Back to Journals » Journal of Multidisciplinary Healthcare » Volume 19

Culturally Tailored Education Interventions to Enhance Diabetes Self-Management: A Systematic Review of Randomised Controlled Trials

Authors Widiastuti L, Pahria T, Haroen H, Sofiatin Y ORCID logo

Received 25 December 2025

Accepted for publication 19 March 2026

Published 8 April 2026 Volume 2026:19 591652

DOI https://doi.org/10.2147/JMDH.S591652

Checked for plagiarism Yes

Review by Single anonymous peer review

Peer reviewer comments 2

Editor who approved publication: Professor Charles V Pollack



Linda Widiastuti,1 Tuti Pahria,2 Hartiah Haroen,3 Yulia Sofiatin4

1Doctoral Program in Nursing, Faculty of Nursing, Universitas Padjadjaran, Sumedang, West Java, Indonesia; 2Department of Medical Surgical Nursing, Faculty of Nursing, Universitas Padjadjaran, Sumedang, West Java, Indonesia; 3Department of Community Nursing, Faculty of Nursing, Universitas Padjadjaran, Sumedang, West Java, Indonesia; 4Department of Epidemiology, Faculty of Medicine, Universitas Padjadjaran, Sumedang, West Java, Indonesia

Correspondence: Linda Widiastuti, Doctoral Program in Nursing, Faculty of Nursing, Universitas Padjadjaran, Sumedang, West Java, Indonesia, Fax +62227795596, Email [email protected]

Background: Cultural disparities in type 2 diabetes mellitus (T2DM) care contribute to suboptimal self-management and poor glycemic outcomes among ethnic minority populations. Culturally tailored diabetes self-management education and support (DSMES) interventions have emerged as a strategy to improve disease outcomes by aligning educational content with patients’ beliefs, language, and traditional practices. This systematic review evaluates the effectiveness and core cultural components of culturally adapted DSMES interventions.
Methods: A systematic search was conducted in PubMed, Scopus, EBSCOhost, and Taylor & Francis using PRISMA 2020 guidelines. Randomized controlled trials (RCTs) involving culturally tailored DSMES for adults with T2DM were included. Study quality was appraised using the Joanna Briggs Institute (JBI) checklist. Data were extracted and synthesized narratively.
Results: A total of 14 high-quality RCTs met the inclusion criteria, representing diverse cultural groups including Latino, Black-British, Chinese, Pakistani immigrant, Iranian, and Korean American populations. Interventions incorporated culture through native-language delivery, traditional dietary guidance, family and community engagement, and culturally aligned behavioral support delivered via (I) traditional face-to-face or (II) technology-based interventions. Across the included studies, culturally tailored interventions were associated with statistically significant improvements in several diabetes self-management outcomes, including self-management behaviors, self-efficacy, diabetes knowledge, and psychosocial well-being, in many intervention groups compared with controls. Clinical outcomes also improved in several trials, most notably through significant reductions in HbA1c levels.
Conclusion: Culturally tailored DSMES effectively enhances both behavioural and clinical outcomes in ethnically diverse populations with T2DM. Integrating cultural values, traditional diet, language, and community support strengthens patient engagement and optimizes the intervention’s impact. Future studies should emphasise long-term follow-up, cost-effectiveness evaluation, and standardized reporting of cultural adaptation components to support wider implementation and scalability.

Keywords: type 2 diabetes mellitus, culturally tailored intervention, diabetes self-management education, health disparities, randomized controlled trials

Introduction

Diabetes mellitus (DM) is a global health challenge that has continued to increase in recent decades. The 2021 Global Burden of Disease (GBD) study reported that approximately 529 million people worldwide live with DM, with a prevalence of 6.1%.1 The number of people with diabetes has increased sharply from around 200 million people in 1990 to 830 million in 2022.2 This burden is particularly concentrated in low- and middle-income countries, which face limited health resources, access to education, and ongoing support for diabetes self-management.3 In this context, improving the quality and effectiveness of educational interventions to support diabetes self-management is a global priority agenda.

