Evidence map›Paper›PMID 30889215›Full record

Trial reportPloS one2019

Diabetes self-management in three different income settings: Cross-learning of barriers and opportunities.

Jeroen De Man, Juliet Aweko, Meena Daivadanam, Helle Mölsted Alvesson, Peter Delobelle, Roy William Mayega, Claes-Göran Östenson, Barbara Kirunda, Francis Xavier Kasujja, David Guwattude and 7 more

Abstract readClinical TrialMulticenter Study
In one paragraph

Trial report in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

27 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

17 authors.

Jeroen De ManDepartment of Public Health, Institute of Tropical Medicine, Antwerp, Belgium.ORCID 0000-0002-3196-8757
Juliet AwekoDepartment of Public Health Sciences, Karolinska Institutet, Stockholm, Sweden.
Meena DaivadanamDepartment of Public Health Sciences, Karolinska Institutet, Stockholm, Sweden.ORCID 0000-0002-9532-6059
Helle Mölsted AlvessonDepartment of Public Health Sciences, Karolinska Institutet, Stockholm, Sweden.
Peter DelobelleSchool of Public Health, University of the Western Cape, Belville, South Africa.
Roy William MayegaDepartment of Epidemiology and Biostatistics, School of Public Health, College of Health Sciences, Makerere University, Kampala, Uganda.
Claes-Göran ÖstensonDepartment of Molecular Medicine & Surgery, Diabetes and Endocrine Unit, Karolinska Institutet, Stockholm, Sweden.
Barbara KirundaDepartment of Epidemiology and Biostatistics, School of Public Health, College of Health Sciences, Makerere University, Kampala, Uganda.
Francis Xavier KasujjaDepartment of Epidemiology and Biostatistics, School of Public Health, College of Health Sciences, Makerere University, Kampala, Uganda.ORCID 0000-0002-4081-2826
David GuwattudeDepartment of Epidemiology and Biostatistics, School of Public Health, College of Health Sciences, Makerere University, Kampala, Uganda.
Thandi PuoaneSchool of Public Health, University of the Western Cape, Belville, South Africa.
David SandersSchool of Public Health, University of the Western Cape, Belville, South Africa.
Stefan PetersonDepartment of Public Health Sciences, Karolinska Institutet, Stockholm, Sweden.
Göran TomsonDepartment of Public Health Sciences, Karolinska Institutet, Stockholm, Sweden.
Carl Johan SundbergDepartment of Learning, Informatics, Management & Ethics, Karolinska Institutet, Stockholm, Sweden.
Pilvikki AbsetzCollaborative Care Systems Finland, Helsinki, Finland; Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio, Finland.
Josefien Van OlmenDepartment of Public Health, Institute of Tropical Medicine, Antwerp, Belgium.ORCID 0000-0001-9724-1887

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The burden of type 2 diabetes is increasing rapidly, not least in Sub-Saharan Africa, and disadvantaged populations are disproportionally affected. Self-management is a key strategy for people at risk of or with type 2 diabetes, but implementation is a challenge. The objective of this study is to assess the determinants of self-management from an implementation perspective in three settings: two rural districts in Uganda, an urban township in South Africa, and socio-economically disadvantaged suburbs in Sweden. Data collection followed an exploratory multiple-case study design, integrating data from interviews, focus group discussions, and observations. Data collection and analysis were guided by a contextualized version of a transdisciplinary framework for self-management. Findings indicate that people at risk of or with type 2 diabetes are aware of major self-management strategies, but fail to integrate these into their daily lives. Depending on the setting, opportunities to facilitate implementation of self-management include: improving patient-provider interaction, improving health service delivery, and encouraging community initiatives supporting self-management. Modification of the physical environment (e.g. accessibility to healthy food) and the socio-cultural environment (i.e. norms, values, attitudes, and social support) may have an important influence on people's lifestyle. Regarding the study methodology, we learned that this innovative approach can lead to a comprehensive analysis of self-management determinants across different settings. An important barrier was the difficult contextualization of concepts like perceived autonomy and self-efficacy. Intervention studies are needed to confirm whether the pathways suggested by this study are valid and to test the proposed opportunities for change.

Indexed as

Diabetes Mellitus, Type 2Physician-Patient RelationsSelf-ManagementCross-Sectional StudiesFemaleHumansMaleSocioeconomic FactorsSwedenUganda

Identifiers

PMID30889215
PMCPMC6424475

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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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.