このページは自動翻訳されたものであり、翻訳の正確性は保証されていません。を参照してください。 英語版 ソーステキスト用。

Pharmacy Home Adherence Reporting and Monitoring Outcomes Study (PHARxMOS)

2021年12月13日 更新者:Brown University

Nudging Doctors to Collaborate With Pharmacists to Improve Medication Adherence

This study is a pilot test of an intervention that delivers timely diagnostic information about medication nonadherence to doctors, and then offers the services of clinical pharmacists to treat these nonadherence problems. Participating doctors will be notified when a patient is 10 days late refilling a medication for diabetes, hypertension, or hypercholesterolemia. In one randomization arm the pharmacist will contact the patient as the default option (with no action required by the doctor), and in the other the pharmacist will contact the patient only if the doctor actively chooses that the pharmacist take action. Patients of participating doctors will be randomized to 1) one of these two pharmacist options, 2) an information only control arm in which the doctor gets adherence information but does not have access to a pharmacist for that patient, and 3) a no information control arm. The investigators' central hypothesis is that the pharmacist will be consulted more often when intervention by the pharmacist is the default outcome and that the default pharmacist intervention will be the most beneficial for adherence outcomes.

調査の概要

詳細な説明

Poor adherence with prescription medications is ubiquitous, regardless of the disease, medication, patient population, or country studied. It is also expensive - annual costs of poor adherence in the United States were recently estimated at $290 billion. This problem has two components: diagnosis and treatment. Regarding diagnosis, doctors' assessments of patients' adherence are inaccurate, and doctors often do not discuss adherence problems with their patients. This makes it attractive to use pharmacy claims to identify nonadherence. While diagnostic data is necessary to solve the non-adherence problem, it is not sufficient. Once diagnosed, doctors must take action to treat nonadherence. Research shows that simply giving doctors claims data about nonadherence is ineffective, probably because it is not clear what action to take, and because the costs in time and energy of taking action are too great. What is currently lacking is a practical way to effectively integrate this diagnostic information and treatment expertise into work flows in primary care doctors' offices, and an effective method of inducing doctors to act on it. Behavioral economics suggests that barriers to doctors' action may be overcome in a cost effective way by altering the architecture of choices doctors face.

The long term goal of this research is to develop systems that effectively connect pharmacy benefits managers (PBMs), primary care doctors, clinical pharmacists, and patients in ways that improve medication adherence and patients' health outcomes. The overall objective of this application, which is the next step toward attainment of the investigators long term goal, is to conduct a pilot test of an intervention that delivers timely diagnostic information about nonadherence to doctors, and then offers the services of clinical pharmacists to treat these nonadherence problems. Participating doctors will be notified when a patient is 10 days late refilling a medication for diabetes, hypertension, or hypercholesterolemia. Taking advantage of the principle of intelligent choice architecture from behavioral economics, in one arm the pharmacist will contact the patient as the default option (with no action required by the doctor), and in the other the pharmacist will contact the patient only if the doctor actively chooses that the pharmacist take action. Patients of participating doctors will be randomized to 1) one of these two pharmacist options, 2) an information only control arm in which the doctor gets adherence information but does not have access to a pharmacist for that patient, and 3) a no information control arm. The investigators central hypothesis, which is strongly supported by work in other fields, is that the pharmacist will be consulted more often when intervention by the pharmacist is the default outcome and that the default pharmacist intervention will be the most beneficial for adherence outcomes.

This study is a collaboration between researchers at Brown University, Tufts University, Harvard University, and Johns Hopkins University; Express Scripts; a large regional commercial insurer; and a network of primary care doctors in Eastern Massachusetts. The team is led by Dr. Ira Wilson, an experienced adherence researcher, and includes behavioral and health economists, and a statistician experienced in adherence issues. The investigators will accomplish the investigators overall objectives by pursuing the following Specific Aims:

  1. Establish and test the technical and communications infrastructure required for the conduct of this clinical trial. The following steps must occur in a secure environment: a) Express Scripts notifies the study that a patient is late filling a prescription, b) the study notifies the doctor, c) the doctor makes a choice about how to respond, and d) a pharmacist, in some cases, contacts the patient.
  2. Conduct and evaluate a clinical trial of an intervention comparing methods of offering pharmacist services to primary care doctors. Eligible doctors and patients will be randomized to a) pharmacist services under one of two choice architecture conditions (default or choice), b) adherence information only, or c) no information; further randomization for patients in the experimental arms will occur where the patient's HMO/PPO status will be revealed to the physician, or not. Outcomes include medication adherence, duration of nonadherence event, and physician participant behavioral outcomes.