Diabetes self-management education and support (DSMES) is recognized as an essential component of quality diabetes care.4–6 The consensus report of the American Diabetes Association and related professional organizations confirms that DSMES contributes to lowering HbA1c, preventing or delaying complications, improving quality of life, and strengthening patients’ coping and decision-making abilities in daily self-care practices.7 However, in developing countries, DSME has also been shown to improve glycemic control, but evidence is still limited and shows heterogeneity in design, intensity, and intervention components.6 Therefore, there is a need to develop and evaluate educational interventions that are more sensitive to cultural context.8,9

Previous studies have shown that ethnic minority groups and migrant populations have a higher prevalence of type 2 diabetes, poorer glycemic control, and a higher burden of complications than the majority population in high-income countries.8 Barriers, such as language differences, low health literacy, different models of illness explanation, culturally specific eating habits, and the role of the family in health decision-making, can limit the effectiveness of standard education.7,10–12 Culturally tailored educational interventions attempt to address these barriers by adapting content (eg, dietary advice, metaphors, narratives), format (group vs. individual sessions, role of community health workers), language, and learning strategies to align with the values, beliefs, and everyday practices of the target group.7,13,14 Culturally tailored education interventions are highly effective in enhancing diabetes self-management, primarily when they are co-created with communities, address specific cultural needs, and involve family or peer support.13,15–17 These programs lead to better clinical, behavioural, and psychosocial outcomes, making them essential for reducing disparities in diabetes care.

To effectively bridge the gap in diabetes care for ethnic minorities, educational interventions must move beyond simple translation and adopt a formal theoretical framework for cultural adaptation. A pivotal model in this context is Leininger’s Culture Care Diversity and Universality theory,18 which emphasizes that health and illness behaviors are deeply embedded in the social structure, language, and spiritual beliefs of a community. According to this framework, for nursing and health interventions to be therapeutic and meaningful, they must be culturally congruent. A previous systematic review of culturally tailored interventions for South Asians with type 2 diabetes, guided by Leininger’s Sunrise Model, revealed a significant gap in current research.19 While linguistic and educational adaptations were common, most studies failed to address broader sociocultural determinants—including religious, political, economic, and kinship factors. These omissions underscore the critical need for integrating “culturally congruent care” as a foundational element when designing future diabetes self-management education (DSME) programs.19

Several systematic reviews and a Cochrane Review have summarised the evidence on culturally appropriate diabetes education. Hawthorne et al9 and updates by Attridge et al and Creamer et al showed that “culturally appropriate” education was more effective than standard education in improving glycemic control and diabetes knowledge among ethnic minority groups. However, most of the measured effects remained limited to the short- to medium-term, and the available studies were highly heterogeneous.20 Limitations highlighted include a lack of standardization of intervention components, limited data on cost-effectiveness, insufficient long-term data, and unclear specific mechanisms by which cultural adaptation improves self-management.20 On the other hand, the primary literature continues to grow with the emergence of new RCTs that integrate cultural adaptation into various educational models.7,21,22

To date, there has been no recent synthesis that explicitly focuses on RCTs of culturally tailored educational interventions aimed at improving diabetes self-management and systematically describes the characteristics of cultural adaptation and educational components associated with improved clinical and patient-reported outcomes. Based on these gaps, this systematic review aims to (1) identify and summarise all randomised clinical trials of culturally tailored educational interventions to improve diabetes self-management, (2) evaluate the effects of these interventions on glycemic and other patient outcomes, and (3) characterise the culturally tailored strategies and educational components used in these interventions. Thus, this review is expected to provide a stronger empirical basis for designing and implementing more effective DSMES programs for populations with diverse cultural backgrounds.

Materials and Methods

Study Design

This study utilized a systematic review approach, adhering to the Cochrane Handbook for Systematic Reviews of Interventions and to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines.

Eligibility Criteria

Three independent reviewers systematically selected relevant articles following the PRISMA guidelines (see Figure 1). The development of research questions and eligibility criteria was based on the PICOT framework. The Population (P) of interest consisted of adults with type 2 diabetes. The Intervention (I) studied was a culturally based diabetes self-management education intervention, encompassing various culturally relevant educational methods. The Comparator (C) was standard care (usual care). The Outcome (O) focused on self-management and secondary outcomes, including glycemic control, quality of life, diabetes knowledge, depression, anxiety, and self-efficacy. The Study Type (T) included randomized controlled trials (RCTs) (including pilot and feasibility RCTs).

A PRISMA flowchart for study identification, screening and inclusion process.

