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Self-management support activities in primary care: A qualitative study to compare provision across common health problems.

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Title: Self-management support activities in primary care: A qualitative study to compare provision across common health problems.
Authors: Harris, Emma1 (AUTHOR) e.harris@hud.ac.uk, Barker, Caroline1 (AUTHOR), Burton, Kim1 (AUTHOR), Lucock, Mike1,2 (AUTHOR), Astin, Felicity1,3 (AUTHOR)
Source: Patient Education & Counseling. Dec2020, Vol. 103 Issue 12, p2532-2539. 8p.
Subject Terms: *Qualitative research, Primary care, Motivational interviewing, Social support, Biopsychosocial model
Abstract: Objective: To explore the views of primary care teams about the provision of self-management support to patients with common health problems.Methods: Semi-structured interviews were conducted with twenty-one members of the primary care team from thirteen general practices. Interviews were transcribed verbatim, and analysed using the 'Framework' approach.Results: Three categories and six sub-categories illustrating different self-management support activities across common health problems were identified from the analysis of interviews, and contributed to one major theme and one cross-cutting theme. Referral and signposting were frequently used to facilitate patient engagement with external services and resources. Practitioners faced some challenges in balancing medical management and psychosocial support and motivating patients to engage with self-management.Conclusions: Primary care teams described providing a wide range of self-management support activities, but the pattern of use varied for different types of health problem. These patterns may have been influenced, in part, by general practices focusing upon achieving financially incentivised quality improvement goals.Practice Implications: To improve self-management support, practitioners need a digital repository of services/resources, motivational interviewing skills, an understanding of the optimum duration and pattern of consultations, and incentivised targets that match a biopsychosocial model of care. [ABSTRACT FROM AUTHOR]
Copyright of Patient Education & Counseling is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Education Research Complete
FullText Text:
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DbLabel: Education Research Complete
An: 146995944
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PubType: Academic Journal
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  Data: Self-management support activities in primary care: A qualitative study to compare provision across common health problems.
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  Data: <searchLink fieldCode="AR" term="%22Harris%2C+Emma%22">Harris, Emma</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> e.harris@hud.ac.uk</i><br /><searchLink fieldCode="AR" term="%22Barker%2C+Caroline%22">Barker, Caroline</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Burton%2C+Kim%22">Burton, Kim</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Lucock%2C+Mike%22">Lucock, Mike</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Astin%2C+Felicity%22">Astin, Felicity</searchLink><relatesTo>1,3</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Patient+Education+%26+Counseling%22">Patient Education & Counseling</searchLink>. Dec2020, Vol. 103 Issue 12, p2532-2539. 8p.
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  Data: *<searchLink fieldCode="DE" term="%22Qualitative+research%22">Qualitative research</searchLink><br /><searchLink fieldCode="DE" term="%22Primary+care%22">Primary care</searchLink><br /><searchLink fieldCode="DE" term="%22Motivational+interviewing%22">Motivational interviewing</searchLink><br /><searchLink fieldCode="DE" term="%22Social+support%22">Social support</searchLink><br /><searchLink fieldCode="DE" term="%22Biopsychosocial+model%22">Biopsychosocial model</searchLink>
– Name: Abstract
  Label: Abstract
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  Data: <bold>Objective: </bold>To explore the views of primary care teams about the provision of self-management support to patients with common health problems.<bold>Methods: </bold>Semi-structured interviews were conducted with twenty-one members of the primary care team from thirteen general practices. Interviews were transcribed verbatim, and analysed using the 'Framework' approach.<bold>Results: </bold>Three categories and six sub-categories illustrating different self-management support activities across common health problems were identified from the analysis of interviews, and contributed to one major theme and one cross-cutting theme. Referral and signposting were frequently used to facilitate patient engagement with external services and resources. Practitioners faced some challenges in balancing medical management and psychosocial support and motivating patients to engage with self-management.<bold>Conclusions: </bold>Primary care teams described providing a wide range of self-management support activities, but the pattern of use varied for different types of health problem. These patterns may have been influenced, in part, by general practices focusing upon achieving financially incentivised quality improvement goals.<bold>Practice Implications: </bold>To improve self-management support, practitioners need a digital repository of services/resources, motivational interviewing skills, an understanding of the optimum duration and pattern of consultations, and incentivised targets that match a biopsychosocial model of care. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
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  Data: <i>Copyright of Patient Education & Counseling is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=ehh&AN=146995944
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        Value: 10.1016/j.pec.2020.07.003
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              Text: Dec2020
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