Barry D Weiss, Angela G Brega, William G LeBlanc, Natabhona M Mabachi, Juliana Barnard, Karen Albright, Maribel Cifuentes, Cindy Brach, David R West
Improving the Effectiveness of Medication Review: Guidance from the Health Literacy Universal Precautions Toolkit
Journal of the American Board of Family Medicine : JABFM
study explored association socioeconomic status ses mortality among patients hospitalized heart failure hf china used data china patientcentred evaluative assessment cardiac eventsprospective heart failure study china peace 5phf study enrolled patients hospitalized primarily hf 52 hospitals 2016 2018 ses measured using income employment status educational attainment partner status individual socioeconomic risk factor serf scores assigned based number coexisting serfs including low income unemployed status low education unpartnered status assessed effects ses 1 year allcause mortality using cox models used harrell c statistic investigate whether ses added incremental prognostic information mortality prediction total 4725 patients included analysis median interquartile range age 67 5776 years 376 women riskadjusted analyses patients lowmiddle income low income hazard ratio hr 161 95 confidence interval ci 121214 middle income hr 132 95 ci 100174 unemployment status hr 143 95 ci 110186 low education hr 125 95 ci 103153 unpartnered status hr 122 95 ci 103146 higher risk death patients high income employed high education level partner respectively compared patients without serfs 1 2 3 4 serfs 152 201 245 320fold increased risk death respectively addition ses fully adjusted model improved mortality prediction increments c statistic 001 p 001 national chinese cohort patients hospitalized hf low income unemployment status low education unpartnered status associated higher risk death 1 year following discharge addition incorporating ses clinicalbased model could better identify patients risk death tailored clinical interventions needed mitigate excess risk experienced socioeconomic deprived hf patients