Study Results
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View full resultsBasic Information
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COMPLETED
NA
641 participants
INTERVENTIONAL
2023-09-01
2024-10-01
Brief Summary
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Detailed Description
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Conditions
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Study Design
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NA
SINGLE_GROUP
HEALTH_SERVICES_RESEARCH
NONE
Study Groups
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MI Patients in northern Tanzania
Patients presenting to KCMC emergency department with acute MI
Quality Improvement
A quality improvement intervention including reminders, care protocols, and text messages to improve care of myocardial infarction in the KCMC ED
Interventions
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Quality Improvement
A quality improvement intervention including reminders, care protocols, and text messages to improve care of myocardial infarction in the KCMC ED
Eligibility Criteria
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Inclusion Criteria
* symptoms related to acute coronary syndrome
* myocardial infarction
* clinically sober
* able to communicate in Swahili or English
Exclusion Criteria
* have a deteriorating condiction
* too critically ill to participate
18 Years
ALL
No
Sponsors
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Duke University
OTHER
Responsible Party
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Principal Investigators
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Julian Hertz, MD
Role: PRINCIPAL_INVESTIGATOR
Duke University Hospital
Locations
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Duke University Hospital
Durham, North Carolina, United States
Countries
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References
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Hertz JT, Sakita FM, Haukila KF, Shayo PS, Shayo FM, Willy J, Lameck G, Kisanga E, Bosworth HB, Bettger JP, Rahim FO. Acceptability and Feasibility of a Multicomponent Intervention to Improve Acute Myocardial Infarction Care in Northern Tanzania: the MIMIC Pilot Trial. medRxiv [Preprint]. 2024 Dec 16:2024.12.13.24319026. doi: 10.1101/2024.12.13.24319026.
Hertz JT, Sakita FM, Rahim FO, Mmbaga BT, Shayo F, Kaboigora V, Mtui J, Bloomfield GS, Bosworth HB, Bettger JP, Thielman NM. Multicomponent Intervention to Improve Acute Myocardial Infarction Care in Tanzania: Protocol for a Pilot Implementation Trial. JMIR Res Protoc. 2024 Sep 24;13:e59917. doi: 10.2196/59917.
Provided Documents
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Document Type: Study Protocol and Statistical Analysis Plan
Document Type: Informed Consent Form
Other Identifiers
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Pro00090902
Identifier Type: -
Identifier Source: org_study_id
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