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

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

Methods: primary 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.

Results: following 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.

Conclusions: the 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
1471-2296
1-10
Penn, Marion
44e30bd0-fd1a-41b9-b7ed-4a46c656ef8a
Kennedy, Anne
e059c1c7-d6d0-41c8-95e1-95e5273b07f8
Vassilev, Ivaylo
d76a5531-4ddc-4eb2-909b-a2a1068f05f3
Chew-Graham, Carolyn A.
28f3f383-6b7f-492f-9ffa-8422d7239c9c
Protheroe, Joanne
ef666365-4f77-4c8c-9471-967b084dff81
Rogers, Anne
105eeebc-1899-4850-950e-385a51738eb7
Monks, Thomas
fece343c-106d-461d-a1dd-71c1772627ca
Penn, Marion
44e30bd0-fd1a-41b9-b7ed-4a46c656ef8a
Kennedy, Anne
e059c1c7-d6d0-41c8-95e1-95e5273b07f8
Vassilev, Ivaylo
d76a5531-4ddc-4eb2-909b-a2a1068f05f3
Chew-Graham, Carolyn A.
28f3f383-6b7f-492f-9ffa-8422d7239c9c
Protheroe, Joanne
ef666365-4f77-4c8c-9471-967b084dff81
Rogers, Anne
105eeebc-1899-4850-950e-385a51738eb7
Monks, Thomas
fece343c-106d-461d-a1dd-71c1772627ca

Penn, Marion, Kennedy, Anne, Vassilev, Ivaylo, Chew-Graham, Carolyn A., Protheroe, Joanne, Rogers, Anne and Monks, Thomas (2015) Modelling self-management pathways for people with diabetes in primary care. BMC Family Practice, 16 (112), 1-10. (doi:10.1186/s12875-015-0325-7).

Record type: Article

Abstract

Background: self-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.

Methods: primary 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.

Results: following 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.

Conclusions: the 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

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Submitted date: 2015
Accepted/In Press date: 17 August 2015
Published date: 2 September 2015
Organisations: Faculty of Health Sciences

Identifiers

Local EPrints ID: 380766
URI: http://eprints.soton.ac.uk/id/eprint/380766
ISSN: 1471-2296
PURE UUID: 4d2d01bf-9ba2-4cdb-aa70-4773c0261dcb
ORCID for Marion Penn: ORCID iD orcid.org/0000-0002-7269-7981
ORCID for Anne Kennedy: ORCID iD orcid.org/0000-0003-4570-9104
ORCID for Ivaylo Vassilev: ORCID iD orcid.org/0000-0002-2206-8247
ORCID for Thomas Monks: ORCID iD orcid.org/0000-0003-2631-4481

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Date deposited: 17 Sep 2015 13:10
Last modified: 15 Mar 2024 03:47

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Contributors

Author: Marion Penn ORCID iD
Author: Anne Kennedy ORCID iD
Author: Ivaylo Vassilev ORCID iD
Author: Carolyn A. Chew-Graham
Author: Joanne Protheroe
Author: Anne Rogers
Author: Thomas Monks ORCID iD

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