Figure 1 PRISMA Flow Diagram adapted from Page MJ, McKenzie JE, Bossuyt PM, et al. The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. BMJ. 2021;372:n71. Creative Commons.23

Studies were eligible if they were full-text articles published in English and employed an experimental design to evaluate the effectiveness of culturally tailored education interventions for type 2 diabetes management. Publications were excluded if they lacked full text, were in a language other than English, or were secondary research. There were no publication year restrictions to ensure a comprehensive exploration of relevant studies. Quasi-experimental studies without randomization, observational studies, qualitative studies, reviews, and protocols were excluded.

Search Strategy

Identification of articles was conducted systematically across four major databases: EBSCOhost, PubMed, Scopus, and Taylor & Francis. The final search was conducted on 19 August 2025 with no restriction on publication year. The search included keywords such as:

((((diabetes mellitus[MeSH Terms]) OR (type 2 diabetes mellitus[MeSH Terms]))) OR (T2DM)) AND (((Cultural intervention) OR (culturally based education)) OR (culturally adapted education)) AND ((self management[MeSH Terms]) OR (self care[MeSH Terms])).

Boolean operators “AND” and “OR” were used to refine or broaden search results, capturing relevant literature from across various databases. In addition to database searching, a manual search was conducted. Hand searching involved reviewing the reference lists of relevant articles, journals, or conference proceedings to identify additional studies that may not have been retrieved through electronic databases. This approach ensured a more comprehensive identification of eligible studies for inclusion in the review.

Study Selection and Quality Appraisal

The authors (LW and HH) independently screened studies according to the predefined eligibility criteria. In the initial selection phase, duplicates were identified and removed using Mendeley Reference Manager. Then, the titles, abstracts, and full texts of articles were assessed for relevance to the research topic, applying the inclusion and exclusion criteria. In the final phase, all authors conducted a detailed review of each selected article using the Joanna Briggs Institute (JBI) critical appraisal checklist to assess the quality of the studies.24 This tool was chosen due to its global recognition as a standardized framework for evaluating RCTs, ensuring consistency and enhancing transparency in the appraisal process. Discrepancies in assessment results were discussed among the authors. However, no disagreements arose regarding the suitability of the selected studies for inclusion.

Data Extraction and Analysis

Data from the selected studies were extracted and analyzed using thematic analysis within an exploratory, descriptive framework. Data extraction was performed by two reviewers (LW, HHM, TP), and the resulting data were reviewed by a third reviewer (YS). The extraction table included important study characteristics, intervention details, and outcomes, which were then analyzed thematically to identify common patterns across the studies. Each finding was carefully examined, described, and analyzed according to the extracted data. To ensure accuracy and minimize errors, the authors conducted a final review of all included studies. During data synthesis, we inductively grouped interventions into two categories based on primary delivery mode: (1) traditional, face-to-face, culturally tailored and (2) technology-enhanced, culturally tailored DSMES (eg, telemonitoring, mHealth, digital platforms).

Results

Study Selection

The initial search across four databases identified 1,667 records: EBSCOhost (n = 48), PubMed (n = 1003), Scopus (n = 8), and Taylor & Francis (n = 608). After removing 190 duplicate records, 1477 articles proceeded to the screening phase. Based on title and abstract screening, 1451 records were excluded for not meeting eligibility criteria. As a result, 26 articles were selected for full-text retrieval; however, eight articles were not successfully retrieved.

A total of 18 full-text articles were assessed for eligibility. Following critical appraisal, four articles were excluded because their study designs did not meet the predetermined inclusion criteria. Ultimately, 14 studies were deemed eligible and included in the final systematic review (see Figure 1).

Quality Appraisal Results

All the studies in Table 1 achieved relatively high JBI scores, most ranging from 11/13 to 13/13, reflecting strong methodologies and research design. While most studies used RCTs, which are effective at reducing bias by blinding participants (and sometimes investigators) to group assignments, the details about whether outcome assessors were blinded are not always precise. Intervention strategies varied, from general lifestyle education to more specialized treatments. However, the consistency of these interventions and the potential for provider bias—especially if the providers were not blinded remain important factors to consider. Overall, despite differences in study design, blinding, and intervention delivery, the studies maintain a high level of methodological quality.

Table 1 Characteristics of Studies and Participants

Characteristics of Studies and Participants

Table 1 presents an overview of various studies (n=14) focused on type 2 diabetes mellitus (T2DM) conducted in different locations and populations. These studies utilized a range of designs, including RCTs, feasibility studies of RCTs, and pilot RCTs, with sample sizes varying from small groups of about 24 participants to larger studies involving over 400 individuals. The mean ages of participants ranged from 41 years in a study conducted in Pakistan or Norway by Telle-Hjellset et al,29 to 67.58 years in the study by Liang et al21 in China.

