Evidence map›Paper›PMID 31693838›Full record

ArticleKorean journal of family medicine2020

A Durable Minimal Intervention Strategy to Reduce Benzodiazepine Use in a Primary Care Population.

Stephen Davidson, Christine Thomson, Gordon Prescott

Abstract read
In one paragraph

Article in Korean journal of family medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Stephen DavidsonForensic Psychiatry, Rowanbank Clinic, NHS Greater Glasgow & Clyde, Glasgow, UK.
Christine ThomsonGeneral Practice, Linkwood Medical, NHS Grampian, Elgin, UK.
Gordon PrescottMedical Statistics Team, Institute of Applied Health Sciences, University of Aberdeen, Aberdeen, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBenzodiazepines are commonly prescribed drugs with approximately 10% of adults having used them in the past year. These drugs are clearly addictive, yet many patients are prescribed these for years, with long-term side effects. The present study aimed to investigate whether patients on repeat diazepam prescription had their prescription reviewed to reduce and to stop the repeat prescription wherever appropriate, and whether these changes were sustained at 24 months.

methodsThe present study used a minimal intervention strategy to reduce diazepam use in a semi-rural general practice. Patients with a current prescription for diazepam were invited to visit their general practitioner for a review. Dose reduction grids were formulated for each individual to facilitate a downward titration by 1 mg each wk/ mo. Patients with psychiatric co-morbidity were also included. Interrupted time series methods were applied to the monthly data. The outcomes were evaluated at 12 and 24 months.

resultsNinety-two patients had diazepam on repeat prescription with 87 (94.6%) attending the review appointment. Twenty-seven patients (29.3%) were under psychiatric review and were supported by the psychiatrist with a downward titration regime. At 24 months, 63 patients (81.8% of the 77 still at the practice) had stopped or were in the process of stopping regular use of diazepam. A statistically significant reduction in total monthly diazepam prescription was observed (from 2.2 to 0.7 defined daily dose/1,000 patients/d).

conclusionThis minimal intervention strategy, in collaboration between primary and secondary care, produced a durable reduction in overall diazepam prescription at the general practice.

Indexed as

BenzodiazepinesDiazepamPrimary Health CarePsychiatry

Identifiers

PMID31693838
PMCPMC7093675

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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.