Private vs. public emergency visits for mental health due to heat: an indirect socioeconomic assessment of heat vulnerability and healthcare access, in Curitiba, Brazil

Few studies have explored the influence of socioeconomic status (SES) on the heat vulnerability of mental health (MH) patients. As individual socioeconomic data was unavailable, we aimed to fill this gap by using the healthcare system type as a proxy for SES. Brazilian national statistics indicate t...

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Hauptverfasser: Feriato Corvetto, Julia (VerfasserIn) , Helou, Ammir Y. (VerfasserIn) , Kriit, Hedi (VerfasserIn) , Federspiel, Andrea (VerfasserIn) , Bunker, Aditi (VerfasserIn) , Liyanage, Prasad (VerfasserIn) , Costa, Luis Felipe (VerfasserIn) , Müller, Thomas (VerfasserIn) , Sauerborn, Rainer (VerfasserIn)
Dokumenttyp: Article (Journal)
Sprache:Englisch
Veröffentlicht: 16 May 2024
In: The science of the total environment
Year: 2024, Jahrgang: 934, Pages: 1-9
ISSN:1879-1026
DOI:10.1016/j.scitotenv.2024.173312
Online-Zugang:Verlag, kostenfrei, Volltext: https://doi.org/10.1016/j.scitotenv.2024.173312
Verlag, kostenfrei, Volltext: https://www.sciencedirect.com/science/article/pii/S0048969724034594
Volltext
Verfasserangaben:Julia F. Corvetto, Ammir Y. Helou, Hedi K. Kriit, Andrea Federspiel, Aditi Bunker, Prasad Liyanage, Luis Felipe Costa, Thomas Müller, Rainer Sauerborn

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520 |a Few studies have explored the influence of socioeconomic status (SES) on the heat vulnerability of mental health (MH) patients. As individual socioeconomic data was unavailable, we aimed to fill this gap by using the healthcare system type as a proxy for SES. Brazilian national statistics indicate that public patients have lower SES than private. Therefore, we compared the risk of emergency department visits (EDVs) for MH between patients from both healthcare types. EDVs for MH disorders from all nine public (101,452 visits) and one large private facility (154,954) in Curitiba were assessed (2017-2021). Daily mean temperature was gathered and weighed from 3 stations. Distributed-lag non-linear model with quasi-Poisson (maximum 10-lags) was used to assess the risk. We stratified by private and public, age, and gender under moderate and extreme heat. Additionally, we calculated the attributable fraction (AF), which translates individual risks into population-representative burdens - especially useful for public policies. Random-effects meta-regression pooled the risk estimates between healthcare systems. Public patients showed significant risks immediately as temperatures started to increase. Their cumulative relative risk (RR) of MH-EDV was 7.5 % higher than the private patients (Q-Test 26.2 %) under moderate heat, suggesting their particular heat vulnerability. Differently, private patients showed significant risks only under extreme heat, when their RR became 4.3 % higher than public (Q-Test 6.2 %). These findings suggest that private patients have a relatively greater adaptation capacity to heat. However, when faced with extreme heat, their current adaptation means were potentially insufficient, so they needed and could access healthcare freely, unlike their public counterparts. MH patients would benefit from measures to reduce heat vulnerability and access barriers, increasing equity between the healthcare systems in Brazil. AF of EDVs due to extreme heat was 0.33 % (95%CI 0.16;0.50) for the total sample (859 EDVs). This corroborates that such broad population-level policies are urgently needed as climate change progresses. 
650 4 |a Attributable risk 
650 4 |a Climate change 
650 4 |a Dlnm 
650 4 |a Emergency department visits 
650 4 |a Extreme heat 
650 4 |a Mental disorder 
650 4 |a Private health care 
650 4 |a Psychiatric disorder 
650 4 |a Public health care 
650 4 |a Socioeconomic status 
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