Evidence map›Paper›PMID 33414252›Full record

ArticleBMJ open quality2021

Capability building for large-scale transformational change: learning from an evaluation of a national programme.

Iain M Smith, Elaine Bayliss, Felix Mukoro

Open access · goldAbstract read
In one paragraph

Article in BMJ open quality, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.4field-weighted citation impact, top 20% 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

4 citing papers in PubMed, 6 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

3 authors at 1 institution.

Iain M SmithImprovement Capability Building and Delivery Group, NHS England, Newcastle upon Tyne, Tyne and Wear, UK iain.smith@nhs.net.ORCID 0000-0003-1138-2166
Elaine BaylissImprovement Capability Building and Delivery Group, NHS England, Newcastle upon Tyne, Tyne and Wear, UK.
Felix MukoroImprovement Capability Building and Delivery Group, NHS England, Newcastle upon Tyne, Tyne and Wear, UK.
NHS England

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe Long Term Plan presents an ambitious vision for England's National Health Service which will require a sustained programme of transformational change. The Virtual Academy of Large-Scale Change (VALSC) was developed to build capability in health and care system teams involved in transformation or redesign programmes.

methodsTo evaluate the VALSC, quantitative and qualitative data were collected and reviewed against the Kirkpatrick model. Quantitative data were collected via end-of-session surveys to assess individual knowledge before and after participating in capability-building interventions. Qualitative data were also collected and included post-intervention surveys and interviews. Interviews were transcribed and analysed using an inductive approach to identify themes that were subsequently assessed against the Kirkpatrick model.

resultsResults suggest that the VALSC programme has helped build capability for large-scale change in terms of learning, behaviour change and impact. Participants' ipsative self-assessment of knowledge demonstrated a significant change (p<0.001) and qualitative data suggested three broad themes in which the VALSC made an impact. First, participants were empowered with transformation and change skills which they applied to local health and care challenges. Second, VALSC helped strengthen connections within and between transformational change teams. Third, VALSC helped transformational change teams to engage more effectively with their stakeholders.

conclusionsThe VALSC developed knowledge, skills, behavioural change and application impact that built capability in individuals and teams. Therefore, continuing to develop capability-building offers that empower and build agency in front-line staff working on service transformation and equip them with approaches, methods and tools to increase their chances of success, is recommended.

Indexed as

State MedicineHumansSurveys and Questionnairescomplexityleadershipquality improvement methodologiesteam training

Identifiers

PMID33414252
PMCPMC7797252
OpenAlexW3118518110

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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.