Evidence map›Paper›PMID 29859061›Full record

ArticleBMC psychiatry2018

Barriers to effective diabetes management - a survey of people with severe mental illness.

Kathleen Mulligan, Hayley McBain, Frederique Lamontagne-Godwin, Jacqui Chapman, Chris Flood, Mark Haddad, Julia Jones, Alan Simpson

Open access · goldAbstract read
In one paragraph

Article in BMC psychiatry, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 2 pooled it
6.2field-weighted citation impact, top 3% of its field
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

21 citing papers in PubMed, 2 syntheses or guidelines pooled it, 68 citations in OpenAlex.

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  20. [Somatic risks in elderly people with severe psychiatric illnesses].Zeitschrift fur Gerontologie und Geriatrie · 2018
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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

8 authors at 4 institutions in 1 country.

Kathleen MulliganSchool of Health Sciences, City, University of London, Myddelton Street, London, EC1V 0HB, UK. Kathleen.Mulligan.1@city.ac.uk.ORCID 0000-0002-6003-3029
Hayley McBainSchool of Health Sciences, City, University of London, Myddelton Street, London, EC1V 0HB, UK.
Frederique Lamontagne-GodwinSchool of Human and Social Sciences, University of West London, London, UK.
Jacqui ChapmanDiabetes Specialist Nursing Service, East London NHS Foundation Trust, London, UK.
Chris FloodSchool of Health Sciences, City, University of London, Myddelton Street, London, EC1V 0HB, UK.
Mark HaddadSchool of Health Sciences, City, University of London, Myddelton Street, London, EC1V 0HB, UK.
Julia JonesCentre for Research in Primary & Community Care (CRIPACC), University of Hertfordshire, Hatfield, Hertfordshire, UK.
Alan SimpsonSchool of Health Sciences, City, University of London, Myddelton Street, London, EC1V 0HB, UK.
City, University of London · GBEast London NHS Foundation Trust · GBUniversity of Hertfordshire · GBUniversity of West London · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPeople with severe mental illnesses (SMI) such as schizophrenia and bipolar disorder have an increased risk of developing type 2 diabetes and have poorer health outcomes than those with diabetes alone. To maintain good diabetes control, people with diabetes are advised to engage in several self-management behaviours. The aim of this study was to identify barriers or enablers of diabetes self-management experienced by people with SMI.

methodsAdults with type 2 diabetes and SMI were recruited through UK National Health Service organisations and mental health and diabetes charities. Participants completed an anonymous survey consisting of: Summary of Diabetes Self-Care Activities (SDSCA); CORE-10 measure of psychological distress; a measure of barriers and enablers of diabetes self-management based on the Theoretical Domains Framework; Diabetes UK care survey on receipt of 14 essential aspects of diabetes healthcare. To identify the strongest explanatory variables of SDSCA outcomes, significant variables (p < .05) identified from univariate analyses were entered into multiple regressions.

resultsMost of the 77 participants had bipolar disorder (42%) or schizophrenia (36%). They received a mean of 7.6 (SD 3.0) diabetes healthcare essentials. Only 28.6% had developed a diabetes care plan with their health professional and only 40% reported receiving specialist psychological support. Engagement in self-management activities was variable. Participants reported taking medication on 6.1 (SD 2.0) days in the previous week but other behaviours were less frequent: general diet 4.1 (2.3) days; specific diet 3.6 (1.8) days, taking exercise 2.4 (2.1) days and checking feet on 1.7 (1.8) days. Smoking prevalence was 44%. Participants reported finding regular exercise and following a healthy diet particularly difficult. Factors associated with diabetes self-management included: the level of diabetes healthcare and support received; emotional wellbeing; priority given to diabetes; perceived ability to manage diabetes or establish a routine to do so; and perceived consequences of diabetes self-management.

conclusionsSeveral aspects of diabetes healthcare and self-management are suboptimal in people with SMI. There is a need to improve diabetes self-management support for this population by integrating diabetes action plans into care planning and providing adequate psychological support to help people with SMI manage their diabetes.

Indexed as

Severity of Illness IndexAdultDelivery of Health CareDiabetes Mellitus, Type 2Disease ManagementFemaleHumansMaleMental DisordersMiddle AgedResearch DesignSelf-ManagementDiabetesSelf-managementService usersSevere mental illnessTheoretical domains framework

Identifiers

PMID29859061
PMCPMC5984777
OpenAlexW2804512240

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.