Quality IQ Patient Simulation Physician Practice Measurement and Engagement

NCT ID: NCT03800901

Last Updated: 2020-03-03

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

COMPLETED

Clinical Phase

NA

Total Enrollment

187 participants

Study Classification

INTERVENTIONAL

Study Start Date

2019-01-11

Study Completion Date

2019-04-15

Brief Summary

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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.

Detailed Description

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Primary care providers (PCPs) make many of the most important care decisions, especially for patients with chronic conditions and multiple co-morbidities. Studies have confirmed that unwarranted variation is common among PCPs, with high level of variation in care documented between urban and rural practices, across regions, and even among providers within a single healthcare system.

The investigators' previous work has shown that patient simulations can rapidly and reliably measure unwarranted practice variation among providers. In addition, published work shows that patient simulations, when administered serially and combined with customized feedback on improvement opportunities can reduce practice variation and improve performance on patient-level quality measures. Given the large scope of unwarranted variation in medical practice, there is a need for scalable approaches to measure care decisions, provide feedback on improvement opportunities and benchmark performance to peers.

This study seeks to evaluate the impact of measurement, feedback and competition on evidence-based care decisions made by primary care providers across the country. It is a randomized, controlled trial with multiple measurements across key domains of clinical care. All participants are asked to care for simulated patients designed to look like 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.

All participants will receive the following interventions:

* Feedback on care decisions made in each Quality IQ case, which will identify correct care, unneeded care, or gaps in care. This feedback will recommend or reinforce evidence-based care decisions and includes references.
* All cases will be scored against evidence-based criteria. For each case, providers will start with 100 base points. Correct care decisions will add to that total, while unnecessary care decisions will subtract from that total. A weekly leaderboard will be posted online, allowing participants to see how they are performing relative to their peers across the country. Participants will have the opportunity to select a unique username or an anonymous user ID to be identified on the leaderboard, to maintain anonymity.

Half of the recruits will be offered Category I CME credit approved by The University of California, San Francisco School of Medicine (UCSF) which has been accredited by the Accreditation Council of Continuing Medical Education to provide CME for physicians and MOC points in the ABIM's MOC program.

Conditions

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Diabetes Hypertension Depression Osteoarthritis Asthma Pain Heart Failure

Study Design

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Allocation Method

RANDOMIZED

Intervention Model

PARALLEL

The study will enroll practicing PCPs in the US. Once eligibility is determined and providers are enrolled in the study, they will be randomized into one of two arms:

* Control: will not be offered CME or ABIM MOC credits for their participation.
* CME Arm: will be offered CME or ABIM MOC credits for their participation. Between the two arms, all other aspects of the study will remain constant.

All providers will then care for 1 Quality IQ patient simulation each week over the course of 6-8 weeks.
Primary Study Purpose

HEALTH_SERVICES_RESEARCH

Blinding Strategy

SINGLE

Participants
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.

Study Groups

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Control

The 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.

Group Type ACTIVE_COMPARATOR

Quality IQ Patient Simulations

Intervention Type OTHER

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.

CME

The 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.

Group Type EXPERIMENTAL

Continuing Medical Education

Intervention Type OTHER

CME or ABIM MOC credits

Quality IQ Patient Simulations

Intervention Type OTHER

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.

Interventions

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Continuing Medical Education

CME or ABIM MOC credits

Intervention Type OTHER

Quality IQ Patient Simulations

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.

Intervention Type OTHER

Other Intervention Names

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CME Clinical Performance and Value vignettes CPVs

Eligibility Criteria

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Inclusion Criteria

1. Board-certified in internal medicine or family medicine
2. Minimum patient panel size of 1,500 patients
3. English-speaking
4. Access to the internet
5. Informed, signed and voluntarily consented to be in the study

Exclusion Criteria

1. Not board certified in either internal medicine or family medicine
2. Patient panel size less than 1,500 patients
3. Non-English speaking
4. Unable to access the internet
5. Does not voluntarily consent to be in the study
Eligible Sex

ALL

Accepts Healthy Volunteers

Yes

Sponsors

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CE Outcomes

UNKNOWN

Sponsor Role collaborator

Qure Healthcare, LLC

INDUSTRY

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Principal Investigators

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John Peabody, MD, PhD

Role: PRINCIPAL_INVESTIGATOR

QURE Healthcare

Locations

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QURE Healthcare

San Francisco, California, United States

Site Status

Countries

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United States

References

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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.

Reference Type BACKGROUND
PMID: 30328782 (View on PubMed)

Weigel 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.

Reference Type BACKGROUND
PMID: 26376210 (View on PubMed)

Peabody 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.

Reference Type BACKGROUND
PMID: 10755498 (View on PubMed)

Peabody 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.

Reference Type BACKGROUND
PMID: 15545677 (View on PubMed)

Burgon 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.

Reference Type DERIVED
PMID: 34941547 (View on PubMed)

Other Identifiers

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01-QIQ-K-2018

Identifier Type: -

Identifier Source: org_study_id

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