VA Integrated Medication Manager (IMM)
2016년 5월 17일 업데이트: University of Utah
Veterans Affairs Integrated Medication Manager
The purpose of this study is to advance the science of healthcare informatics and to improve medication management through the development of a new approach to the electronic medical record called the Integrated Medication Manager (IMM).
연구 개요
상세 설명
In an attempt to address problems patient non-compliance with quality goals barriers to access and integration of health information that impede achievement of treatment goals, the VA is developing a new approach to the electronic medical record. The VA is moving away from the paper-chart metaphor and towards an integrated representation of the patient's status and care process across time. One of the first steps in the development phase has been to explicitly relate patient conditions, therapies, and goals in the domain of pharmacotherapy. This is called Integrated Medication Management and draws on Hollnagel's Contextual Control Model. Providers will be able to plan care and create orders directly in the context of these explicit relationships. This application will be implemented nationwide through a web interface embedded within the existing Computerized Patient Record System (CPRS), the graphical user interface to VA Information Systems (VistA).
Aim 1: Identify cognitive components of providers' therapeutic decision making in the field.
Aim 2. Refine and evaluate the Integrated Medication Manager using simulation studies.
- Aim 2.a. Refine interfaces and logic of the Integrated Medication Manager.
- Aim 2.b. Compare the performance of the Integrated Medication Manager and usual CPRS.
All hypotheses (below) test the use of IMM versus usual electronic medical record (EMR).
- Speed of decision-making will be faster.
- Accuracy of data interpretation (clinical assessment) will be higher.
- Appropriateness of therapeutic plans will be higher.
- Efficiency of gathering information will be higher.
- Common ground measures will be higher.
- Appropriateness of therapeutic plans will be higher when relevant data is outside the usual time horizon.
- Appropriateness of therapeutic plans will be higher when complex associations among patient therapies and goals exist.
- Appropriateness of therapeutic plans will be no lower when relevant data is not captured by the displays of the IMM.
- Appropriateness of therapeutic plans will be higher when highly salient data is not germane to the most important problem.
- Appropriateness of therapeutic plans will be higher when cognitive load is high due to interruptions.
연구 유형
중재적
등록 (실제)
58
단계
- 해당 없음
연락처 및 위치
이 섹션에서는 연구를 수행하는 사람들의 연락처 정보와 이 연구가 수행되는 장소에 대한 정보를 제공합니다.
연구 장소
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Utah
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Salt Lake City, Utah, 미국, 84148
- VA SLC Health Care System
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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
예
연구 대상 성별
모두
설명
Inclusion Criteria:
- Practiced in primary care for at least two years
- Third year residents with two years of residency in internal medicine or family practice
- Do not have to be currently practicing
Exclusion Criteria:
- None
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: 없음(오픈 라벨)
무기와 개입
참가자 그룹 / 팔 |
개입 / 치료 |
|---|---|
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실험적: Integrated Medication Manager
Experienced providers that participated in the EHR simulations.
Half of the providers were assigned to use the new Integrated Medication Manager (intervention) during the simulation.
The other half were assigned the VA's CPRS to use (standard EHR).
Providers were randomly assigned which system to use.
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A theory based electronic health record.
Half of the provider participants were assigned the IMM to use.
The other half were assigned the VA's CPRS EHR to use for the simulation.
Providers were randomly assigned to a EHR to use.
다른 이름들:
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간섭 없음: Standard EHR
Experienced providers that participated in the EHR simulations.
Half of the providers were assigned to use the new Integrated Medication Manager (intervention) during the simulation.
The other half were assigned the VA's CPRS to use (standard EHR).
Providers were randomly assigned which system to use.
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연구는 무엇을 측정합니까?
주요 결과 측정
결과 측정 |
측정값 설명 |
기간 |
|---|---|---|
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Amount of Time to Complete Assessment and Plan
기간: 10 minutes
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Each participant had 10 minutes maximum to review the patient case and write an Assessment and Plan.
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10 minutes
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Accuracy of Written Assessment and Plan in Terms of Control and Status
기간: 10 minutes
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Each participant had 10 minutes maximum to review the patient case and write an Assessment and Plan.
The primary outcome evaluated participants' recommendations for treatment of patient conditions.
Participants reviewed a total of 10 patient cases and received a score between 0 and 3 points for each issue within each patient case.
The final score for each participant was a proportion between 0 and 1.
The proportion represented the sum of all points assigned to the participant, divided by the total number of points possible.
Higher values on the scale represent greater accuracy of the written assessment and plan.
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10 minutes
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2차 결과 측정
결과 측정 |
측정값 설명 |
기간 |
|---|---|---|
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Identification of Planned Monitoring and Follow up Encounters in Assessment and Plan
기간: 10 minutes
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Each participant had 10 minutes maximum to review the patient case and write an Assessment and Plan. .
The secondary outcome evaluated participants' recommendation about future monitoring of patient conditions.
Participants reviewed a total of 10 patient cases and received a score of 0 or 1 point for each issue within each case.
