VA Integrated Medication Manager (IMM)
17. mai 2016 oppdatert av: 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).
Studieoversikt
Status
Fullført
Forhold
Intervensjon / Behandling
Detaljert beskrivelse
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.
Studietype
Intervensjonell
Registrering (Faktiske)
58
Fase
- Ikke aktuelt
Kontakter og plasseringer
Denne delen inneholder kontaktinformasjon for de som utfører studien, og informasjon om hvor denne studien blir utført.
Studiesteder
-
-
Utah
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Salt Lake City, Utah, Forente stater, 84148
- VA SLC Health Care System
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Deltakelseskriterier
Forskere ser etter personer som passer til en bestemt beskrivelse, kalt kvalifikasjonskriterier. Noen eksempler på disse kriteriene er en persons generelle helsetilstand eller tidligere behandlinger.
Kvalifikasjonskriterier
Alder som er kvalifisert for studier
18 år og eldre (Voksen, Eldre voksen)
Tar imot friske frivillige
Ja
Kjønn som er kvalifisert for studier
Alle
Beskrivelse
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
Studieplan
Denne delen gir detaljer om studieplanen, inkludert hvordan studien er utformet og hva studien måler.
Hvordan er studiet utformet?
Designdetaljer
- Primært formål: Helsetjenesteforskning
- Tildeling: Randomisert
- Intervensjonsmodell: Parallell tildeling
- Masking: Ingen (Open Label)
Våpen og intervensjoner
Deltakergruppe / Arm |
Intervensjon / Behandling |
|---|---|
|
Eksperimentell: 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.
|
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.
Andre navn:
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Ingen inngripen: 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.
|
Hva måler studien?
Primære resultatmål
Resultatmål |
Tiltaksbeskrivelse |
Tidsramme |
|---|---|---|
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Amount of Time to Complete Assessment and Plan
Tidsramme: 10 minutes
|
Each participant had 10 minutes maximum to review the patient case and write an Assessment and Plan.
|
10 minutes
|
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Accuracy of Written Assessment and Plan in Terms of Control and Status
Tidsramme: 10 minutes
|
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
|
Sekundære resultatmål
Resultatmål |
Tiltaksbeskrivelse |
Tidsramme |
|---|---|---|
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Identification of Planned Monitoring and Follow up Encounters in Assessment and Plan
Tidsramme: 10 minutes
|
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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Samarbeidspartnere og etterforskere
Det er her du vil finne personer og organisasjoner som er involvert i denne studien.
Sponsor
Samarbeidspartnere
Etterforskere
- Hovedetterforsker: Jonathan Nebeker, MD, MS, University of Utah
Publikasjoner og nyttige lenker
Den som er ansvarlig for å legge inn informasjon om studien leverer frivillig disse publikasjonene. Disse kan handle om alt relatert til studiet.
Generelle publikasjoner
- Phillips LS, Branch WT, Cook CB, Doyle JP, El-Kebbi IM, Gallina DL, Miller CD, Ziemer DC, Barnes CS. Clinical inertia. Ann Intern Med. 2001 Nov 6;135(9):825-34. doi: 10.7326/0003-4819-135-9-200111060-00012.
- Crosson JC, Stroebel C, Scott JG, Stello B, Crabtree BF. Implementing an electronic medical record in a family medicine practice: communication, decision making, and conflict. Ann Fam Med. 2005 Jul-Aug;3(4):307-11. doi: 10.1370/afm.326.
- Tinetti ME, Bogardus ST Jr, Agostini JV. Potential pitfalls of disease-specific guidelines for patients with multiple conditions. N Engl J Med. 2004 Dec 30;351(27):2870-4. doi: 10.1056/NEJMsb042458. No abstract available.
- 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.
- Perlin JB, Pogach LM. Improving the outcomes of metabolic conditions: managing momentum to overcome clinical inertia. Ann Intern Med. 2006 Apr 4;144(7):525-7. doi: 10.7326/0003-4819-144-7-200604040-00012. No abstract available.
- 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.
- Campbell M, Grimshaw J, Steen N. Sample size calculations for cluster randomised trials. Changing Professional Practice in Europe Group (EU BIOMED II Concerted Action). J Health Serv Res Policy. 2000 Jan;5(1):12-6. doi: 10.1177/135581960000500105.
- Miller RH, Sim I. Physicians' use of electronic medical records: barriers and solutions. Health Aff (Millwood). 2004 Mar-Apr;23(2):116-26. doi: 10.1377/hlthaff.23.2.116.
- Bradley EH, Bogardus ST Jr, Tinetti ME, Inouye SK. Goal-setting in clinical medicine. Soc Sci Med. 1999 Jul;49(2):267-78. doi: 10.1016/s0277-9536(99)00107-0.
Studierekorddatoer
Disse datoene sporer fremdriften for innsending av studieposter og sammendragsresultater til ClinicalTrials.gov. Studieposter og rapporterte resultater gjennomgås av National Library of Medicine (NLM) for å sikre at de oppfyller spesifikke kvalitetskontrollstandarder før de legges ut på det offentlige nettstedet.
Studer hoveddatoer
Studiestart
1. oktober 2007
Primær fullføring (Faktiske)
1. mars 2011
Studiet fullført (Faktiske)
1. mars 2011
Datoer for studieregistrering
Først innsendt
22. januar 2013
Først innsendt som oppfylte QC-kriteriene
5. februar 2013
Først lagt ut (Anslag)
8. februar 2013
Oppdateringer av studieposter
Sist oppdatering lagt ut (Anslag)
23. juni 2016
Siste oppdatering sendt inn som oppfylte QC-kriteriene
17. mai 2016
Sist bekreftet
1. mai 2016
Mer informasjon
Begreper knyttet til denne studien
Nøkkelord
Andre studie-ID-numre
- 5R18HS017186-03 (U.S.A. AHRQ-stipend/kontrakt)
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