An Evaluation of the Michigan State Innovation Model in Washtenaw and Livingston Counties
NCT ID: NCT03293160
Last Updated: 2020-05-20
Study Results
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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COMPLETED
300 participants
OBSERVATIONAL
2017-11-01
2019-12-31
Brief Summary
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Detailed Description
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The present study therefore is the second of two related projects - the first is the CHRT-administered random assignment and enrollment of patients into care management services. The present study is a secondary analysis of the data produced by the first project.
This Protocol Registration and Results submission refers to the secondary analysis component wherever applicable, and where not applicable, describes the information relevant to the CHRT project. For example, while the present study does not assign anyone into treatment or control groups, the Sample Description indicates "Probability Sample" to describe the way in which CHRT intends to enroll patients.
Conditions
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Study Design
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COHORT
OTHER
Study Groups
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Treatment group
The set of patients in the sample who are offered enrollment in care management services.
Care management services
Patients who receive care management services will interact with a care manager who will take an inventory of the patient's needs (including social determinants of health such as housing) and provide guidance about available social supports and clinical resources.
Control group
The set of patients in the sample who are not initially offered enrollment in care management services (will be offered enrollment after six months).
No interventions assigned to this group
Interventions
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Care management services
Patients who receive care management services will interact with a care manager who will take an inventory of the patient's needs (including social determinants of health such as housing) and provide guidance about available social supports and clinical resources.
Eligibility Criteria
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Inclusion Criteria
2. Have a probability of being admitted to an emergency department (ED) in Washtenaw or Livingston counties that exceeds a threshold value in a predictive model;
Exclusion Criteria
2. Patient declines to consent
ALL
No
Sponsors
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Center for Healthcare Research and Transformation
UNKNOWN
Community Foundation of Southeast Michigan
UNKNOWN
University of Michigan
OTHER
Responsible Party
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Brady Post
Graduate Student Research Assistant
Principal Investigators
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Marianne Udow-Phillips, MHSA
Role: STUDY_DIRECTOR
Center for Healthcare Research & Transformation
Locations
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Center for Healthcare Research & Transformation
Ann Arbor, Michigan, United States
Countries
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References
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Post B, Lapedis J, Singh K, Valenstein P, Buyuktur AG, Teske K, Ryan AM. Predictive Model-Driven Hotspotting to Decrease Emergency Department Visits: a Randomized Controlled Trial. J Gen Intern Med. 2021 Sep;36(9):2563-2570. doi: 10.1007/s11606-021-06664-1. Epub 2021 Mar 10.
Other Identifiers
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HUM00133309
Identifier Type: -
Identifier Source: org_study_id
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