ReviewPharmacy world & science : PWS1999
Prescription data as a tool in pharmacotherapy audit (I). General considerations.
Review in Pharmacy world & science : PWS, 1999. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 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
4 citing papers in PubMed.
- Adherence to guideline recommendations for urinary tract infections in adult women: a cross-sectional study.Primary health care research & development · 2021Observational
- Prescribing indicators. Development and validation of guideline-based prescribing indicators as an instrument to measure the variation in the prescribing behaviour of general practitioners.European journal of clinical pharmacology · 2004Article
- Comparison of indicators assessing the quality of drug prescribing for asthma.Health services research · 2001Article
- Prescription data as a tool in pharmacotherapy audit (II). The development of an instrument.Pharmacy world & science : PWS · 1999Review
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
No grant is acknowledged in the PubMed record.
Abstract
This article discusses how prescription data that are available from pharmacies can be used as a tool to support the improvement of prescribing behaviour. For the optimal use of prescription data in pharmacotherapeutic audit, the specific aim of the audit meeting must be clear. Next, appropriate measures (quality of drug choice, volume, cost) have to be selected for the presentation and discussion of prescribing. For several aims of audit meetings, suggestions for adequate measures are given. For each stage of behavioural change the article describes why and how prescription data can provide a useful contribution. Finally, recommendations are given regarding prerequisites for the optimal use of prescription data. Important factors are that the prescription data should sufficiently cover the physicians' patient population, information regarding the extent of repeat prescribing is needed, and the prescribing of drugs with multiple indications can cause difficulties with the interpretation of the graphs. With this information in mind, feedback on prescribing can be tailored to the audit groups' needs and targeted to the intervention that is pursued.
Indexed as
Identifiers
10380235What 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.