The final score for each participant was a proportion between 0 and 1.
The proportion represented the sum of all points assigned to the participant, divided by the total number of points possible.
Higher values on the scale represent a greater proportion of appropriate monitoring recommendations made.
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10 minutes
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공동 작업자 및 조사자
여기에서 이 연구와 관련된 사람과 조직을 찾을 수 있습니다.
수사관
- 수석 연구원: Jonathan Nebeker, MD, MS, University of Utah
간행물 및 유용한 링크
연구에 대한 정보 입력을 담당하는 사람이 자발적으로 이러한 간행물을 제공합니다. 이것은 연구와 관련된 모든 것에 관한 것일 수 있습니다.
일반 간행물
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- Asch SM, McGlynn EA, Hogan MM, Hayward RA, Shekelle P, Rubenstein L, Keesey J, Adams J, Kerr EA. Comparison of quality of care for patients in the Veterans Health Administration and patients in a national sample. Ann Intern Med. 2004 Dec 21;141(12):938-45. doi: 10.7326/0003-4819-141-12-200412210-00010.
- Garg AX, Adhikari NK, McDonald H, Rosas-Arellano MP, Devereaux PJ, Beyene J, Sam J, Haynes RB. Effects of computerized clinical decision support systems on practitioner performance and patient outcomes: a systematic review. JAMA. 2005 Mar 9;293(10):1223-38. doi: 10.1001/jama.293.10.1223.
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- Morris AH. Developing and implementing computerized protocols for standardization of clinical decisions. Ann Intern Med. 2000 Mar 7;132(5):373-83. doi: 10.7326/0003-4819-132-5-200003070-00007.
- Fox J, Alabassi A, Black E, Hurt C, Rose T. Modelling clinical goals: a corpus of examples and a tentative ontology. Stud Health Technol Inform. 2004;101:31-45.
- Xiao Y, Hunter WA, Mackenzie CF, Jefferies NJ, Horst RL. Task complexity in emergency medical care and its implications for team coordination. LOTAS Group. Level One Trauma Anesthesia Simulation. Hum Factors. 1996 Dec;38(4):636-45. doi: 10.1518/001872096778827206.
- Nebeker JR, Hurdle JF, Bair BD. Future history: medical informatics in geriatrics. J Gerontol A Biol Sci Med Sci. 2003 Sep;58(9):M820-5. doi: 10.1093/gerona/58.9.m820.
- Hayward RA, Asch SM, Hogan MM, Hofer TP, Kerr EA. Sins of omission: getting too little medical care may be the greatest threat to patient safety. J Gen Intern Med. 2005 Aug;20(8):686-91. doi: 10.1111/j.1525-1497.2005.0152.x.
- Shekelle PG. Invited commentary: Implementation of health information technology: an important but challenging field of inquiry. Proc (Bayl Univ Med Cent). 2006 Oct;19(4):313. doi: 10.1080/08998280.2006.11928190. No abstract available.
- Weir CR, Nebeker JJ, Hicken BL, Campo R, Drews F, Lebar B. A cognitive task analysis of information management strategies in a computerized provider order entry environment. J Am Med Inform Assoc. 2007 Jan-Feb;14(1):65-75. doi: 10.1197/jamia.M2231. Epub 2006 Oct 26.
- Berg CA, Strough JN, Calderone KS, Sansone C, Weir C. The role of problem definitions in understanding age and context effects on strategies for solving everyday problems. Psychol Aging. 1998 Mar;13(1):29-44. doi: 10.1037//0882-7974.13.1.29.
- Weir CR. Linking information needs with evaluation: the role of task identification. Proc AMIA Symp. 1998:310-4.
- Taatz H. [The problem of the time factor in orthodontic treatment]. Stomatol DDR. 1976 Feb;26(2):102-5. No abstract available. German.
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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
2007년 10월 1일
기본 완료 (실제)
2011년 3월 1일
연구 완료 (실제)
2011년 3월 1일
연구 등록 날짜
최초 제출
2013년 1월 22일
QC 기준을 충족하는 최초 제출
2013년 2월 5일
처음 게시됨 (추정)
2013년 2월 8일
연구 기록 업데이트
마지막 업데이트 게시됨 (추정)
2016년 6월 23일
QC 기준을 충족하는 마지막 업데이트 제출
2016년 5월 17일
마지막으로 확인됨
2016년 5월 1일
추가 정보
이 연구와 관련된 용어
기타 연구 ID 번호
- 5R18HS017186-03 (미국 AHRQ 보조금/계약)
이 정보는 변경 없이 clinicaltrials.gov 웹사이트에서 직접 가져온 것입니다. 귀하의 연구 세부 정보를 변경, 제거 또는 업데이트하도록 요청하는 경우 register@clinicaltrials.gov. 문의하십시오. 변경 사항이 clinicaltrials.gov에 구현되는 즉시 저희 웹사이트에도 자동으로 업데이트됩니다. .
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