The gender distribution in these studies varied significantly, with some studies focusing on predominantly female populations, such as Mikhael et al25 in Iraq, where only 25% of participants were male, and others, Osborn et al31 in the USA, involving a higher proportion of females (79%). The studies also covered diverse ethnic and cultural groups, including Latino adults in the USA, Arab adults in Qatar, and Pakistani immigrants in Norway, reflecting the international scope of diabetes research.

Characteristics of Intervention

Across the included randomized controlled trials, culturally tailored DSMES interventions showed considerable variation in content, delivery mode, and intensity (see Table 2). To better understand how these programs achieved their effects, we synthesized the core characteristics of the interventions, with particular attention to how cultural elements were embedded into education and support strategies. For clarity, the interventions were grouped into two broad categories based on their primary delivery approach: culturally based programs using traditional methods and technology-based programs.

Table 2 Characteristics of Intervention

Category 1: Culture-Based Using Traditional Methods

Culturally based diabetes education interventions are emerging as an important strategy to improve self-management in patients with type 2 diabetes, particularly in minority communities with language barriers, differing health beliefs, and unique dietary habits. All studies in this category emphasize cultural adaptation through local language, traditional foods, community values, and educational practices aligned with community norms. This approach aims to enhance knowledge, motivation, and self-care skills, thereby improving glycemic control and quality of life.

Culture-based diabetes education interventions delivered through traditional, face-to-face approaches consistently integrate language, food practices, social values, and health beliefs to strengthen diabetes self-management. In Iran, the Culturally Self-Care Intervention consisted of six 30–40-minute sessions (twice per week) focusing on disease knowledge, self-monitoring, stress management skills, and demonstrations of a healthy diet using traditional Iranian foods, all delivered in Persian to align with local health beliefs.13 The Partners in Care program used a 12-week peer-led structure for Native Hawaiians and Pacific Islanders, integrating community-based educators, storytelling, and cultural analogies to address glucose balance, nutrition, physical activity, and psychosocial wellness.17 Meanwhile, among low-income Latinos in the US, LUNA-D provided 6-month integrated medical and behavioural same-day visits with classes emphasizing traditional Latino dietary preferences, physical activity, and coping strategies to reduce diabetes distress.14

In Qatar, the Culturally Sensitive Diabetes Education Program included four 3–4-hour group sessions using Arabic-language booklets, culturally familiar food examples, and empowerment-based counselling to develop goal-setting and responsibility in disease care.16 HEAL-D program delivered seven group-based sessions (14 hours total) using games, culturally relevant visual materials, African-Caribbean meal adaptations, and supervised activity sessions with emphasis on peer learning.33 The Latinos en Control intervention applied a literacy-sensitive curriculum via 12 weekly + 8 monthly sessions, utilizing food bingo, cooking lessons, and a culturally relevant soap-opera storyline to build practical skills and sustain behavioural change.28

The InnvaDiab-DE-PLAN trial in Norway targeted Pakistani immigrant women. It delivered six sessions of culturally adapted lifestyle education using South Asian foods and language, while addressing barriers such as low literacy and gender-specific social norms by creating safe, women-only learning spaces.29 The Project Dulce peer-education model for Mexican Americans used promotoras, trusted community health workers, to lead structured group diabetes self-management sessions, reinforcing family involvement and shared cultural identity.30 Finally, among Puerto Rican adults, a brief IMB-theory-guided intervention provided tailored coaching on food label reading, low-cost healthy foods, and modifying physical activity to match neighbourhood conditions, targeting information, motivation, and behavioural skills simultaneously.31

Across all nine studies, interventions were intentionally adapted to cultural context by utilizing native languages, traditional dietary practices, community-trusted facilitators, and culturally congruent education formats. These strategies consistently improved self-efficacy, dietary behaviour, self-monitoring, diabetes knowledge, and clinical outcomes, particularly reductions in HbA1c and, in some cases, blood pressure, BMI, and lipid profiles. Collectively, this evidence demonstrates that holistic cultural tailoring enhances intervention acceptability, relevance, and ultimately, diabetes self-management effectiveness in diverse minority communities.

