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Record W2783136035 · doi:10.1016/s2542-5196(17)30184-5

Do air quality alerts benefit public health? New evidence from Canada

2018· letter· en· W2783136035 on OpenAlexaboutno aff
Jonathan M. Samet

Bibliographic record

VenueThe Lancet Planetary Health · 2018
Typeletter
Languageen
FieldEnvironmental Science
TopicAir Quality and Health Impacts
Canadian institutionsnot available
Fundersnot available
KeywordsQuality (philosophy)BusinessPublic healthEnvironmental healthMedical emergencyMedicineNursing

Abstract

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Many policy interventions intended to benefit public health can only be evaluated as so-called natural experiments, because implementation is not controlled by researchers seeking to assess effectiveness.1Craig P Cooper C Gunnell D et al.Using natural experiments to evaluate population health interventions: new Medical Research Council guidance.J Epidemiol Community Health. 2012; 66: 1182-1186Crossref PubMed Scopus (535) Google Scholar Such assessments can be complicated by non-comparability between people affected and not affected by the intervention. Various quasi-experimental designs have been proposed to address this problem of non-comparability, one being the regression discontinuity design, which has had little use in public health.2Moscoe E Bor J Barnighausen T Regression discontinuity designs are underutilized in medicine, epidemiology, and public health: a review of current and best practice.J Clin Epidemiol. 2015; 68: 122-133Summary Full Text Full Text PDF PubMed Scopus (144) Google Scholar This design has application when treatment assignment depends on the value of a variable—referred to as the assignment variable—reaching a threshold. For example, assignment of clinical treatment might depend on a clinical variable being measured above a specific value—eg, diastolic blood pressure greater than 90 mm Hg. Underlying the regression discontinuity design are assumptions of arbitrariness of a threshold value and of comparability of treated and not-treated individuals in a sufficiently narrow window around the threshold. If a strict cutoff is not adhered to, or the assignment variable is measured with error, the regression discontinuity design is termed fuzzy and data are considered analogous to those of a randomised clinical trial with non-adherence. In The Lancet Planetary Health, Hong Chen and colleagues3Chen H Li Q Kaufman JS et al.Effect of air quality alerts on human health: a regression discontinuity analysis in Toronto, Canada.Lancet Planet Health. 2018; 2: e19-e26Summary Full Text Full Text PDF PubMed Scopus (48) Google Scholar report a regression discontinuity analysis of the effectiveness of air quality alerts for seven selected morbidity and mortality outcomes in Toronto, Canada. During the period covered, air quality alerts were announced based on air pollution forecasts on that day reaching threshold values or the expectation of high ozone or particulate matter pollution, making the regression discontinuity design applicable. Chen and colleagues estimated two separate sets of effects for the seven health outcomes: the first corresponded to the day being eligible for an alert, not necessarily called; and the second estimated the effect of announcing an alert. The findings were clear in indicating a reduction in emergency room visits for asthma, and some evidence was found for fewer hospital admissions for chronic obstructive pulmonary disease and asthma. No evidence was reported of reduced mortality or for beneficial effects for cardiovascular disease morbidity. An air quality alert has potential public health benefits through a chain of possible responses that reduce exposure (figure). In Canada, air quality alerts are used mainly to advise on individual actions to be taken by the general population and those at risk.4Government of CanadaAir quality health index.https://www.canada.ca/en/environment-climate-change/services/air-quality-health-index.htmlDate: Aug 4, 2017Google Scholar The measures mostly relate to changes in activity patterns. In some countries, an air quality alert—particularly if triggered by high concentrations of ozone or particulate matter—can lead to emergent measures to reduce emissions and limit exposures (eg, closing schools). In Beijing, for example, the most severe episodes lead to a red alert with mandatory provisions, including suspending primary and middle schools, banning use of specific vehicles, stopping some outdoor construction work, closing predesignated industrial facilities, and banning fireworks.5Cheng N Zhang D Li Y et al.Spatio-temporal variations of PM2·5 concentrations and the evaluation of emission reduction measures during two red air pollution alerts in Beijing.Sci Rep. 2017; 7: 8220Crossref PubMed Scopus (38) Google Scholar