Your browser doesn't support javascript.
loading
The Medicines Intelligence Data Platform: A Population-Based Data Resource From New South Wales, Australia.
Zoega, Helga; Falster, Michael O; Gillies, Malcolm B; Litchfield, Melisa; Camacho, Ximena; Bruno, Claudia; Daniels, Benjamin; Donnolley, Natasha; Havard, Alys; Schaffer, Andrea L; Chambers, Georgina; Degenhardt, Louisa; Dobbins, Timothy; Gisev, Natasa; Ivers, Rebecca; Jorm, Louisa; Liu, Bette; Vajdic, Claire M; Pearson, Sallie-Anne.
Afiliación
  • Zoega H; School of Population Health, Faculty of Medicine and Health, UNSW Sydney, Sydney, Australia.
  • Falster MO; Centre of Public Health Sciences, Faculty of Medicine, University of Iceland, Reykjavík, Iceland.
  • Gillies MB; School of Population Health, Faculty of Medicine and Health, UNSW Sydney, Sydney, Australia.
  • Litchfield M; School of Population Health, Faculty of Medicine and Health, UNSW Sydney, Sydney, Australia.
  • Camacho X; School of Population Health, Faculty of Medicine and Health, UNSW Sydney, Sydney, Australia.
  • Bruno C; School of Population Health, Faculty of Medicine and Health, UNSW Sydney, Sydney, Australia.
  • Daniels B; School of Population Health, Faculty of Medicine and Health, UNSW Sydney, Sydney, Australia.
  • Donnolley N; School of Population Health, Faculty of Medicine and Health, UNSW Sydney, Sydney, Australia.
  • Havard A; School of Population Health, Faculty of Medicine and Health, UNSW Sydney, Sydney, Australia.
  • Schaffer AL; School of Population Health, Faculty of Medicine and Health, UNSW Sydney, Sydney, Australia.
  • Chambers G; National Drug and Alcohol Research Centre, Faculty of Medicine and Health, UNSW Sydney, Sydney, Australia.
  • Degenhardt L; School of Population Health, Faculty of Medicine and Health, UNSW Sydney, Sydney, Australia.
  • Dobbins T; The Bennett Institute for Applied Data Science, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
  • Gisev N; Centre for Big Data Research in Health, Faculty of Medicine and Health, UNSW Sydney, Sydney, Australia.
  • Ivers R; National Drug and Alcohol Research Centre, Faculty of Medicine and Health, UNSW Sydney, Sydney, Australia.
  • Jorm L; School of Population Health, Faculty of Medicine and Health, UNSW Sydney, Sydney, Australia.
  • Liu B; National Drug and Alcohol Research Centre, Faculty of Medicine and Health, UNSW Sydney, Sydney, Australia.
  • Vajdic CM; School of Population Health, Faculty of Medicine and Health, UNSW Sydney, Sydney, Australia.
  • Pearson SA; Centre for Big Data Research in Health, Faculty of Medicine and Health, UNSW Sydney, Sydney, Australia.
Pharmacoepidemiol Drug Saf ; 33(8): e5887, 2024 Aug.
Article en En | MEDLINE | ID: mdl-39145404
ABSTRACT

BACKGROUND:

The Medicines Intelligence (MedIntel) Data Platform is an anonymised linked data resource designed to generate real-world evidence on prescribed medicine use, effectiveness, safety, costs and cost-effectiveness in Australia.

RESULTS:

The platform comprises Medicare-eligible people who are ≥18 years and residing in New South Wales (NSW), Australia, any time during 2005-2020, with linked administrative data on dispensed prescription medicines (Pharmaceutical Benefits Scheme), health service use (Medicare Benefits Schedule), emergency department visits (NSW Emergency Department Data Collection), hospitalisations (NSW Admitted Patient Data Collection) plus death (National Death Index) and cancer registrations (NSW Cancer Registry). Data are currently available to 2022, with approval to update the cohort and data collections annually. The platform includes 7.4 million unique people across all years, covering 36.9% of the Australian adult population; the overall population increased from 4.8 M in 2005 to 6.0 M in 2020. As of 1 January 2019 (the last pre-pandemic year), the cohort had a mean age of 48.7 years (51.1% female), with most people (4.4 M, 74.7%) residing in a major city. In 2019, 4.4 M people (73.3%) were dispensed a medicine, 1.2 M (20.5%) were hospitalised, 5.3 M (89.4%) had a GP or specialist appointment, and 54 003 people died. Anti-infectives were the most prevalent medicines dispensed to the cohort in 2019 (43.1%), followed by nervous system (32.2%) and cardiovascular system medicines (30.2%).

CONCLUSION:

The MedIntel Data Platform creates opportunities for national and international research collaborations and enables us to address contemporary clinically- and policy-relevant research questions about quality use of medicines and health outcomes in Australia and globally.
Asunto(s)
Palabras clave

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Bases de Datos Factuales Límite: Adolescent / Adult / Aged / Aged80 / Female / Humans / Male / Middle aged País/Región como asunto: Oceania Idioma: En Revista: Pharmacoepidemiol Drug Saf Asunto de la revista: EPIDEMIOLOGIA / TERAPIA POR MEDICAMENTOS Año: 2024 Tipo del documento: Article País de afiliación: Australia

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Bases de Datos Factuales Límite: Adolescent / Adult / Aged / Aged80 / Female / Humans / Male / Middle aged País/Región como asunto: Oceania Idioma: En Revista: Pharmacoepidemiol Drug Saf Asunto de la revista: EPIDEMIOLOGIA / TERAPIA POR MEDICAMENTOS Año: 2024 Tipo del documento: Article País de afiliación: Australia