Skip to main content

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



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.


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.


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).


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.

Peer Review reports


The global prevalence of diabetes mellitus is nearly 9% [1], with 90% of patients having type 2 diabetes mellitus (T2DM). Additionally, the prevalence of gestational diabetes mellitus (GDM) is increasing with approximately 16% of all live births being affected by hyperglycemia [2]. Because of its health consequences, the global health-related costs are expected to nearly double from the US $1.3 trillion in 2015 to $2.5 trillion by 2030, taking past trends into account [3]. This equals an increase in costs as a share of global gross domestic product from 1.8% in 2015 to a maximum of 2.2% in 2030 [3].

Many cases of T2DM/GDM could be prevented with lifestyle changes, including maintaining a healthy body weight, consuming a healthy diet, and staying physically active [4]. Therefore, there is an increasing need to implement effective preventive policies and to promote healthy lifestyles.

Ethnicity and/or lower socioeconomic status are important considerations in individuals affected by diabetes. For example, people in the lowest socioeconomic groups are 2.5 times as likely, and black and minority ethnic groups are up to six times as likely, to develop diabetes compared with the general population [5]. This could partly be attributed to lifestyle factors such as obesity, which more severely affect deprived communities and those living in vulnerable circumstances [6]. Yet, these vulnerable populations are difficult to reach in terms of preventive measures [6].

Numerous studies demonstrated that T2DM can be prevented or delayed by intensive lifestyle changes in individuals with prediabetes [7]. However, little is known regarding effective communication or awareness strategies for primary prevention of T2DM/GDM, in particular, regarding accessibility to those who are hardest to reach and most at risk. Identifying barriers and facilitators is necessary to increase the number of participants in preventive interventions that address vulnerable groups. Just as importantly, we must determine communication strategies to access participants, especially those in vulnerable groups. Existing programs like the diabetes prevention program (DPP) by the National Institute of Diabetes and Digestive and Kidney Diseases focus on lifestyle changes (e.g., weight loss, physical activity) as a key element in preventing diabetes mellitus exclusively in the general population [8, 9]. Therefore, we aimed to identify translations or modifications of existing programs or new communication strategies for vulnerable groups. Our target audiences are primary care providers (e.g., general practitioners, nutritionists, and midwives) as well as diabetologists and public health experts actively involved in diabetes prevention. Previously published articles demonstrate a need for a systematic approach to scope the current literature [10, 11]. This study is a part of a large project commissioned by the Federal Center for Health Education to develop a national education and communication strategy in preventing diabetes mellitus.

The aim of this study was to systematically review the literature in order to identify and describe communication strategies for preventing T2DM/GDM in vulnerable groups.


This project was commissioned by the Federal Center for Health Education in Germany as part of the national education and communication strategy on diabetes mellitus. The project consists of two scoping reviews, one aimed to identify barriers and facilitating factors [12] and the other aimed to identify communication strategies for diabetes prevention in vulnerable groups. This report focuses on communication strategies. We used the same literature search for both scoping reviews. The methods were in accordance with those stated in a previously published protocol [13]. Deviations are outlined below.

The scoping review was conducted following Arksey and O’Malley’s framework [14] and the Joanna Briggs Institute Reviewers’ Manual 2015 [15]. Furthermore, the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews (PRISMA-ScR) Checklist [16] was used. Since the International Prospective Register of Systematic Reviews (PROSPERO) does not register scoping reviews, this scoping review was not registered.

Eligibility criteria

Inclusion criteria

  • Vulnerable patients with, or at risk of, T2DM/GDM

  • Studies presenting barriers and facilitating factors for implementing a preventive or health-promoting intervention (primary or secondary prevention)

