Community and Case Management Interventions to Address Social Determinants of Health in Infectious Disease

2021 ◽  
Vol 26 (1) ◽  
pp. 4-10
Author(s):  
Kathleen Moreo
2019 ◽  
Author(s):  
Yunning Liu ◽  
Thomas Astell-Burt ◽  
Xiaoqi Feng ◽  
Fan Mao ◽  
Ruiming Liang ◽  
...  

Abstract Background: The aim of this study was to enhance capability in research on social determinants of health in China by linking and analyzing routinely-collected death records over 5 years with national population health surveillance.Methods: Linkage of 98 058 participants in the 2010 China Chronic Disease and Risk Factor Surveillance (CCDRFS) to records in the national death surveillance data from 2011 to 2015 was conducted through a matching program involving identification numbers, name, gender and residential address, followed by a structured checking process. Multilevel regressions were used to investigate five-year odds of all-cause, non-communicable disease (NCD), infectious disease and injury mortality in relation to person- and county-level factors.Results: A total of 3,365 deaths were observed in the linked mortality and population health surveillance. Cross-checks and comparisons with national mortality distributions provided assurance that the linkage was reasonable. Geographic variation in mortality was observed via age and gender adjusted median odds ratios for all-cause mortality (>1.30), infectious disease (>2.01), NCD (>1.24) and injury (>1.12). Increased odds of all-cause and all three cause-specific mortality outcomes were higher with age and among men. Low educational attainment was a predictor of all-cause, NCD and injury mortality. Longer mean years of education at the county-level was only associated with lower injury mortality. Divorcees had a higher odd of all-cause and NCD mortality than singletons. Rurality was a predictor of all-cause and NCD mortality.Conclusion: The results of this study provide utility for future investigations of social determinants of health and mortality using linked data in China.


BMJ Open ◽  
2021 ◽  
Vol 11 (7) ◽  
pp. e048995
Author(s):  
Ava John-Baptiste ◽  
Marc S Moulin ◽  
Shehzad Ali

IntroductionInfectious disease models are important tools to inform public health policy decisions. These models are primarily based on an average population approach and often ignore the role of social determinants in predicting the course of a pandemic and the impact of policy interventions. Ignoring social determinants in models may cause or exacerbate inequalities. This limitation has not been previously explored in the context of the current pandemic, where COVID-19 has been found to disproportionately affect marginalised racial, ethnic and socioeconomic groups. Therefore, our primary goal is to identify the extent to which COVID-19 models incorporate the social determinants of health in predicting outcomes of the pandemic.Methods and analysisWe will search MEDLINE, EMBASE, Cochrane Library and Web of Science databases from December 2019 to August 2020. We will assess all infectious disease modelling studies for inclusion of social factors that meet the following criteria: (a) focused on human spread of SARS-CoV-2; (b) modelling studies; (c) interventional or non-interventional studies; and (d) focused on one of the following outcomes: COVID-19-related outcomes (eg, cases, deaths), non-COVID-19-related outcomes (ie, impacts of the pandemic or control policies on other health conditions or health services), or impact of the pandemic or control policies on economic outcomes. Data will only be extracted from models incorporating social factors. We will report the percentage of models that considered social factors, indicate which social factors were considered, and describe how social factors were incorporated into the conceptualisation and implementation of the infectious disease models. The extracted data will also be used to create a narrative synthesis of the results.Ethics and disseminationEthics approval is not required as only secondary data will be collected. The results of this systematic review will be disseminated through peer-reviewed publication and conference proceedings.PROSPERO registration numberCRD42020207706.


2019 ◽  
Vol 101 (4) ◽  
pp. 357-395 ◽  
Author(s):  
Saty Satya-Murti ◽  
Jennifer Gutierrez

The Los Angeles Plaza Community Center (PCC), an early twentieth-century Los Angeles community center and clinic, published El Mexicano, a quarterly newsletter, from 1913 to 1925. The newsletter’s reports reveal how the PCC combined walk-in medical visits with broader efforts to address the overall wellness of its attendees. Available records, some with occasional clinical details, reveal the general spectrum of illnesses treated over a twelve-year span. Placed in today’s context, the medical care given at this center was simple and minimal. The social support it provided, however, was multifaceted. The center’s caring extended beyond providing medical attention to helping with education, nutrition, employment, transportation, and moral support. Thus, the social determinants of health (SDH), a prominent concern of present-day public health, was a concept already realized and practiced by these early twentieth-century Los Angeles Plaza community leaders. Such practices, although not yet nominally identified as SDH, had their beginnings in the late nineteenth- and early twentieth-century social activism movement aiming to mitigate the social ills and inequities of emerging industrial nations. The PCC was one of the pioneers in this effort. Its concerns and successes in this area were sophisticated enough to be comparable to our current intentions and aspirations.


Diabetes ◽  
2020 ◽  
Vol 69 (Supplement 1) ◽  
pp. 648-P
Author(s):  
DOROTA CARPENEDO ◽  
SONJA TYSK ◽  
MELISSA HOUSE ◽  
JESSIE FERNANDES ◽  
MARCI K. BUTCHER ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document