Evidence map›Paper›PMID 26359265›Full record

ArticleBMC health services research2015

The impact of the 'Better Care Better Value' prescribing policy on the utilisation of angiotensin-converting enzyme inhibitors and angiotensin receptor blockers for treating hypertension in the UK primary care setting: longitudinal quasi-experimental design.

Amanj Baker, Li-Chia Chen, Rachel A Elliott, Brian Godman

Open access · goldAbstract read
In one paragraph

Article in BMC health services research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
1.1field-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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 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

4 authors at 2 institutions in 3 countries.

Amanj BakerDivision for Social Research in Medicines and Health, School of Pharmacy, University of Nottingham, East Drive, University Park, Nottingham, NG7 2RD, UK. paxaib@nottingham.ac.uk.
Li-Chia ChenDivision for Social Research in Medicines and Health, School of Pharmacy, University of Nottingham, East Drive, University Park, Nottingham, NG7 2RD, UK. Li-Chia.Chen@nottingham.ac.uk.
Rachel A ElliottDivision for Social Research in Medicines and Health, School of Pharmacy, University of Nottingham, East Drive, University Park, Nottingham, NG7 2RD, UK. Rachel.Elliott@nottingham.ac.uk.
Brian GodmanDivision of Clinical Pharmacology, Karolinska Institute, Karolinska University Hospital, Huddinge, Stockholm, Sweden. briangodman@btinternet.com.
University of Nottingham · GBKarolinska University Hospital · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn April/2009, the UK National Health Service initiated four Better Care Better Value (BCBV) prescribing indicators, one of which encouraged the prescribing of cheaper angiotensin-converting enzyme inhibitors (ACEIs) instead of expensive angiotensin receptor blockers (ARBs), with 80 % ACEIs/20 % ARBs as a proposed, and achievable target. The policy was intended to save costs without affecting patient outcomes. However, little is known about the actual impact of the BCBV indicator on ACEIs/ARBs utilisation and cost-savings. Therefore, this study aimed to evaluate the impact of BCBV policy on ACEIs/ARBs utilisation and cost-savings, including exploration of regional variations of the policy's impact.

methodsThis cross-sectional study used data from the UK Clinical Practice Research Datalink. Segmented time-series analysis was applied to monthly ACEIs prescription proportion, adjusted number of ACEIs/ARBs prescriptions and costs.

resultsOverall, the proportion of ACEIs prescription decreased during the study period from 71.2% in April/2006 to 70.7% in March/2012, with a small but a statistically significant pre-policy reduction in its monthly trend of 0.02% (p < 0.001). Instantly after its initiation, the policy was associated with a sudden reduction in the proportion of ACEIs prescription; however, it resulted in a statistically significant increase in the post-policy monthly trend of ACEIs prescription proportion of 0.013% (p < 0.001), resulting in an overall post-policy slope of -0.007%. Despite this post-policy induced increment, the policy failed to achieve the 80% target, which resulted in missing a potential cost-saving opportunity. The pre-policy trend of the adjusted number of ACEIs/ARBs prescriptions was increasing; however, their trends declined after the policy implementation. The policy affected neither total ACEIs/ARBs cost nor individual ACEIs or ARBs costs.

conclusionsACEIs/ARBs utilisation was not affected by the BCBV policy. The small increase in post-policy ACEIs prescription proportion was not associated with any savings. This study represents a case study of a failed or ineffective policy and thus provides key learning lessons for other healthcare authorities. Given the existing opportunity of potential cost-savings from achieving the 80 % target, specific measures would be needed to enhance the policy implementation and uptake; however, this must be balanced against other cost-saving policies in other high-priority areas.

Indexed as

AdultAgedAged, 80 and overAngiotensin-Converting Enzyme InhibitorsAngiotensin Receptor AntagonistsCost SavingsCross-Sectional StudiesDrug CostsFemaleHumansHypertensionLongitudinal StudiesMaleMiddle AgedPrescription DrugsPrimary Health CareAngiotensin-Converting Enzyme InhibitorsAngiotensin Receptor AntagonistsPrescription Drugs

Identifiers

PMID26359265
PMCPMC4566432
OpenAlexW1836587915

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LicenceCC BY
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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.