Evidence map›Paper›PMID 30166943›Full record

ArticleJournal of integrated care (Brighton, England)2018

Transforming primary care: scoping review of research and practice.

Robin Miller, Catherine Weir, Steve Gulati

Abstract readScoping Review
In one paragraph

Article in Journal of integrated care (Brighton, England), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

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  10. Transforming primary care in Scotland: a critical policy analysis.The British journal of general practice : the journal of the Royal College of General Practitioners · 2022
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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.

Robin MillerHealth Services Management Centre, University of Birmingham, Birmingham, UK.
Catherine WeirHealth Services Management Centre, University of Birmingham, Birmingham, UK.
Steve GulatiHealth Services Management Centre, University of Birmingham, Birmingham, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe purpose of this paper is to reflect on research evidence and practice experience of transforming primary care to a more integrated and holistic model. DESIGN/METHODOLOGY/APPROACH: It is based on a scoping review which has been guided by primary care stakeholders and synthesises research evidence and practice experience from ten international case studies.

findingsAdopting an inter-professional, community-orientated and population-based primary care model requires a fundamental transformation of thinking about professional roles, relationships and responsibilities. Team-based approaches can replicate existing power dynamics unless medical clinicians are willing to embrace less authoritarian leadership styles. Engagement of patients and communities is often limited due to a lack of capacity and belief that will make an impact. Internal (relationships, cultures, experience of improvement) and external (incentives, policy intentions, community pressure) contexts can encourage or derail transformation efforts. PRACTICAL IMPLICATIONS: Transformation requires a co-ordinated programme that incorporates the following elements - external facilitation of change; developing clinical and non-clinical leaders; learning through training and reflection; engaging community and professional stakeholders; transitional funding; and formative and summative evaluation. ORIGINALITY/VALUE: This paper combines research evidence and international practice experience to guide future programmes to transform primary care.

Indexed as

Health care homeIntegrated carePrimary careTransformation

Identifiers

PMID30166943
PMCPMC6091658

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.