Evidence map›Paper›PMID 33160310›Full record

ArticleBMC psychiatry2020

Links between the amount of antipsychotic medication prescribed per population at general practice level, local demographic factors and medication selection.

A H Heald, M Stedman, S Farman, C Khine, M Davies, M De Hert, D Taylor

Open access · goldAbstract read
In one paragraph

Article in BMC psychiatry, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.2field-weighted citation impact, top 21% of its field
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

5 citing papers in PubMed, 11 citations in OpenAlex.

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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

7 authors at 5 institutions in 3 countries.

A H HealdManchester University, The School of Medicine and Manchester Academic Health Sciences Centre, Manchester, UK. adrian.heald@manchester.ac.uk.ORCID 0000-0002-9537-4050
M StedmanRes Consortium, Research, Andover, USA.
S FarmanMersey Deanery Psychiatry Rotation, Manchester, UK.
C KhineDepartment of Medicine, Kings Mill Hospital, Mansfield, UK.
M DaviesRes Consortium, Research, Andover, USA.
M De HertInstitute of Psychiatry, Pharmacy, London, UK.
D TaylorInstitute of Psychiatry, Pharmacy, London, UK.
Concord Consortium · USPsychiatry Research Trust · GBKings Mill Hospital · GBManchester Academic Health Science Centre · GBMersey Care NHS Trust · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAntipsychotic medications are the first-line pharmacological intervention for severe mental illnesses (SMI) such as schizophrenia and other psychoses, while also being used to relieve distress and treat neuropsychiatric symptoms in dementia. Our aim was to examine the factors relating to antipsychotic prescribing in general practices across England and how cost changes in recent years have impacted on antipsychotic prescribing.

methodsThe study examined over time the prescribing volume and prices paid for antipsychotic medication by agent in primary care. Monthly prescribing in primary care was consolidated over 5 years (2013-2018) and DDD amount from WHO/ATC for each agent was used to convert the amount to total DDD/practice. The defined Daily Dose (DDD is the assumed average maintenance dose per day for a drug used for its main indication in adults.

resultsWe included 5750 general practices with practice population > 3000 and with > 30 people on their SMI register. In 2018/19 there were 10,360,865 prescriptions containing 136 million DDD with costs of £110 million at an average cost of £0.81/DDD issued in primary care. In 2017/18 there was a sharp increase in overall prices and they had not reduced to expected levels by the end of the 2018/19 evaluation year. There was a gradual increase in antipsychotic prescribing over 2013-2019 which was not perturbed by the increase in drug price in 2017/18. The strongest positive relation to increased prescribing of antipsychotics came from higher social disadvantage, higher population density (urban), and comorbidities e.g. chronic obstructive pulmonary disease (COPD). Higher % younger and % older populations, northerliness and non-white (Black and Minority Ethnic(BAME)) ethnicity were all independently associated with less antipsychotic prescribing. Higher DDD/general practice population was linked with higher proportion(%) injectable, higher %liquid, higher doses/prescription and higher %zuclopenthixol depot. Less DDD/population was linked with general practices using higher % risperidone and higher spending/dose of antipsychotic.

conclusionsThe levels of antipsychotic prescribing at general practice level are driven by social factors/comorbidities. We found a link between depot prescriptions with higher antipsychotic DDD and risperidone prescriptions with lower antipsychotic DDD. It is important that all prescribers are aware of these drivers / links.

Indexed as

Antipsychotic AgentsGeneral PracticeAdultDemographyEnglandHumansPractice Patterns, Physicians'RisperidoneAntipsychotic AgentsRisperidoneAntipsychoticDemographicGeneral practicePrescribingPsychosisVariations

Identifiers

PMID33160310
PMCPMC7648310
OpenAlexW3095973188

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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.