Skip to main content
Key Specialties
Cardiology Diabetology Endocrinology Gastroenterology Geriatrics and Gerontology Gynecology and Obstetrics Hematology Infectious Disease Internal Medicine Nephrology Neurology Oncology Pediatrics Respiratory Medicine Rheumatology Surgery
Congress Coverage
2024 ACC Congress 2023 ESMO Congress 2023 EASD Congress 2023 ERS Congress 2023 ESC Congress
Clinical Collections
Advances in Alzheimer’s

At a glance: The STEP trials

A round-up of the STEP phase 3 clinical trials evaluating semaglutide for weight loss in people with overweight or obesity.
ADVANCED SEARCH
Log in
Top
Systematic Reviews
Published in: Systematic Reviews 1/2021

Open Access 01-12-2021 | Gestational Diabetes | Research

Communication strategies in the prevention of type 2 diabetes and gestational diabetes in vulnerable groups: a scoping review

Authors: Jessica Breuing, Christine Joisten, Annika Lena Neuhaus, Simone Heß, Lena Kusche, Fabiola Haas, Mark Spiller, Dawid Pieper

Published in: Systematic Reviews | Issue 1/2021

Login to get access

Abstract

Background

The global prevalence of diabetes is nearly 9%, with an upward trend in type 2 diabetes mellitus (T2DM) and gestational diabetes (GDM). Although evidence shows that vulnerable groups are affected disproportionally, these groups are difficult to reach in terms of preventive measures. Currently, there is no gold standard regarding communication strategies and/or public awareness campaigns.

Methods

We conducted a scoping review in September 2019. Two reviewers independently screened the results of the electronic literature search in several databases, including Medline, EMBASE, and PsycINFO. Extracted data were charted, categorized, and summarized.

Results

All of the included articles (n=24) targeted T2DM; none targeted GDM. We identified the following five different vulnerable groups within the identified studies: migrants (n=9), ethnic groups such as African Americans (n=8), people with low socioeconomic status (n=3), older people (n=1), and people in need of care (n=1). Three categories of communication strategies were identified as follows: adapted diabetes prevention programs (n=21), community health workers (n=5), and technical approaches (n=9).

