Marya J. Cohen|Shimon Shaykevich|Courtney Cawthon|Sunil Kripalani|Michael K. Paasche?Orlow|Jeffrey L. Schnipper
Predictors of medication adherence postdischarge: The impact of patient age, insurance status, and prior adherence
Massachusetts General Hospital|Harvard University|Brigham and Women's Hospital|Vanderbilt Health|Vanderbilt Health|Vanderbilt University|Boston Medical Center|Boston University|Brigham and Women's Hospital|Harvard University
optimizing postdischarge medication adherence target avoiding adverse events nevertheless studies focused predictors postdischarge medication adherencethe pharmacist intervention low literacy cardiovascular disease pillcvd study used counseling followup improve postdischarge medication safety secondary data analysis analyzed predictors selfreported medication adherence discharge based interview 30days postdischarge adherence score calculated mean adherence previous week regularly scheduled medications multivariable linear regression used determine independent predictors postdischarge adherencethe mean age 646 included patients 612 years prescribed average 8 daily medications mean postdischarge adherence score 95 standard deviation sd 102 every 10year increase age 1 absolute increase postdischarge adherence 95 confidence interval ci 04 20 compared patients private insurance patients medicaid 45 less adherent 95 ci 76 14 every 1point increase baseline medication adherence score measured 4item morisky score 16 absolute increase postdischarge medication adherence 95 ci 08 24 surprisingly health literacy independent predictor postdischarge adherencein patients hospitalized cardiovascular disease predictors lower medication adherence postdischarge included younger age medicaid insurance baseline nonadherence factors help predict patients may benefit interventions