Inappropriate prescribing for older people admitted to an intermediate-care nursing home unit and hospital wards

Scand J Prim Health Care. 2012 Sep;30(3):169-75. doi: 10.3109/02813432.2012.704813. Epub 2012 Jul 25.

Abstract

Objective: To identify inappropriate prescribing among older patients on admission to and discharge from an intermediate-care nursing home unit and hospital wards, and to compare changes during stay within and between these groups.

Design: Observational study.

Setting and subjects: Altogether 400 community-dwelling people aged ≥ 70 years, on consecutive emergency admittance to hospital wards of internal medicine and orthopaedic surgery, were randomized to an intermediate-care nursing home unit or hospital wards; 290 (157 at the intermediate-care nursing home unit and 133 in hospital wards) were eligible for this sub-study.

Main outcome measures: Prevalence on admission and discharge of potentially inappropriate medications (Norwegian general practice [NORGEP] criteria) and drug-drug interactions; changes during stay.

Results: The mean (SD) age was 84.7 (6.2) years; 71% were women. From admission to discharge, the mean numbers of drugs prescribed per person increased from 6.0 (3.3) to 9.3 (3.8), p < 0.01. The prevalence of potentially inappropriate medications increased from 24% to 35%, p < 0.01; concomitant use of ≥ 3 psychotropic/opioid drugs and drug combinations including non-steroid anti-inflammatory drugs (NSAIDs) increased significantly. Serious drug-drug interactions were scarce both on admission and discharge (0.7%).

Conclusions: Inappropriate prescribing was prevalent among older people acutely admitted to hospital, and the prevalence was not reduced during stay at an intermediate-care nursing home unit specially designed for these patients.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Aged
  • Aged, 80 and over
  • Female
  • Geriatric Nursing
  • Hospitals / statistics & numerical data*
  • Humans
  • Inappropriate Prescribing / statistics & numerical data*
  • Logistic Models
  • Male
  • Norway
  • Nursing Homes / statistics & numerical data*
  • Patient Admission / statistics & numerical data
  • Patient Discharge / statistics & numerical data