Evidence map›Paper›PMID 28395660›Full record

ArticleBMC medicine2017

Incentivised chronic disease management and the inverse equity hypothesis: findings from a longitudinal analysis of Scottish primary care practice-level data.

Richard Lowrie, Alex McConnachie, Andrea E Williamson, Evangelos Kontopantelis, Marie Forrest, Norman Lannigan, Stewart W Mercer, Frances S Mair

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In one paragraph

Article in BMC medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

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3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

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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

8 authors.

Richard LowriePharmacy and Prescribing Support Unit, NHS Greater Glasgow and Clyde, Glasgow, Scotland, G3 8SJ, UK. Richard.Lowrie@ggc.scot.nhs.uk.
Alex McConnachieRobertson Centre for Biostatistics, Institute of Health and Wellbeing, University of Glasgow, Glasgow, Scotland, UK.
Andrea E WilliamsonGeneral Practice and Primary Care, School of Medicine, MVLS, University of Glasgow, Glasgow, Scotland, UK.
Evangelos KontopantelisThe Farr Institute of Health Informatics Research, University of Manchester, Manchester, England, UK.
Marie ForrestEast Glasgow Health and Social Care Partnership, Paradise Health Centre, Glasgow, Scotland, UK.
Norman LanniganPharmacy and Prescribing Support Unit, NHS Greater Glasgow and Clyde, Glasgow, Scotland, G3 8SJ, UK.
Stewart W MercerInstitute of Health and Wellbeing, University of Glasgow, Glasgow, Scotland, UK.
Frances S MairInstitute of Health and Wellbeing, University of Glasgow, Glasgow, Scotland, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe inverse equity hypothesis asserts that new health policies initially widen inequality, then attenuate inequalities over time. Since 2004, the UK's pay-for-performance scheme for chronic disease management (CDM) in primary care general practices (the Quality and Outcomes Framework) has permitted practices to except (exclude) patients from attending annual CDM reviews, without financial penalty. Informed dissent (ID) is one component of exception rates, applied to patients who have not attended due to refusal or non-response to invitations. 'Population achievement' describes the proportion receiving care, in relation to those eligible to receive it, including excepted patients. Examination of exception reporting (including ID) and population achievement enables the equity impact of the UK pay-for-performance contract to be assessed. We conducted a longitudinal analysis of practice-level rates and of predictors of ID, overall exceptions and population achievement for CDM to examine whether the inverse equity hypothesis holds true.

methodsWe carried out a retrospective, longitudinal study using routine primary care data, analysed by multilevel logistic regression. Data were extracted from 793 practices (83% of Scottish general practices) serving 4.4 million patients across Scotland from 2010/2011 to 2012/2013, for 29 CDM indicators covering 11 incentivised diseases. This provided 68,991 observations, representing a total of 15 million opportunities for exception reporting.

resultsAcross all observations, the median overall exception reporting rate was 7.0% (7.04% in 2010-2011; 7.02% in 2011-2012 and 6.92% in 2012-2013). The median non-attendance rate due to ID was 0.9% (0.76% in 2010-2011; 0.88% in 2011-2012 and 0.96% in 2012-2013). Median population achievement was 83.5% (83.51% in 2010-2011; 83.41% in 2011-2012 and 83.63% in 2012-2013). The odds of ID reporting in 2012/2013 were 16.0% greater than in 2010/2011 (p < 0.001). Practices in Scotland's most deprived communities were twice as likely to report non-attendance due to ID (odds ratio 2.10, 95% confidence interval 1.83-2.40, p < 0.001) compared with those in the least deprived; rural practices reported lower levels of non-attendance due to ID. These predictors were also independently associated with overall exceptions. Rates of population achievement did not change over time, with higher levels (higher remuneration) associated with increased rates of overall and ID exception and more affluent practices.

conclusionsNon-attendance for CDM due to ID has risen over time, and higher rates are seen in patients from practices located in disadvantaged areas. This suggests that CDM incentivisation does not conform to the inverse equity hypothesis, because inequalities are widening over time with lower uptake of anticipatory care health checks and CDM reviews noted among those most in need. Incentivised CDM needs to include incentives for engaging with the 'hard to reach' if inequalities in healthcare delivery are to be tackled.

Indexed as

Disease ManagementChronic DiseaseDelivery of Health CareFemaleHealth EquityHumansLongitudinal StudiesMalePrimary Health CareQuality Indicators, Health CareReimbursement, IncentiveRetrospective StudiesScotlandSocioeconomic FactorsDisparitiesGeneral practicePay-for-performancePrimary health careSocioeconomic factors

Identifiers

PMID28395660
PMCPMC5387284

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LicenceCC BY
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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.