<p>Abstract</p> <p>Background</p> <p>Dampness and mold have been shown in qualitative reviews to be associated with a variety of adverse respiratory health effects, including respiratory tract infections. Several published meta-analyses have provided quantitative summaries for some of these associations, but not for respiratory infections. Demonstrating a causal relationship between dampness-related agents, which are preventable exposures, and respiratory tract infections would suggest important new public health strategies. We report the results of quantitative meta-analyses of published studies that examined the association of dampness or mold in homes with respiratory infections and bronchitis.</p> <p>Methods</p> <p>For primary studies meeting eligibility criteria, we transformed reported odds ratios (ORs) and confidence intervals (CIs) to the log scale. Both fixed and random effects models were applied to the log ORs and their variances. Most studies contained multiple estimated ORs. Models accounted for the correlation between multiple results within the studies analyzed. One set of analyses was performed with all eligible studies, and another set restricted to studies that controlled for age, gender, smoking, and socioeconomic status. Subgroups of studies were assessed to explore heterogeneity. Funnel plots were used to assess publication bias.</p> <p>Results</p> <p>The resulting summary estimates of ORs from random effects models based on all studies ranged from 1.38 to 1.50, with 95% CIs excluding the null in all cases. Use of different analysis models and restricting analyses based on control of multiple confounding variables changed findings only slightly. ORs (95% CIs) from random effects models using studies adjusting for major confounding variables were, for bronchitis, 1.45 (1.32-1.59); for respiratory infections, 1.44 (1.31-1.59); for respiratory infections excluding nonspecific upper respiratory infections, 1.50 (1.32-1.70), and for respiratory infections in children or infants, 1.48 (1.33-1.65). Little effect of publication bias was evident. Estimated attributable risk proportions ranged from 8% to 20%.</p> <p>Conclusions</p> <p>Residential dampness and mold are associated with substantial and statistically significant increases in both respiratory infections and bronchitis. If these associations were confirmed as causal, effective control of dampness and mold in buildings would prevent a substantial proportion of respiratory infections.</p
Background: Tobacco smoking is the cause of many preventable diseases and premature deaths in the UK and around the world. It poses enormous health- and non-health-related costs to the affected individuals, employers, and the society at large. The World Health Organization (WHO) estimates that, globally, smoking causes over US500billionineconomicdamageeachyear.Objectives:ThispaperexaminesglobalandUKevidenceontheeconomicimpactofsmokingprevalenceandevaluatestheeffectivenessandcosteffectivenessofsmokingcessationmeasures.StudyselectionSearchmethods:Weusedtwomajorhealthcare/economicresearchdatabases,namelyPubMedandtheNationalInstituteforHealthResearch(NIHR)databasethatcontainstheBritishNationalHealthService(NHS)EconomicEvaluationDatabase;CochraneLibraryofsystematicreviewsinhealthcareandhealthpolicy;andotherhealthâcareârelatedbibliographicsources.Wealsoperformedhandsearchingofrelevantarticles,healthreports,andwhitepapersissuedbygovernmentbodies,internationalhealthorganizations,andhealthinterventioncampaignagencies.Selectioncriteria:Thepaperincludescostâeffectivenessstudiesfrommedicaljournals,healthreports,andwhitepaperspublishedbetween1992andJuly2014,butincludedonlyeightrelevantstudiesbefore1992.Mostofthepapersreviewedreportedoutcomesonsmokingprevalence,aswellasthedirectandindirectcostsofsmokingandthecostsandbenefitsofsmokingcessationinterventions.Weexcludedpapersthatmerelydescribedtheeffectivenessofaninterventionwithoutincludingeconomicorcostconsiderations.Wealsoexcludedpapersthatcombinesmokingcessationwiththereductionintheriskofotherdiseases.Datacollectionandanalysis:TheincludedstudieswereassessedagainstcriteriaindicatedintheCochraneReviewersHandbookversion5.0.0.Outcomesassessedinthereview:Primaryoutcomesoftheselectedstudiesaresmokingprevalence,directandindirectcostsofsmoking,andthecostsandbenefitsofsmokingcessationinterventions(eg,âcostperquitterâ,âcostperlifeyearsavedâ,âcostperqualityâadjustedlifeyeargained,ââpresentvalueâorânetbenefitsâfromsmokingcessation,andâcostsavingsâfrompersonalhealthcareexpenditure).Mainresults:Themainfindingsofthisstudyareasfollows:1.Thecostsofsmokingcanbeclassifiedintodirect,indirect,andintangiblecosts.About15151 billion.