研究の種類

介入

入学 (実際)

2697

段階

  • 適用できない

連絡先と場所

このセクションには、調査を実施する担当者の連絡先の詳細と、この調査が実施されている場所に関する情報が記載されています。

研究場所

    • Rhode Island
      • Providence、Rhode Island、アメリカ、02913
        • Brown University

参加基準

研究者は、適格基準と呼ばれる特定の説明に適合する人を探します。これらの基準のいくつかの例は、人の一般的な健康状態または以前の治療です。

適格基準

就学可能な年齢

18年歳以上 (大人、高齢者)

健康ボランティアの受け入れ

いいえ

受講資格のある性別

全て

説明

Physician Inclusion Criteria:

  • New England Quality Care Alliance (NEQCA) primary care physicians of adult patients insured through large commercial insurer partner

Patient Inclusion Criteria:

  • Adult patients of consented New England Quality Care Alliance (NEQCA) primary care physicians
  • Insured through large commercial insurer partner
  • Prescribed chronic medications for one or more of the three study conditions in the past six months

Patient Exclusion Criterion:

  • On the insurer's "do not contact" list

研究計画

このセクションでは、研究がどのように設計され、研究が何を測定しているかなど、研究計画の詳細を提供します。

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:独身

武器と介入

参加者グループ / アーム
介入・治療
実験的:Default patient default doctor
Patient nonadherence information sent to physician; Pharmacist calls patient unless physician cancels call
実験的:Information patient default doctor
Patient nonadherence information sent to physician
介入なし:Control patient default doctor
Control - no intervention
実験的:Choice patient choice doctor
Patient nonadherence information sent to physician; Pharmacist calls patient if physician requests call
実験的:Information patient choice doctor
Patient nonadherence information sent to physician
介入なし:Control patient choice doctor
Control - no intervention
実験的:Information patient information doctor
Patient nonadherence information sent to physician
介入なし:Control patient information doctor
Control - no intervention
実験的:Information doctor
Physician receives nonadherence information, but there is no opportunity for pharmacist action
実験的:Choice doctor
Physician receives nonadherence information, and can choose to request pharmacist action
実験的:Default doctor
Physician receives nonadherence information; pharmacist action will be triggered unless physician cancels action

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
メジャーの説明
時間枠
Probability of Resolution of Nonadherence Within 30 Days
時間枠:Outcome measure examines fills within 30 days of a nonadherence event. Participants were followed over a total of 6 months.
Patients who were more than 10 days late refilling a chronic medication prescription were in the analytic sample frame and were targeted for intervention according to how they were randomized. This outcome is the rate at which these patients have filled a prescription by 30 days. Outcome is 1 if the patient fills the prescription by 30 days (considered resolution of nonadherence); otherwise it is 0. Outcome measures reported are the means of the per-person proportions of nonadherence (NAE) events resolved within 30 days across all patients in each particular arm.
Outcome measure examines fills within 30 days of a nonadherence event. Participants were followed over a total of 6 months.
Duration of Nonadherence Event
時間枠:Participants were followed over a total of 6 months
Patients who were more than 10 days late refilling a chronic medication prescription were in the analytic sample frame and were targeted for intervention according to how they were randomized. This outcome is the duration of nonadherence event (the length of time the patient took to refill a prescription if the refill had been late), in days.
Participants were followed over a total of 6 months

二次結果の測定

結果測定
メジャーの説明
時間枠
Probability of Physician Viewing Nonadherence Event Information
時間枠:Participants were followed over a total of 6 months
Patients who were more than 10 days late refilling a chronic medication prescription were in the analytic sample frame and were targeted for intervention according to how they were randomized. This outcome is the rate at which physicians viewed nonadherence event information. Outcome measures reported are the means of the per-person proportions of NAE event notices viewed by the physician across all patients in each particular arm.
Participants were followed over a total of 6 months
Probability of Pharmacist Action Triggered
時間枠:Participants were followed over a total of 6 months
Patients who were more than 10 days late refilling a chronic medication prescription were in the analytic sample frame and were targeted for intervention according to how they were randomized. This outcome is the rate at which pharmacist action was triggered to resolve nonadherence. Outcome measures reported are the means of the per-person proportions of NAE events which triggered pharmacist action across all patients in each particular arm.
Participants were followed over a total of 6 months

協力者と研究者

ここでは、この調査に関係する人々や組織を見つけることができます。

スポンサー

捜査官

  • 主任研究者:Ira B Wilson, MD, MSc、Brown University

出版物と役立つリンク

研究に関する情報を入力する責任者は、自発的にこれらの出版物を提供します。これらは、研究に関連するあらゆるものに関するものである可能性があります。

研究記録日

これらの日付は、ClinicalTrials.gov への研究記録と要約結果の提出の進捗状況を追跡します。研究記録と報告された結果は、国立医学図書館 (NLM) によって審査され、公開 Web サイトに掲載される前に、特定の品質管理基準を満たしていることが確認されます。

主要日程の研究

研究開始

2011年3月1日

一次修了 (実際)

2014年2月1日

研究の完了 (実際)

2014年2月1日

試験登録日

最初に提出

2014年11月2日

QC基準を満たした最初の提出物

2014年11月30日

最初の投稿 (見積もり)

2014年12月3日

学習記録の更新

投稿された最後の更新 (実際)

2022年1月11日

QC基準を満たした最後の更新が送信されました

2021年12月13日

最終確認日

2021年12月1日

詳しくは

本研究に関する用語

その他の研究ID番号

  • 1010000295
  • 7RC4AG039072-02 (米国 NIH グラント/契約)

個々の参加者データ (IPD) の計画

個々の参加者データ (IPD) を共有する予定はありますか?

いいえ

医薬品およびデバイス情報、研究文書

米国FDA規制医薬品の研究

いいえ

米国FDA規制機器製品の研究

いいえ

この情報は、Web サイト clinicaltrials.gov から変更なしで直接取得したものです。研究の詳細を変更、削除、または更新するリクエストがある場合は、register@clinicaltrials.gov。 までご連絡ください。 clinicaltrials.gov に変更が加えられるとすぐに、ウェブサイトでも自動的に更新されます。

購読する