At times of high pollution, individuals might also choose to use personal respiratory protection and air cleaning devices in their residences. Mullins and Bharadwaj6Mullins J Bharadwaj P Effects of short-term measures to curb air pollution: evidence from Santiago, Chile.Am J Agric Econ. 2015; 97: 1107-1134Crossref Scopus (39) Google Scholar showed that an air quality alert system reduced mortality in Santiago, Chile; high levels of ozone and particulate matter prompted both public warnings and governmental actions to reduce emissions. If air quality alerts are to work as intended for individuals, awareness of the warnings and adherence to the protective recommendations are essential steps in the chain. Scant evidence—summarised in a systematic review7D'Antoni D Smith L Auyeung V Weinman J Psychosocial and demographic predictors of adherence and non-adherence to health advice accompanying air quality warning systems: a systematic review.Environ Health. 2017; 16: 100Crossref PubMed Scopus (37) Google Scholar—indicates that the level of adherence to warning is suboptimum. A study using the regression discontinuity design showed that air quality alerts in southern California8Neidell M Air quality warnings and outdoor activities: evidence from Southern California using a regression discontinuity design.J Epidemiol Community Health. 2010; 64: 921-926Crossref PubMed Scopus (31) Google Scholar reduced attendance at two outdoor venues. In the UK,9Lyons RA Rodgers SE Thomas S et al.Effects of an air pollution personal alert system on health service usage in a high-risk general population: a quasi-experimental study using linked data.J Epidemiol Community Health. 2016; 70: 1184-1190Crossref PubMed Scopus (21) Google Scholar a quasi-experimental study found that text messaging about air quality unexpectedly increased use of health services among a group judged at risk for adverse effects of air pollution exposure. Considering the findings of Chen and colleagues in the context of the response chain, the beneficial outcomes noted in people with asthma could be anticipated. Generally, people with asthma and their care providers are aware of the adverse effect of air pollution, and clinical guidelines address indoor and outdoor air pollution. Self-guided modification of treatment can be made—eg, increasing use of rescue inhalers—and activity patterns can be changed. For cardiovascular disease, awareness of the relevance of air pollution alerts is possibly less. The findings of Chen and colleagues should be generalised with caution, in view of the study population from Toronto, which has good access to medical care. Moreover, estimates using the regression discontinuity design have applicability around the threshold assessed but cannot be extended readily to the far more severe air pollution now affecting much of the world. Nonetheless, the study nicely documents the use of the regression discontinuity design for assessing the outcomes of air pollution policies. Air pollution alerts remain fundamental to public-health protection, particularly in large urban areas where air pollution concentrations routinely spike well beyond air quality standards and guidelines. In the future, there could be a shift towards personalised systems, because small low-cost sensors are being used with increasing frequency; crowdsourcing enriches data at small scales; and mobile technologies are used as conduits for warnings and guidance. These initiatives will need careful assessment using quasiexperimental approaches. I declare no competing interests. Effect of air quality alerts on human health: a regression discontinuity analysis in Toronto, CanadaIn this population-based cohort, the air quality alert programme was related to some reductions in respiratory morbidity, but not any other health outcome examined. This finding suggests that issuing air quality alerts alone has a limited effect on public health and that implementing enforced public actions to reduce air pollution on high pollution days could be warranted. Together with accumulating evidence of substantial burden from long-term air pollution exposure, this study underscores the need for further strengthening of global efforts that can lead to long-term improvement of overall air quality. Full-Text PDF Open Access

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How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.203
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0020.000
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0060.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.212
GPT teacher head0.348
Teacher spread0.136 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreCommentary

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations6
Published2018
Admission routes1
Has abstractyes

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