Longitudinal prescribing patterns in a nursing home population

J Am Geriatr Soc. 1992 Jan;40(1):53-6. doi: 10.1111/j.1532-5415.1992.tb01829.x.

Abstract

Objective: This study documents the patients characteristics associated with prescribed medications on entry to a nursing home and the change in prescribing patterns after 3 months.

Design: One-year admission cohort.

Setting: Three university-affiliated community nursing homes in Albuquerque, NM.

Patients: All new admissions (n = 81) to a University geriatrics team, covering intermediate and skilled levels of care during 1 year (July 1, 1988-July 1, 1989).

Methods: Outcome measures were scheduled and as-needed (PRN) medications prescribed at entry and 3 months. Data collected at entry included patient demographics, activities of daily living index, mental status score, and medical diagnoses.

Results: Older persons were prescribed fewer scheduled medications than younger ones, and women fewer than men. There was a positive association between the number of diagnoses and the number of scheduled medications (r = 0.25, P = 0.02). No associations were found between medications prescribed and mental status or functional level. There were no associations between as-needed (PRN) medications and any of the variables studied. Overall, there was a significant increase in the average total number of medications prescribed between admission (4.7) and 3 months (6.2). This was due to an increase in the number of PRN medications from 1.3 at admission to 3.0 at 3 months (P less than 0.001).

Conclusions: Measuring medications at consistent points in a person's nursing home stay may be more informative than using cross-sectional sampling. Future studies on medications in nursing home populations should distinguish between PRN and scheduled medications because medication prescribing patterns may be different in these categories.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Age Factors
  • Aged
  • Aged, 80 and over
  • Drug Utilization*
  • Female
  • Health Status
  • Humans
  • Longitudinal Studies
  • Male
  • Nursing Homes*
  • Sex Factors