Reducing the Unnecessary Use of Heavily Marketed Medications: A Randomized Controlled Trial
Reducing Unnecessary Use of Heavily Marketed Medicines: A Randomized Controlled Trial of Computerized Prescribing Alerts and Clinician Education
Prescribing decisions by clinicians are often thought to be simple: a patient's clinical problem leads a prescriber to choose the optimal treatment. However, many factors other than the patient's condition affect prescribing decisions, including the marketing of pharmaceuticals. Clinicians are subjected to direct "detailing" by representatives of the pharmaceutical industry, advertisements in medical journals and requests for specific treatments from patients, who are increasingly exposed to direct-to-consumer (DTC) advertising. These influences, often based on biased or inaccurate information, contribute to a variety of problems in prescribing, including the unnecessary use of expensive, heavily marketed medications.
Overcoming these influences requires innovative approaches. The movement toward widespread adoption of electronic health records (EHRs) and electronic prescribing presents new opportunities to educate both clinicians and patients at the time of medication prescribing. This project, endorsed by the AHRQ-supported Centers for Education and Research on Therapeutics (CERTs; www.certs.hhs.gov) and the U.S. Food and Drug Administration (FDA), aims to test the effectiveness of computerized prescribing alerts and state-of-the-art educational outreach to reduce the unnecessary use of heavily marketed medications. A second goal is to improve clinicians' knowledge of industry marketing practices, so that they can more effectively assess information provided by drug companies. Thus, the study has two specific aims:
Specific Aim 1: To assess whether computerized prescribing alerts linked electronically to patient educational material can reduce prescribing of heavily marketed medications.
Specific Aim 2: To assess whether group academic detailing increases clinicians' knowledge about industry marketing practices and increases the effect of prescribing alerts.
調査の概要
研究の種類
入学 (実際)
段階
- 適用できない
連絡先と場所
研究場所
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Massachusetts
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Boston、Massachusetts、アメリカ、02215
- Harvard Pilgrim Health Care
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参加基準
適格基準
就学可能な年齢
- 子
- 大人
- 高齢者
健康ボランティアの受け入れ
受講資格のある性別
説明
Inclusion Criteria:
- Internal medicine clinicians
Exclusion Criteria:
- none
研究計画
研究はどのように設計されていますか?
デザインの詳細
- 主な目的:ヘルスサービス研究
- 割り当て:ランダム化
- 介入モデル:並列代入
- マスキング:なし(オープンラベル)
武器と介入
参加者グループ / アーム |
介入・治療 |
|---|---|
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介入なし:いつものお手入れ
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実験的:Computerized Alerts
Computerized Clinical Decision Support to clinician at the time of prescribing
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Computerized Clinical Decision Support to clinician at the time of prescribing
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実験的:Alerts PLUS Detailing
Computerized Clinical Decision Support to clinician at the time of prescribing PLUS one group academic detailing session
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Computerized Clinical Decision Support to clinician at the time of prescribing PLUS one group academic detailing session
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この研究は何を測定していますか?
主要な結果の測定
結果測定 |
時間枠 |
|---|---|
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proportion of prescriptions for hypnotic medications that were heavily marketed medications (study medications). Hypnotic medications were defined as the study medications intervention plus zolpidem and trazodone.
時間枠:one year
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one year
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協力者と研究者
協力者
捜査官
- 主任研究者:Steven R Simon, MD、Harvard Medical School and Harvard Pilgrim Health Care
出版物と役立つリンク
研究記録日
主要日程の研究
研究開始
一次修了 (実際)
研究の完了 (実際)
試験登録日
最初に提出
QC基準を満たした最初の提出物
最初の投稿 (見積もり)
学習記録の更新
投稿された最後の更新 (見積もり)
QC基準を満たした最後の更新が送信されました
最終確認日
詳しくは
本研究に関する用語
その他の研究ID番号
- 5.12.05
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