European Journal of Hospital Pharmacy | VOL. 28

4CPS-336\u2005Impact of check of medication appropriateness (CMA) in optimising analgesic prescribing

Publication Date Mar 1, 2021


Background and importancePain therapy in inpatients is regularly suboptimal and might be improved by clinical pharmacy services with the aim of optimising pain control and reducing iatrogenic harm related to adverse drug events and overuse. In our hospital, we have implemented a software supported check of medication appropriateness (CMA), which is a centralised pharmacist led service consisting of a clinical rule based screening for potentially inappropriate prescriptions (PIPs) and a subsequent medication review by pharmacists.Aim and objectivesWe aimed to investigate the impact of the CMA on pain related prescribing.Material and methodsA quasi-experimental study was performed in a 1995 bed tertiary hospital, using an interrupted time series design. Pre-implementation, patients were exposed to standard of care. Afterwards, a pain focused CMA comprising 12 clinical rules pertaining to analgesic prescribing were implemented in the post-implementation period. A regression model was used to assess the impact of the intervention on the number of pain related residual PIPs. For the pre-implementation period, data collection was performed retrospectively (January 2016 to December 2018). Post-implementation (January 2019 to July 2020), an initial PIP was identified prospectively in the CMA. The total number of recommendations and acceptance rate were recorded for the post-implementation period.ResultsAt baseline, the median proportion of residual PIPs was 69.0% (range 50.0–83.3%) with a median number of 13.1 (range 9.5–15.8) resid...


Potentially Inappropriate Prescriptions Post-implementation Period Total Number Of Recommendations Use Of Clinical Rules Clinical Rules Interrupted Time Series Clinical Pharmacy Services Therapy In Inpatients Analgesic Prescribing Pharmacist Involvement

Round-ups are the summaries of handpicked papers around trending topics published every week. These would enable you to scan through a collection of papers and decide if the paper is relevant to you before actually investing time into reading it.

Coronavirus Research Articles published between Jan 30, 2023 to Feb 05, 2023

R DiscoveryFeb 06, 2023
R DiscoveryArticles Included:  5

The Coronavirus Disease 2019 (COVID-19), caused by Severe Acute Respiratory Syndrome Coronavirus type 2 (SARS-CoV-2), belongs to emerging and reemergi...

Read More

Climate change Research Articles published between Jan 30, 2023 to Feb 05, 2023

R DiscoveryFeb 06, 2023
R DiscoveryArticles Included:  3

Introduction: The IOC and the Olympic Games have made a visible transition toward sustainability in the last two decades. While the IOC has acknowledg...

Read More

Gender Equality Research Articles published between Jan 30, 2023 to Feb 05, 2023

R DiscoveryFeb 06, 2023
R DiscoveryArticles Included:  5

Gender inequity in Science, Technology, Engineering, and Medicine (STEM) fields, including parasitology, continues to limit the participation of women...

Read More

Coronavirus Pandemic

You can also read COVID related content on R COVID-19

R ProductsCOVID-19


Creating the world’s largest AI-driven & human-curated collection of research, news, expert recommendations and educational resources on COVID-19

COVID-19 Dashboard

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on “as is” basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The Copyright Law.