TABLE 5.
Author (Year) | Research Design | Study Population | SDoH Variables | Results |
---|---|---|---|---|
Employment | ||||
Williams (2018) | Prospective descriptive | 95 adults (US) | Employment, SBF | Employment/stable home related to low acute care encounters |
Sanger (2016) | Retrospective | 50 adults (US) | Unemployment | Low education related to more frequent VOC and unemployment |
Food Insecurity | ||||
Ghafuri (2020) | Cross-sectional | Children (US) | Food insecurity | Patients with pain/ACS were more food insecure |
Adegoke (2017) | Comparative | Children (Brazil, Nigeria) | Nutrition status, access to care | Under-nutrition was prevalent in patients with SCD |
Mandese (2016) | Observational | Children (Italy) | Nutrition Intake, impaired growth | Inadequate nutrition affected SCD severity |
Low-Income/Poverty | ||||
Bello-Manga (2020) | Cross-sectional | 941 Children (Nigeria) | SES, poverty, hospital cost | Severe anemia associated with more children in each room per house |
Kumar (2020) | Retrospective | National record of readmission (US) | Education level, Poverty | Low SES/admission at high volume centers predicted more readmissions |
Aljuburi (2013) | Retrospective | National hospital record (England) | Healthcare expenditure | Living in socio-economically deprived areas increased risk of readmission |
Glassberg (2012) | Retrospective | 985 children (US, Canada, UK, France) | Family Income | Low-income increased ED use for SCD pain |
Panepinto (2009) | Cross-sectional | 178 children (US) | SES | Low family income related to more ED readmissions and worse HRQL |
Raphael (2009) | Retrospective | Children (US) | Low income | Patients with SCD with low income have more acute care encounters |
SBF = Socio-behavioral factors, SCD = Sickle Cell Disease, ACS = Acute Chest Syndrome, SES = Socio-economic Status, HRQL = Health related quality of life, US = United States, UK = United Kingdom, ED = Emergency Department