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Data Use Community
  • HIV Treatment Continuity Technology Intervention Framework (TIF)
    • Outside the Visit
      • Pre Appointment Support Interventions
        • QI-PM Pre Appointment Support
        • Pre-Appointment Reminders (Nigeria)
        • Pre-Appointment Support (South Sudan)
      • Population-Based Scheduling Interventions
        • CMIS Pre Appointment Support & Population Based Scheduling (Eswatini)
      • Congestion Redistribution
        • Lighthouse Trust's Community-based ART Retention and Suppression (CARES) App in Malawi
        • Differentiated Service Delivery Models Support in UgandaEMR
      • Pooling Patient Data
        • Unique Identity (Botswana)
        • Data Analysis and Visualizations (Tanzania)
      • Anticipatory Guidance
    • During the Visit
      • Proactive Adherence Counselling Interventions
        • Missed Appointments Lists (Haiti)
        • AI Predictive Adherence Counseling (South Africa)
        • Machine Learning to Predict Interruption in Treatment (Mozambique)
        • Predictive model for Interruption in Treatment in Patient Treatment Response Dashboard (Nigeria)
      • Reactive Adherence Counseling Interventions
        • Reactive Adherence Counseling (Haiti)
        • Adherence Dashboard (Kenya)
      • Visit Management Interventions
        • EMR Visit Management (Uganda)
    • Missed Appointment Interventions
      • Missed Appointment Reminder
        • Two-way Texting Patient reminders and tracking (Zimbabwe)
        • Patient Reminders and Tracking (Kenya)
        • EMR-ART Missed Appointment Reminder (Ethiopia)
        • Person-Centered Public Health for HIV Treatment (PCPH)
        • Missed Appointment Management (Western Kenya)
        • Rwanda Biomedical Center EMR (RBC EMR)
      • Intensive Outreach Intervention
        • Missed Appointments and Intensive Outreach (Kenya)
        • Patient Tracing (Ethiopia)
        • Identification of Missed Appointments (Malawi)
        • Missed Appointments and Intensive Outreach (Nigeria)
      • Targeted Adherence Support Interventions
        • Enhancing HIV Treatment Continuity: Innovations and Data Use in Kenya's Health Information Systems
  • Patient Identity Management Toolkit
    • Modules
      • Key Considerations in Matching
        • Background
        • Phase 1 - Planning and Analysis
        • Phase 2 - Implementation
        • Phase 3 - Review and Refine
        • Frequently Asked Questions (FAQ)
      • Matching with Biometrics
        • Overview
        • Role in Identity Management
        • Choosing Biometric Characteristics and Modalities
          • Reviewing Studies and Comparisons
          • Reviewing Standards and Guidelines
          • Additional Topics to Consider
        • Trends and Developments
          • Current Trends
          • Future Developments
        • Closing
        • References
        • Glossary
    • Learn from Others
      • Map of Country Implementations
      • Reaching Health Standards and Creating Client Registry in Haiti (2021)
      • Introduction to Biometrics for Patient Identity, Presented by Simprints (2022)
      • Utilizing Biometrics for Unique Patient Identification (UPID) in Côte d’Ivoire (2022)
      • Establishing a Unique Patient Identification (UPI) Framework in Kenya (2023)
      • Malawi Master Patient Index (2023)
      • Piloting a Patient Identity Management System (PIMS) in Haiti (2023)
      • Leveraging Biometrics to Scale a Patient Identity Management System (PIMS) in Nigeria (2023)
      • Leveraging Adaptive Machine Learning Algorithms for Patient Identification in Zimbabwe (2023)
      • OpenHIE23 Meeting in Malawi. Patient Identity Management Collaborative Hackathon. (2023)
      • Strengthening Patient Identity Management (PIM) by Integrating a Client Registry in Rwanda (2023)
      • Patient Identity Management Initiatives in Ethiopia (2023)
      • Patient Identity Management Initiatives in Botswana (2024)
    • References
  • How to Provide Feedback and Input on the TIF and Toolkit
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On this page
  • Introduction to the HIV Treatment Continuity Technology Intervention Framework (TIF)
  • HIV TIF Framework Overview and Structure
  • TIF Layers
  • Layer 1 - Touchpoint Interventions as noted in the diagram above occur in the follow points of the visit cycle:
  • Layer 2 - Intervention Categories
  • Layer 3 - Technology Intervention Descriptions
  • More about the HIV TIF
  • Examples of Technology Interventions
  • Conclusion

