Related Experiment Video
Updated: Jan 3, 2026

23:56
Comprehensive & Cost Effective Laboratory Monitoring of HIV/AIDS: an African Role Model
Published on: October 31, 2010
17.0K
A meta-analysis approach for estimating average unit costs for ART using pooled facility-level primary data from
Diego Cerecero-García1, Carlos Pineda-Antunez1, Lily Alexander2
1National Institute of Public Health, Cuernavaca, Mexico.
African Journal of AIDS Research : AJAR
|November 30, 2019
Summary
The average cost for HIV services in Africa is $251 per patient, with antiretroviral drugs being the largest expense. Costs vary significantly by facility and patient volume.
Area of Science:
- Health Economics
- Public Health
- HIV/AIDS Research
Background:
- Estimating the cost of Antiretroviral Therapy (ART) services is crucial for effective HIV/AIDS program planning and resource allocation.
- Significant variations in ART service costs exist across different healthcare facilities and countries in Africa.
- Standardizing cost data from diverse studies is challenging but necessary for reliable analysis.
Purpose of the Study:
- To estimate the average facility-level cost for ART services in Africa.
- To analyze the unit cost variations of ART services based on facility-level data.
- To provide evidence for funders and policymakers involved in HIV intervention scale-up.
Main Methods:
- Conducted a literature search to identify relevant facility-level cost studies for ART programs.
- Standardized disparate data from four studies across five African countries (139 facilities).
- Employed descriptive statistics and meta-analysis to estimate cost per patient and assess variations.
Main Results:
- The weighted average cost per patient on ART was $251 (95% CI: 193-308) in 2017 US dollars.
- Antiretroviral (ARV) drug costs constituted the largest proportion (46%) of the mean unit cost.
- Significant variations in unit costs were observed between countries, with a negative relationship between cost and patient volume.
Conclusions:
- The study successfully pooled and standardized ART costs from heterogeneous sources, enabling exploration of unit cost variations.
- The findings offer valuable insights into ART service costs, aiding decision-making for HIV intervention design and scaling.
- This methodology provides a framework for estimating costs from diverse datasets, reconciling differences across studies.
Related Concept Videos
One-Way ANOVA: Equal Sample Sizes
3.9K
One-Way ANOVA can be performed on three or more samples with equal or unequal sample sizes. When one-way ANOVA is performed on two datasets with samples of equal sizes, it can be easily observed that the computed F statistic is highly sensitive to the sample mean.
Different sample means can result in different values for the variance estimate: variance between samples. This is because the variance between samples is calculated as the product of the sample size and the variance between the...
Different sample means can result in different values for the variance estimate: variance between samples. This is because the variance between samples is calculated as the product of the sample size and the variance between the...
3.9K
Statistical Analysis: Overview
14.0K
When we take repeated measurements on the same or replicated samples, we will observe inconsistencies in the magnitude. These inconsistencies are called errors. To categorize and characterize these results and their errors, the researcher can use statistical analysis to determine the quality of the measurements and/or suitability of the methods.
One of the most commonly used statistical quantifiers is the mean, which is the ratio between the sum of the numerical values of all results and the...
One of the most commonly used statistical quantifiers is the mean, which is the ratio between the sum of the numerical values of all results and the...
14.0K
Statistical Methods to Analyze Parametric Data: ANOVA
1.4K
Analysis of Variance, or ANOVA, is a powerful statistical technique used to analyze parametric data, primarily in research and experimental studies. It's designed to compare the means of two or more groups, assisting researchers in identifying any significant differences between these group means. There are two main types of ANOVA based on the complexity of the analysis: one-way and two-way.
One-way ANOVA is applied when a single independent variable or factor is scrutinized. It compares...
One-way ANOVA is applied when a single independent variable or factor is scrutinized. It compares...
1.4K
One-Way ANOVA
11.7K
One-way ANOVA analyzes more than three samples categorized by one factor. For example, it can compare the average mileage of sports bikes. Here, the data is categorized by one factor - the company. However, one-way ANOVA cannot be used to simultaneously compare the sample mean of three or more samples categorized by two factors. An example of two factors would be sports bikes from different companies driven in different terrains, such as a desert or snowy landscape. Here, two-way ANOVA is used...
11.7K
One-Way ANOVA: Unequal Sample Sizes
6.5K
One-way ANOVA can be performed on three or more samples of unequal sizes. However, calculations get complicated when sample sizes are not always the same. So, while performing ANOVA with unequal samples size, the following equation is used:
6.5K
Analysis of Population Pharmacokinetic Data
632
Analysis of population pharmacokinetic data involves studying the behavior of drugs within diverse populations to understand their pharmacokinetic parameters. Traditional pharmacokinetic methods typically involve collecting samples from a few individuals and estimating these parameters. While these methods are commonly used, they have limitations in capturing the variability in drug response among individuals or heterogeneous populations. Population pharmacokinetics is employed to address these...
632

