Quality IQ Patient Simulation Physician Practice Measurement and Engagement
Q-IQ
1 other identifier
interventional
187
1 country
1
Brief Summary
This study will test the quality of physician care decisions using a patient-simulation based measurement and feedback approach that combines multiple-choice care decisions with real-time, personalized scoring and feedback. The study will also measure the impact of gaming-inspired competition and motivation, including a weekly leaderboard, to improve evidence-based care decisions. In addition, the study the test the impact of CME and MOC credits on participant engagement in the process.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P50-P75 for not_applicable diabetes
Started Jan 2019
Shorter than P25 for not_applicable diabetes
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
January 4, 2019
CompletedFirst Posted
Study publicly available on registry
January 11, 2019
CompletedStudy Start
First participant enrolled
January 11, 2019
CompletedPrimary Completion
Last participant's last visit for primary outcome
March 11, 2019
CompletedStudy Completion
Last participant's last visit for all outcomes
April 15, 2019
CompletedMarch 3, 2020
March 1, 2020
2 months
January 4, 2019
March 2, 2020
Conditions
Outcome Measures
Primary Outcomes (1)
Change in the percentage of evidence-based diagnostic and treatment decisions made in the simulations.
In each case, participants will answer multiple-choice questions about their preferred course of action to work-up, diagnose and treat patients in the primary care setting. Each question has specific evidence-based scoring criteria identifying necessary and unnecessary care decisions. Each provider will get a score for each case, ranging from 0 to 100 percentage based on the care decisions they make in the case. Over the course of the project, the investigators will track the percentage of correct, evidence-based care decisions made by participants, with the hypothesis that serial measurement and feedback on evidence-based care decisions will lead to increases in appropriate decisions over time. Higher scores represent a better outcome.
3 months
Secondary Outcomes (6)
Change in MIPS-relevant care decisions made in the patient simulations
3 months
Change in ordering of unneeded work-up tests made in the patient simulations
3 months
Participant case completion rate
3 months
Participant Satisfaction
3 months
Impact of available CME and ABIM MOC on recruitment rate
3 months
- +1 more secondary outcomes
Study Arms (2)
Control
ACTIVE COMPARATORThe Control arm will be asked to care for online, Quality IQ patient simulations and will receive feedback based on their care decisions made in each case. The feedback will identify correct care, unneeded care, or gaps in care and recommend or reinforce evidence-based care decisions and includes references. This arm will not be offered Continuing Medical Education (CME) or American Board of Internal Medicine (ABIM) Part II Maintenance of Certification (MOC) credits for their participation.
CME
EXPERIMENTALThe CME arm will be asked to care for online, Quality IQ patient simulations and will receive feedback based on their care decisions made in each case. The feedback will identify correct care, unneeded care, or gaps in care and recommend or reinforce evidence-based care decisions and includes references. This arm will be offered Continuing Medical Education (CME) and American Board of Internal Medicine (ABIM) Part II Maintenance of Certification (MOC) credits for their participation.
Interventions
Online patient cases designed to simulate typical patients seen in a primary care practice. In each case, providers will answer multiple-choice questions about their preferred course of action to work-up, diagnose and treat patients in the primary care setting. After each question, providers will receive evidence-based feedback, including references, on the appropriateness of each of their care decisions. Feedback will be supported with relevant reference to evidence-based guidelines, including national MIPS quality measures. Cases will cover clinical conditions aligned with MIPS measures that are commonly seen in the primary care setting including: diabetes, hypertension, depression, osteoarthritis, asthma and pain control.
Eligibility Criteria
You may qualify if:
- Board-certified in internal medicine or family medicine
- Minimum patient panel size of 1,500 patients
- English-speaking
- Access to the internet
- Informed, signed and voluntarily consented to be in the study
You may not qualify if:
- Not board certified in either internal medicine or family medicine
- Patient panel size less than 1,500 patients
- Non-English speaking
- Unable to access the internet
- Does not voluntarily consent to be in the study
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- Qure Healthcare, LLClead
- CE Outcomescollaborator
Study Sites (1)
QURE Healthcare
San Francisco, California, 94109, United States
Related Publications (5)
Burgon TB, Cox-Chapman J, Czarnecki C, Kropp R, Guerriere R, Paculdo D, Peabody JW. Engaging Primary Care Providers to Reduce Unwanted Clinical Variation and Support ACO Cost and Quality Goals: A Unique Provider-Payer Collaboration. Popul Health Manag. 2019 Aug;22(4):321-329. doi: 10.1089/pop.2018.0111. Epub 2018 Oct 17.
PMID: 30328782BACKGROUNDWeigel PA, Ullrich F, Shane DM, Mueller KJ. Variation in Primary Care Service Patterns by Rural-Urban Location. J Rural Health. 2016 Spring;32(2):196-203. doi: 10.1111/jrh.12146. Epub 2015 Sep 16.
PMID: 26376210BACKGROUNDPeabody JW, Luck J, Glassman P, Dresselhaus TR, Lee M. Comparison of vignettes, standardized patients, and chart abstraction: a prospective validation study of 3 methods for measuring quality. JAMA. 2000 Apr 5;283(13):1715-22. doi: 10.1001/jama.283.13.1715.
PMID: 10755498BACKGROUNDPeabody JW, Luck J, Glassman P, Jain S, Hansen J, Spell M, Lee M. Measuring the quality of physician practice by using clinical vignettes: a prospective validation study. Ann Intern Med. 2004 Nov 16;141(10):771-80. doi: 10.7326/0003-4819-141-10-200411160-00008.
PMID: 15545677BACKGROUNDBurgon T, Casebeer L, Aasen H, Valdenor C, Tamondong-Lachica D, de Belen E, Paculdo D, Peabody J. Measuring and Improving Evidence-Based Patient Care Using a Web-Based Gamified Approach in Primary Care (QualityIQ): Randomized Controlled Trial. J Med Internet Res. 2021 Dec 23;23(12):e31042. doi: 10.2196/31042.
PMID: 34941547DERIVED
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
John Peabody, MD, PhD
QURE Healthcare
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- SINGLE
- Who Masked
- PARTICIPANT
- Masking Details
- The Control arm, who are not offered CME or ABIM MOC credits for their participation, will be unaware of the interventional CME arm. The CME arm will also be unaware of the Control arm. Per recommendations from the IRB, all participants at the end of the study will receive a study debrief letter informing them of the other study arms.
- Purpose
- HEALTH SERVICES RESEARCH
- Intervention Model
- PARALLEL
- Sponsor Type
- INDUSTRY
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
January 4, 2019
First Posted
January 11, 2019
Study Start
January 11, 2019
Primary Completion
March 11, 2019
Study Completion
April 15, 2019
Last Updated
March 3, 2020
Record last verified: 2020-03
Data Sharing
- IPD Sharing
- Will not share
No individual participant data will be shared with other researchers. Analysis will be conducted at the aggregate group level.