day HF readmissions and mortality for Black patients ranged from 3.9% (95% CI, 1.5%–6.3%; P =0.0002) to 6.8% (95% CI, 4.1%–9.5%; P <0.0001) across Social Deprivation Index quartiles. Accounting for traditional risk factors did not eliminate the Black excess in combined 30-day HF readmissions or mortality in any of the neighborhood quartiles. Conclusions: Excess 30-day HF readmissions and mortality are present among Black patients in every neighborhood strata and increase with progressive neighborhood socioeconomic deprivation.


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