Evidence map›Paper›PMID 27391590›Full record

ArticleBMC psychiatry2016

Implementation of recommended type 2 diabetes care for people with severe mental illness - a qualitative exploration with healthcare professionals.

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

Open access · goldAbstract read
In one paragraph

Article in BMC psychiatry, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
2.2field-weighted citation impact, top 12% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 26 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Quality of diabetes care among patients with schizophrenia. A mixed-methods study.Exploratory research in clinical and social pharmacy · 2021
    Article
  5. Article
  6. Barriers and enablers of type 2 diabetes self-management in people with severe mental illness.Health expectations : an international journal of public participation in health care and health policy · 2017
    Article
  7. Review
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 1 institution in 1 country.

Hayley McBainSchool of Health Sciences, City University London, Northampton Square, London, EC1V 0HB, UK.
Kathleen MulliganSchool of Health Sciences, City University London, Northampton Square, London, EC1V 0HB, UK.
Frederique Lamontagne-GodwinSchool of Health Sciences, City University London, Northampton Square, London, EC1V 0HB, UK.
Julia JonesSchool of Health Sciences, City University London, Northampton Square, London, EC1V 0HB, UK.
Mark HaddadSchool of Health Sciences, City University London, Northampton Square, London, EC1V 0HB, UK.
Chris FloodSchool of Health Sciences, City University London, Northampton Square, London, EC1V 0HB, UK.
David ThomasSchool of Health Sciences, City University London, Northampton Square, London, EC1V 0HB, UK.
Alan SimpsonSchool of Health Sciences, City University London, Northampton Square, London, EC1V 0HB, UK. a.simpson@city.ac.uk.ORCID 0000-0003-3286-9846
City, University of London · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe purpose of this study was to explore the barriers and facilitators healthcare professionals experience when managing type 2 diabetes in people with severe mental illness (SMI).

methodsA qualitative semi-structured interview approach was employed. Questions were structured according to the Theoretical Domains Framework (TDF), which outlines 14 domains that can act as barriers and facilitators to changing behaviour. Interviews were audio-recorded and transcribed verbatim. The data were coded according to the 14 domains of the TDF, belief statements were created within each domain and the most relevant belief statements within each domain identified through a consensus approach. Analyses were conducted by two researchers, and discrepancies agreed with a third researcher.

resultsSixteen healthcare professionals, from a range of services, involved in the care of people with type 2 diabetes and SMI took part in an interview. Inter-rater reliability for each of the domains varied (25 %-74 %). All fourteen domains were deemed relevant, with 42 specific beliefs identified as important to the target behaviour. Participants identified having relevant knowledge and skills for diabetes management, prioritising this area of health, and reviewing health behaviours to develop action plans, as particularly important. At an organisational level, integrated care provision and shared information technology (IT) services between mental health and physical services, and clearly defined roles and responsibilities for the different professions, with designated time to undertake the work were identified as crucial.

conclusionsThe findings highlight that healthcare professionals' experience a range of barriers and enablers when attempting to manage type 2 diabetes in people with SMI. These include organisational factors and individual beliefs, suggesting that interventions need to be targeted at both an organisation and individual level in order to change behaviour. Further work is needed to model these relationships in a larger sample of participants in line with the MRC guidance for developing complex interventions.

Indexed as

Disease ManagementHealth PersonnelConsensusDiabetes Mellitus, Type 2HumansMental DisordersReproducibility of ResultsBarriersComorbidityFacilitatorsHealth behavioursQualitativeSevere mental illnessTheoretical domains frameworkType 2 diabetes

Identifiers

PMID27391590
PMCPMC4938935
OpenAlexW2474702477

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.