Evidence map›Paper›PMID 36631723›Full record

ArticleJournal of health services research & policy2023

Scale and spread of innovation in health and social care: Insights from the evaluation of the New Care Model/Vanguard programme in England.

Julie MacInnes, Jenny Billings, Anna Coleman, Rasa Mikelyte, Sarah Croke, Pauline Allen, Kath Checkland

Abstract read
In one paragraph

Article in Journal of health services research & policy, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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.

Julie MacInnesCentre for Health Services Studies, 2240University of Kent, Canterbury, Kent, UK.ORCID 0000-0002-9220-1007
Jenny BillingsCentre for Health Services Studies, 2240University of Kent, Canterbury, Kent, UK.
Anna ColemanDivision of Population Health, School of Health Sciences, University of Manchester, Manchester, UK.
Rasa MikelyteCentre for Health Services Studies, 2240University of Kent, Canterbury, Kent, UK.
Sarah CrokeDivision of Population Health, School of Health Sciences, University of Manchester, Manchester, UK.
Pauline AllenLondon School of Hygiene & Tropical Medicine, Health Services Research Unit, London, UK.
Kath ChecklandDivision of Population Health, School of Health Sciences, University of Manchester, Manchester, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveLittle is known about how to achieve scale and spread beyond the early local adoption of an innovative health care programme. We use the New Care Model - or 'Vanguard' - programme in the English National Health Service to illuminate the process, assessing why only one of five Vanguard programmes was successfully scaled up.

methodsWe interviewed a wide range of stakeholders involved in the Vanguard programme, including programme leads, provider organisations, and policymakers. We also consulted relevant documentation.

resultsA lack of direction near the end of the Vanguard programme, a lack of ongoing resources, and limited success in providing real-time monitoring and evaluation may all have contributed to the failure to scale and spread most of the Vanguard models.

conclusionsThis programme is an example of the 'scale and spread paradox', in which localism was a key factor influencing the successful implementation of the Vanguards but ultimately limited their scale and spread.

Indexed as

Social SupportState MedicineEnglandHumansimplementationinnovationscale and spread

Identifiers

PMID36631723
PMCPMC10061605

What OpenQuestion holds

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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.