Conclusion

We found different approaches for preventive interventions for T2DM. Some of these approaches were already adapted to known barriers. Communication strategies should be adapted to barriers and facilitating factors to increase participation and motivation.
Appendix
Available only for authorised users
Literature
1.
Ogurtsova K. dRFJ, Huang Y, Linnenkamp U, Guariguata L, Cho NH, Cavan D, Shaw JE, Makaroff LE: IDF diabetes atlas: global estimates for the prevalence of diabetes for 2015 and 2040. Diabetes Res Clin Pract. 2017;128:40–50.PubMedCrossRef
2.
International Association of Diabetes and Pregnancy Study Groups Consensus Panel MB, Gabbe SG, Persson B, Buchanan TA, Catalano PA, Damm P, et al. International association of diabetes and pregnancy study groups recommendations on the diagnosis and classification of hyperglycemia in pregnancy. Diabetes Care. 2010;33(3):676–82.CrossRef
3.
Bommer CSV, Heesemann E, Manne-Goehler J, Atun R, Bärnighausen T, Davies J, et al. Global economic burden of diabetes in adults: projections from 2015 to 2030. Diabetes Care. 2018;41(5):963–70.PubMedCrossRef
4.
Association AD. 5. Prevention or delay of type 2 diabetes: standards of medical care in diabetes-2018. Diabetes Care. 2018;41:51–4.CrossRef
5.
All Parliamentary Group for Diabetes and Diabetes UK. Diabetes and the disadvantaged: reducing health inequalities in the UK; 2006. p. 1–23.
6.
Meeks KAC, Adeyemo A, Beune EJ, Modesti PA, Stronks K, Zafarmand MH, et al. Disparities in type 2 diabetes prevalence among ethnic minority groups resident in Europe: a systematic review and meta-analysis. Intern Emerg Med. 2016;11(3):327–40.PubMedCrossRef
7.
Cefalu WTBJ, Tuomilehto J, Fleming GA, Ferrannini E, Gerstein HC, Bennett PH, et al. Update and next steps for real-world translation of interventions for type 2 diabetes prevention: reflections from a diabetes care editors’ expert forum. Diabetes Care. 2016;39(7):1186–201.PubMedPubMedCentralCrossRef
8.
9.
Diabetes Prevention Program (DPP) Research Group, The Diabetes Prevention Program (DPP): description of lifestyle intervention. Diabetes Care. 2002;25(12):2165–71.
10.
Kyrou I, Tsigos C, Mavrogianni C, Cardon G, Van Stappen V, Latomme J, et al. Sociodemographic and lifestyle-related risk factors for identifying vulnerable groups for type 2 diabetes: a narrative review with emphasis on data from Europe. BMC Endocr Disord. 2020;20(Suppl 1):134.PubMedPubMedCentralCrossRef
11.
Kivelä J, Wikström K, Virtanen E, Georgoulis M, Cardon G, Civeira F, et al. Obtaining evidence base for the development of Feel4Diabetes intervention to prevent type 2 diabetes - a narrative literature review. BMC Endocr Disord. 2020;20(Suppl 1):140.PubMedPubMedCentralCrossRef
12.
Breuing J, Pieper D, Neuhaus AL, Heß S, Lütkemeier L, Haas F, et al. Barriers and facilitating factors in the prevention of diabetes type II and gestational diabetes in vulnerable groups: protocol for a scoping review. Syst Rev. 2018;7(245):1–4.
13.
Breuing J, Graf C, Neuhaus AL, Heß S, Lütkemeier L, Haas F, et al. Communication strategies in the prevention of type 2 and gestational diabetes in vulnerable groups: protocol for a scoping review. Syst Rev. 2019;8(98):1–5.
14.
Arksey HaOM L. Scoping studies: towards a methodological framework. Int J Soc Res Methodol. 2005;8(1):19–32.CrossRef
15.
16.
Tricco AC, Lillie E, Zarin W, O'Brien KK, Colquhoun H, Levac D, et al. PRISMA Extension for Scoping Reviews (PRISMA-ScR): checklist and explanation. Ann Intern Med. 2018;169(7):467–73.PubMedCrossRef
17.
18.
Lewis V, Larson BK, McClurg A, Goldman Boswell R, Fisher ES. The promise and peril of accountable care for vulnerable populations: a framework for overcoming obstacles. Health Aff. 2012;31(8):1777–85.CrossRef
19.
McGowan J, Sampson M, Salzwedel DM, Cogo E, Foerster V, Lefebvre C. PRESS Peer Review of Electronic Search Strategies: 2015 Guideline Explanation and Elaboration (PRESS E&E). J Clin Epidemiol. 2016;75:40–6.PubMedCrossRef
20.
Bender MS, Cooper BA, Flowersc E, Mae R, Araia S. Filipinos fit and trim - a feasible and efficacious DPP-based intervention trial. Contemp Clin Trials Commun. 2018;12:76–84.PubMedPubMedCentralCrossRef
