Evidence map›Paper›PMID 29450268›Full record

ArticleBMJ open quality2017

Patient-centred improvement to repeat prescribing using the Always Event concept.

Katherine Anne Grosset, Elaine Deary, Nancy El-Farargy

Erratum issuedAbstract read
In one paragraph

Article in BMJ open quality, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Evaluation and pharmacists perspective of repeat prescribing process in refill clinics.Saudi pharmaceutical journal : SPJ : the official publication of the Saudi Pharmaceutical Society · 2021
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Katherine Anne GrossetThe Cairns Practice, Shettleston Health Centre, Glasgow, UK.
Elaine DearyThe Cairns Practice, Shettleston Health Centre, Glasgow, UK.
Nancy El-FarargyNHS Education for Scotland, Edinburgh, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Repeat prescriptions are prescriptions issued to a patient for a second or subsequent time without requiring a consultation with a doctor. Repeat prescribing is common and an efficient system is necessary to deliver a high-quality service. Always Events can be used to drive patient-centred improvements in healthcare delivery. Our aim was to use the Always Event concept to improve our repeat prescribing system. This quality improvement project was carried out in a deprived, inner-city general practice setting in Glasgow, UK. 51 patients taking repeat medications completed short questionnaires, and the Always Event 'Repeat prescriptions should be ready and available to collect' was generated. We used the Plan-Do-Study-Act cycles to elucidate how our system could be improved and check if our intervention was effective. Over a 3-day period in July 2016, 269 out of 292 prescriptions (92.1%) were ready. We mapped out the repeat prescribing process and discovered that sometimes reception staff graded a request as inappropriate, for example, requested too early, and these requests were therefore not processed. Patients would then attend to collect a prescription that was not there. This was both inconvenient for the patient and time-consuming for the reception staff to investigate the reason. Our system was changed so that any request that was not being processed was recorded and the patient informed. In September 260 out of 267 (97.4%) prescriptions were ready, in November 350 out of 364 (96.2%), and in February 2017 314 out of 323 (97.2%) were ready. In conclusion, the Always Event approach allowed us to elicit important feedback from patients to identify a weakness in our repeat prescribing system, which was simple to rectify and led to an improved, more efficient service.

Indexed as

always eventhealthcare improvementprimary carerepeat prescribing

Identifiers

PMID29450268
PMCPMC5717943

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Registered trials

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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.