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Implementing an E-prescribing system in outpatient mental health programs.
Aileen B Rothbard1, Elizabeth Noll, Eri Kuno
1Department of Psychiatry, Center for Mental Health Policy and Services Research, Medical Center, University of Pennsylvania, 3535 Market Street, 3rd Floor, Philadelphia, PA, 19104-2648, USA. rothbard@mail.med.upenn.edu
Administration and Policy in Mental Health
|January 26, 2012
Summary
Implementing an electronic prescribing system in mental health agencies showed it was cost-effective. However, feedback reports did not significantly change psychiatrists
Area of Science:
- Health Informatics
- Psychiatry
- Public Health
Background:
- Electronic prescribing systems offer potential for improving mental healthcare quality.
- Community mental health agencies face challenges in optimizing prescribing practices.
- Monitoring and feedback mechanisms are crucial for evidence-based treatment.
Purpose of the Study:
- To evaluate the implementation and usefulness of an electronic prescription ordering system and feedback report.
- To assess the impact of this system on psychiatrists' prescribing behavior in mental health outpatient settings.
- To explore the potential of health information technology (HIT) in public mental health systems.
Main Methods:
- An electronic prescription ordering system was implemented in three community-based mental health outpatient agencies.
- Monthly feedback reports on evidence-based prescribing for schizophrenia and major affective disorders were provided to prescribers.
- The e-prescribing system served as a data collection tool for evaluating prescribing patterns.
Main Results:
- E-prescribing tools were found to be installable at a reasonable cost with a short startup period.
- The feedback intervention did not result in a significant reduction in questionable prescribing patterns.
- Further investigation is needed to understand prescriber utility and reasons for non-evidence-based prescribing.
Conclusions:
- Electronic prescribing systems are feasible and cost-effective for mental health settings.
- Current feedback mechanisms require refinement to effectively influence prescribing behavior.
- HIT, combined with claims data, holds significant potential for monitoring and decision-making in public mental health.
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