Xuesong Chen, Jianchang Jin, Wei Ke, Yuqin Mao, Feilin Hao, Dongmei Xu
Exploring cognitive behavioral aspects in educational psychology: A rigorous analysis of reliability and validity measures
SLAS technology
background among patients heart failure hf social risk factors srfs associated poor outcomes however less known cooccurrence srfs affect allcause health care utilization patients hf objective address gap using novel approach classify cooccurrence srfs methods results cohort study residents living 11county region southeast minnesota aged 18 years firstever diagnosis hf january 2013 june 2017 srfs including education health literacy social isolation race ethnicity obtained via surveys areadeprivation index ruralurban commuting area codes determined patient addresses associations srfs outcomes emergency department visits hospitalizations assessed using andersengill models latent class analysis used identify subgroups srfs associations outcomes examined total 3142 patients hf mean age 734 years 45 women srf data available srfs strongest association hospitalizations education social isolation areadeprivation index identified 4 groups using latent class analysis group 3 characterized srfs increased risk emergency department visits hazard ratio hr 133 95 ci 123145 hospitalizations hr 142 95 ci 128158 conclusions low educational attainment high social isolation high areadeprivation index strongest associations identified meaningful subgroups respect srfs subgroups associated outcomes findings suggest possible apply latent class analysis better understand cooccurrence srfs among patients hf