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The impact of a prescription review and prescriber feedback system on prescribing practices in primary care clinics: a cluster randomised trial

Overview of attention for article published in BMC Primary Care, July 2018
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Title
The impact of a prescription review and prescriber feedback system on prescribing practices in primary care clinics: a cluster randomised trial
Published in
BMC Primary Care, July 2018
DOI 10.1186/s12875-018-0808-4
Pubmed ID
Authors

Wei Yin Lim, Amar Singh HSS, Li Meng Ng, Selva Rani John Jasudass, Sondi Sararaks, Paranthaman Vengadasalam, Lina Hashim, Ranjit Kaur Praim Singh

Abstract

To evaluate the effectiveness of a structured prescription review and prescriber feedback program in reducing prescribing errors in government primary care clinics within an administrative region in Malaysia. This was a three group, pragmatic, cluster randomised trial. In phase 1, we randomised 51 clinics to a full intervention group (prescription review and league tables plus authorised feedback letter), a partial intervention group (prescription review and league tables), and a control group (prescription review only). Prescribers in these clinics were the target of our intervention. Prescription reviews were performed by pharmacists; 20 handwritten prescriptions per prescriber were consecutively screened on a random day each month, and errors identified were recorded in a standardised data collection form. Prescribing performance feedback was conducted at the completion of each prescription review cycle. League tables benchmark prescribing errors across clinics and individual prescribers, while the authorised feedback letter detailed prescribing performance based on a rating scale. In phase 2, all clinics received the full intervention. Pharmacists were trained on data collection, and all data were audited by researchers as an implementation fidelity strategy. The primary outcome, percentage of prescriptions with at least one error, was displayed in p-charts to enable group comparison. A total of 32,200 prescriptions were reviewed. In the full intervention group, error reduction occurred gradually and was sustained throughout the 8-month study period. The process mean error rate of 40.7% (95% CI 27.4, 29.5%) in phase 1 reduced to 28.4% (95% CI 27.4, 29.5%) in phase 2. In the partial intervention group, error reduction was not well sustained and showed a seasonal pattern with larger process variability. The phase 1 error rate averaging 57.9% (95% CI 56.5, 59.3%) reduced to 44.8% (95% CI 43.3, 46.4%) in phase 2. There was no evidence of improvement in the control group, with phase 1 and phase 2 error rates averaging 41.1% (95% CI 39.6, 42.6%) and 39.3% (95% CI 37.8, 40.9%) respectively. The rate of prescribing errors in primary care settings is high, and routine prescriber feedback comprising league tables and a feedback letter can effectively reduce prescribing errors. National Medical Research Register: NMRR-12-108-11,289 (5th March 2012).

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 79 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 79 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 10 13%
Student > Master 9 11%
Student > Ph. D. Student 8 10%
Other 7 9%
Researcher 7 9%
Other 13 16%
Unknown 25 32%
Readers by discipline Count As %
Medicine and Dentistry 17 22%
Pharmacology, Toxicology and Pharmaceutical Science 8 10%
Nursing and Health Professions 5 6%
Economics, Econometrics and Finance 2 3%
Immunology and Microbiology 2 3%
Other 14 18%
Unknown 31 39%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 31 July 2018.
All research outputs
#15,989,045
of 25,385,509 outputs
Outputs from BMC Primary Care
#1,504
of 2,359 outputs
Outputs of similar age
#195,303
of 340,393 outputs
Outputs of similar age from BMC Primary Care
#43
of 68 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. This one is in the 36th percentile – i.e., 36% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,359 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.7. This one is in the 35th percentile – i.e., 35% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 340,393 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 68 others from the same source and published within six weeks on either side of this one. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.