Background: The influence of socioeconomic deprivation on health inequalities is established, but its effect on critically ill patients remains unclear, due to inconsistent definitions in previous studies.
Methods: Prospective multicenter cohort study conducted from March to June 2018 in eight ICUs in the Greater Paris area. All admitted patients aged ≥ 18 years were enrolled. Socioeconomic phenotypes were identified using hierarchical clustering, based on education, health insurance, income, and housing. Association of phenotypes with 180-day mortality was assessed using Cox proportional hazards models.
Results: A total of 1,748 patients were included. Median age was 62.9 [47.4-74.5] years, 654 (37.4%) patients were female, and median SOFA score was 3 [1-6]. Study population was clustered in five phenotypes with increasing socioeconomic deprivation. Patients from phenotype A (n = 958/1,748, 54.8%) were without socioeconomic deprivation, patients from phenotype B (n = 273/1,748, 15.6%) had only lower education levels, phenotype C patients (n = 117/1,748, 6.7%) had a cumulative burden of 1[1-2] deprivations and all had housing deprivation, phenotype D patients had 2 [1-2] deprivations, all of them with income deprivation, and phenotype E patients (n = 93/1,748, 5.3%) included patients with 3 [2-4] deprivations and included all patients with health insurance deprivation. Patients from phenotypes D and E were younger, had fewer comorbidities, more alcohol and opiate use, and were more frequently admitted due to self-harm diagnoses. Patients from phenotype C (predominant housing deprivation), were more frequently admitted with diagnoses related to chronic respiratory diseases and received more non-invasive positive pressure ventilation. Following adjustment for age, sex, alcohol and opiate use, socioeconomic phenotypes were not associated with increased 180-day mortality: phenotype A (reference); phenotype B (hazard ratio [HR], 0.85; 95% confidence interval CI 0.65-1.12); phenotype C (HR, 0.56; 95% CI 0.34-0.93); phenotype D (HR, 1.09; 95% CI 0.78-1.51); phenotype E (HR, 1.20; 95% CI 0.73-1.96).
Conclusions: In a universal health care system, the most deprived socioeconomic phenotypes were not associated with increased 180-day mortality. The most disadvantaged populations exhibit distinct characteristics and medical conditions that may be addressed through targeted public health interventions.
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http://dx.doi.org/10.1186/s13613-024-01279-1 | DOI Listing |
Socioeconomic deprivation - defined as a lack of social, economic and material resources - is associated with poor health outcomes and health disparities between population groups. The Research Program is a longitudinal cohort study of diverse participants from the United States, with demographic and social determinants of health data gleaned from participant surveys and health outcome data derived from electronic health records. We developed a composite index of socioeconomic deprivation (iSDI) using a cohort of 202,919 participants - based on education, employment, health insurance, housing, and income data - and we associated iSDI with health outcomes and disparities.
View Article and Find Full Text PDFJ Pain
January 2025
Department of Pain Translational Symptom Science, School of Nursing, University of Maryland, Baltimore, USA; Center to Advance Chronic Pain Research, University of Maryland, Baltimore, USA; Department of Anesthesiology and Psychiatry, University of Maryland School of Medicine, Baltimore, USA; Placebo Beyond Opinions Center, University of Maryland School of Nursing, Baltimore. Electronic address:
Socioeconomic Position (SEP) is a multidimensional construct encompassing education, income, occupation, and neighborhood distress, influencing chronic pain severity, interference, and duration. However, its impact on placebo analgesia, where reduced pain perception occurs due to treatment belief, remains understudied. Using a quasi-experimental approach, we investigated SEP's influence on placebo analgesia in 401 participants with temporomandibular disorder (TMD) and 400 pain-free individuals.
View Article and Find Full Text PDFJ Acad Nutr Diet
January 2025
Professor, Institute of Epidemiology and Healthcare, University College London; 1-19 Torrington Place, London, WC1E 7HB.
Introduction: Children's consumption of ultra-processed food (UPF) may contribute to inequalities in obesity and wider health. Socioeconomic patterning in younger UK children's UPF intake is unknown.
Objective: To investigate socioeconomic patterning of UK toddlers' (21-months) and children's (7-years) UPF intake across several household and neighbourhood indicators.
Psychiatry Res
January 2025
Department of Psychiatry, Johns Hopkins School of Medicine, Maryland, United States.
The COVID-19 pandemic caused disruption to health services. It is unclear if there were inequalities in the continuity of mental health care in the years around the COVID-19 pandemic. We used electronic health records (EHR) to detect mental health care gaps of more than six months in psychiatric appointments across demographic and socioeconomic characteristics among patients with depression.
View Article and Find Full Text PDFEur J Orthop Surg Traumatol
January 2025
Southwest of London Orthopaedic Elective Centre, Epsom, UK.
Background: The aim was to assess whether the postoperative Oxford Hip Score (OHS) demonstrated a ceiling effect at 1 or 2 years after total hip arthroplasty (THA) and to identify which patients are more likely to achieve a ceiling score and whether this limits assessment of their outcome.
Methods: A retrospective cohort of 7871 patients undergoing primary THA was identified from an established arthroplasty database. Patient demographics, ASA grade, socioeconomic status, OHS and EuroQol questionnaire were collected preoperatively and at 1 and 2 years postoperatively.
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