  • World Health Organization (WHO) mortality stratum A countries

  • Publication date no earlier than 2008

Exclusion criteria

  • Indigenous people, children, or people with mental disorders

  • No full text available

  • General prevention with no context of T2DM/GDM

  • Studies including patients on oral antidiabetic or insulin medications

Eligibility criteria are additionally shown in the PPC (Population, Concept, Context) mnemonic, which is presented in the protocol [13]. We included studies presenting communication strategies for the prevention of T2DM/GDM in vulnerable groups. Publications were restricted to studies published from January 2008 onward. External factors such as accessibility of care and information possibly affect communication strategies. We assume that, over the past 10 years, there has been a change in accessibility due to the volume of digital and virtual goods, services, and processes in healthcare. Therefore, we chose a 10 year search period, because communication strategies might have changed, so that there would be a lack of comparability if we chose a longer period. No language restrictions were made. If necessary, full texts were translated. Furthermore, we included only those studies with a low mortality stratum (A) according to the WHO [17], thus ensuring that our findings would be applicable to western industrialized countries. We defined vulnerable groups as a group of people in a disadvantaged position due to factors usually considered outside their control (e.g., race). To operationalize this, we used a list presented by Lewis et al. [18], except we excluded indigenous people, children, and people with mental disorders. These exclusion criteria were added after the protocol was published. This project was commissioned by Federal Centre for Health Education in Germany as part of the “National education and communication strategy on diabetes mellitus.” The results will be used to build a national education strategy in Germany. Since Germany does not have a representative proportion of the indigenous population and due to the narrow time frame of the project, we excluded this subgroup. Because it was necessary to define and separate primary and secondary from tertiary prevention or therapy, we excluded studies with patients treated with any antidiabetic medication (e.g., metformin or insulin).

Information sources

The following electronic databases were searched: MEDLINE via PubMed, EMBASE via Elsevier, PsycINFO via Ebsco PSYNDEX via EbscoCINAHL via Ebsco, and Social Science Citation Index via Clarivate Analytics. Gray literature was searched in and through the homepages of the WHO and international, healthcare, or public health departments (e.g., Department of Health and Social Care, UK; Agency for Healthcare Research and Quality; and the U.S. Preventive Services Task Force). We searched manually for additional studies by cross-checking the reference lists of all included studies.


The search strategy was developed by the research team in collaboration with an experienced librarian and checked by a referee according to the Peer Review of Electronic Search Strategies (PRESS) guideline [19]. For all databases, the initial search was conducted in May 2018, but the gray literature was searched in July 2018. An update of the initial database searches was conducted in September 2019. An update of the initial gray literature search was not performed because the initial search was very time-consuming and not worthwhile. The search strategy is presented as Supplement 1.

Data management

The search results were uploaded and managed using Microsoft Excel. A PRISMA flow diagram was used to summarize and visualize the study selection.

Study selection

Two reviewers independently screened titles and abstracts of the search results against the inclusion criteria. Subsequently, two reviewers independently screened full-text reports for potential eligibility. Any disagreement was resolved through discussion and consensus. The reasons for the exclusion of full texts were documented. A list of included studies in addition to study characterization is shown in Table 1, and a list of excluded studies is provided as Supplements 2.

Table 1 Study characteristics of all included studies

Data extraction

A standardized extraction form was developed for this review. A pilot test of the data extraction form was conducted on a sample of five articles by the reviewers involved in the scoping review to assess its completeness and applicability. Based on the pilot testing, modifications to the standardized data extraction form were needed and undertaken to ensure the data necessary to address the research questions were obtained. Data were extracted by one reviewer and checked by another. Disagreements were resolved through discussion and consensus. The data extraction form consisted of the following items:

  • Study (name, year)

  • Study design

  • Participants (n)

  • Gender [m/f] n(%)

  • Age[years] mean(%)//n(%)//range

  • Vulnerable group description from primary study n(%)

  • Vulnerable group category (migrants, ethnic group, older people, disabled people, people in need of care, unemployed people, homeless people, drug abusers, low socio-economic status)

  • Diabetes risk (prediabetic, diabetic)

  • Inclusion criteria

  • Exclusion criteria

  • Setting (country, city, healthcare facility)

  • Recruitment, prevention (primary, secondary, tertiary)

  • Communication strategies/access

  • Results: communication strategies (authors conclusion)


Data items

The preliminary data extraction categories were derived from our overarching research question. The following data were collected:

  • Study characteristics (e.g., country, setting, publication date, number of participants, target disease, and study design/method)

  • Patient characteristics (e.g., age, gender, and affiliation to the vulnerable group)

  • Inclusion/exclusion criteria

  • Communication strategies

Risk of bias

As this was a scoping review, there was no risk of bias assessment. This is consistent with guidance on the conduct of scoping reviews [14].

