Loading…

State or market? How to effectively decrease alcohol-related crash fatalities and injuries

BackgroundIt is estimated that more than 270 000 people die yearly in alcohol-related crashes globally. To tackle this burden, government interventions, such as laws which restrict blood alcohol concentration (BAC) levels and increase penalties for drunk drivers, have been implemented. The introduct...

Full description

Saved in:
Bibliographic Details
Published in:Journal of epidemiology and community health (1979) 2020-06, Vol.74 (6), p.502-509
Main Authors: Nazif-Muñoz, Jose I, Batomen, Brice, Oulhote, Youssef, Spengler, Jack, Nandi, Arijit
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by cdi_FETCH-LOGICAL-b460t-91784972a9a17e2687891963d26b57283c60fe8d1df89f80f2009c7eb2db22993
cites cdi_FETCH-LOGICAL-b460t-91784972a9a17e2687891963d26b57283c60fe8d1df89f80f2009c7eb2db22993
container_end_page 509
container_issue 6
container_start_page 502
container_title Journal of epidemiology and community health (1979)
container_volume 74
creator Nazif-Muñoz, Jose I
Batomen, Brice
Oulhote, Youssef
Spengler, Jack
Nandi, Arijit
description BackgroundIt is estimated that more than 270 000 people die yearly in alcohol-related crashes globally. To tackle this burden, government interventions, such as laws which restrict blood alcohol concentration (BAC) levels and increase penalties for drunk drivers, have been implemented. The introduction of private-sector measures, such as ridesharing, is regarded as alternatives to reduce drunk driving and related sequelae. However, it is unclear whether state and private efforts complement each other to reduce this public health challenge.MethodsWe conducted interrupted time-series analyses using weekly alcohol-related traffic fatalities and injuries per 1 000 000 population in three urban conglomerates (Santiago, Valparaíso and Concepción) in Chile for the period 2010–2017. We selected cities in which two state interventions—the ‘zero tolerance law’ (ZTL), which decreased BAC, and the ‘Emilia law’ (EL), which increased penalties for drunk drivers—were implemented to decrease alcohol-related crashes, and where Uber ridesharing was launched.ResultsIn Santiago, the ZTL was associated with a 29.1% decrease (95% CI 1.2 to 70.2), the EL with a 41.0% decrease (95% CI 5.5 to 93.2) and Uber with a non-significant 28.0% decrease (95% CI −6.4 to 78.5) in the level of weekly alcohol-related traffic fatalities and injuries per 1 000 000 population series. In Concepción, the EL was associated with a 28.9% reduction (95% CI 4.3 to 62.7) in the level of the same outcome. In Valparaíso, the ZTL had a −0.01 decrease (95% CI −0.02 to −0.00) in the trend of weekly alcohol-related crashes per 1 000 000 population series.ConclusionIn Chile, concomitant decreases of alcohol-related crashes were observed after two state interventions were implemented but not with the introduction of Uber. Relationships between public policy interventions, ridesharing and motor vehicle alcohol-related crashes differ between cities and over time, which might reflect differences in specific local characteristics.
