Literature DB >> 31495965

High-risk medicines associated with clinically relevant medication-related problems in UK hospitals: A prospective observational study.

Cathy Geeson1, Li Wei2, Bryony Dean Franklin2,3.   

Abstract

The aim of this prospective observational study was to establish associations between the use of high-risk medicine groups and the study outcome: occurrence of at least 1 moderate or severe preventable medication-related problem. Data on medication-related problems, high-risk medicines, and other potential risk factors were collected from adults on medical wards in 2 UK hospitals. Logistic regression modelling was used to determine relationships between high-risk medicines and the study outcome. Among 1503 eligible admissions, 6 high-risk medicine groups were associated with the study outcome on univariable analysis; multivariable analysis found only systemic antimicrobials and epilepsy medicines to be independently associated with the outcome (adjusted odds ratio 1.44, 95% confidence interval 1.08-1.92 and adjusted odds ratio 1.61, 95% confidence interval 1.16-2.25 respectively). Identification of high-risk medicine groups has potential to permit targeting of patients at highest risk of avoidable medication-related harm, but multivariable analysis suggests risk is likely to be multifactorial.
© 2019 The British Pharmacological Society.

Entities:  

Keywords:  clinical pharmacology; epidemiology; health services research; medication safety; pharmacoepidemiology

Mesh:

Year:  2019        PMID: 31495965      PMCID: PMC6983521          DOI: 10.1111/bcp.14119

Source DB:  PubMed          Journal:  Br J Clin Pharmacol        ISSN: 0306-5251            Impact factor:   4.335


  25 in total

1.  A validated, reliable method of scoring the severity of medication errors.

Authors:  B S Dean; N D Barber
Journal:  Am J Health Syst Pharm       Date:  1999-01-01       Impact factor: 2.637

2.  Electronic screening of medical records to detect inpatients at risk of drug-related problems.

Authors:  Isabelle Roten; Stefan Marty; Johnny Beney
Journal:  Pharm World Sci       Date:  2009-12-10

Review 3.  Drug-related problems in hospitalised patients.

Authors:  P M van den Bemt; T C Egberts; L T de Jong-van den Berg; J R Brouwers
Journal:  Drug Saf       Date:  2000-04       Impact factor: 5.606

4.  The majority of hospitalised patients have drug-related problems: results from a prospective study in general hospitals.

Authors:  Hege Salvesen Blix; Kirsten K Viktil; Asmund Reikvam; Tron Anders Moger; Bodil Jahren Hjemaas; Piia Pretsch; Tine Flindt Vraalsen; Elspeth K Walseth
Journal:  Eur J Clin Pharmacol       Date:  2004-10-02       Impact factor: 2.953

5.  An individual patient data meta-analysis on factors associated with adverse drug events in surgical and non-surgical inpatients.

Authors:  Eveline B Boeker; Kim Ram; Joanna E Klopotowska; Monica de Boer; Montse Tuset Creus; Ana L de Andrés; Mio Sakuma; Takeshi Morimoto; Marja A Boermeester; Marcel G W Dijkgraaf
Journal:  Br J Clin Pharmacol       Date:  2015-04       Impact factor: 4.335

6.  Critical appraisal and data extraction for systematic reviews of prediction modelling studies: the CHARMS checklist.

Authors:  Karel G M Moons; Joris A H de Groot; Walter Bouwmeester; Yvonne Vergouwe; Susan Mallett; Douglas G Altman; Johannes B Reitsma; Gary S Collins
Journal:  PLoS Med       Date:  2014-10-14       Impact factor: 11.069

7.  Determination of risk factors for drug-related problems: a multidisciplinary triangulation process.

Authors:  Carole P Kaufmann; Dominik Stämpfli; Kurt E Hersberger; Markus L Lampert
Journal:  BMJ Open       Date:  2015-03-20       Impact factor: 2.692

8.  Development and performance evaluation of the Medicines Optimisation Assessment Tool (MOAT): a prognostic model to target hospital pharmacists' input to prevent medication-related problems.

Authors:  Cathy Geeson; Li Wei; Bryony Dean Franklin
Journal:  BMJ Qual Saf       Date:  2019-03-07       Impact factor: 7.035

9.  Developing consensus on hospital prescribing indicators of potential harms amenable to decision support.

Authors:  Sarah K Thomas; Sarah E McDowell; James Hodson; Ugochi Nwulu; Rachel L Howard; Anthony J Avery; Ann Slee; Jamie J Coleman
Journal:  Br J Clin Pharmacol       Date:  2013-11       Impact factor: 4.335

10.  Prognosis research strategy (PROGRESS) 1: a framework for researching clinical outcomes.

Authors:  Harry Hemingway; Peter Croft; Pablo Perel; Jill A Hayden; Keith Abrams; Adam Timmis; Andrew Briggs; Ruzan Udumyan; Karel G M Moons; Ewout W Steyerberg; Ian Roberts; Sara Schroter; Douglas G Altman; Richard D Riley
Journal:  BMJ       Date:  2013-02-05
View more
  1 in total

1.  High-risk medicines associated with clinically relevant medication-related problems in UK hospitals: A prospective observational study.

Authors:  Cathy Geeson; Li Wei; Bryony Dean Franklin
Journal:  Br J Clin Pharmacol       Date:  2019-12-17       Impact factor: 4.335

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.