HIV Treatment Continuity Technology Intervention Framework (TIF)

v0.4

NextOutside the Visit

Last updated 7 months ago

This document is a work in progress. The interactions described are a moment in time snapshot of the interventions that are being used to help HIV patients stay in treatment. To provide input or feedback see How to Provide Feedback and Input on the TIF and Toolkit

Introduction to the HIV Treatment Continuity Technology Intervention Framework (TIF)

Welcome to the HIV Treatment Continuity Technology Intervention Framework (TIF). This document provides an overview of various technology-driven interventions designed to enhance the continuity of HIV treatment, including examples from multiple countries. By leveraging data and digital tools, these interventions aim to help ensure patients remain engaged in their HIV care, ultimately contributing to better health outcomes. The framework serves as a dynamic, evolving resource that captures a snapshot of interventions being employed globally to support HIV treatment retention. It includes detailed examples from countries such as Nigeria, Kenya, Uganda, South Sudan, Eswatini, Botswana, and several others, illustrating how different regions adapt technology to their unique healthcare landscapes.

HIV TIF Framework Overview and Structure

The TIF is organized into three layers that provide a structured approach to cataloging and understanding technology interventions:

TIF Layers

The TIF is designed to support layers of information pertaining to the technology interventions.

Layer 1 - Touchpoint Interventions as noted in the diagram above occur in the follow points of the visit cycle:

Strategies implemented before the patient arrives at a health facility, such as appointment reminders and pre-visit support.

Interventions occurring during the patient’s interaction with the healthcare system, like visit management tools and adherence counseling.

Approaches to re-engage patients who have missed appointments, including outreach and follow-up reminders.

Touchpoint

interaction between parties involved in care delivery. It is part of the care/clinical process.

Patient Touchpoint: the care system ←→ patient

System Touchpoint: the care system ←→ other members of the system

Layer 2 - Intervention Categories

This layer groups similar interventions together, enabling easy comparison and analysis across different settings. Examples include population-based scheduling, congestion redistribution, and anticipatory guidance.

Layer 3 - Technology Intervention Descriptions

Intervention

specific approach using data/HIT to support touchpoint. Examples: paper register, SMS message, decision support reminder, phone call.

We want to understand data approaches to the care process

More about the HIV TIF

The TIF is more than just a catalog of interventions; it is a tool for understanding how digital and data-driven approaches are being implemented across various settings. It allows stakeholders to compare and contrast different interventions, identify trends, and synthesize practice-based evidence. By using a common framework, the TIF facilitates a shared understanding among implementers, helping to surface best practices and areas for improvement.

However, it is important to note what the TIF is not. It does not attempt to describe the entire HIV care cascade or serve as a formal conceptual model. Rather, it focuses specifically on technology interventions and their role in supporting HIV treatment continuity.

Examples of Technology Interventions

Throughout the document, you will find detailed examples of interventions from different countries:

These examples highlight the diversity and creativity in how different regions approach the challenge of maintaining HIV treatment continuity.

Conclusion

Each intervention is described in detail, offering a snapshot of the technology used, its implementation context, and specific characteristics. For instance, you will find descriptions of interventions like and , showcasing the diverse ways technology is used to support treatment continuity.

: An SMS reminder system integrated with patient appointment lists to ensure patients attend their scheduled visits.

: A system that tracks patients across the continuum of care, helping providers manage patient data effectively.

: Tools that provide detailed insights into HIV care and treatment data, enabling better decision-making at the national level.

: Automated systems for tracking and re-engaging patients who have missed appointments, improving retention rates.

The HIV Treatment Continuity Technology Intervention Framework (TIF) is an essential resource for anyone involved in the design, implementation, or evaluation of digital health interventions for HIV care. By providing a structured overview of current practices and detailed case studies from around the world, the TIF helps to foster a deeper understanding of how technology can be leveraged to keep patients engaged in their treatment and care. We invite you to explore the examples provided, , and consider how these interventions can be adapted or scaled in your context.

SMS reminders in Nigeria
data visualization in Tanzania
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Outside the Visit
During the Visit
When an Appointment is Missed
Pre-Appointment Support in Nigeria
EMR Development in South Sudan
Data Analysis and Visualizations in Tanzania
Missed Appointment Management in Kenya