doi_str_mv 10.1136/jech-2019-213191
format article
fullrecord <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7320794</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2462335812</sourcerecordid><originalsourceid>FETCH-LOGICAL-b460t-91784972a9a17e2687891963d26b57283c60fe8d1df89f80f2009c7eb2db22993</originalsourceid><addsrcrecordid>eNqFkc1rFTEUxUNR2tePfVcScCOUsfmYl4-NIkVtodCFFsRNyGRufDPmTdok09L_vnm8WrQbV0m4v3O4JwehY0reU8rF6Qhu1TBCdcMop5ruoAVtJWmY5OoVWhDa8oaQ5Y89tJ_zSOpVMr2L9jhjXLVSLNDPb8UWwDHhtU2_oXzE5_Eel4jBe3BluIPwgHtwCWwGbIOLqxiaBKGqeuySzSvsbbFhKANkbKceD9M4p_o4RK-9DRmOns4DdP3l8_ez8-by6uvF2afLpmsFKY2mUrVaMqstlcCEkkpTLXjPRFfXVdwJ4kH1tPdKe0U8I0Q7CR3rO8a05gfow9b3Zu7W0DuYSrLB3KShRnow0Q7m38k0rMyveGckZ0Tqthq8ezJI8XaGXMx6yA5CsBPEOZv6V0vJBRcb9O0LdIxzmmo8w1rBOF8qyipFtpRLMecE_nkZSsymOLMpzmyKM9viquTN3yGeBX-aqsDJFujW4__tHgG2i6HX</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2462335812</pqid></control><display><type>article</type><title>State or market? How to effectively decrease alcohol-related crash fatalities and injuries</title><source>JSTOR Archival Journals and Primary Sources Collection</source><source>BMJ Journals</source><creator>Nazif-Muñoz, Jose I ; Batomen, Brice ; Oulhote, Youssef ; Spengler, Jack ; Nandi, Arijit</creator><creatorcontrib>Nazif-Muñoz, Jose I ; Batomen, Brice ; Oulhote, Youssef ; Spengler, Jack ; Nandi, Arijit</creatorcontrib><description>BackgroundIt is estimated that more than 270 000 people die yearly in alcohol-related crashes globally. To tackle this burden, government interventions, such as laws which restrict blood alcohol concentration (BAC) levels and increase penalties for drunk drivers, have been implemented. The introduction of private-sector measures, such as ridesharing, is regarded as alternatives to reduce drunk driving and related sequelae. However, it is unclear whether state and private efforts complement each other to reduce this public health challenge.MethodsWe conducted interrupted time-series analyses using weekly alcohol-related traffic fatalities and injuries per 1 000 000 population in three urban conglomerates (Santiago, Valparaíso and Concepción) in Chile for the period 2010–2017. We selected cities in which two state interventions—the ‘zero tolerance law’ (ZTL), which decreased BAC, and the ‘Emilia law’ (EL), which increased penalties for drunk drivers—were implemented to decrease alcohol-related crashes, and where Uber ridesharing was launched.ResultsIn Santiago, the ZTL was associated with a 29.1% decrease (95% CI 1.2 to 70.2), the EL with a 41.0% decrease (95% CI 5.5 to 93.2) and Uber with a non-significant 28.0% decrease (95% CI −6.4 to 78.5) in the level of weekly alcohol-related traffic fatalities and injuries per 1 000 000 population series. In Concepción, the EL was associated with a 28.9% reduction (95% CI 4.3 to 62.7) in the level of the same outcome. In Valparaíso, the ZTL had a −0.01 decrease (95% CI −0.02 to −0.00) in the trend of weekly alcohol-related crashes per 1 000 000 population series.ConclusionIn Chile, concomitant decreases of alcohol-related crashes were observed after two state interventions were implemented but not with the introduction of Uber. Relationships between public policy interventions, ridesharing and motor vehicle alcohol-related crashes differ between cities and over time, which might reflect differences in specific local characteristics.</description><identifier>ISSN: 0143-005X</identifier><identifier>EISSN: 1470-2738</identifier><identifier>DOI: 10.1136/jech-2019-213191</identifier><identifier>PMID: 32238476</identifier><language>eng</language><publisher>England: BMJ Publishing Group LTD</publisher><subject><![CDATA[Accidents, Traffic - legislation & jurisprudence ; Accidents, Traffic - mortality ; Accidents, Traffic - prevention & control ; Adult ; Age ; Alcohol ; Alcohol Drinking - adverse effects ; Alcohol Drinking - blood ; Alcohol Drinking - epidemiology ; Alcoholic beverages ; Alcohols ; Automobile Driving - legislation & jurisprudence ; Blood Alcohol Content ; Blood