Data synthesis

We used Arksey and O’Malley’s methods [14] of reporting and provide a descriptive analysis of the extent, nature, and distribution of the studies included in the review as well as a narrative, thematic summary of the data collected. This was achieved by summarizing the literature according to the types of vulnerable groups, communication strategies, comparators, implementation factors, and outcomes identified. We aimed to map the research landscape in this area. This was facilitated by some form of visual representation of the data to map the extent, range, and nature of research in this area. Data were charted, categorized, and summarized. We reported quantitative (e.g., frequency) and qualitative results. Furthermore, we sought to explore similarities and differences, both within and between studies, to identify patterns and themes and to postulate explanations for findings. By doing so, we also considered the robustness of the included studies themselves by reporting on the overall strength of and confidence in the findings. If possible, we stratified our results by vulnerable groups.

Data analysis

Assignment of subjects into the two vulnerable group migrants and ethnic group was made in the context of their labeling within the studies. For example, Mexican Americans were assigned to the ethnic group because we defined them as Americans with a Mexican background. If a group was labeled as Latinos/Latinas, we assigned them to the vulnerable group migrants. Categorization of the communication strategies was made in two steps. First, we tried to identify which communication strategies were used, and second, we tried to identify the main communication strategy focused on, if more than one strategy was used.


In our initial search, we identified 8584 articles, 1460 through the update search and 121 through gray literature search apart from the manual search for additional studies by crosschecking which sums up to 10,044 articles. After removing all duplicates, we screened 7888 articles. In total, 572 articles were assessed in full text for eligibility (see Fig. 1). Of these, 549 articles were excluded mostly because of the absence of communication strategies (n=271) or missing vulnerable groups (n=152). A list of excluded full-text studies is available as Supplement 2.

Fig. 1

Flow chart

Characteristics of included studies

The study design of the identified studies (n=24) ranged from interventional trials (randomized controlled trials (RCTs) (n=5), protocols for RCTs (n=2), and other study designs (n=8)) to qualitative studies (focus group (n=3) or mixed methods (n=2)). Additionally, we identified three narrative reviews and one feasibility study. All identified studies focused on T2DM; none focused on GDM. Most studies were conducted in the USA (n=15), one in the Netherlands, and one in Japan. We identified five different vulnerable groups within the identified studies: migrants (n=9), ethnic groups such as African Americans (n=8), people with a low socioeconomic status (n=3), older people (n=1), and people in need of care (n=1). The identified communication strategies were stratified into the following three categories: adapted diabetes prevention programs (ADPPs), community health workers (CHWs), and technical approaches (TAs). Table 2 shows the allocations to each category in addition to descriptions of the communication strategies in Table 3. All study characteristics are listed in Table 1. However, some of the included studies used more than one strategy, for example, some kind of DPP and a TA [20], in which case we pointed out the study’s main focus.

Table 2 Communication strategies of the included studies
Table 3 Study description of all included studies

Adapted diabetes prevention programs

We identified 21 studies that used any kind of ADPP (in 12 studies, it was the main focus [21,22,23,24,25,26,27,28,29,30,31,32]). Most studies adapted the DPP [9], which is a lifestyle intervention designed in 2002 by the DPP Research Group. It is based on a 16-session core curriculum with sessions such as Healthy Eating, Being Active, and Problem Solving. Other programs such as the National Diabetes Education Program (NDEP) [33] or the National Diabetes Prevention Program (NDPP) [34] were also used as a curriculum base for some of the included studies (e.g., NDEP [35] and NDPP [32]). The included studies (n=21) targeted mostly migrants (n= 9) and ethnic groups (n=6). Mostly, the adaptation of the DPPs was based on barriers or facilitating factors to participate in a preventive program, e.g., language barriers, economic factors, or religious/cultural background. Some studies (for example [22, 25, 31]) were adapted for cultural/religious backgrounds, including language adaptation. Other studies focused on community translation and financial aspects.

