Evidence map›Paper›PMID 28720133›Full record

ArticleHealth and quality of life outcomes2017

Developing a questionnaire to determine the impact of self-management in diabetes: giving people with diabetes a voice.

J Carlton, J Elliott, D Rowen, K Stevens, H Basarir, K Meadows, J Brazier

Abstract readValidation Study
In one paragraph

Article in Health and quality of life outcomes, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
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

12 citing papers in PubMed.

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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

7 authors.

J CarltonSchool of Health and Related Research (ScHARR), University of Sheffield, Regent Court, Sheffield, S1 4DA, UK. j.carlton@sheffield.ac.uk.ORCID http://orcid.org/0000-0002-9373-7663
J ElliottSchool of Health and Related Research (ScHARR), University of Sheffield, Regent Court, Sheffield, S1 4DA, UK.
D RowenSchool of Health and Related Research (ScHARR), University of Sheffield, Regent Court, Sheffield, S1 4DA, UK.
K StevensSchool of Health and Related Research (ScHARR), University of Sheffield, Regent Court, Sheffield, S1 4DA, UK.
H BasarirHealth Economics Unit, Institute of Applied Health Research, College of Medical and Dental Sciences, IOEM Building, University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK.
K MeadowsDHP Research & Consultancy Ltd, Bloxham Mill Business Centre, Barford Road, Bloxham, Banbury, OX15 4FF, UK.
J BrazierSchool of Health and Related Research (ScHARR), University of Sheffield, Regent Court, Sheffield, S1 4DA, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe prevalence of diabetes mellitus (DM) is increasing dramatically, placing considerable financial burden on the healthcare budget of each country. Patient self-management is crucial for the control of blood glucose, which largely determines the chances of developing diabetes-related complications. Self-management interventions vary widely, and a method is required for assessing the impact of self-management. This paper describes the development of a questionnaire intended for use to measure the impact of self-management in diabetes.

methodsAn iterative development process was undertaken to identify the attributes of self-management using 5 steps. First, a literature review was undertaken to identify and understand themes relating to self-management of DM to inform a topic guide. Second, the topic guide was further refined following consultation with a Patient and Public Involvement group. Third, the topic guide was used to inform semi-structured interviews with patients with Type 1 DM (T1DM) and Type 2 DM (T2DM) to identify how self-management of DM affects individuals. Fourth, the research team considered potential attributes alongside health attributes from an existing measure (Diabetes Health Profile, DHP) to produce an instrument reflecting both health and self-management outcomes simultaneously. Finally, a draft instrument was tested in a focus group to determine the wording and acceptability.

resultsSemi-structured interviews were carried out with 32 patients with T1DM and T2DM. Eight potential attributes were identified: fear/worry/anxiety, guilt, stress, stigma, hassle, control, freedom, and feeling supported. Four of these self-management attributes were selected with four health attributes (mood, worry about hypos (hypoglycaemic episodes), vitality and social limitations) to produce the Health and Self-Management in Diabetes (HASMID

conclusionsHASMID

Indexed as

Quality of LifeSurveys and QuestionnairesAdultAgedDiabetes Mellitus, Type 1Diabetes Mellitus, Type 2FemaleFocus GroupsHumansMiddle AgedReproducibility of ResultsSelf CareSocial SupportContent validityDescriptive systemDiabetes mellitusPatient reported outcome measure (PROM)Quality of lifeSelf-management

Identifiers

PMID28720133
PMCPMC5516314

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.