Community and stakeholders’ engagement in the prevention and management of Type 2 diabetes: a qualitative study in socioeconomically disadvantaged suburbs in region Stockholm

Author:

Al-Murani F.1ORCID,Aweko J.1ORCID,Nordin I.2,Delobelle P.34,Kasujja Fx.5ORCID,Östenson C.-G.6,Peterson S. S.7ORCID,Daivadanam M.12ORCID,Alvesson HM.1ORCID

Affiliation:

1. Department of Public Health Sciences, Karolinska Institutet, Stockholm, Sweden

2. Department of Food Studies, Nutrition, and Dietetics, Uppsala University, Uppsala, Sweden

3. School of Public Health, University of the Western Cape, Bellville, South Africa

4. Chronic Disease Initiative for Africa, University of Cape Town, Rondebosch, South Africa

5. Department of Biostatistics and Epidemiology, Makerere University College of Health Sciences, School of Public Health, Kampala, Uganda

6. Department of Molecular Medicine and Surgery, Diabetes and Endocrinology Unit, Karolinska Institutet, Stockholm, Sweden

7. Department of Women‘s and Children‘s Health, International Maternal and Child Health, Uppsala University, Uppsala, Sweden

Funder

the European Commission’s Horizon 2020 Health Coordination Activities

Publisher

Informa UK Limited

Subject

Public Health, Environmental and Occupational Health,Health Policy

Reference56 articles.

1. The NCD Alliance. NCDs across the SDGs: a call for an intergrated approach1. The NCD Alliance, 2016.

2. IDF. IDF diabetes atlas; Eighth edition 2017. The International Diabetes Federation, 2017 2017. Report No.

3. Statistika Centralbyran. Statistik årsbok för Stockholm 2018. Internet: Stockholm Stad, 2018.

4. Immigration and emigration by sex and country of birth 1970–2017 and projection 2018–2070 [Internet]. Statistika Centralbyran 2018. 2018 [cited 2018 Jul 12]. Available from: https://www.scb.se/en/finding-statistics/statistics-by-subject-area/population/population-projections/population-projections/pong/tables-and-graphs/immigration-and-emigration-by-sex-and-country-of-birth-19702017-and-projection-20182070/.

5. Socioeconomic differences in healthcare utilization, with and without adjustment for need: An example from Stockholm, Sweden

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