2.The costs of smoking notwithstanding, it produces some potential economic benefits. The economic activities generated from the production and consumption of tobacco provides economic stimulus. It also produces huge tax revenues for most governments, especially in high-income countries, as well as employment in the tobacco industry. Income from the tobacco industry accounts for up to 7.4% of centrally collected government revenue in China. Smoking also yields cost savings in pension payments from the premature death of smokers.
3. Smoking cessation measures could range from pharmacological treatment interventions to policy-based measures, community-based interventions, telecoms, media, and technology (TMT)-based interventions, school-based interventions, and workplace interventions.
4. The cost per life year saved from the use of pharmacological treatment interventions ranged between US128andUS1,450 and up to US4,400perqualityâadjustedlifeyears(QALYs)saved.Theuseofpharmacotherapiessuchasvarenicline,NRT,andBupropion,whencombinedwithGPcounselingorotherbehavioraltreatmentinterventions(suchasproactivetelephonecounselingandWebâbaseddelivery),isbothclinicallyeffectiveandcosteffectivetoprimaryhealthcareproviders.5.Priceâbasedpolicymeasuressuchasincreaseintobaccotaxesareunarguablythemosteffectivemeansofreducingtheconsumptionoftobacco.A102 to US112perlifeyeargained(LYG)whilereducingsmokingprevalencebyupto306.Smokingcessationclassesareknowntobemosteffectiveamongcommunityâbasedmeasures,astheycouldleadtoaquitrateofupto35500 and US614perLYG.7.Advertisingmedia,telecommunications,andothertechnologyâbasedinterventions(suchasTV,radio,print,telephone,theInternet,PC,andotherelectronicmedia)usuallyhavepositivesynergisticeffectsinreducingsmokingprevalenceespeciallywhencombinedtodeliversmokingcessationmessagesandcounselingsupport.However,theoutcomesonthecosteffectivenessofTMTâbasedmeasureshavebeeninconsistent,andthismadeitdifficulttoattributeresultstospecificmedia.Thedifferencesinreportedcosteffectivenessmaybepartlyattributedtovaryingmethodologicalapproachesincludingvaryingparametricinputs,differencesinnationalcontexts,differencesinadvertisingcampaignstestedondifferentmedia,anddisparatelevelsofresourcingbetweencampaigns.Duetoitsuniversalreachandlowimplementationcosts,onlinecampaignappearstobesubstantiallymorecosteffectivethanothermedia,thoughitmaynotbeaseffectiveinreducingsmokingprevalence.8.Schoolâbasedsmokingprevalenceprogramstendtoreduceshortâtermsmokingprevalencebybetween3016,400 to US580,000dependingonthescaleandscopeofintervention.ThecosteffectivenessofschoolâbasedprogramsshowthatonecouldexpectasavingofapproximatelybetweenUS2,000 and US20,000perQALYsavedduetoavertedsmokingafter2â4yearsoffollowâup.9.Workplaceâbasedinterventionscouldrepresentasoundeconomicinvestmenttobothemployersandthesocietyatlarge,achievingabenefitâcostratioofupto8.75andgenerating12âmonthemployercostsavingsofbetween150 and $540 per nonsmoking employee. Implementing smoke-free workplaces would also produce myriads of new quitters and reduce the amount of cigarette consumption, leading to cost savings in direct medical costs to primary health care providers. Workplace interventions are, however, likely to yield far greater economic benefits over the long term, as reduced prevalence will lead to a healthier and more productive workforce.
Conclusions: We conclude that the direct costs and externalities to society of smoking far outweigh any benefits that might be accruable at least when considered from the perspective of socially desirable outcomes (ie, in terms of a healthy population and a productive workforce). There are enormous differences in the application and economic measurement of smoking cessation measures across various types of interventions, methodologies, countries, economic settings, and health care systems, and these may have affected the comparability of the results of the studies reviewed. However, on the balance of probabilities, most of the cessation measures reviewed have not only proved effective but also cost effective in delivering the much desired cost savings and net gains to individuals and primary health care providers