21.
Borelli MR, Riden HE, Bang H, Schenker MB. Protocol for a cluster randomized controlled trial to study the effectiveness of an obesity and diabetes intervention (PASOS) in an immigrant farmworker population. BMC Public Health. 2018;18(849):1–11.
22.
Castro-Rivas E, Boutin-Foster C, Milan M, Kanna B. “Es como uno bomba de tiempo [It’s like a time bomb]”: a qualitative analysis of perceptions of diabetes among first-degree relatives of latino patients with diabetes. Diabetes Spectr. 2014;27(1):50–7.PubMedPubMedCentralCrossRef
23.
Ford AF, Reddick KB, Browne MC, Robins A, Thomas SB, Quinn SC. Beyond the Cathedral: building trust to engage the African American community in health promotion and disease prevention. Health Promot Pract. 2009;10(4):485–9.PubMedCrossRef
24.
Gary-Webb TL, Walker EA, Realmuto L, Kamler A, Lukin J, Tyson W, et al. Translation of the national diabetes prevention program to engage men in disadvantaged neighborhoods in New York City: a description of power up for health. Am J Mens Health. 2018;12(4):998–1006.PubMedPubMedCentralCrossRef
25.
Gutierrez J, Devia C, Weiss L, Chantarat T, Ruddock C, Linnell J, et al. Health, community, and spirituality - evaluation of a multicultural faith-based diabetes prevention program. Diabetes Educ. 2014;40(2):214–22.PubMedCrossRef
26.
Hall DL, Lattie EG, McCalla JR, Saab PG. Translation of the diabetes prevention program to ethnic communities in the United States. J Immigr Minor Health. 2016;18(2):479–89.PubMedCrossRef
27.
Newton RLJ, WD Johnson,; Larrivee, S.; Hendrick, C.; Harris, M.; Johannsen, N.M.; Swift, D.L.; Hsia, D.S.; Church, T.S.: A randomized community-based exercise training trial in African American men: ARTIIS. Med Sci Sports Exerc 2019, N.R.(N.R.):1-44.
28.
Nicolaou M, Vlaar E, van Valkengoed I, Middelkoop B, Stronks K, Nierkens V. Development of a diabetes prevention program for Surinamese South Asians in the Netherlands. Health Promot Int. 2013;29(4):680–91.PubMedCrossRef
29.
Ruggiero L, Oros S, Choi JK. Community-based translation of the diabetes prevention program’s lifestyle intervention in an underserved latino population. Diabetes Educ. 2011;37(4):564–672.PubMedCrossRef
30.
Siddiqui F, Koivula RW, Kurbasic A, Lindblad U, Nilsson PM, Bennet L. Physical activity in a randomized culturally adapted lifestyle intervention. Am J Prev Med. 2018;55(2):187–96.PubMedCrossRef
31.
Vincent D, McEwen MM, Hepworth JT, Stump CS. The effects of a community-based, culturally tailored diabetes prevention intervention for high-risk adults of mexican descent. Diabetes Educ. 2014;40(2):202–2013.PubMedPubMedCentralCrossRef
32.
Walker EA, Weiss L, Gary-Webb TL, Realmuto L, Kamler A, Ravenell J, et al. Power up for health: pilot study outcomes of a diabetes prevention program for men from disadvantaged neighborhoods. Am J Mens Health. 2018;12(4):989–97.PubMedPubMedCentralCrossRef
33.
34.
35.
Blanks SH, Treadwell H, Bazzell A, Graves W, Osaji O, Dean J, et al. Community engaged lifestyle modification research: engaging diabetic and prediabetic African American women in community-based interventions. J Obes. 2016;2016:3609289.PubMedPubMedCentralCrossRef
36.
Fischer HH, Fischer IP, Pereira RI, Furniss AL, Rozwadowski JM, Moore SL, et al. Havranek1: Text message support for weight loss in patients with prediabetes: a randomized clinical trial. Diabetes Care. 2016;39:1364–70.PubMedCrossRef
37.
Harvey I, Schulz A, Israel B, Sand S, Myrie D, Lockett M, et al. The healthy connections project: a community-based participatory research project involving women at risk for diabetes and hypertension. Prog Community Health Partnersh. 2009;3(4):287–300.PubMedCrossRef
38.
Whittemore R, Rosenberg A, Gilmore L, Withey M, Breault A. Implementation of a diabetes prevention program in public housing communities. Public Health Nurs. 2013;31(4):317–26.PubMedCrossRef
39.
Bolin JN, Ory MG, Wilson AD, Salge L. Diabetes education kiosks in a latino community. Diabetes Educ. 2013;39(2):204–12.PubMedCrossRef
40.
