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Constructing the cascade of HIV care: methods for measurement
Noah Haber1, Deenan Pillay, Kholoud Porter
1aHarvard T.H. Chan School of Public Health, Boston, Massachusetts, USA bWellcome Trust Africa Centre for Health and Population Studies, University of KwaZulu-Natal, Durban, South Africa cDivision of Infection and Immunity dMRC Clinical Trials Unit, University College London, London, UK.
Estimating the human immunodeficiency virus (HIV) treatment cascade varies widely. This review develops a typology for cascade scope and methods, advocating for broader, deeper, and linked longitudinal data for better HIV response.
Area of Science:
- Public Health
- Epidemiology
- Health Services Research
Background:
- The human immunodeficiency virus (HIV) treatment cascade is a widely accepted framework in global HIV policy.
- Estimating the cascade involves diverse methodologies, impacting long-term outcome assessment and sustainability.
- A standardized approach is crucial as the HIV response evolves.
Purpose of the Study:
- To review the history and current literature on HIV treatment cascade estimation methods.
- To develop a comprehensive typology classifying cascade scope and measurement dimensions.
- To provide recommendations for more robust cascade analyses.
Main Methods:
- Defining cascade scope by breadth (event range) and depth (number of stages).
- Distinguishing measurement based on data linkage (denominator-denominator, denominator-numerator).
- Analyzing data source populations (single vs. multiple) and study design (longitudinal vs. cross-sectional).
Main Results:
- Cascade scope can be defined by breadth and depth.
- Four key dimensions for cascade measurement were identified: linkage types, population scope, and design.
- Variations in methods significantly influence cascade estimation.
Conclusions:
- Broader and deeper cascades with denominator-denominator and denominator-numerator linkage are preferred.
- Longitudinal data from single populations are favored over cross-sectional or multiple populations.
- Investment in population-based cohorts and data linkage is essential for comprehensive longitudinal HIV cascade analyses.
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