| dc.contributor.author | Castillo-Carniglia, Alvaro [Univ Mayor, Fac Humanidades, Soc & Hlth Res Ctr] | es_CL |
| dc.contributor.author | Cerda, Magdalena; Ponicki, William R.; Smith, Nathan; Rivera-Aguirre, Ariadne; Davis, Corey S.; Marshall, Brandon D. L.; Fink, David S.; Henry, Stephen G.; Wintemute, Garen J.; Gaidus, Andrew; Gruenewald, Paul J.; Martins, Silvia S. | es_CL |
| dc.date.accessioned | 2020-04-12T14:11:55Z | |
| dc.date.accessioned | 2020-04-14T15:37:38Z | |
| dc.date.available | 2020-04-12T14:11:55Z | |
| dc.date.available | 2020-04-14T15:37:38Z | |
| dc.date.issued | 2020 | es_CL |
| dc.identifier.citation | Cerdá, M., Ponicki, W. R., Smith, N., Rivera-Aguirre, A., Davis, C. S., Marshall, B. D., ... & Gaidus, A. (2020). Measuring relationships between proactive reporting state-level prescription drug monitoring programs and county-level fatal prescription opioid overdoses. Epidemiology, 31(1), 32-42. | es_CL |
| dc.identifier.issn | 1044-3983 | es_CL |
| dc.identifier.issn | 1531-5487 | es_CL |
| dc.identifier.uri | https://doi.org/10.1097/EDE.0000000000001123 | es_CL |
| dc.identifier.uri | http://repositorio.umayor.cl/xmlui/handle/sibum/6384 | |
| dc.description.abstract | Background: Prescription drug monitoring programs (PDMPs) that collect and distribute information on dispensed controlled substances have been adopted by nearly all US states. We know little about program characteristics that modify PDMP impact on prescription opioid (PO) overdose deaths. Methods: We measured associations between adoption of any PDMP and changes in fatal PO overdoses in 2002-2016 across 3109 counties in 49 states and D.C. We then measured changes related to the adoption of"proactive PDMPs,"which report outlying prescribing/dispensing patterns and provide broader access to PDMP data by law enforcement. Comparisons were made within 3 time intervals that broadly represent the evolution of PDMPs (2002-2004, 2005-2009, and 2010-2016). We modeled overdoses using Bayesian space-time models. Results: Adoption of electronic PDMP access was associated with 9% lower rates of fatal PO overdoses after three years (rate ratio [RR] = 0.91, 95% credible interval [CI]: 0.88-0.93) with well-supported effects for methadone (RR = 0.86,95% CI: 0.82-0.90) and other synthetic opioids (RR = 0.82, 95% CI: 0.77-0.86). Compared with states with no/weak PDMPs, proactive PDMPs were associated with fewer deaths attributed to natural/semi-synthetic opioids (2002-2004: RR = 0.72 [0.66-0.78]; 2005-2009: RR = 0.93 [0.90-0.97]; 2010-2016: 0.89 [0.86-0.92]) and methadone (2002-2004: RR = 0.77 [0.69-0.85]; 2010-2016: RR = 0.90 [0.86-0.94]). Unintended effects were observed for synthetic opioids other than methadone (2005-2009: RR = 1.29 [1.21-1.38]; 2010-2016: RR = 1.22 [1.16-1.29]). Conclusions: State adoption of PDMPs was associated with fewer PO deaths overall while proactive PDMPs alone were associated with fewer deaths related to natural/semisynthetic opioids and methadone, the specific targets of these programs. See video abstract at http://links.lww.com/EDE/B619. | es_CL |
| dc.description.sponsorship | National Institute on Drug AbuseUnited States Department of Health & Human ServicesNational Institutes of Health (NIH) - USANIH National Institute on Drug Abuse (NIDA) [R01DA039962, T32DA031099] | es_CL |
| dc.description.sponsorship | The results reported herein correspond to specific aims of grant R01DA039962 to investigator M.C., where R01DA039962 is a project number, M.C. is the Principal Investigator, and the National Institute on Drug Abuse is the funding agency. D.S.F. was also supported by grant number T32DA031099 from the National Institute on Drug Abuse.. | es_CL |
| dc.language.iso | en | es_CL |
| dc.publisher | LIPPINCOTT WILLIAMS & WILKINS | es_CL |
| dc.rights | Attribution-NonCommercial-NoDerivs 3.0 Chile | |
| dc.source | Epidemiology, ENE, 2020. 31(1): p. 32-42 | |
| dc.subject | Public, Environmental & Occupational Health | es_CL |
| dc.title | Measuring Relationships Between Proactive Reporting State-level Prescription Drug Monitoring Programs and County-level Fatal Prescription Opioid Overdoses | es_CL |
| dc.type | Artículo | es_CL |
| umayor.facultad | CIENCIAS | |
| umayor.politicas.sherpa/romeo | RoMEO yellow journal (Puede archivar el pre-print (ie la versión previa a la revisión por pares). Disponible en: http://sherpa.ac.uk/romeo/index.php | es_CL |
| umayor.indexado | WOS:000502323200014 | es_CL |
| umayor.indexado | PMID: 31596794 | es_CL |
| dc.identifier.doi | DOI: 10.1097/EDE.0000000000001123 | es_CL] |
| umayor.indicadores.wos-(cuartil) | Q1 | es_CL |
| umayor.indicadores.scopus-(scimago-sjr) | SCIMAGO/ INDICE H: 155 H | es_CL |