- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT01634802
Evaluation of Use of Clinical Decision Support System in HIV Care in Resource Constrained Settings (CDSS)
July 5, 2012 updated by: Tom Oluoch, Kenya Medical Research Institute
Evaluation of Use of Clinical Decision Support System for Early Detection of Immunological Treatment Failure Among HIV Patients in Resource Constrained Settings
The purpose of this study is to determine whether the use of a Computerized Decision Support System (CDSS) in form of alerts to clinicians enhances early detection of immunological treatment failure in HIV patients.
Study Overview
Detailed Description
We hypothesize that there is no difference in the time to detecting immunological treatment failure among HIV patients in resource poor settings whether the clinicians use an Electronic Medical Record (EMR) system with a Computerized Decision Support (CDSS) or an EMR without a CDSS.
In this study, 20 clinics were assigned to the intervention (EMR+CDSS) arm and non-intervention arm (EMR only) and will be followed up for 12 months to assess whether there are any differences in time taken to detect immunological treatment failure based on CD4 cell count.
Study Type
Interventional
Enrollment (Anticipated)
1460
Phase
- Not Applicable
Contacts and Locations
This section provides the contact details for those conducting the study, and information on where this study is being conducted.
Study Locations
-
-
Nyanza
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Kisumu, Nyanza, Kenya
- KEMRI/CDC Clinical Research Center
-
-
Participation Criteria
Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.
Eligibility Criteria
Ages Eligible for Study
1 year and older (ADULT, OLDER_ADULT, CHILD)
Accepts Healthy Volunteers
No
Genders Eligible for Study
All
Description
Inclusion Criteria:
- All HIV patients enrolled in participating clinics
Study Plan
This section provides details of the study plan, including how the study is designed and what the study is measuring.
How is the study designed?
Design Details
- Primary Purpose: SUPPORTIVE_CARE
- Allocation: RANDOMIZED
- Interventional Model: PARALLEL
- Masking: SINGLE
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
|---|---|
|
NO_INTERVENTION: EMR Only
Clinics in this arm of the study will have a standard Electronic Medical Record (EMR) system installed - without a computerized decision support system.
|
Clinics in this arm of the study will have a standard Electronic Medical Record (EMR) system installed - without a computerized decision support system.
|
|
EXPERIMENTAL: EMR+CDSS
Clinics in this arm of the study will have an Electronic Medical Record (EMR) system with Clinical Decision Support System (CDSS) enhancement implemented as alerts to aid the clinician in decision making.
|
Clinics in this arm of the study will have an Electronic Medical Record (EMR) system with Clinical Decision Support System (CDSS) enhancement implemented as alerts to aid the clinician in decision making.
Other Names:
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Time Frame |
|---|---|
|
The main end-point of the study will be the proportion of patients on treatment who have experienced treatment failure and appropriate clinical action taken according to the guidelines.
Time Frame: 12 months
|
12 months
|
Secondary Outcome Measures
Outcome Measure |
Time Frame |
|---|---|
|
Other outcome measures will be the proportion of CD4 cell counts done on time and proportion of pre-ART patient eligible for treatment that are initiated within 30 days of eligibility. The median time taken to clinical action will be measured.
Time Frame: 12 months
|
12 months
|
Collaborators and Investigators
This is where you will find people and organizations involved with this study.
Sponsor
Investigators
- Principal Investigator: Tom Oluoch, MSc, Centers for Disease Control and Prevention
- Principal Investigator: Daniel Kwaro, MD, KEMRI-CDC
Publications and helpful links
The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.
General Publications
- Oluoch T, Cornet R, Muthusi J, Katana A, Kimanga D, Kwaro D, Okeyo N, Abu-Hanna A, de Keizer N. A clinical decision support system is associated with reduced loss to follow-up among patients receiving HIV treatment in Kenya: a cluster randomized trial. BMC Med Inform Decis Mak. 2021 Dec 20;21(1):357. doi: 10.1186/s12911-021-01718-0.
- Oluoch T, Katana A, Kwaro D, Santas X, Langat P, Mwalili S, Muthusi K, Okeyo N, Ojwang JK, Cornet R, Abu-Hanna A, de Keizer N. Effect of a clinical decision support system on early action on immunological treatment failure in patients with HIV in Kenya: a cluster randomised controlled trial. Lancet HIV. 2016 Feb;3(2):e76-84. doi: 10.1016/S2352-3018(15)00242-8. Epub 2015 Dec 17.
Study record dates
These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.
Study Major Dates
Study Start
August 1, 2012
Primary Completion (ANTICIPATED)
August 1, 2013
Study Completion (ANTICIPATED)
December 1, 2013
Study Registration Dates
First Submitted
July 3, 2012
First Submitted That Met QC Criteria
July 5, 2012
First Posted (ESTIMATE)
July 6, 2012
Study Record Updates
Last Update Posted (ESTIMATE)
July 6, 2012
Last Update Submitted That Met QC Criteria
July 5, 2012
Last Verified
July 1, 2012
More Information
Terms related to this study
Keywords
Other Study ID Numbers
- 2073
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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