The use of big data in psychiatry - the role of pharmacy registries

• Type: Summary of Presentation in an International Conference
• Date: 2021

Authors

Goncalves Pinho, M (Author) FMUP; Ribeiro, JP (Author) Other; Freitas A (Author) FMUP; Mota, P (Author) Other

Conference proceedings International

Title: 29th European Congress of Psychiatry

Pages: S793-S793

Indexing

ISI Web of Knowledge - 10 Citations

Other information

Authenticus ID: P-00V-DKD

DOI: 10.1192/j.eurpsy.2021.2096

Abstract (EN): <jats:sec id="S0924933821020964_sec13127" sec-type="intro"><jats:title>Introduction</jats:title><jats:p>Administrative databases (AD) are repositories of administrative and clinical data related to patient contact episodes with all sorts of health facilities (primary care, hospitals, pharmacies,¿).The large number of patients/contact episodes with pharmaceutical facilities available, the systematic and broad register and the fact that AD provides Real-world data are some of the pros in using AD data.</jats:p></jats:sec><jats:sec id="S0924933821020964_sec13128"><jats:title>Objectives</jats:title><jats:p>To perform a narrative review on the role of Big Data pharmaceutical registries in Mental Health research.</jats:p></jats:sec><jats:sec id="S0924933821020964_sec13129" sec-type="methods"><jats:title>Methods</jats:title><jats:p>We conducted a narrative review using MEDLINE and Google Scholar databases in order to analyse current literature regarding the role of BigData pharmaceutical registries in Mental Health Research.</jats:p></jats:sec><jats:sec id="S0924933821020964_sec13130" sec-type="results"><jats:title>Results</jats:title><jats:p>Administrative variables like drug names and prices may be used and linked to other clinical variables such as patients disease, in-hospital mortality, length of stay,(¿). The use of electronic medical records may also contribute to systematic surveillance approaches like local or national pharmacovigilance strategies, identification of patients at risk of developing complications and software pop-up warnings related to medication dosage, duplication and lateral effects. The use of Big Data pharmaceutical registries allows to create predictive epidemiological models regarding drugs lateral effects or interactions and may help to perform pharmacovigilance phase 4 clinical trials. Its use may be applied to the optimization of clinical decision, monitoring of drug adverse events, drug cost and administrative monitoring and as surrogate measures of quality care indicators.</jats:p></jats:sec><jats:sec id="S0924933821020964_sec13131" sec-type="conclusions"><jats:title>Conclusions</jats:title><jats:p>Big Data use in pharmaceutical registries allows to collect large and important clinical and administrative data that may be later used in Mental Health care and research.</jats:p></jats:sec><jats:sec id="S0924933821020964_sec13132"><jats:title>Disclosure</jats:title><jats:p>No significant relationships.</jats:p></jats:sec>

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 1