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Enregistrement W2527618362 · doi:10.1097/ede.0000000000000570

Commentary

2016· article· en· W2527618362 sur OpenAlexaboutno aff
James Milner, Paul Wilkinson

Notice bibliographique

RevueEpidemiology · 2016
Typearticle
Langueen
DomaineEnvironmental Science
ThématiqueClimate Change and Health Impacts
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésMedicine

Résumé

récupéré en direct d'OpenAlex

Cold housing and fuel poverty appear to be determinants of winter- and cold-related ill health in the United Kingdom and other settings.1 Actions to improve home energy efficiency are therefore assumed to have the potential to improve public health, while also being important for meeting climate change abatement targets.2 Indeed, in most settings, greenhouse gas emissions reduction and other environmental considerations are the primary motives for home energy efficiency programmes. Recent reviews of health impacts related to housing quality and energy efficiency have suggested modest beneficial effects for general health, respiratory health, and mental health.3,4 However, those reviews were not targeted specifically at interventions to reduce exposure to cold in the home. To support guidance on this topic (published in March 2015),5 the UK’s National Institute for Health and Care Excellence (NICE) commissioned a review of evidence, part of which was aimed at determining the extent to which home energy efficiency and heating interventions reduce the health risks associated with cold.6 Further elements to the work considered aspects of vulnerability,7 implementation and delivery,8 and an economic modeling assessment.9 The systematic literature review was based on a wide range of databases and grey literature sources and was performed during September and October 2013. Studies were considered eligible for inclusion if they (1) reported quantitative primary research evidence on home energy efficiency or heating interventions aimed at reducing the risks of winter- and cold-related mortality/morbidity, (2) were performed in countries that are members of the Organization of Economic Cooperation and Development (OECD), and (3) were published in the English language since 1993. Quality appraisal was made using the criteria and processes for assessing intervention studies outlined by NICE.10 Further details of the review process can be found in an electronic appendix to this article (eAppendix 1; https://links.lww.com/EDE/B121). EVIDENCE ON THE HEALTH IMPACTS OF INCREASING HOME ENERGY EFFICIENCY AND/OR WINTER HEATING We identified 21 intervention studies that reported quantitative associations (eFigure A1 in eAppendix 1; https://links.lww.com/EDE/B121, which shows a flow diagram of the review process). Most studies reported interventions to increase energy efficiency, with a minority providing evidence on improving heating systems (sometimes in combination with improved energy efficiency). Studies included randomized controlled trials (RCTs), before-after comparisons, observational studies of natural experiments, and experimental studies. The included studies are described in more detail in the electronic appendix (eTable 1 in eAppendix 2; https://links.lww.com/EDE/B121, which presents the characteristics of each study). In summary, Six studies from the United Kingdom11–14 and New Zealand15,16 provided evidence about symptoms in children or adults relating to asthma; Six papers, including five from the United Kingdom17–21 and one from Canada,22 examined the impact of housing interventions on general respiratory health; Nine studies addressed effects on mental well-being, including an RCT from New Zealand,15 seven studies from the United Kingdom,12–14,17,18,21,23 and a German before-after study;24 Eight studies considered various measures of general health and well-being, including two RCTs from New Zealand,15,16 an RCT from Japan,25 and five studies including RCTs from the United Kingdom;17,18,23,26,27 Seven studies provided quantitative evidence about changes in contacts with the health service (either hospital admissions or general practitioner consultations);12,14–16,26,28,29 RCTs from the United Kingdom11 and New Zealand,30 and an observational study from the United Kingdom20 provided quantitative evidence about housing interventions and absence from school. Overall, the evidence was suggestive, although not conclusive, that interventions that improve home energy efficiency and/or home heating are generally beneficial for health. It suggested that home energy efficiency is associated with improved respiratory outcomes for some children or adults with asthma and related conditions, with the strongest evidence coming from the larger scale RCTs in New Zealand15,16,30 and the United Kingdom.11,13,26 There was also evidence that housing interventions may improve various measures of mental well-being, at least in the short term, although evidence reporting in some studies has been selective.13 Evidence (largely from New Zealand) about possible reductions in health service contact was mixed, and there was limited evidence that housing interventions may reduce