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Pharmacy Home Adherence Reporting and Monitoring Outcomes Study (PHARxMOS)

2021년 12월 13일 업데이트: 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.

연구 개요

상세 설명

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.

연구 유형

중재적

등록 (실제)

2697

단계

  • 해당 없음

연락처 및 위치

이 섹션에서는 연구를 수행하는 사람들의 연락처 정보와 이 연구가 수행되는 장소에 대한 정보를 제공합니다.

연구 장소

    • Rhode Island
      • Providence, Rhode Island, 미국, 02913
        • Brown University

참여기준

연구원은 적격성 기준이라는 특정 설명에 맞는 사람을 찾습니다. 이러한 기준의 몇 가지 예는 개인의 일반적인 건강 상태 또는 이전 치료입니다.

자격 기준

공부할 수 있는 나이

18년 이상 (성인, 고령자)

건강한 자원 봉사자를 받아들입니다

아니

연구 대상 성별

모두

설명

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

공부 계획

이 섹션에서는 연구 설계 방법과 연구가 측정하는 내용을 포함하여 연구 계획에 대한 세부 정보를 제공합니다.

연구는 어떻게 설계됩니까?

디자인 세부사항

  • 주 목적: 건강 서비스 연구
  • 할당: 무작위
  • 중재 모델: 병렬 할당
  • 마스킹: 하나의

무기와 개입

참가자 그룹 / 팔
개입 / 치료
실험적: Default patient default doctor
Patient nonadherence information sent to physician; Pharmacist calls patient unless physician cancels call
실험적: Information patient default doctor
Patient nonadherence information sent to physician
간섭 없음: Control patient default doctor
Control - no intervention
실험적: Choice patient choice doctor
Patient nonadherence information sent to physician; Pharmacist calls patient if physician requests call
실험적: Information patient choice doctor
Patient nonadherence information sent to physician
간섭 없음: Control patient choice doctor
Control - no intervention
실험적: Information patient information doctor
Patient nonadherence information sent to physician
간섭 없음: Control patient information doctor
Control - no intervention
실험적: Information doctor
Physician receives nonadherence information, but there is no opportunity for pharmacist action
실험적: Choice doctor
Physician receives nonadherence information, and can choose to request pharmacist action
실험적: Default doctor
Physician receives nonadherence information; pharmacist action will be triggered unless physician cancels action

연구는 무엇을 측정합니까?

주요 결과 측정

결과 측정
측정값 설명
기간
Probability of Resolution of Nonadherence Within 30 Days
기간: 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
기간: 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

2차 결과 측정

결과 측정
측정값 설명
기간
Probability of Physician Viewing Nonadherence Event Information
기간: 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
기간: 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

공동 작업자 및 조사자

여기에서 이 연구와 관련된 사람과 조직을 찾을 수 있습니다.

스폰서

수사관

  • 수석 연구원: Ira B Wilson, MD, MSc, Brown University

간행물 및 유용한 링크

연구에 대한 정보 입력을 담당하는 사람이 자발적으로 이러한 간행물을 제공합니다. 이것은 연구와 관련된 모든 것에 관한 것일 수 있습니다.

연구 기록 날짜

이 날짜는 ClinicalTrials.gov에 대한 연구 기록 및 요약 결과 제출의 진행 상황을 추적합니다. 연구 기록 및 보고된 결과는 공개 웹사이트에 게시되기 전에 특정 품질 관리 기준을 충족하는지 확인하기 위해 국립 의학 도서관(NLM)에서 검토합니다.

연구 주요 날짜

연구 시작

2011년 3월 1일

기본 완료 (실제)

2014년 2월 1일

연구 완료 (실제)

2014년 2월 1일

연구 등록 날짜

최초 제출

2014년 11월 2일

QC 기준을 충족하는 최초 제출

2014년 11월 30일

처음 게시됨 (추정)

2014년 12월 3일

연구 기록 업데이트

마지막 업데이트 게시됨 (실제)

2022년 1월 11일

QC 기준을 충족하는 마지막 업데이트 제출

2021년 12월 13일

마지막으로 확인됨

2021년 12월 1일

추가 정보

이 연구와 관련된 용어

기타 연구 ID 번호

  • 1010000295
  • 7RC4AG039072-02 (미국 NIH 보조금/계약)

개별 참가자 데이터(IPD) 계획

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아니요

약물 및 장치 정보, 연구 문서

미국 FDA 규제 의약품 연구

아니

미국 FDA 규제 기기 제품 연구

아니

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