Endre søk
RefereraExporteraLink to record
Permanent link

Direct link
Referera
Referensformat
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf
Compared with what?: Estimating the effects of injury prevention policies using the synthetic control method
Karlstads universitet, Fakulteten för hälsa, natur- och teknikvetenskap (from 2013), Institutionen för miljö- och livsvetenskaper (from 2013). Karlstads universitet, Fakulteten för hälsa, natur- och teknikvetenskap (from 2013), Centrum för personsäkerhet (from 2013).ORCID-id: 0000-0002-1189-9950
2018 (engelsk)Inngår i: Injury Prevention, ISSN 1353-8047, E-ISSN 1475-5785, Vol. 24, s. I60-I66Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

Introduction This paper discusses the application of the synthetic control method to injury-related interventions using aggregate data from public information systems. The method selects and determines the optimal control unit in the data by minimising the difference between the pre-intervention outcomes in one treated unit (eg, a state) and a weighted combination of potential control units. Method I demonstrate the synthetic control method by an application to Florida's post-2010 policy and law enforcement initiatives aimed at bringing down opioid overdose deaths. Using opioid-related mortality data for a panel of 46 states observed from 1999 to 2015, the analysis suggests that a weighted combination of Maine (46.1%), Pennsylvania (34.4%), Nevada (5.4%), Washington (5.3%), West Virginia (4.3%) and Oklahoma (3.4%) best predicts the preintervention trajectory of opioid-related deaths in Florida between 1999 and 2009. Model specification and placebo tests, as well as an iterative leave-k-out sensitivity analysis are used as falsification tests. Results The results indicate that the policies have decreased the incidence of opioid-related deaths in Florida by roughly 40% (or -6.19 deaths per 100.000 person-years) by 2015 compared with the evolution projected by the synthetic control unit. Sensitivity analyses yield an average estimate of -4.55 deaths per 100.000 person-years (2.5th percentile: -1.24, 97.5th percentile: -7.92). The estimated cumulative effect in terms of deaths prevented in the postperiod is 3705 (2.5th percentile: 1302, 97.5th percentile: 6412). Discussion Recommendations for practice, future research and potential pitfalls, especially concerning low-count data, are discussed. Replication codes for Stata are provided.

sted, utgiver, år, opplag, sider
BMJ Publishing Group Ltd, 2018. Vol. 24, s. I60-I66
HSV kategori
Forskningsprogram
Folkhälsovetenskap
Identifikatorer
URN: urn:nbn:se:kau:diva-67644DOI: 10.1136/injuryprev-2017-042360ISI: 000433239600011PubMedID: 29127114OAI: oai:DiVA.org:kau-67644DiVA, id: diva2:1218279
Tilgjengelig fra: 2018-06-14 Laget: 2018-06-14 Sist oppdatert: 2019-08-14bibliografisk kontrollert

Open Access i DiVA

fulltext(665 kB)23 nedlastinger
Filinformasjon
Fil FULLTEXT01.pdfFilstørrelse 665 kBChecksum SHA-512
790f7deea88de46a357a565b152158ae33adbc590409414b707e430c826895807b14d78dd89302d5501dc73aa1cdb428d4c7cac1c1a76538d801764694963aee
Type fulltextMimetype application/pdf

Andre lenker

Forlagets fulltekstPubMed

Personposter BETA

Bonander, Carl

Søk i DiVA

Av forfatter/redaktør
Bonander, Carl
Av organisasjonen
I samme tidsskrift
Injury Prevention

Søk utenfor DiVA

GoogleGoogle Scholar
Totalt: 23 nedlastinger
Antall nedlastinger er summen av alle nedlastinger av alle fulltekster. Det kan for eksempel være tidligere versjoner som er ikke lenger tilgjengelige

doi
pubmed
urn-nbn

Altmetric

doi
pubmed
urn-nbn
Totalt: 89 treff
RefereraExporteraLink to record
Permanent link

Direct link
Referera
Referensformat
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf