scholarly journals Socioeconomic deprivation and the clinical management of self-harm: a small area analysis

2017 ◽  
Vol 52 (12) ◽  
pp. 1475-1481 ◽  
Author(s):  
Robert Carroll ◽  
Duleeka Knipe ◽  
Paul Moran ◽  
David Gunnell
2021 ◽  
Vol 26 (17) ◽  
Author(s):  
Sven Rohleder ◽  
Christian Stock ◽  
Kayvan Bozorgmehr

Background Although measles is endemic throughout the World Health Organization European Region, few studies have analysed socioeconomic inequalities and spatiotemporal variations in the disease’s incidence. Aim To study the association between socioeconomic deprivation and measles incidence in Germany, while considering relevant demographic, spatial and temporal factors. Methods We conducted a longitudinal small-area analysis using nationally representative linked data in 401 districts (2001–2017). We used spatiotemporal Bayesian regression models to assess the potential effect of area deprivation on measles incidence, adjusted for demographic and geographical factors, as well as spatial and temporal effects. We estimated risk ratios (RR) for deprivation quintiles (Q1–Q5), and district-specific adjusted relative risks (ARR) to assess the area-level risk profile of measles in Germany. Results The risk of measles incidence in areas with lowest deprivation quintile (Q1) was 1.58 times higher (95% credible interval (CrI): 1.32–2.00) than in those with highest deprivation (Q5). Areas with medium-low (Q2), medium (Q3) and medium-high deprivation (Q4) had higher adjusted risks of measles relative to areas with highest deprivation (Q5) (RR: 1.23, 95%CrI: 0.99–1.51; 1.05, 95%CrI: 0.87–1.26 and 1.23, 95%CrI: 1.05–1.43, respectively). We identified 54 districts at medium-high risk for measles (ARR > 2) in Germany, of which 22 were at high risk (ARR > 3). Conclusion Socioeconomic deprivation in Germany, one of Europe’s most populated countries, is inversely associated with measles incidence. This association persists after demographic and spatiotemporal factors are considered. The social, spatial and temporal patterns of elevated risk require targeted public health action and policy to address the complexity underlying measles epidemiology.


Medical Care ◽  
1992 ◽  
Vol 30 (6) ◽  
pp. 484-502 ◽  
Author(s):  
Paula Diehr ◽  
Kevin C. Cain ◽  
William Kreuter ◽  
Susan Rosenkranz

1998 ◽  
Vol 30 (4) ◽  
pp. 173 ◽  
Author(s):  
Jeffrey B. Gould ◽  
Beate Herrchen ◽  
Tanya Pham ◽  
Stephan Bera ◽  
Claire Brindis

2013 ◽  
Vol 47 (5) ◽  
pp. 722-739 ◽  
Author(s):  
Yogi Vidyattama ◽  
Rebecca Cassells ◽  
Ann Harding ◽  
Justine Mcnamara

BMJ ◽  
1994 ◽  
Vol 309 (6961) ◽  
pp. 1046-1049 ◽  
Author(s):  
R A Carr-Hill ◽  
T A Sheldon ◽  
P Smith ◽  
S Martin ◽  
S Peacock ◽  
...  

PLoS ONE ◽  
2013 ◽  
Vol 8 (8) ◽  
pp. e70434 ◽  
Author(s):  
Nav Kapur ◽  
Sarah Steeg ◽  
Roger Webb ◽  
Matthew Haigh ◽  
Helen Bergen ◽  
...  

1997 ◽  
Vol 17 (1) ◽  
pp. 5-23
Author(s):  
Rita Hindin ◽  
David R. Buchanan ◽  
Kwadwo Bosompra ◽  
Frank Robinson

This article describes the use of Small Area Analysis (SAA) techniques in public health education planning and evaluation efforts. An array of health and social indicators for a mid-size metropolitan city (150,000+) were collected as part of the evaluation of a Center for Substance Abuse Prevention (CSAP) community partnership grant for alcohol and other drug prevention. Data sources included the state public health department, school system, hospitals, census bureau, police department, and the city administration. Germane health and social indicators were then calculated for each of the city's socio-historical neighborhoods or zip code area. The process of gaining access to these diverse data and how they were used for planning and evaluation purposes are detailed and typical problems encountered in utilizing SAA techniques are enumerated. Finally, the potential for SAA as a community organizing tool for galvanizing community responses is discussed.


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