Infodemiological patterns in searching medication errors: relationship with risk management and shift work.


Journal

European review for medical and pharmacological sciences
ISSN: 2284-0729
Titre abrégé: Eur Rev Med Pharmacol Sci
Pays: Italy
ID NLM: 9717360

Informations de publication

Date de publication:
Jun 2019
Historique:
entrez: 13 7 2019
pubmed: 13 7 2019
medline: 2 10 2020
Statut: ppublish

Résumé

Western world health care systems have been trying to improve their efficiency and effectiveness in order to respond properly to population aging and non-communicable diseases epidemic. Treatment of the elderly population is becoming complex due to the high number of prescribed drugs because of multimorbidity. Errors in drugs administration in different health care related settings are an actual important issue due to different causes. Aim of this observational study is to measure the online interest in seeking medication errors information related to risk management and shift work. We investigated Google Trends® for popular search relating to medication errors, risk management and shift work. Relative search volumes (RSVs) were evaluated from 2008 to 2018. A comparison between RSV curves related to medication errors, risk management and shift work was carried out. Then, we compared the world to Italian search. RSVs were persistently higher for risk management than for medication errors (mean RSVs 069 vs. 48%) and RSVs were stably higher for medication errors than shift work (mean RSVs 48 vs. 22%). In Italy, RSVs were much lower compared to the rest of the world, and RSVs for medication errors during the study period were negligible. Mean RSVs for risk management and shift work were 3 and 25%, respectively. RSVs related to medication errors and clinical risk management were correlated (r=0.520, p<0.0001). Google Trends® search query volumes related to medication errors, risk management and shift work are different. RSVs for risk management are higher, and they are correlated with medication errors. Also, shift work search appears to be lower. These results should be interpreted in order to correctly evaluate how to decrease the number of medication errors in different health care related setting.

Identifiants

pubmed: 31298407
doi: 10.26355/eurrev_201906_18224
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

5522-5529

Auteurs

E Di Simone (E)

Department of Biomedicine and Prevention, Tor Vergata University of Rome, Rome, Italy. f.fabbian@ospfe.it.

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Classifications MeSH