One example of an ADPP is the study conducted by Nicolaou et al. [28]. They described a lifestyle intervention based on a DPP targeting Surinamese men and women from South Asia living in the Netherlands. The program was culturally adapted; e.g., they had dietitians who were familiar with Surinamese South Asian dietary habits and provided cooking classes to adjust traditional dishes. Furthermore, they provide family sessions in home settings to integrate family in achieving dietary goals. Additionally, they used role models from favorite Bollywood movies in an information folder with examples and tips on healthy eating using traditional foods, yoga, and stories about weight loss practices from Bollywood stars. Cultural adaptation was also achieved with respect to physical activity by recommending 30 min of daily yoga and Bollywood-like dancing using motivational interviewing [28].

Community health workers

We identified five studies, which used CHWs, three of which focused on CHWs [35,36,37,38]. Blanks et al. [35] and Harvey et al. [37] both used CHWs in African American settings for preventive interventions. In general, CHWs were trained in T2DM prevention and had the same ethnic and social background as the participants. Blanks et al. focused on prediabetic African American women. The aim was to increase participant knowledge related to the complex of nutrition, physical activity, and health literacy and therefore have a positive impact on increasing awareness of diabetes risks and improved access to healthcare [35]. Harvey et al. targeted African Americans and Latinos (88.5% women) at risk of diabetes and hypertension in house parties where health workers or health connections advocates provided screening and shared health information and practical support with members of their social networks [37].

Technological approaches

Another communication strategy was an approach using any kind of technical device. Overall, nine studies focused on TA in combination with an ADPP [20, 36, 39,40,41,42,43,44,45], but two used a TA alone [39, 40].

Fischer et al. [36] sent bilingual (English/Spanish) text messages relating to nutrition, physical activity, and motivation. The intervention group could additionally join the DPP classes. Handley et al. [43] also sent text messages and used weekly phone calls plus live, tailored callback health coaching.

The kiosk system used by Bolin et al. [39] is a bilingual (English/Spanish) diabetes education kiosk system (Diosk) that provides information on different topics such as what “diabetic” means, preventing diabetes, meal planning, and exercise. Kiosk systems use touch-screen displays at waist level. They were placed in low-income pharmacies, federally qualified healthcare centers, and community arts centers. The Diosks not only provide on-demand information to the user but also collect general user frequencies and the frequencies of the topics accessed.

Fontil et al. [41] used a bilingual (English/Spanish) digital health program for low-income prediabetic participants. IT support for the first use of the program, especially for people with low computer capabilities as well as an informational event adapted to people with a low reading level were provided prior to the program use.


We identified different communication strategies for the prevention of T2DM in vulnerable groups. All but two studies were conducted in the USA and therefore targeted mostly ethnic groups (African Americans) or migrants. Most communication strategies used TAs or adapted existing programs such as the DPP for language and cultural background. TAs differed most within the categories, because every identified study used a different approach (videos, SMS, kiosk systems, and digital health program). The other categories were more similar among the studies, but they may have, for example, adapted for different barriers for different vulnerable groups.

It seems necessary to identify common barriers and facilitating factors in T2DM prevention to develop communication strategies for vulnerable groups. Some of the identified studies initially searched for barriers and facilitating factors or gained this information through focus groups. Therefore, some of the communication strategies had already been adapted to known barriers [30, 39] such as language (e.g., adaptation to bilingualism) or cultural factors.

The communication strategies often apply to just one vulnerable group, and there are just a few that overlap, such as low-income migrants. Especially, religious and cultural factors seem to require different approaches for each vulnerable group [46]. Furthermore, some approaches focused on only one gender [24, 35]. Therefore, communication strategies should be tailored for one vulnerable group and/or gender and adapted to all known barriers.

One important known facilitating factor is family and friends [47]. None of the identified studies adapted their approaches with respect to this factor. For example, it is conceivable to include family members in cooking or exercise classes.

