Gathering Records to Evaluate Antiretroviral Treatment-Malawi ( GREAT )

NCT ID: NCT04158895

Last Updated: 2025-11-17

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

RECRUITING

Total Enrollment

1000000 participants

Study Classification

OBSERVATIONAL

Study Start Date

2019-12-01

Study Completion Date

2027-12-31

Brief Summary

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To achieve global goals for the treatment of HIV, most high-prevalence countries are experimenting with and scaling up differentiated service delivery models (DSD). A handful of efforts have been formally described and evaluated in the literature; many others are being implemented formally or informally under routine care, without a research or evaluation goal. For most countries, however, we have little evidence on the big picture-the proportion of clinics offering alternative models, eligibility criteria and the proportion of patients considered eligible, the number of patients actually participating, health outcomes such as viral suppression, empirical resource utilization compared to traditional care, variations among the models, duration of patient participation, fidelity to model guidelines, effects on clinic efficiency, and sustainability without external donor support.

AMBIT is a set of data synthesis, data collection, and data analysis activities aimed at generating information for near- and long-term decision making and creating an approach and platform for ongoing evaluation of differentiated models of HIV treatment delivery in the future. The project will collect and analyze a wide range of existing data sets pertinent to DSD. This protocol is for an analysis of existing medical record data collected by the Ministry of Health, implementing partners, and other completed, ongoing, or new evaluations, trials, and observational studies. Outcomes to be reported include coverage/uptake of DSD, patients' outcomes, and distribution of each model. There will be no study interaction with individual patients, providers, caregivers, or others for this analysis.

Detailed Description

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Conditions

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HIV

Study Design

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Observational Model Type

COHORT

Study Time Perspective

PROSPECTIVE

Study Groups

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Patients enrolled in differentiated service delivery models

Routine medical record data collection

Intervention Type OTHER

The study will collect routine medical record data from the electronic medical record system, other electronic databases, and paper charts.

Patients not enrolled in DSD models

Routine medical record data collection

Intervention Type OTHER

The study will collect routine medical record data from the electronic medical record system, other electronic databases, and paper charts.

Interventions

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Routine medical record data collection

The study will collect routine medical record data from the electronic medical record system, other electronic databases, and paper charts.

Intervention Type OTHER

Eligibility Criteria

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Inclusion Criteria

* ≥ 15 years old
* Patients accessing care for HIV within the data collection period
* In any HIV transmission risk group

Exclusion Criteria

* None
Minimum Eligible Age

15 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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Bill and Melinda Gates Foundation

OTHER

Sponsor Role collaborator

University of Witwatersrand, South Africa

OTHER

Sponsor Role collaborator

Clinton Health Access Initiative Inc.

OTHER

Sponsor Role collaborator

Boston University

OTHER

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Principal Investigators

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Sydney B Rosen

Role: STUDY_DIRECTOR

Boston University School of Pubic Health

Locations

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All clinics

Lilongwe, , Malawi

Site Status RECRUITING

Countries

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Malawi

Central Contacts

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Sydney B Rosen

Role: CONTACT

6173582251

Lawrence Long

Role: CONTACT

6173583122

Facility Contacts

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Sophie Pascoe

Role: primary

+27 (10)001-7930

Other Identifiers

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H-38822

Identifier Type: -

Identifier Source: org_study_id

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