title: Medication data collection and coding in a home-based survey of older adults.
abstract: OBJECTIVE
  To describe the collection, coding, and validity of medication data from the National Social Life, Health and Aging Project (NSHAP)-a survey of a national probability sample of adults aged 57-85 years.
  
  
  METHODS
  Medication data were collected during an in-home interview by direct observation using a computer-based log and included prescription, over-the-counter, and nutritional supplements. The Multum drug database was used for coding drug names and for mapping those names to therapeutic categories. Drugs not included in Multum were assigned to medication classes by extending Multum's typology. Internal and external validity of the medication data are examined and analytic use of the medication data is discussed.
  
  
  RESULTS
  Only 0.9% of respondents refused to participate in the medication log. Ninety-nine percent of all entries were identified and mapped to a medication class. Use of medication classes correlated highly with the presence of corresponding health conditions and related biological measures. The prevalence of use of common therapeutic classes of medications in NSHAP is comparable to that found in other national studies.
  
  
  CONCLUSIONS
  Nearly all NSHAP respondents cooperated with the medication use data collection protocol. Medication data obtained by the in-home, direct observation medication log method were found to be internally and externally valid.
authors.affiliation: Department of Obstetrics and Gynecology, University of Chicago, 5841 S. Maryland Ave., Chicago, IL, USA . dimaqato@uchicago.edu
authors.forename: Dima M
authors.initials: DM
authors.lastname: Qato
authors.forename: L Philip
authors.initials: LP
authors.lastname: Schumm
authors.forename: Michael
authors.initials: M
authors.lastname: Johnson
authors.forename: Andreea
authors.initials: A
authors.lastname: Mihai
authors.forename: Stacy Tessler
authors.initials: ST
authors.lastname: Lindau
mesh_terms: D000368:Aged; D000369:Aged, 80 and over; D000375:Aging / Q000523:psychology*; D003627:Data Interpretation, Statistical; D004363:Drug Utilization / Q000706:statistics & numerical data; D005260:Female; D006304:Health Status; D006306:Health Surveys; D006801:Humans; D008297:Male; D008403:Mass Screening / Q000706:statistics & numerical data; D008875:Middle Aged; D055553:Prescription Drugs / Q000145:classification / Q000627:therapeutic use*; D015203:Reproducibility of Results; D012919:Social Behavior; D013223:Statistics as Topic; D014481:United States; D014600:Utilization Review / Q000706:statistics & numerical data
chemical_list: D055553:Prescription Drugs