AMIA Annu Symp Proc - Facilitating Clinical Research through the Health Information Exchange: Lipid Control as an Example.

Tópicos

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Resumo

Using data from the Indiana Network of Patient Care (INPC), we analyzed long-term statin adherence patterns and their effects on low-density lipoprotein cholesterol (LDL-C) control among patients with type 2 diabetes. Statin adherence was measured by proportion of days covered (PDC) for a 6-month interval prior to each LDL-C test date. Patient demographic and clinical characteristics were used as covariates for LDL-C control and predictors for statin adherence. From 4,350 eligible subjects, 25,596 6-month PDC and LDL-C level pairs were formed between 2001 and 2009. Rates of suboptimal adherence and suboptimal LDL-C control were 68.5% and 46.6%, respectively. Positive predictors for LDL-C control included adherence to statin (OR: 1.87, p<0.0001) and older age (OR: 1.11, p=0.01). Significant risk factors for non-adherence were young age, female gender, African American race and newly-treated status. This study demonstrated the utility of a health information exchange in health outcome and clinical effectiveness research.

Resumo Limpo

use data indiana network patient care inpc analyz longterm statin adher pattern effect lowdens lipoprotein cholesterol ldlc control among patient type diabet statin adher measur proport day cover pdc month interv prior ldlc test date patient demograph clinic characterist use covari ldlc control predictor statin adher elig subject month pdc ldlc level pair form rate suboptim adher suboptim ldlc control respect posit predictor ldlc control includ adher statin p older age p signific risk factor nonadher young age femal gender african american race newlytr status studi demonstr util health inform exchang health outcom clinic effect research

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