1 Introduction

1.1 Background

For electronic patient tracking system, each health facility compares selected variables in patient charts with the information stored in the database to measure concordance. The electronic patient tracking system reviews a representative sample of patient charts active on ART. Each subsequent assessment engages a convenience sample across select sub-populations (i.e. pediatric patients, TB con-infected patients, ANC patients etc.). This activity focuses on individual-level patient monitoring systems. Target concordance between patient charts and the assessment is 90%.

1.2 Objectives

  1. Evaluate the agreement of the existing data in the clinical process and the data in the electronic database.
  2. Evaluate the completeness of the data entered into the electronic database.

2 Methodology

2.1 Convenience Sample for Sub-Sequent EPTS-DQA

This assessment uses a convenience sample of 50 charts, from select sub-populations of patients, as follows:

  • 10 patients who received ART during a pre-natal consult (ANC)
  • 20 adult patients active on ART
  • 10 patients from the ART Aderence Community Groups
  • 5 pediatric patients on ART
  • 5 patients active on ART and also receiving TB treatment

3 Results

3.1 Plot of the Pressure Dataset

3.2 A table of the Cars Dataset

mpg cyl disp hp drat wt
Mazda RX4 21.0 6 160 110 3.90 2.620
Mazda RX4 Wag 21.0 6 160 110 3.90 2.875
Datsun 710 22.8 4 108 93 3.85 2.320
Hornet 4 Drive 21.4 6 258 110 3.08 3.215
Hornet Sportabout 18.7 8 360 175 3.15 3.440
Valiant 18.1 6 225 105 2.76 3.460