Quantifying the collective influence of social determinants of health using conditional and cluster modeling.

ABSTRACT:

Objectives

Our objective was to analyze the collective effect of social determinants of health (SDoH) on lumbar spine surgery outcomes utilizing two different statistical methods of combining variables.

Methods

This observational study analyzed data from the Quality Outcomes Database, a nationwide United States spine registry. Race/ethnicity, educational attainment, employment status, insurance payer, and gender were predictors of interest. We built two models to assess the collective influence of SDoH on outcomes following lumbar spine surgery-a stepwise model using each number of SDoH conditions present (0 of 5, 1 of 5, 2 of 5, etc) and a clustered subgroup model. Logistic regression analyses adjusted for age, multimorbidity, surgical indication, type of lumbar spine surge

SUBMITTER: Rethorn ZD 

PROVIDER: S-EPMC7644039 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature