Observational studyBMC primary care2025
Effects of culturally-appropriate group education for migrants with type 2 diabetes in primary healthcare: pre-test-post-test design.
Observational study in BMC primary care, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
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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.
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.
Who cites it
3 citing papers in PubMed.
- Experiences of contacts with diabetes care professionals among people with type 2 diabetes in an urban Swedish setting.Scandinavian journal of primary health care · 2026Article
- Awareness of Obesity and Diabetes in Libya: Insights From a Cross-Sectional Study.Health science reports · 2026Article
- Culturally Tailored Education Interventions to Enhance Diabetes Self-Management: A Systematic Review of Randomised Controlled Trials.Journal of multidisciplinary healthcare · 2026Review
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe global incidence of type 2 diabetes is rapidly rising, particularly among migrants in developed countries. Migrants bear a significant burden of diabetes. However, this study is the only to evaluate the effects of a culturally appropriate diabetes intervention for these migrants on diabetes knowledge and health outcomes, adding a novel perspective to the existing literature. The aim of the study was to evaluate the effects on diabetes knowledge, HbA1c, and self-rated health of a previously developed, culturally appropriate diabetes education model, based on individual beliefs about health and illness, underpinned by knowledge, and conducted through focus group discussions.
methodsObservational study evaluating the intervention using a pre-test-post-test design. It involved structured interviews and HbA1c measurements before, immediately after, and three months post-participation in the group-based intervention. The study included 22 migrants from the Middle East and Africa, divided into eight focus groups. The group education was conducted by a multi-professional team, led by a diabetes specialist nurse, in primary healthcare settings. Descriptive and analytical statistics applied in analysing data.
resultsThe findings showed that participation in the diabetes education significantly improved the knowledge levels, led to an initial change and possible short-term improvement in HbA1c (better immediate post-intervention), albeit statistically insignificant, but no change in glycaemic control over time and in self-rated health (SRH).
conclusionsThe findings supported the hypothesis of improved knowledge. Moreover, the findings showed a possible initial change in glycaemic control, but no overall effect. The study showed no change in self-rated (perceived) health. Further studies involving other populations and long-term follow-ups are needed. This study highlights the importance of culturally tailored diabetes educational programmes in our multicultural society. By recognising individual beliefs about health and illness, this education programme can significantly increase knowledge and thereby contribute to improved self-care and thus, overall health. Furthermore, it is recommended for daily practice in primary healthcare, supporting healthcare professionals with a proven strategy to increase knowledge.
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Registered trials
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.