Evidence map›Paper›PMID 34323143›Full record

ArticleMedical care research and review : MCRR2022

Evaluating the Effectiveness of a Local Primary Care Incentive Scheme: A Difference-in-Differences Study.

Esmaeil Khedmati Morasae, Tanith C Rose, Mark Gabbay, Laura Buckels, Colette Morris, Sharon Poll, Mark Goodall, Rob Barnett, Ben Barr

Abstract read
In one paragraph

Article in Medical care research and review : MCRR, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Can we measure whether asthma guidelines lead to improved care?NPJ primary care respiratory medicine · 2024
    Review
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

9 authors.

Esmaeil Khedmati MorasaeUniversity of Exeter Business School, Exeter, UK.
Tanith C RoseUniversity of Liverpool, Liverpool, UK.ORCID 0000-0001-5338-0359
Mark GabbayUniversity of Liverpool, Liverpool, UK.
Laura BuckelsLiverpool Clinical Commissioning Group, Liverpool, UK.
Colette MorrisLiverpool Clinical Commissioning Group, Liverpool, UK.
Sharon PollLiverpool Clinical Commissioning Group, Liverpool, UK.
Mark GoodallUniversity of Liverpool, Liverpool, UK.
Rob BarnettLiverpool Local Medical Committee, Liverpool, UK.
Ben BarrUniversity of Liverpool, Liverpool, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

National financial incentive schemes for improving the quality of primary care have come under criticism in the United Kingdom, leading to calls for localized alternatives. This study investigated whether a local general practice incentive-based quality improvement scheme launched in 2011 in a city in the North West of England was associated with a reduction in all-cause emergency hospital admissions. Difference-in-differences analysis was used to compare the change in emergency admission rates in the intervention city, to the change in a matched comparison population. Emergency admissions rates fell by 19 per 1,000 people in the years following the intervention (95% confidence interval [17, 21]) in the intervention city, relative to the comparison population. This effect was greater among more disadvantaged populations, narrowing socioeconomic inequalities in emergency admissions. The findings suggest that similar approaches could be an effective component of strategies to reduce unplanned hospital admissions elsewhere.

Indexed as

MotivationQuality ImprovementEnglandHospitalizationHumansPrimary Health Careemergency admissiongeneral practiceincentivequality improvement scheme

Identifiers

PMID34323143
PMCPMC9052704

What OpenQuestion holds

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Registered trials

None linked

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.