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Labor Market Outcomes of People with HIV Pre- and Post-Diagnosis in the Netherlands

  • Department of Economics, School of Business and Economics, Vrije Universiteit Amsterdam, The Netherlands
  • University of Amsterdam
  • School of Business and Economics
  • Stichting HIV Monitoring
  • The Netherlands
  • AMsterdam University Medical Center
  • Department of Infectious Diseases
  • Public Health Service Amsterdam
  • Amsterdam

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

In the current era of effective antiretroviral therapy, HIV has become a manageable chronic condition. Little is known about the consequences of HIV on individuals' labor market outcomes. We study the impact of an HIV diagnosis using linked clinical data (the Dutch ATHENA cohort) and administrative data. A causal effect is estimated by comparing outcomes of people with HIV diagnosed between 2010 and 2022 (n = 5960) to a matched control group (n = 59,600) in a difference-in-difference design. We find that people with HIV are less likely to be employed, work fewer hours, earn less income, and are more likely to receive disability benefits up to 7 years after diagnosis. These effects are more pronounced for those diagnosed with late-stage HIV disease. Those with a non-late stage diagnosis experience a deterioration of socioeconomic outcomes, despite being less likely to experience clinically relevant symptoms at diagnosis. These findings highlight the need for continued efforts in prevention and early detection of HIV.

Original languageEnglish
Article number1110
Pages (from-to)1110
Number of pages1
JournalNature communications
Volume17
Issue number1
DOIs
Publication statusPublished - 28 Jan 2026

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being
  2. SDG 8 - Decent Work and Economic Growth
    SDG 8 Decent Work and Economic Growth

Keywords

  • Adult
  • Cohort Studies
  • Employment/statistics & numerical data
  • Female
  • HIV Infections/diagnosis
  • Humans
  • Income/statistics & numerical data
  • Male
  • Middle Aged
  • Netherlands/epidemiology

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