Chang M-W, Brown R, Nitzke S. Results and lessons learned from a prevention of weight gain program for low-income overweight and obese young mothers: mothers in motion. BMC Public Health. 2017;17(182):1–12.
41.
Fontil V, McDermott K, Tieu L, Rios C, Gibson E, Sweet CC, et al. Adaptation and feasibility study of a digital health program to prevent diabetes among low-income patients: results from a partnership between a digital health company and an Academic Research Team. J Diabetes Res. 2016;2016:8472391.PubMedPubMedCentralCrossRef
42.
Fukuoka Y, Vittinghoff E, Hooper J. A weight loss intervention using a commercial mobile application in Latino Americans—Adelgaza Trial. Transl Behav Med. 2018;8(5):714–23.PubMedPubMedCentralCrossRef
43.
Handley MA, Harleman E, Gonzalez-Mendez E, Stotland NE, Althavale P, Fisher L, et al. Applying the COM-B model to creation of an IT-enabled health coaching and resource linkage program for low-income Latina moms with recent gestational diabetes: the STAR MAMA program. Implement Sci. 2016;11(1):73.PubMedPubMedCentralCrossRef
44.
Kato S, Ando M, Kondo T, Yoshida Y, Honda H, Maruyama S. Lifestyle intervention using Internet of Things (IoT) for the elderly: a study protocol for a randomized control trial (the BEST-LIFE study). Nagoya J Med Sci. 2018;80(2):175–82.PubMedPubMedCentral
45.
Kim SE, Sweet CMC, Gibsonb E, Maderob EN, Rubinoc B, Morrisonc J, et al. Evaluation of a digital diabetes prevention program adapted for the Medicaid population: study design and methods for a non-randomized, controlled trial. Contemp Clin Trials Commun. 2018;10:161–8.PubMedPubMedCentralCrossRef
46.
Islam NS, Tandon D, Mukherji R, Tanner M, Ghosh K, Alam G, et al. Understanding barriers to and facilitators of diabetes control and prevention in the New York City Bangladeshi community: a mixed-methods approach. Dermatol Res Pract. 2012;102(3):486–90.
47.
Hempler NF, Nicic S, Ewers B, Willaing B. Dietary education must fit into everyday life: a qualitative study of people with a Pakistani background and type 2 diabetes. Patient Prefer Adherence. 2015;9:347–54.PubMedPubMedCentralCrossRef
48.
Arsenijevic J, Tummers L, Bosma N. Adherence to electronic health tools among vulnerable groups: systematic literature review and meta-analysis. J Med Internet Res. 2020;22(2):e11613.PubMedPubMedCentralCrossRef
49.
Han HR, McKenna S, Nkimbeng M, Wilson P, Rives S, Ajomagberin O, et al. A systematic review of community health center based interventions for people with diabetes. J Community Health. 2019;44(6):1253–80.PubMedCrossRef
50.
Breuing J, Pieper D, Neuhaus AL, Heß S, Lütkemeier L, Haas F, et al. Barriers and facilitating factors in the prevention of diabetes type 2 and gestational diabetes in vulnerable groups: a scoping review. PLoS One. 2020;15(5):e0232250.PubMedPubMedCentralCrossRef
Metadata
Title
Communication strategies in the prevention of type 2 diabetes and gestational diabetes in vulnerable groups: a scoping review
Authors
Jessica Breuing
Christine Joisten
Annika Lena Neuhaus
Simone Heß
Lena Kusche
Fabiola Haas
Mark Spiller
Dawid Pieper
Publication date
01-12-2021
Publisher
BioMed Central
Published in
Systematic Reviews / Issue 1/2021
Electronic ISSN: 2046-4053
DOI
https://doi.org/10.1186/s13643-021-01846-8

Other articles of this Issue 1/2021

Systematic Reviews 1/2021 Go to the issue

Protocol

Molecular mechanisms of Zika virus teratogenesis from animal studies: a systematic review protocol

Commentary

Dealing with predatory journal articles captured in systematic reviews

Systematic review update

Low birth weight as a predictor of adverse health outcomes during adulthood in twins: a systematic review and meta-analysis

Research

Anti-vascular endothelial growth factor therapy for age-related macular degeneration: a systematic review and network meta-analysis

Protocol

Patient-important outcomes reported in randomized controlled trials of pharmacologic treatments for COVID-19: a protocol of a META-epidemiological study

Methodology

A likelihood ratio test for the homogeneity of between-study variance in network meta-analysis