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  • 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)
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        • CMIS Pre Appointment Support & Population Based Scheduling (Eswatini)
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        • Differentiated Service Delivery Models Support in UgandaEMR
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    • During the Visit
      • Proactive Adherence Counselling Interventions
        • Missed Appointments Lists (Haiti)
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        • Predictive model for Interruption in Treatment in Patient Treatment Response Dashboard (Nigeria)
      • Reactive Adherence Counseling Interventions
        • Reactive Adherence Counseling (Haiti)
        • Adherence Dashboard (Kenya)
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        • 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
  • Countries: Kenya
  • Intervention Description
  1. HIV Treatment Continuity Technology Intervention Framework (TIF)
  2. Missed Appointment Interventions
  3. Missed Appointment Reminder

Patient Reminders and Tracking (Kenya)

FACES, Kenya (January 2021)

PreviousTwo-way Texting Patient reminders and tracking (Zimbabwe)NextEMR-ART Missed Appointment Reminder (Ethiopia)

Last updated 1 year ago

Countries: Kenya

Intervention Description

FACES and mHealth have presented the Ushauri project, where they proposed a mobile and web based platform for sending messages to patients on their appointment reminders, treatment adherence, and wellness. They provide appointment diaries to the providers and tracking modules to manage patient appointments at facility level. These applications are integrated into EMR, thus, resulting in improving retention rate.

Presenter: Vanessa Kithyoma (FACES and mHealth)

Intervention Details

Data Elements

Appointment Date (history)

Visit Date

Demographic details

Contact details

History of missed appointments

Lost to Follow Up

Reason for Missed Appointment.

Evidence

Figures show that from December 2019 to September 2020, the number of missed clients who were traced increased from 23% to 91% respectively.

Figures show that from December 2019 to September 2020 proportions of clients traced who returned to care increased from 94% to 97% respectively.

Nearly 361,097 clients are enrolled into Ushauri and 1M appointments were booked through it.

Technology Requirements / Interoperability

Ushauri can be used in facilities that use EMR and is easily integrated with other systems including Lab and Pharmacy dispensing systems through the Integration Layer (IL) .

Ushauri is also suitable for use in facilities that do not use EMR.

Calculations / Algorithms

Factors to Scale

Implementation Considerations

Literacy

Availability of phones

Language

Governance Considerations

Privacy issues (due to shared phones)

Link to presentation.