Missed Appointments Lists (Haiti)

I-TECH, Haiti (February 2021)

Countries: Haiti

Intervention Description

A reporting tool that allows providers to see lists of patients that have missed or due for appointments, viral load testing, or medications.

Presenter: Nancy Puttakammer, I-TECH

DUC Meeting Recording

Intervention Details

Data Elements	Appointment Date (history) Visit Date Proportion of days covered based on dispensing (changed with COVID) Sex Age Marital status Time from HIV diagnosis to enrollment in HIV care and treatment Time from HIV diagnosis to ART initiation Baseline CD4 count Body mass index World Health Organization (WHO) Stage of HIV disease progression ART regimen
Evidence	Puttkammer N, Simoni JM, Sandifer T, et al. An EMR-Based Alert with Brief Provider-Led ART Adherence Counseling: Promising Results of the InfoPlus Adherence Pilot Study Among Haitian Adults with HIV Initiating ART. AIDS Behav 2020. PMID: 32715409
Technology Requirements / Interoperability	Can work in EHR Interest in exchange of risk information with community health worker tool/app
Calculations / Algorithms	Risk level using data elements at left
Factors to Scale	Need to implement within OpenMRS-based EMR Prediction model needs refreshing as conditions change
Implementation Considerations	Most helpful when using EHR at the point-of-care Will need to be re-implemented with OpenMRS rollout Threshold of data quality needed (being investigated) Prediction models needed to be revisited
Maturity Level	Early proof of concept: showed health worker interest in prediction-based model
Governance Considerations	Clinical determination of who is at risk Need governance (what sensitivity and specificity of prediction is adequate; whether it’s suitable to implement in all facilities using EMR or only sites with sufficient data quality)