Cost saving potential in cardiovascular hospital costs due to reduction in air pollution

Devos, Stefanie; Cox, Bianca; Dhondt, Stijn; Nawrot, Tim S.; Putman, Koen

doi:10.1016/j.scitotenv.2015.04.104

Cited by 27 publications

(25 citation statements)

References 36 publications

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“…These are registered in the Minimal Financial Dataset and contain all claims charged to patients (co-payments), health insurances, and/or other insurances. Additionally, a fixed day price was added to calculate the total hospital cost of the included patients (Devos et al, 2015). For each day a patient stays in the hospital, Belgian hospitals receive an additional lump sum from the public health insurance funds to finance non-medical hospital activities such as capital expenditures and investments for housing and medico-technical facilities, hotel function, and nursing care.…”

Section: Health and Hospital Cost Datamentioning

confidence: 99%

Effect of the shape of the exposure-response function on estimated hospital costs in a study on non-elective pneumonia hospitalizations related to particulate matter

Devos

Cox

Lier

et al. 2016

Environment International

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Although further research is required to assess the shape of the association between PM2.5 exposure and pneumonia hospitalizations, we demonstrated that estimates for health effects and associated costs heavily depend on the assumed E-R function. These results are important for policy making, as supra-linear E-R associations imply that significant health benefits may still be obtained from additional pollution control measures in areas where PM levels have already been reduced.

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Section: Health and Hospital Cost Datamentioning

confidence: 99%

Effect of the shape of the exposure-response function on estimated hospital costs in a study on non-elective pneumonia hospitalizations related to particulate matter

Devos

Cox

Lier

et al. 2016

Environment International

Self Cite

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“…The estimated risk reduction for ischemic heart disease admissions was 2.44%, 2.34% and 3.93% for a 10% reduction in PM10, PM2.5 and NO 2 , respectively [8]. For Belgium, the associated annual cost savings were estimated at €5.2 million, €5.0 million and €8.4 million, respectively [8]. For heart rhythm disturbances, admission risk could be reduced by 2.16%, 2.08% and 3.46% for a 10% reduction in PM10, PM2.5 and NO 2 , respectively [7].…”

Section: Introductionmentioning

confidence: 97%

“…For heart rhythm disturbances, admission risk could be reduced by 2.16%, 2.08% and 3.46% for a 10% reduction in PM10, PM2.5 and NO 2 , respectively [7]. This corresponds with a potential annual hospital cost saving in Belgium of €3.7 million, €3.6 million, and €5.9 million, respectively [8].…”

Section: Introductionmentioning

confidence: 99%

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Air quality and the number of urgent interventions

Cvitković¹,

Barišin²,

Capak³

et al. 2018

Int. J. EI

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The purpose of this article is to analyse the correlation of air quality data with the number of emergency medical interventions and the number of patient visits to emergency clinic of the Integrated Emergency Hospital Admission (Croatian acronym: OHBP).The analysis was conducted on data regarding Slavonski Brod (Croatia) from 1 January to 31 August 2016, obtained from: (1) System eHitna -emergency medical services interventions (2) Patients' visit to OHBP-General Hospital Slavonski Brod (3) Environmental Protection Agency data regarding air quality for PM2.5, PM10 and H 2 S per day. The number of interventions ranged from 103 to 260 (M = 151), and the number of patients from 90 to 250 per day (M = 133). Overall the number of interventions was 37,482, and overall number of patients 32,757. The values of PM2.5 ranged from 1.73 to 500.11 µg/m 3 (M = 18.70), values of PM10 ranged from 3.17 to 520.21 µg/m 3 (M = 25.55), and values of H2S ranged from 0.62 to 12.43 µg/m 3 (M = 1.49).The values of PM2.5, PM10 and H2S have been analysed also depending on the limit values (25 µg/m 3 for PM2.5, 50 µg/m 3 for PM10 and 5 µg/m 3 for H2S).The values were within the limit values for PM2.5 in 64% of days, in 80% of days for PM10 and in 93% of days for H2S.There was a statistically significant weak correlation (r S = 0.333, p < 0.05) between PM2.5 and the number of patients per day, weak correlation (r S = 0.334, p < 0.05) between PM10 and the number of patients per day and a weak correlation (r S = 0.171, p < 0.05) between H2S and the number of patients per day.There was a statistically significant difference in the number of patients who were provided with medical assistance in the day depending on the values of PM2.5 (p < 0.001) and PM10 (p < 0.001), while for H2S the significance was borderline (p = 0.051).

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“…Além de óbitos, a poluição atmosférica também está associada a patologias do sistema respiratório, como asma e bronquite (GUARNIERI; KAMPA;CASTANAS, 2008). Tais efeitos refletem em custos para a sociedade, e a diminuição das emissões resulta em redução dos custos externos (DEVOS et al, 2015). Somente para a cidade de São Paulo, o custo total para agravos na saúde ligados à poluição atmosférica chega a US$ 3.222.676 (MIRAGLIA et al, 2005).…”

Section: Introductionunclassified

Teloschistes flavicans (sw.) Norman como indicador de poluição atmosférica em Paranaguá – PR

Gurgatz

Moreira²,

Antoniaconi³

et al. 2017

Rev. Bras. Ciênc. Ambient. (Online)

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Cost saving potential in cardiovascular hospital costs due to reduction in air pollution

Cited by 27 publications

References 36 publications

Effect of the shape of the exposure-response function on estimated hospital costs in a study on non-elective pneumonia hospitalizations related to particulate matter

Effect of the shape of the exposure-response function on estimated hospital costs in a study on non-elective pneumonia hospitalizations related to particulate matter

Air quality and the number of urgent interventions

Teloschistes flavicans (sw.) Norman como indicador de poluição atmosférica em Paranaguá – PR

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