Martin Michalowski|R Austin|Michelle A. Mathiason|Sasank Maganti|Erica Schorr|Karen A. Monsen
Relationships among interventions and health literacy outcomes for sub-populations: A data-driven approach
University of Minnesota|University of Minnesota|University of Minnesota|University of Minnesota|University of Minnesota|University of Minnesota
objectives goals study examine relationships among health literacy outcomes subpopulations identified within large multidimensional omaha system datasetspecific aims extract subpopulations data using latent class analysis lca quantify change knowledge score preto postintervention common subpopulationsdesign datadriven retrospective study using statistical modeling methodssample set admission discharge cases captured omaha system representing 65468 cases various health care providersmeasures demographic information omaha system terms including problems signssymptoms interventions used features describing cases used studydevelopment mapping demographics across health care systems enabled integration data different systemsresults knowledge scores increased five subpopulations identified latent class analysiseffect sizes interventions related health literacy outcomes varied low high greatest effect size populations young atrisk adultsthe significant knowledge gains seen problems including pregnancy postpartum family planning mental health substance useconclusions first study demonstrate positive relationships interventions health literacy outcomes large samplea deeper analysis results focusing specific problems relevant interventions impact health literacy required guide resource allocation communitybased careas future work focus determining correlations interventions specific problems knowledge change postintervention