school absences for children with asthma.20,30 While there are now a number of good RCTs, the evidence from these studies is heterogeneous, disappointingly mixed in quality, and somewhat difficult to interpret—including the evidence from the RCTs themselves. For example, the CHARISMA (Children’s Health in Asthma: Research to Improve Status through Modifying Accommodation) study was primarily an analysis of a specific ventilation intervention for asthma sufferers and only a small subset of the study population received the heating intervention,11 while an otherwise sound RCT by Osman et al.26 had appreciable cross-contamination of its intervention arms and its effective sample size was small. Research in this field presents a number of challenges that have contributed to the difficulty of evidence interpretation. With housing intervention studies, it is generally impossible to blind recipients (and sometimes researchers) to the intervention. In circumstances in which many of the recorded outcomes are based on patient- or parent-reported symptoms, there is evident potential for bias, especially where intervention recipients receive an upgrade in the quality of their dwelling at no direct cost to themselves. Some studies did include more “objective” outcomes, including peak expiratory flow rate30 and blood pressure,25,31 doctor records of consultations and diagnoses,15,16 as well as measures of days off work or school,11,15,16 and instrument-based measures of mental well-being.13,17,18,23 However, longer-term consequences of intervention were generally not studied, nor were impacts on “hard” endpoints such as mortality or hospital admissions, mainly for reasons of time lag and required sample size. With a few exceptions, individual studies were comparatively modest in size and understandably well below the very large population sizes needed to assess changes in outcomes such as cold-related mortality. The fact that most studies also measured multiple outcomes adds further complexity to interpretation, especially when similar outcome measures (or different dimensions of a measure) gave different patterns of results, as occurred for example with the different dimensions of psychosocial well-being assessed in the Warm Front evaluation.23 It is important to note that no single study has thus far captured a comprehensive range of potential health impacts, including those that relate to the long-term effects of exposures, and especially those relating to changes in the ventilation characteristics of dwellings. In consequence, there remain uncertainties about some potentially negative longer-term (and hence usually unmeasured) consequences of home energy efficiency interventions.32 Other limitations of our review include the fact that it was restricted to English language and OECD countries, while it is likely that many of the important factors relating to housing and health are specific to the local context (such as the local climate and housing quality). The heterogeneity of studies, especially the diversity of study designs and settings, makes it difficult to draw firm conclusions, and interpretation is also made more complex by changes over time that may appreciably alter the context in which interventions in housing and other sectors occur. Nonetheless, despite these substantial cautions, the balance of the limited pool of evidence points clearly to net beneficial effects for health of home energy efficiency interventions, especially for selected population groups such as the elderly and those with certain illnesses. This conclusion is broadly consistent with previous related reviews,3,4 and supported by qualitative evidence that has identified a number of pathways for psychosocial well-being relating to energy efficiency improvements.14,33 Recent studies have also suggested that home energy efficiency upgrades are cost-effective, at least in part due to the benefits for health.34–37 The overall economic assessment of the interventions is likely to depend in large measure on how health and non health costs and benefits are counted, with home energy efficiency interventions being more likely to be justified economically once a wider range of benefits are considered (including probable environmental and social benefits).9 IMPLICATIONS FOR PUBLIC HEALTH POLICY The conclusion of usually net beneficial effects for health of home energy efficiency and heating improvement has important implications for public policy. Specifically, it strengthens arguments, perhaps crucially so in some cases, for more widespread and accelerated action to improve the energy efficiency of the housing stock in the United Kingdom and elsewhere for health, as well as environmental reasons. When an integrated view is taken that considers impacts on health alongside those on greenhouse gas emissions, energy security and household fuel costs, the case for action would appear generally compelling. However, with any widespread programme it is important to understand the full spectrum of positive and negative health effects of energy efficiency upgrades to ensure that interventions are appropriately tailored to maximize the positive benefits