levels ; Car pools ; Cellular telephones ; Chile - epidemiology ; Cities ; Complications ; Conglomerates ; Connectivity ; Driving ability ; Driving Under the Influence - legislation & jurisprudence ; Driving Under the Influence - prevention & control ; Driving Under the Influence - statistics & numerical data ; Drunk driving ; Fatalities ; Female ; Humans ; Injuries ; Interrupted Time Series Analysis ; Law ; Male ; Mortality ; Motor vehicles ; Original Research ; Per capita ; Police ; Population ; Public health ; Public Policy ; Ride sharing services ; Sanctions ; State intervention ; Traffic ; Urban Population ; Vehicles ; Wounds and Injuries - epidemiology ; Wounds and Injuries - prevention & control]]></subject><ispartof>Journal of epidemiology and community health (1979), 2020-06, Vol.74 (6), p.502-509</ispartof><rights>Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.</rights><rights>2020 Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: https://creativecommons.org/licenses/by-nc/4.0/ . Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. 2020</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-b460t-91784972a9a17e2687891963d26b57283c60fe8d1df89f80f2009c7eb2db22993</citedby><cites>FETCH-LOGICAL-b460t-91784972a9a17e2687891963d26b57283c60fe8d1df89f80f2009c7eb2db22993</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://jech.bmj.com/content/74/6/502.full.pdf$$EPDF$$P50$$Gbmj$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://jech.bmj.com/content/74/6/502.full$$EHTML$$P50$$Gbmj$$Hfree_for_read</linktohtml><link.rule.ids>112,113,230,314,780,784,885,3192,27923,27924,77365,77366</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32238476$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Nazif-Muñoz, Jose I</creatorcontrib><creatorcontrib>Batomen, Brice</creatorcontrib><creatorcontrib>Oulhote, Youssef</creatorcontrib><creatorcontrib>Spengler, Jack</creatorcontrib><creatorcontrib>Nandi, Arijit</creatorcontrib><title>State or market? How to effectively decrease alcohol-related crash fatalities and injuries</title><title>Journal of epidemiology and community health (1979)</title><addtitle>J Epidemiol Community Health</addtitle><description>BackgroundIt is estimated that more than 270 000 people die yearly in alcohol-related crashes globally. To tackle this burden, government interventions, such as laws which restrict blood alcohol concentration (BAC) levels and increase penalties for drunk drivers, have been implemented. The introduction of private-sector measures, such as ridesharing, is regarded as alternatives to reduce drunk driving and related sequelae. However, it is unclear whether state and private efforts complement each other to reduce this public health challenge.MethodsWe conducted interrupted time-series analyses using weekly alcohol-related traffic fatalities and injuries per 1 000 000 population in three urban conglomerates (Santiago, Valparaíso and Concepción) in Chile for the period 2010–2017. We selected cities in which two state interventions—the ‘zero tolerance law’ (ZTL), which decreased BAC, and the ‘Emilia law’ (EL), which increased penalties for drunk drivers—were implemented to decrease alcohol-related crashes, and where Uber ridesharing was launched.ResultsIn Santiago, the ZTL was associated with a 29.1% decrease (95% CI 1.2 to 70.2), the EL with a 41.0% decrease (95% CI 5.5 to 93.2) and Uber with a non-significant 28.0% decrease (95% CI −6.4 to 78.5) in the level of weekly alcohol-related traffic fatalities and injuries per 1 000 000 population series. In Concepción, the EL was associated with a 28.9% reduction (95% CI 4.3 to 62.7) in the level of the same outcome. In Valparaíso, the ZTL had a −0.01 decrease (95% CI −0.02 to −0.00) in the trend of weekly alcohol-related crashes per 1 000 000 population series.ConclusionIn Chile, concomitant decreases of alcohol-related crashes were observed after two state interventions were implemented but not with the introduction of Uber. Relationships between public policy interventions, ridesharing and motor vehicle alcohol-related crashes differ between cities and over time, which might reflect differences in specific local characteristics.