Most studies used more than one communication strategy; just a few used only one. There are no data on the effectiveness of one strategy compared with mixed strategies regarding the willingness to participate or the outcome itself. It might be necessary to use a mixed strategy to adapt a preventive program for some of the known barriers, for example, to use a combination of a CHW strategy (a female CHW) and an ADPP strategy (language and cultural adaptation for migrant women). Perhaps, it is required to analyze whether all approaches could be used for each vulnerable group. For example, TAs may need a special adaptation for older people. Yet, recent studies show a high adherence to TA in vulnerable groups [48].

There are systematic reviews focusing on single preventive or therapeutic approaches like CHW or community health center-based interventions [49] on diabetes in the general population. This scoping review adds a detailed list of communication strategies in the prevention of type 2 diabetes and gestational diabetes in vulnerable groups to the literature. In conjunction with recently described barriers and facilitating factors in diabetes prevention in vulnerable groups [50]; therefore, future preventive programs can benefit from these findings or already existing programs could be adapted.


As mentioned before, this review is part of the national awareness and prevention strategy on diabetes in Germany conducted by the Federal Center for Health Education and the Federal Ministry of Health. For this reason, we had to limit the publication date of included studies because we had a narrow time frame for completing this scoping review. However, there might be too many differences in communication strategies arising from increasing digitization. Sometimes, it was difficult to assign groups to either ethnic groups or migrants. Therefore, there may have been incorrect assignments to the vulnerable groups. Since these two groups have a lot of overlap in barriers and facilitating factors to join a preventive program, we do not expect these potentially incorrect assignments to affect the quality of this study. This overlap arises from the fact that some ethnic groups may have originally been migrants in another generation. Due to this overlap, it would be conceivable to address both groups together in preventive measures. Furthermore, although we stated the main focus regarding the communication strategy of each study, we could not know whether this was the intended focus of the studies. Due to the aim of this scoping review, we assume that this has no impact on the quality of this study.

Further directions

Since digitalization has become increasingly important over the last few years, mixed approaches including TAs versus TA only should be analyzed regarding effectiveness. Furthermore, the effectiveness of different TAs should be analyzed.


We identified three different categories of communication strategies for the prevention of T2DM in vulnerable groups. Some communication strategies are already adapted to barriers and facilitating factors to increase participation and motivation. Since most studies report communication strategies only for the vulnerable group, it seems necessary to address each vulnerable group separately.

Since this project was commissioned by the Federal Center for Health Education in Germany as part of the national education and communication strategy on diabetes mellitus, the results of our and other projects were summarized and are currently used to generate a national education and communication strategy. The implementation of this strategy is the responsibility of the Federal Center for Health Education in Germany.

Availability of data and materials

Not applicable.



Adapted Diabetes Prevention Program


Community health worker


Diabetes Prevention Program


Gestational diabetes


National Diabetes Education Program


National Diabetes Prevention Program


Population, Concept, Context


Randomized controlled trial


Type 2 diabetes mellitus


Technical approach


World Health Organization


  1. 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.

    CAS  PubMed  Google Scholar 

  2. 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.

    Google Scholar 

  3. 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.

    PubMed  Google Scholar 

  4. 4.

    Association AD. 5. Prevention or delay of type 2 diabetes: standards of medical care in diabetes-2018. Diabetes Care. 2018;41:51–4.

    Google Scholar 

  5. 5.

    All Parliamentary Group for Diabetes and Diabetes UK. Diabetes and the disadvantaged: reducing health inequalities in the UK; 2006. p. 1–23.

    Google Scholar 

  6. 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.

    PubMed  Google Scholar 

  7. 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.

    PubMed  PubMed Central  Google Scholar 

  8. 8.

    Diabetes Prevention Program (DPP) []. Accessed 03 Sep 2021.

  9. 9.

    Diabetes Prevention Program (DPP) Research Group, The Diabetes Prevention Program (DPP): description of lifestyle intervention. Diabetes Care. 2002;25(12):2165–71.

  10. 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.

    PubMed  PubMed Central  Google Scholar 

  11. 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.