and minimize unintended adverse consequences.38 There is a need for further research. This is especially so given that the influence of housing quality on health may be very context specific so that extrapolation of results from one country to another should be done with caution. Specific research needs include: Studies that evaluate as wide a range of outcomes as possible, including mortality, hospital admissions, and outcomes that may be affected over the longer term by changes in indoor air quality. Studies need to be of sufficient scale and to employ methods of objective measurement; Studies of the effect of fuel prices and fuel poverty on health, whose assumed influence has not been adequately quantified through high-quality empirical research; Studies of the policy environment and operational factors to determine how policies may be justified and aligned to support health, environmental, and other objectives simultaneously. There is now also increasing evidence of economic benefits due to home energy efficiency and heating interventions, for example, the evaluation of the “Warm Up New Zealand: Heat Smart” programme.39 Whether home energy efficiency can be justified in cost–benefit terms as a purely health intervention remains unclear, although it may have a specific role for selected people with temperature-sensitive conditions. However, given that there is a compelling rationale for improving the energy efficiency of the vast majority of the housing stock in the United Kingdom and elsewhere to meet other public policy objectives, the identification of the opportunity to improve health through home energy efficiency could be an important factor in helping to prioritize action. In conclusion, evidence on interventions that may help reduce the multiple factors contributing to excess winter- and cold-related mortality/morbidity remains limited and heterogeneous. However, there is now a suggestive body of evidence that energy efficiency and heating interventions in housing may improve the health of some population groups, notably those with respiratory and other chronic diseases.15,26 Positive effects on health may include improvements in respiratory symptoms and the symptoms of other chronic illnesses, improved mental well-being, reduced contacts with the health service, and fewer days of absence from school or work. For some key target groups, such as children with asthma, housing intervention may be sufficiently justified in its own right as a means of helping to manage the clinical condition.11,16,20,30 However, the evidence base remains limited, and there is potential for unintended adverse consequences of some forms of energy efficiency upgrade over the longer term, principally in relation to changes in the ventilation characteristics of dwellings. This is an area in which there is particular lack of hard empirical evidence and more research is needed. For lower-risk target groups, the apparent health benefits are less pronounced, but such actions may be more readily justified if the health effects are considered alongside other social, environmental, and economic consequences. The urgent need to tackle climate change already provides powerful motivation for improving the energy efficiency of the housing stock in countries such as the United Kingdom. The strengthening evidence for probable health benefits makes the case for the widespread acceleration of such investment even more forceful. ABOUT THE AUTHORS JAMES MILNER is an Assistant Professor at the London School of Hygiene and Tropical Medicine (LSHTM). His work concentrates on the health impacts of environmental policies and interventions with a focus on climate change mitigation strategies in cities. PAUL WILKINSON is a Professor of Environmental Epidemiology at LSHTM. He trained in medicine and public health in Oxford and London, United Kingdom. His current research focuses on the effects of global environmental change on health, with particular emphasis on climate change and urbanization. ACKNOWLEDGMENTS The authors wish to thank Ben Armstrong, John Cairns, Zaid Chalabi, Shakoor Hajat, Lorelei Jones, Mark Petticrew, Noah Scovronick (London School of Hygiene & Tropical Medicine), Payel Das, Mike Davies, Ian Hamilton, Jonathon Taylor (University College London), Bernt Eggen, Sotiris Vardoulakis (Public Heath England), and Stephen Duffy (University of York) for their roles in the evidence review.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesCharge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesCharge utile insuffisante (le modèle a refusé de juger)
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,291
Score d'incertitude au seuil0,996

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0130,005

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,144
Tête enseignante GPT0,381
Écart entre enseignants0,237 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; les deux têtes enseignantes s’accordent sur ce qui est montré ici.

Devis d'étudeSans objet
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations9
Publié2016
Routes d'admission1
Résumé présentoui

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