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What works for whom in the management of diabetes in people living with dementia: a realist review

Overview of attention for article published in BMC Medicine, July 2017
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (91st percentile)
  • Good Attention Score compared to outputs of the same age and source (71st percentile)

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46 X users
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2 Facebook pages

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16 Dimensions

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218 Mendeley
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Title
What works for whom in the management of diabetes in people living with dementia: a realist review
Published in
BMC Medicine, July 2017
DOI 10.1186/s12916-017-0909-2
Pubmed ID
Authors

Frances Bunn, Claire Goodman, Peter Reece Jones, Bridget Russell, Daksha Trivedi, Alan Sinclair, Antony Bayer, Greta Rait, Jo Rycroft-Malone, Christopher Burton

Abstract

Dementia and diabetes mellitus are common long-term conditions and co-exist in a large number of older people. People living with dementia (PLWD) may be less able to manage their diabetes, putting them at increased risk of complications such as hypoglycaemia. The aim of this review was to identify key mechanisms within different interventions that are likely to improve diabetes outcomes in PLWD. This is a realist review involving scoping of the literature and stakeholder interviews to develop theoretical explanations of how interventions might work, systematic searches of the evidence to test and develop the theories and their validation with a purposive sample of stakeholders. Twenty-six stakeholders - user/patient representatives, dementia care providers, clinicians specialising in diabetes or dementia and researchers - took part in interviews, and 24 participated in a consensus conference. We included 89 papers. Ten focused on PLWD and diabetes, and the remainder related to people with either dementia, diabetes or other long-term conditions. We identified six context-mechanism-outcome configurations which provide an explanatory account of how interventions might work to improve the management of diabetes in PLWD. This includes embedding positive attitudes towards PLWD, person-centred approaches to care planning, developing skills to provide tailored and flexible care, regular contact, family engagement and usability of assistive devices. An overarching contingency emerged concerning the synergy between an intervention strategy, the dementia trajectory and social and environmental factors, especially family involvement. Evidence highlighted the need for personalised care, continuity and family-centred approaches, although there was limited evidence that this happens routinely. This review suggests there is a need for a flexible service model that prioritises quality of life, independence and patient and carer priorities. Future research on the management of diabetes in older people with complex health needs, including those with dementia, needs to look at how organisational structures and workforce development can be better aligned to their needs. PROSPERO, CRD42015020625. Registered on 18 May 2015.

X Demographics

X Demographics

The data shown below were collected from the profiles of 46 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 218 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 218 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 34 16%
Student > Master 30 14%
Student > Bachelor 25 11%
Student > Ph. D. Student 21 10%
Other 10 5%
Other 37 17%
Unknown 61 28%
Readers by discipline Count As %
Nursing and Health Professions 41 19%
Medicine and Dentistry 33 15%
Social Sciences 21 10%
Psychology 18 8%
Neuroscience 5 2%
Other 32 15%
Unknown 68 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 27. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 12 April 2020.
All research outputs
#1,352,741
of 24,526,614 outputs
Outputs from BMC Medicine
#945
of 3,785 outputs
Outputs of similar age
#27,257
of 320,755 outputs
Outputs of similar age from BMC Medicine
#16
of 52 outputs
Altmetric has tracked 24,526,614 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,785 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 45.1. This one has done well, scoring higher than 75% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 320,755 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 52 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.