ReviewBritish journal of clinical pharmacology2020
Improving prescribing through big data approaches-Ten years of the Scottish Prescribing Information System.
Review in British journal of clinical pharmacology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
6 citing papers in PubMed.
- Feedback of Antibiotic Prescribing in Primary Care (FAPPC) trial: results of a real-world cluster randomized controlled trial in Scotland, UK.The Journal of antimicrobial chemotherapy · 2022Trial
- UK Antimicrobial Registry: Virtual Registry-an innovative surveillance approach for monitoring the real-world use and effectiveness of newly licensed antimicrobials in Scotland.JAC-antimicrobial resistance · 2026Article
- Fostering behaviour change in farm veterinary practice: 'champion' goal-setting and implementation considerations for antimicrobial stewardship.JAC-antimicrobial resistance · 2025Article
- An analysis of prescribing data in attention-deficit hyperactivity disorder for adolescents and adults in Scotland.BJPsych open · 2024Article
- Data resource profile: the Scottish Combined Medicines Dataset (SCoMeD).International journal of population data science · 2023Article
- Improving prescribing through big data approaches-Ten years of the Scottish Prescribing Information System.British journal of clinical pharmacology · 2020Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
Medicines are a major component of modern healthcare delivery, both in resource consumption and as drivers of innovation. The ever-increasing application of digitalisation within day-to-day living and as part of our healthcare systems-with the resultant data generation-presents the opportunity to better define the populations exposed to medicines, and their benefits and harm in real world settings. This article outlines the development of the Scottish National Prescribing Information System (PIS) and describes how this capability is being used to support the safe and effective use of medicines, both nationally and internationally. Since 2009, PIS has included e-prescribed/e-dispensed and reimbursed medicines data, now totalling 976 million prescriptions, with codified structured data on dose instructions. A literature review, covering the period from January 2009 to March 2019, identified 40 full publications using PIS, the first occurring in 2014. The majority involved pharmacoepidemiology/drug-use studies (50%) in cancer and cardiovascular disease. Measuring the value and impact of PIS was extended beyond publication quantification by illustrating the translation of PIS outputs into the learning health system at scale. The developing Scottish capabilities add breadth and depth to the wider evolving international environment, and offer the potential to contribute collegiately to the global effort on medicine safety and effectiveness, including support for the World Health Organisation Global Patient Safety Challenge: Medication Without Harm.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.