    PubMed  PubMed Central  Google Scholar 

  12. 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.

    Google Scholar 

  13. 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.

    Google Scholar 

  14. 14.

    Arksey HaOM L. Scoping studies: towards a methodological framework. Int J Soc Res Methodol. 2005;8(1):19–32.

    Google Scholar 

  15. 15.

    The Joanna Briggs Institute, Joanna Briggs Institute Reviewers’ Manual: 2015 edition / Supplement: Methodology for JBI Scoping Reviews, The Joanna Briggs Institute.

  16. 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.

    PubMed  Google Scholar 

  17. 17.

    List of Member States by WHO region and mortality stratum []. Accessed 03 Sep 2021.

  18. 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.

    Google Scholar 

  19. 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.

    PubMed  Google Scholar 

  20. 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.

    PubMed  PubMed Central  Google Scholar 

  21. 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.

    Google Scholar 

  22. 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.

    PubMed  PubMed Central  Google Scholar 

  23. 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.

    PubMed  Google Scholar 

  24. 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.

    PubMed  PubMed Central  Google Scholar 

  25. 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.

    PubMed  Google Scholar 

  26. 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.

    PubMed  Google Scholar 

  27. 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. 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.

    PubMed  Google Scholar 

  29. 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.

    PubMed  Google Scholar 

  30. 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.

    PubMed  Google Scholar 

  31. 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.

    PubMed  PubMed Central  Google Scholar 

  32. 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.

    PubMed  PubMed Central  Google Scholar 

  33. 33.

    National Diabetes Education Program []. Accessed 23 Oct 2019.

  34. 34.

    Centers for Disease Control and Prevention, National Diabetes Prevention Program. Accessed 23 Oct 2019.

  35. 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.

    PubMed  PubMed Central  Google Scholar 

  36. 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.

    CAS  PubMed  Google Scholar 

  37. 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.

    PubMed  Google Scholar 

  38. 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.

    PubMed  Google Scholar 

  39. 39.

    Bolin JN, Ory MG, Wilson AD, Salge L. Diabetes education kiosks in a latino community. Diabetes Educ. 2013;39(2):204–12.

    PubMed  Google Scholar 

  40. 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.

    Google Scholar 

  41. 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.

    PubMed  PubMed Central  Google Scholar 

  42. 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.

    PubMed  PubMed Central  Google Scholar 

  43. 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.

    PubMed  PubMed Central  Google Scholar 

  44. 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.

    PubMed  PubMed Central  Google Scholar 

  45. 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.

    PubMed  PubMed Central  Google Scholar 

  46. 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.

    Google Scholar 

  47. 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.

    PubMed  PubMed Central  Google Scholar 

  48. 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.

    PubMed  PubMed Central  Google Scholar 

  49. 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.

    PubMed  Google Scholar 

  50. 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.

    CAS  PubMed  PubMed Central  Google Scholar 

Download references


Not applicable.


This study was funded by the Federal Center for Health Education. The funder had no role in developing the scoping review. The findings and conclusions are those of the authors. Open Access funding enabled and organized by Projekt DEAL.

Author information




JB, CG, and DP conceived and drafted the scoping review. The authors read and approved the final manuscript.

Corresponding author

Correspondence to Dawid Pieper.

Ethics declarations

Ethics approval and consent to participate

Not applicable.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary Information

Additional file 1

: Supplement 1. Search strategies.

Additional file 2

: Supplement 2. List of studies excluded in full-text screening.

Additional file 3: Supplement 3.

 Preferred Reporting Items for Systematic reviews and Meta-Analyses extension for Scoping Reviews (PRISMA-ScR) Checklist.

Additional file 4

: Supplement 4. List of WHO stratum A countries.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit The Creative Commons Public Domain Dedication waiver ( applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Breuing, J., Joisten, C., Neuhaus, A.L. et al. Communication strategies in the prevention of type 2 diabetes and gestational diabetes in vulnerable groups: a scoping review. Syst Rev 10, 301 (2021).

Download citation


  • Type 2 diabetes mellitus
  • Prevention
  • Vulnerable groups
  • Communication strategies