A computerised prescribing decision support system to improve patient adherence with prescribing: A randomised controlled trial

John W Bennett, Paul P Glasziou, Chris Del Mar, Frederick De Looze

Research output: Contribution to journalArticleResearchpeer-review

10 Citations (Scopus)

Abstract

BACKGROUND Medication adherence is often suboptimal and this leads to poorer health outcomes.
METHODS Participants: 179 adult patients taking three or more, long term medications in one academic general practice
in Brisbane, Queensland.
Design: Unblinded, factorial, randomised controlled trial of computer generated consumer product information,
computer generated medication timetable, both, or usual care.
Main outcome measures: We derived adherence to medication by measuring the relative prescription rate for six groups
of medications extracted by the Health Insurance Commission. We also measured patients' knowledge of, and
satisfaction with, medications, and general practitioners' attitudes to the decision support system.
RESULTS There was no effect on medication adherence. Although GPs were supportive of the system, neither patients'
self reported knowledge of medications, nor satisfaction with care, was increased by the intervention.
CONCLUSION Simply providing patients with medication timetables and computer generated consumer product
information does not improve drug adherence in primary care
Original languageEnglish
Pages (from-to)667-671
Number of pages5
JournalAustralian Family Physician
Volume32
Issue number8
Publication statusPublished - 2003
Externally publishedYes

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