Background: Social determinants of health (SDoH) have been associated with disparate outcomes among those with metabolic dysfunction-associated steatotic liver disease (MASLD) and its risk factors. To address SDoH among this population, real-time SDoH screening in clinical settings is required, yet optimal screening methods are unclear. We performed a scoping review to describe the current literature on SDoH screening conducted in the clinical setting among individuals with MASLD and MASLD risk factors.
Methods: Through a systematic literature search of MEDLINE, Embase, and CINAHL Complete databases through 7/2023, we identified studies with clinic-based SDoH screening among individuals with or at risk for MASLD that reported pertinent clinical outcomes including change in MASLD risk factors like diabetes and hypertension.
Results: Ten studies (8 manuscripts, 2 abstracts) met inclusion criteria involving 148,151 patients: 89,408 with diabetes and 25,539 with hypertension. Screening was primarily completed in primary care clinics, and a variety of screening tools were used. The most commonly collected SDoH were financial stability, healthcare access, food insecurity and transportation. Associations between clinical outcomes and SDoH varied; overall, higher SDoH burden was associated with poorer outcomes including elevated blood pressure and hemoglobin A1c.
Conclusion: Despite numerous epidemiologic studies showing associations between clinical outcomes and SDoH, and guidelines recommending SDoH screening, few studies describe in-clinic SDoH screening among individuals with MASLD risk factors and none among patients with MASLD. Future research should prioritize real-time, comprehensive assessments of SDoH, particularly among patients at risk for and with MASLD, to mitigate disease progression and reduce MASLD health disparities.
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http://dx.doi.org/10.3389/fpubh.2024.1332870 | DOI Listing |
JAMA Netw Open
January 2025
Department of Medicine, Duke University, Durham, North Carolina.
Importance: Health systems are increasingly required to conduct health-related social needs screening. However, how social resources negatively and positively affect recovery from acute illnesses, such as COVID-19, is incompletely understood.
Objective: To examine how social determinants of health (SDOH) influence recovery from COVID-19.
J Trauma Acute Care Surg
January 2025
From the Department of Surgery (A.H.H., N.M.C., B.T.S.), Division of Trauma, Burn, and Critical Care Surgery, Department of Surgery (E.B., D.N., B.T.S., A.M., E.M.B., J.W.S.), and Department of Health Metrics Sciences (J.L.D., J.W.S.), Institute for Health Metrics and Evaluation, University of Washington; Psychiatry and Behavioral Sciences (D.Z.), University of Washington School of Medicine, Seattle, Washington.
Background: Despite advances in trauma care, the effects of social determinants of health continue to be a barrier to optimal health outcomes. Health-related social needs (HRSNs), now the basis of a Centers for Medicare and Medicaid Services national screening program, may contribute to poor health outcomes, inequities, and low-value care, but the impact of HRSNs among injured patients remains poorly understood at the national level.
Methods: Using data from the nationally representative 2021 Medical Expenditure Panel Survey, injured patients were matched with uninjured controls via coarsened exact matching on age and sex.
Iran J Public Health
December 2024
Department of Medical Library and Information Science, School of Health Management and Information Sciences, Iran University of Medical Sciences, Tehran, Iran.
Background: We aimed to identify and classify barriers and facilitators of implementation of research finding in healthcare.
Methods: A scoping review was conducted using Preferred Reporting Items for Systematic Reviews and Meta-analyses Extension for Scoping Reviews (PRISMA-ScR). Articles were extracted from online databases.
Purpose Of Review: This review aims to evaluate the impact of artificial intelligence (AI) on cancer health equity, specifically investigating whether AI is addressing or widening disparities in cancer outcomes.
Recent Findings: Recent studies demonstrate significant advancements in AI, such as deep learning for cancer diagnosis and predictive analytics for personalized treatment, showing potential for improved precision in care. However, concerns persist about the performance of AI tools across diverse populations due to biased training data.
Cardiol Ther
January 2025
Advocate Aurora Research Institute, Advocate Health, 945 N 12th St, Milwaukee, WI, 53233, USA.
Introduction: Oral anticoagulants (OAC) reduce the risk of stroke among patients with atrial fibrillation (AF). However, adherence remains suboptimal. We focused on primary nonadherence to OAC and its associations with patient characteristics-specifically social determinants of health collected in electronic health records (EHR).
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