Evidence map›Paper›PMID 26330096›Full record

ArticleBMC family practice2015

Modelling self-management pathways for people with diabetes in primary care.

Marion L Penn, Anne P Kennedy, Ivaylo I Vassilev, Carolyn A Chew-Graham, Joanne Protheroe, Anne Rogers, Tom Monks

Abstract read
In one paragraph

Article in BMC family practice, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Review
  5. Article
  6. 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.

Marion L PennSouthampton General Hospital, Mailpoint 11, AA72, South Academic Block, Tremona Road, Southampton, SO16 6YD, UK. M.L.Penn@soton.ac.uk.
Anne P KennedyNIHR Collaboration for Leadership in Applied Health Research (CLAHRC) Wessex, Faculty of Health Sciences, University of Southampton, Highfield, Southampton, SO17 1BJ, UK. a.kennedy@soton.ac.uk.
Ivaylo I VassilevNIHR Collaboration for Leadership in Applied Health Research (CLAHRC) Wessex, Faculty of Health Sciences, University of Southampton, Highfield, Southampton, SO17 1BJ, UK. I.I.Vassilev@soton.ac.uk.
Carolyn A Chew-GrahamResearch Institute, Primary Care & Health Sciences, and NIHR Collaboration for Leadership in Applied Health Research (CLAHRC) West Midlands, Keele University, Keele, Staffordshire, ST5 5BG, UK. c.a.chew-graham@keele.ac.uk.
Joanne ProtheroeResearch Institute, Primary Care & Health Sciences, and NIHR Collaboration for Leadership in Applied Health Research (CLAHRC) West Midlands, Keele University, Keele, Staffordshire, ST5 5BG, UK. j.protheroe@keele.ac.uk.
Anne RogersNIHR Collaboration for Leadership in Applied Health Research (CLAHRC) Wessex, Faculty of Health Sciences, University of Southampton, Highfield, Southampton, SO17 1BJ, UK. a.e.rogers@soton.ac.uk.
Tom MonksSouthampton General Hospital, Mailpoint 11, AA72, South Academic Block, Tremona Road, Southampton, SO16 6YD, UK. thomas.monks@soton.ac.uk.

Funding

Department of Health WMCLAHRC-2014-1
6 · The paper itself

Abstract

backgroundSelf-management support to facilitate people with type 2 diabetes to effectively manage their condition is complex to implement. Organisational and system elements operating in relation to providing optimal self-management support in primary care are poorly understood. We have applied operational research techniques to model pathways in primary care to explore and illuminate the processes and points where people struggle to find self-management support.

methodsPrimary care clinicians and support staff in 21 NHS general practices created maps to represent their experience of patients' progress through the system following diagnosis. These were collated into a combined pathway. Following consideration of how patients reduce dependency on the system to become enhanced self-managers, a model was created to show the influences on patients' pathways to self-management.

resultsFollowing establishment of diagnosis and treatment, appointment frequency decreases and patient self-management is expected to increase. However, capacity to consistently assess self-management capabilities; provide self-management support; or enhance patient-led self-care activities is missing from the pathways. Appointment frequencies are orientated to bio-medical monitoring rather than increasing the ability to mobilise resources or undertake self-management activities.

conclusionsThe model provides a clear visual picture of the complexities implicated in achieving optimal self-management support. Self-management is quickly hidden from view in a system orientated to treatment delivery rather than to enhancing patient self-management. The model created highlights the limited self-management support currently provided and illuminates points where service change might impact on providing support for self-management. Ensuring professionals are aware of locally available support and people's existing network support has potential to provide appropriate and timely direction to community facilities and the mobilisation of resources.

Indexed as

Critical PathwaysPrimary Health CareSelf CareDiabetes Mellitus, Type 2HumansModels, OrganizationalState MedicineUnited Kingdom

Identifiers

PMID26330096
PMCPMC4557856

What OpenQuestion holds

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LicenceCC BY
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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.