title: Predictors of medication self-management skill in a low-literacy population.
abstract: BACKGROUND
  Patients' ability to manage medications is critical to chronic disease control. Also known as medication management capacity (MMC), it includes the ability to correctly identify medications and describe how they should be taken.
  
  
  OBJECTIVE
  To evaluate the effects of low literacy, medication regimen complexity, and sociodemographic characteristics on MMC.
  
  
  METHODS
  Cross-sectional analysis of enrollment data from participants in a randomized trial.
  
  
  METHODS
  Patients with coronary heart disease in an inner-city clinic.
  
  
  METHODS
  Medication management capacity was measured with the Drug Regimen Unassisted Grading Scale (DRUGS), which scores subjects' ability to identify, open, describe the dose, and describe the timing of their medications. DRUGS overall and component scores were compared by literacy, Mini Mental State Exam score, regimen complexity (number of prescription medications), and sociodemographic characteristics.
  
  
  RESULTS
  Most of the 152 participants were elderly (mean age 65.4 years), women (54.6%), and African American (94.1%). Approximately half (50.7%) had inadequate literacy skills, and 28.9% had marginal skills. In univariate analysis, MMC was significantly associated with literacy (P<.001), and this effect was driven by the ability to identify medications. In multivariable models, patients with inadequate literacy skills had 10 to 18 times the odds of being unable to identify all of their medications, compared with those with adequate literacy skills (P<.05).
  
  
  CONCLUSIONS
  Adults with inadequate literacy skills have less ability to identify their medications. Techniques are needed to better educate low-literacy patients about their medications, as a potential strategy to enhance adherence.
authors.affiliation: Division of General Medicine, Emory University School of Medicine, Atlanta, GA 30303, USA. skripal@emory.edu
authors.forename: Sunil
authors.initials: S
authors.lastname: Kripalani
authors.forename: Laura E
authors.initials: LE
authors.lastname: Henderson
authors.forename: Ellen Y
authors.initials: EY
authors.lastname: Chiu
authors.forename: Rashanda
authors.initials: R
authors.lastname: Robertson
authors.forename: Paul
authors.initials: P
authors.lastname: Kolm
authors.forename: Terry A
authors.initials: TA
authors.lastname: Jacobson
mesh_terms: D000368:Aged; D003430:Cross-Sectional Studies; D004348:Drug Labeling / Q000379:methods; D004522:Educational Status; D005260:Female; D007722:Health Knowledge, Attitudes, Practice; D006801:Humans; D008297:Male; D008875:Middle Aged; D004364:Pharmaceutical Preparations / Q000008:administration & dosage*; D011237:Predictive Value of Tests; D012646:Self Administration; D012648:Self Care / Q000379:methods
chemical_list: D004364:Pharmaceutical Preparations