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PEPFAR eTracker VIH

Origin language: French
Cover image
Target population
Men , +9
Beneficiaries50001 - 100K
EvidenceQuantitative evidence
Start date2021/01
End dateOngoing
StageRoutine project/operational
Country
Benin
Coverage
Regional
Nb of implementation sites
42
Lead organization
Implementation partners

Health Focus Area
Sexual and Reproductive Health
Others
Primary Health Care
Health promotion
Maternal and child health
Communicable diseases
Services
Electronic medical record
Predictive health and early diagnosis
Diagnostics
Public health and disease surveillance
Enabling technologies
Big Data Analytics
Software
Cloud Computing
Standards
Excel
JSON
Statistical data and metadata exchange
SNOMED
HL7 FHIR
Tools
Funding sources
Government funds
Donors
Business model
No business model
Funders
Summary
E-tracker is a DHIS2 application designed to convert aggregated health data into individual-level information. This tool overcomes the limitations of the Health Management Information System (HMIS), which does not allow for detailed patient tracking. By improving the monitoring of patients living with HIV at the facility and community levels, E-tracker collects patient-specific data, assigning each patient a unique identifier for effective monitoring. The health areas covered include sexual and reproductive health, maternal and child health, communicable diseases, and health promotion.
Keywords
Patient follow up
Patient data collection and case management
Data collecting and reporting tool
Hiv
Health facilities
Publications
Insights - Lessons learnt
Challenges

The Tracker requires a more reliable internet connection than the aggregated module.frequent outages lead to synchronization failures and loss of data being entered.

Prolonged power outages without backup systems (UPS, solar) and a lack of maintenance for computers or tablets are slowing down adoption.

The server may experience slowdowns ("Bad Gateway”), discouraging users who then have to work late at night or early in the morning.

Trained staff are often transferred, which requires an ongoing training effortto prevent the tool from being abandoned.

Without a robust unique identifier (e.g., National Patient Identifier, NPI), it is difficult to reconcilerecords of patients who change facilities, which skews retention indicators.

Recommendations

Collect only the data strictly necessary for care and reporting indicators. Everyunnecessary field increases the risk of error and the time required for data entry.

Set up automatic alerts and hide irrelevant sections to guide the user and reducecognitive load.

Best practice is to enter data during the consultation. This eliminates double entry (paper then digital) and allows the clinician to use the system’s alerts in real time.

In areas with unstable connectivity, opt for the mobile app that enables offline data entry and automatic synchronization as soon as a network is detected.

Implement weekly routines for deduplication and correction of outlier data

Ensure that screens are not visible to the public and thatsessions close automatically after a period of inactivity.

Create simple visualizations for each site (e.g., graph of expected vs. actual patients today, site viral load clearance rate).

Use the lists generated by the Tracker (e.g., list of alerts for high viral load) as a basis for discussions among the care team.

Recommendations
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Any additional questions?
iDHA (Project ID)
zj6aa9
Project links
https://suivi-pvv.gouv.bj/
Origin of information
Project stakeholder
Data source link
N/A
Added to the platform on
2024-11-11
Project editors
Last update by
Gildas Fiacre KEDALO on 2026-03-28
Number of views
257
WHO classifications
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