ArticlePortuguese journal of public health2021
Explaining the Gender Gap in Waiting Times for Scheduled Surgery in the Portuguese National Health Service.
Article in Portuguese journal of public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- "It is because we women do not have a voice to be heard" - perceptions of gender-based discrimination and its relevance to health: a qualitative study with women in Burkina Faso, Ghana and Tanzania.International journal for equity in health · 2025Article
- Changes in female cancer diagnostic billing rates over the COVID-19 period in the Ontario Health Insurance Plan.Therapeutic advances in medical oncology · 2025Article
- Waiting times spillovers in a National Health Service hospital network: a little organizational diversity can go a long way.Health economics review · 2024Article
- The impact of cancellations in waiting times analysis: evidence from scheduled surgeries in the Portuguese NHS.The European journal of health economics : HEPAC : health economics in prevention and care · 2022Article
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective: This paper evaluates the gender gap in waiting times for scheduled surgery, using information on 2.6 million surgical episodes in Portuguese National Health Service hospitals covering the period from 2011 to 2015. Methodology: We estimated the gross gender gap, i.e., the differential between the waiting times of men and women, and then add several explanatory variables that can account for this difference to estimate an adjusted gender gap. The variables are added in a way that permits the most flexible parametric specification. Next, we used Gelbach's decomposition to understand the contribution of each variable to the difference between the gross and the adjusted gender gaps. Results: The gross gender gap of 10% is reduced to a 3% adjusted gender gap after accounting for observable explanatory factors. Gelbach's decomposition shows that patient priority and hospital-fixed effects are the variables that contribute the most to the explained component of the gap. The analysis suggests that men tend to be ranked with more severe priorities, and that there are hospital specificities that cause men to have shorter waiting times. Conclusions: Overall, we identified a gender bias against women in surgery waiting times, but the size of the bias is smaller than was previously suggested in the literature.
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