Housing instability and cardiometabolic health in the United States: a narrative review of the literature
KD Gu, KC Faulkner, AN Thorndike - BMC Public Health, 2023 - Springer
Housing instability is variably defined but generally encompasses difficulty paying rent,
living in poor or overcrowded conditions, moving frequently, or spending the majority of …
living in poor or overcrowded conditions, moving frequently, or spending the majority of …
Implementing health related social needs screening in an outpatient clinic
R Nohria, N Xiao, R Guardado… - Journal of primary …, 2022 - journals.sagepub.com
Introduction/Objectives: Health-related social needs (HRSN) screening efforts have reported
high rates of identified social needs. Little is known if efforts to conduct HRSN screening in …
high rates of identified social needs. Little is known if efforts to conduct HRSN screening in …
Evaluation of an integrated intervention to address clinical care and social needs among patients with type 2 Diabetes
SE Roth, B Gronowski, KG Jones, RA Smith… - Journal of general …, 2023 - Springer
Abstract Background The Providence Diabetes Collective Impact Initiative (DCII) was
designed to address the clinical challenges of type 2 diabetes and the social determinants of …
designed to address the clinical challenges of type 2 diabetes and the social determinants of …
Screening for social determinants of health among populations at risk for MASLD: a scoping review
RG Kim, A Ballantyne, MB Conroy, JC Price… - Frontiers in Public …, 2024 - frontiersin.org
Background Social determinants of health (SDoH) have been associated with disparate
outcomes among those with metabolic dysfunction-associated steatotic liver disease …
outcomes among those with metabolic dysfunction-associated steatotic liver disease …
Relationship between food insecurity and housing instability on quality of care and quality of life in adults with diabetes
Objective Examine the relationship between food and housing insecurities, quality of care
and quality of life in adults with diabetes using a nationally representative data source …
and quality of life in adults with diabetes using a nationally representative data source …
Impacts of the COVID-19 pandemic on unmet social needs, self-care, and outcomes among people with diabetes and poor glycemic control
Aims The purpose of this study was to examine whether pandemic exposure impacted
unmet social and diabetes needs, self-care behaviors, and diabetes outcomes in a sample …
unmet social and diabetes needs, self-care behaviors, and diabetes outcomes in a sample …
Predicting health-related social needs in Medicaid and Medicare populations using machine learning
J Holcomb, LC Oliveira, L Highfield, KO Hwang… - Scientific reports, 2022 - nature.com
Providers currently rely on universal screening to identify health-related social needs
(HRSNs). Predicting HRSNs using EHR and community-level data could be more efficient …
(HRSNs). Predicting HRSNs using EHR and community-level data could be more efficient …
Perspective: acknowledging a hierarchy of social needs in diabetes clinical care and prevention
CR Howell, CN Harada, KR Fontaine… - Diabetes, Metabolic …, 2023 - Taylor & Francis
The evidence of suboptimal social determinants of health (SDoH) on poor health outcomes
has resulted in widespread calls for research to identify ways to measure and address social …
has resulted in widespread calls for research to identify ways to measure and address social …
Social needs assessment and linkage to community health workers in a large urban hospital system
Objectives: Identifying social needs is a growing priority in primary care, but there is
significant variation in how patients access services to meet such needs. This study …
significant variation in how patients access services to meet such needs. This study …
Opportunistic detection of type 2 diabetes using deep learning from frontal chest radiographs
A Pyrros, SM Borstelmann, R Mantravadi… - Nature …, 2023 - nature.com
Deep learning (DL) models can harness electronic health records (EHRs) to predict
diseases and extract radiologic findings for diagnosis. With ambulatory chest radiographs …
diseases and extract radiologic findings for diagnosis. With ambulatory chest radiographs …