</description><subject>Accidents, Traffic - legislation &amp; jurisprudence</subject><subject>Accidents, Traffic - mortality</subject><subject>Accidents, Traffic - prevention &amp; control</subject><subject>Adult</subject><subject>Age</subject><subject>Alcohol</subject><subject>Alcohol Drinking - adverse effects</subject><subject>Alcohol Drinking - blood</subject><subject>Alcohol Drinking - epidemiology</subject><subject>Alcoholic beverages</subject><subject>Alcohols</subject><subject>Automobile Driving - legislation &amp; jurisprudence</subject><subject>Blood Alcohol Content</subject><subject>Blood levels</subject><subject>Car pools</subject><subject>Cellular telephones</subject><subject>Chile - epidemiology</subject><subject>Cities</subject><subject>Complications</subject><subject>Conglomerates</subject><subject>Connectivity</subject><subject>Driving ability</subject><subject>Driving Under the Influence - legislation &amp; jurisprudence</subject><subject>Driving Under the Influence - prevention &amp; control</subject><subject>Driving Under the Influence - statistics &amp; numerical data</subject><subject>Drunk driving</subject><subject>Fatalities</subject><subject>Female</subject><subject>Humans</subject><subject>Injuries</subject><subject>Interrupted Time Series Analysis</subject><subject>Law</subject><subject>Male</subject><subject>Mortality</subject><subject>Motor vehicles</subject><subject>Original Research</subject><subject>Per capita</subject><subject>Police</subject><subject>Population</subject><subject>Public health</subject><subject>Public Policy</subject><subject>Ride sharing services</subject><subject>Sanctions</subject><subject>State intervention</subject><subject>Traffic</subject><subject>Urban Population</subject><subject>Vehicles</subject><subject>Wounds and Injuries - epidemiology</subject><subject>Wounds and Injuries - prevention &amp; control</subject><issn>0143-005X</issn><issn>1470-2738</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>9YT</sourceid><recordid>eNqFkc1rFTEUxUNR2tePfVcScCOUsfmYl4-NIkVtodCFFsRNyGRufDPmTdok09L_vnm8WrQbV0m4v3O4JwehY0reU8rF6Qhu1TBCdcMop5ruoAVtJWmY5OoVWhDa8oaQ5Y89tJ_zSOpVMr2L9jhjXLVSLNDPb8UWwDHhtU2_oXzE5_Eel4jBe3BluIPwgHtwCWwGbIOLqxiaBKGqeuySzSvsbbFhKANkbKceD9M4p_o4RK-9DRmOns4DdP3l8_ez8-by6uvF2afLpmsFKY2mUrVaMqstlcCEkkpTLXjPRFfXVdwJ4kH1tPdKe0U8I0Q7CR3rO8a05gfow9b3Zu7W0DuYSrLB3KShRnow0Q7m38k0rMyveGckZ0Tqthq8ezJI8XaGXMx6yA5CsBPEOZv6V0vJBRcb9O0LdIxzmmo8w1rBOF8qyipFtpRLMecE_nkZSsymOLMpzmyKM9viquTN3yGeBX-aqsDJFujW4__tHgG2i6HX</recordid><startdate>202006</startdate><enddate>202006</enddate><creator>Nazif-Muñoz, Jose I</creator><creator>Batomen, Brice</creator><creator>Oulhote, Youssef</creator><creator>Spengler, Jack</creator><creator>Nandi, Arijit</creator><general>BMJ Publishing Group LTD</general><general>BMJ Publishing Group</general><scope>9YT</scope><scope>ACMMV</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7RV</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>88G</scope><scope>88I</scope><scope>8AF</scope><scope>8C1</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>AN0</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>BTHHO</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB0</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M2M</scope><scope>M2P</scope><scope>M7P</scope><scope>NAPCQ</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PSYQQ</scope><scope>Q9U</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>202006</creationdate><title>State or market? How to effectively decrease alcohol-related crash fatalities and injuries</title><author>Nazif-Muñoz, Jose I ; Batomen, Brice ; Oulhote, Youssef ; Spengler, Jack ; Nandi, Arijit</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-b460t-91784972a9a17e2687891963d26b57283c60fe8d1df89f80f2009c7eb2db22993</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Accidents, Traffic - legislation &amp; jurisprudence</topic><topic>Accidents, Traffic - mortality</topic><topic>Accidents, Traffic - prevention &amp; control</topic><topic>Adult</topic><topic>Age</topic><topic>Alcohol</topic><topic>Alcohol Drinking - adverse effects</topic><topic>Alcohol Drinking - blood</topic><topic>Alcohol Drinking - epidemiology</topic><topic>Alcoholic beverages</topic><topic>Alcohols</topic><topic>Automobile Driving - legislation &amp; jurisprudence</topic><topic>Blood Alcohol Content</topic><topic>Blood levels</topic><topic>Car pools</topic><topic>Cellular telephones</topic><topic>Chile - epidemiology</topic><topic>Cities</topic><topic>Complications</topic><topic>Conglomerates</topic><topic>Connectivity</topic><topic>Driving ability</topic><topic>Driving Under the Influence - legislation &amp; jurisprudence</topic><topic>Driving Under the Influence - prevention &amp; control</topic><topic>Driving Under the Influence - statistics &amp; numerical data</topic><topic>Drunk driving</topic><topic>Fatalities</topic><topic>Female</topic><topic>Humans</topic><topic>Injuries</topic><topic>Interrupted Time Series Analysis</topic><topic>Law</topic><topic>Male</topic><topic>Mortality</topic><topic>Motor vehicles</topic><topic>Original Research</topic><topic>Per capita</topic><topic>Police</topic><topic>Population</topic><topic>Public health</topic><topic>Public Policy</topic><topic>Ride sharing services</topic><topic>Sanctions</topic><topic>State intervention</topic><topic>Traffic</topic><topic>Urban Population</topic><topic>Vehicles</topic><topic>Wounds and Injuries - epidemiology</topic><topic>Wounds and Injuries - prevention &amp; control</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Nazif-Muñoz, Jose I</creatorcontrib><creatorcontrib>Batomen, Brice</creatorcontrib><creatorcontrib>Oulhote, Youssef</creatorcontrib><creatorcontrib>Spengler, Jack</creatorcontrib><creatorcontrib>Nandi, Arijit</creatorcontrib><collection>BMJ Open Access Journals</collection><collection>BMJ Journals:Open Access</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Nursing &amp; Allied Health Database</collection><collection>Health &amp; Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Psychology Database (Alumni)</collection><collection>Science Database (Alumni Edition)</collection><collection>STEM Database</collection><collection>Public Health Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central</collection><collection>British Nursing Database</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>BMJ Journals</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>Nursing &amp; Allied Health Database (Alumni Edition)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health &amp; Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Psychology Database</collection><collection>Science Database</collection><collection>Biological Science Database</collection><collection>Nursing &amp; Allied Health Premium</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest One Psychology</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Journal of epidemiology and community health (1979)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Nazif-Muñoz, Jose I</au><au>Batomen, Brice</au><au>Oulhote, Youssef</au><au>Spengler, Jack</au><au>Nandi, Arijit</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>State or market? How to effectively decrease alcohol-related crash fatalities and injuries</atitle><jtitle>Journal of epidemiology and community health (1979)</jtitle><addtitle>J Epidemiol Community Health</addtitle><date>2020-06</date><risdate>2020</risdate><volume>74</volume><issue>6</issue><spage>502</spage><epage>509</epage><pages>502-509</pages><issn>0143-005X</issn><eissn>1470-2738</eissn><abstract>BackgroundIt is estimated that more than 270 000 people die yearly in alcohol-related crashes globally. To tackle this burden, government interventions, such as laws which restrict blood alcohol concentration (BAC) levels and increase penalties for drunk drivers, have been implemented. The introduction of private-sector