Minimum Measurements for Epidemiologic Analyses

 

The minimum set of measurements that are required to make a clinic-based experience epidemiologically understood are easily accessible in health facilities as shown in Table 1. Patient identifiers, date of ART initiation and dates of all visits are enough to enumerate the cohort, estimate ART access and identify patients lost-to-follow-up. Addition of common measurements such as socio-demographic characteristics (age, sex, baseline WHO stage, etc.), clinic structures (availability of TB diagnostics, distance from home to clinic, etc.) can provide cross-sectional understanding of the clinic population. Most of these factors are time-invariant, and retrievable because they were routinely measured and recorded at the health facilities in the course of clinical care.

1: Minimum Measurements Required for Epidemiologic Analyses

Priority

Measurements

Parameters that Can be Estimated

Tier 1:

Enumerates the cohort and estimates elementary descriptive statistics

 

Patient Identifier

ART initiation date

Visit dates

Time zero characteristics of a cohort

Number of patients accessing care

Number of patients starting ART

Number of patients LTFU

Tier 2:

Cross-sectional characteristics of patients

Patient Age

Patient Sex

Patient Height and Weight

Pre-ART CD4-T-cell count (if applicable)

Pre-ART WHO stage classification

Enrollment date into HIV Care and Treatment Program

ART initiation date (if applicable)

All clinic visits dates

Description of patient characteristics at time of engagement in care

Factors associated with clinical presentation

Associations between clinical characteristics at time of presentation

Tier 3:

Characterise and describe structural level predictors

Stock out dates

Availability of CD4 or viral load testing

Description of program characteristics

Tier 4:

Sampling-based Outcomes

Survival & retention in care

ART initiation among those not on ART

Presence of outcomes obtained through sampling can initiate epidemiologic analyses to identify the causes of mortality and retention in care