ArticleHealth economics2010
An instrumental variables evaluation of the effect of antidepressant use on employment among HIV-infected women using antiretroviral therapy in the United States: 1996-2004.
Article in Health economics, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
7 citing papers in PubMed.
- The employment situation of people living with HIV: a closer look at the effects of the 2008 economic crisis.The European journal of health economics : HEPAC : health economics in prevention and care · 2022Article
- The effect of unstable housing on HIV treatment biomarkers: An instrumental variables approach.Social science & medicine (1982) · 2018Article
- Strategies for improving the lives of US women aged 40 and above living with HIV/AIDS: an evidence map.Systematic reviews · 2018Article
- Article
- Gender-Related Risk Factors Improve Mortality Predictive Ability of VACS Index Among HIV-Infected Women.Journal of acquired immune deficiency syndromes (1999) · 2015Article
- Longitudinal Trends in Sexual Behaviors with Advancing Age and Menopause Among Women With and Without HIV-1 Infection.AIDS and behavior · 2015Article
- Different analyses estimate different parameters of the effect of erythropoietin stimulating agents on survival in end stage renal disease: a comparison of payment policy analysis, instrumental variables, and multiple imputation of potential outcomes.Journal of clinical epidemiology · 2013Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
Depression is a common condition among patients with HIV. This paper uses panel data for 1234 participants from the Women's Interagency HIV Study to estimate the effect of antidepressant use on the likelihood of being employed among women receiving highly active antiretroviral therapy (HAART) in the United States from 1996 to 2004. We show that naive regressions of antidepressant use on employment generally result in negative or non-significant coefficients, whereas the instrumental variables (IVs) approach shows a positive and significant effect of antidepressant use on the employment probability of women living with HIV. We use IVs to predict antidepressant use independently of outcomes, thus addressing potential biases (e.g. more depressed women are more likely to receive antidepressant treatment, but they are also more likely to be unemployed). The results are consistent for linear (random and fixed effects) as well as non-linear (bivariate probit) specifications. Among women receiving HAART, and controlling for individual and local area labor market characteristics, the use of antidepressants is associated with a 29-percentage-point higher probability of being employed. Improved efforts to test, diagnose and treat depression among HIV-positive patients may improve not only clinical indicators but also labor market outcomes.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.