measures, such as ridesharing, is regarded as alternatives to reduce drunk driving and related sequelae. However, it is unclear whether state and private efforts complement each other to reduce this public health challenge.MethodsWe conducted interrupted time-series analyses using weekly alcohol-related traffic fatalities and injuries per 1 000 000 population in three urban conglomerates (Santiago, Valparaíso and Concepción) in Chile for the period 2010–2017. We selected cities in which two state interventions—the ‘zero tolerance law’ (ZTL), which decreased BAC, and the ‘Emilia law’ (EL), which increased penalties for drunk drivers—were implemented to decrease alcohol-related crashes, and where Uber ridesharing was launched.ResultsIn Santiago, the ZTL was associated with a 29.1% decrease (95% CI 1.2 to 70.2), the EL with a 41.0% decrease (95% CI 5.5 to 93.2) and Uber with a non-significant 28.0% decrease (95% CI −6.4 to 78.5) in the level of weekly alcohol-related traffic fatalities and injuries per 1 000 000 population series. In Concepción, the EL was associated with a 28.9% reduction (95% CI 4.3 to 62.7) in the level of the same outcome. In Valparaíso, the ZTL had a −0.01 decrease (95% CI −0.02 to −0.00) in the trend of weekly alcohol-related crashes per 1 000 000 population series.ConclusionIn Chile, concomitant decreases of alcohol-related crashes were observed after two state interventions were implemented but not with the introduction of Uber. Relationships between public policy interventions, ridesharing and motor vehicle alcohol-related crashes differ between cities and over time, which might reflect differences in specific local characteristics.</abstract><cop>England</cop><pub>BMJ Publishing Group LTD</pub><pmid>32238476</pmid><doi>10.1136/jech-2019-213191</doi><tpages>8</tpages><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 0143-005X
ispartof Journal of epidemiology and community health (1979), 2020-06, Vol.74 (6), p.502-509
issn 0143-005X
1470-2738
language eng
recordid cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7320794
source JSTOR Archival Journals and Primary Sources Collection; BMJ Journals
subjects Accidents, Traffic - legislation & jurisprudence
Accidents, Traffic - mortality
Accidents, Traffic - prevention & control
Adult
Age
Alcohol
Alcohol Drinking - adverse effects
Alcohol Drinking - blood
Alcohol Drinking - epidemiology
Alcoholic beverages
Alcohols
Automobile Driving - legislation & jurisprudence
Blood Alcohol Content
Blood levels
Car pools
Cellular telephones
Chile - epidemiology
Cities
Complications
Conglomerates
Connectivity
Driving ability
Driving Under the Influence - legislation & jurisprudence
Driving Under the Influence - prevention & control
Driving Under the Influence - statistics & numerical data
Drunk driving
Fatalities
Female
Humans
Injuries
Interrupted Time Series Analysis
Law
Male
Mortality
Motor vehicles
Original Research
Per capita
Police
Population
Public health
Public Policy
Ride sharing services
Sanctions
State intervention
Traffic
Urban Population
Vehicles
Wounds and Injuries - epidemiology
Wounds and Injuries - prevention & control
title State or market? How to effectively decrease alcohol-related crash fatalities and injuries
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-11T12%3A57%3A10IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=State%20or%20market?%20How%20to%20effectively%20decrease%20alcohol-related%20crash%20fatalities%20and%20injuries&rft.jtitle=Journal%20of%20epidemiology%20and%20community%20health%20(1979)&rft.au=Nazif-Mu%C3%B1oz,%20Jose%20I&rft.date=2020-06&rft.volume=74&rft.issue=6&rft.spage=502&rft.epage=509&rft.pages=502-509&rft.issn=0143-005X&rft.eissn=1470-2738&rft_id=info:doi/10.1136/jech-2019-213191&rft_dat=%3Cproquest_pubme%3E2462335812%3C/proquest_pubme%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-b460t-91784972a9a17e2687891963d26b57283c60fe8d1df89f80f2009c7eb2db22993%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2462335812&rft_id=info:pmid/32238476&rfr_iscdi=true