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Changes in opioid prescribing and prescription drug monitoring program utilization following electronic health record integration-Massachusetts, 2018.
Corry, Brian; Cremer, Laura J; Donnelly, Christopher; Sargent, Wesley M; Mells, Jamie; Kelly, Rodd; Reynolds, Joshua; Young, Leonard D.
Afiliação
  • Corry B; Division of Overdose Prevention, National Center for Injury Prevention and Control, Centers for Disease Control and Prevention, Atlanta, GA 30341, USA.
  • Cremer LJ; Division of Overdose Prevention, National Center for Injury Prevention and Control, Centers for Disease Control and Prevention, Atlanta, GA 30341, USA.
  • Donnelly C; Division of Overdose Prevention, National Center for Injury Prevention and Control, Centers for Disease Control and Prevention, Atlanta, GA 30341, USA.
  • Sargent WM; Division of Overdose Prevention, National Center for Injury Prevention and Control, Centers for Disease Control and Prevention, Atlanta, GA 30341, USA.
  • Mells J; Immunization Services Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, GA 30333, USA.
  • Kelly R; Massachusetts Department of Public Health, Massachusetts Prescription Monitoring Program, Bureau of Health Professions Licensure, Boston, MA 02108, USA.
  • Reynolds J; Massachusetts Department of Public Health, Massachusetts Prescription Monitoring Program, Bureau of Health Professions Licensure, Boston, MA 02108, USA.
  • Young LD; Massachusetts Department of Public Health, Massachusetts Prescription Monitoring Program, Bureau of Health Professions Licensure, Boston, MA 02108, USA.
Pain Med ; 25(6): 380-386, 2024 May 03.
Article em En | MEDLINE | ID: mdl-38407391
ABSTRACT

OBJECTIVE:

In this study, we explored key prescription drug monitoring program-related outcomes among clinicians from a broad cohort of Massachusetts healthcare facilities following prescription drug monitoring program (PDMP) and electronic health record (EHR) data integration.

METHODS:

Outcomes included seven-day rolling averages of opioids prescribed, morphine milligram equivalents (MMEs) prescribed, and PDMP queries. We employed a longitudinal study design to analyze PDMP data over a 15-month study period which allowed for six and a half months of pre- and post-integration observations surrounding a two-month integration period. We used longitudinal mixed effects models to examine the effect of EHR integration on each of the key outcomes.

RESULTS:

Following EHR integration, PDMP queries increased both through the web-based portal and in total (0.037, [95% CI = 0.017, 0.057] and 0.056, [95% CI = 0.035, 0.077]). Both measures of clinician opioid prescribing declined throughout the study period; however, no significant effect following EHR integration was observed. These results were consistent when our analysis was applied to a subset consisting only of continuous PDMP users.

CONCLUSIONS:

Our results support EHR integration contributing to PDMP utilization by clinicians but do not support changes in opioid prescribing behavior.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Padrões de Prática Médica / Registros Eletrônicos de Saúde / Programas de Monitoramento de Prescrição de Medicamentos / Analgésicos Opioides Limite: Humans País/Região como assunto: America do norte Idioma: En Revista: Pain Med Assunto da revista: NEUROLOGIA / PSICOFISIOLOGIA Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos País de publicação: Reino Unido

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Padrões de Prática Médica / Registros Eletrônicos de Saúde / Programas de Monitoramento de Prescrição de Medicamentos / Analgésicos Opioides Limite: Humans País/Região como assunto: America do norte Idioma: En Revista: Pain Med Assunto da revista: NEUROLOGIA / PSICOFISIOLOGIA Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos País de publicação: Reino Unido