Category 2: Culture-Based Using Technological Methods

This category includes five studies that implemented culturally adapted interventions incorporating technological methods to improve diabetes self-management among ethnic minority populations with type 2 diabetes. Technology enhancements varied across interventions, including digital software, telemonitoring systems, mobile health platforms, remote telephone counselling, and online multimedia education. Despite different delivery modes, all studies emphasized cultural tailoring based on language, traditional dietary practices, and community health beliefs, promoting both acceptability and sustained engagement in self-management behaviours.

Abu-Saad et al integrated the I-ACE clinical software into dietitian-led counselling, enabling personalized dietary assessment, interactive graphics, and real-time goal setting that aligned with Arabic language and cultural food norms.27 Kim et al utilized teletransmission and bilingual nurse counselling within a community setting, addressing social isolation while incorporating traditional Korean perspectives on food and herbal medicine.32 Mikhael et al implemented culturally adapted DSME(S) supported with phone follow-ups and locally relevant educational materials, demonstrating high cost-effectiveness in improving metabolic outcomes among Iraqi patients.25

Additionally, two studies focusing on Chinese populations implemented digitally based DSMES delivery. Liang et al blended face-to-face group education with telephonic maintenance sessions grounded in behavioural theory, integrating traditional dietary practices and the supportive role of families in diabetes control.21 Meanwhile, Liu et al leveraged the WeChat platform to deliver Mandarin video modules and bi-weekly community health worker support, successfully reducing diabetes distress and enhancing self-efficacy among Chinese Americans.7

Across all studies, significant improvements were reported in self-efficacy, diabetes knowledge, dietary adherence, and glycemic control, with additional psychosocial benefits, including reduced depression and diabetes-related distress. These findings highlight that culturally aligned technology-based interventions can effectively reduce healthcare disparities, improve patient empowerment, and enhance long-term diabetes self-management among underserved ethnic minority groups.

Discussion

This systematic review aimed to evaluate the effectiveness of culturally tailored diabetes self-management education interventions (DSMES) on clinical and behavioural outcomes in patients with T2DM. Most included trials were conducted in middle- or high-income settings and among specific ethnic minority groups (eg, Latinos in the USA, Arab adults in Qatar, Pakistani immigrants in Norway). Evidence from low-income countries and Southeast Asian or sub-Saharan African populations remains scarce, limiting the generalizability of our findings to these regions. Of the 14 RCTs, this review divided interventions into two broad categories: (1) culturally based using traditional methods and (2) culturally based using technological methods. Primary outcomes assessed included glycemic control (HbA1c), self-management behaviours (diet, activity, medication adherence), and psychosocial outcomes (self-efficacy, diabetes distress, and quality of life). These findings align with a meta-analysis in Latino populations that reported a −0.24% reduction in HbA1c through culturally tailored DSMES.34

Cultural tailoring may enhance patients' skills in diabetes management by increasing the relevance, motivation, and sustainability of health behaviours within social contexts and values that are meaningful to the individual. Education tailored to local language, food, and customs makes health messages easier to understand and apply in everyday life.33 A culture-based approach also strengthens intrinsic motivation by involving families and communities, which has been shown to improve adherence and glycemic control significantly.14,21,27 In addition, cultural similarities between patients and educators increase trust and comfort in interactions, thereby strengthening self-efficacy and openness to education.35 Therefore, culturally tailored self-management educational interventions serve not only as a means of conveying health information, but also as a social and psychological mechanism that changes patients’ perceptions of their illness.

The findings of this review suggest that culturally tailored interventions significantly enhance psychosocial determinants of health, which are pivotal for long-term glycemic control. This is consistent with Paulsamy et al,36 who demonstrated that social support and self-efficacy are robust predictors of self-care behavior in patients with type 2 diabetes, particularly during challenging periods such as the COVID-19 pandemic. By aligning educational content with the patient’s cultural and linguistic background, these interventions do more than just transfer knowledge; they foster a supportive environment that bolsters the patient’s confidence in managing their condition. Furthermore, the success of long-term diabetes management also depends heavily on treatment satisfaction as a patient-centered outcome. Alqifari et al (2026) showed that treatment satisfaction is closely related to the patient’s understanding of their illness and the flexibility of the therapy provided.37 By integrating patients’ cultural and linguistic values into the education program, this intervention not only facilitates the achievement of HbA1c targets, but also has the potential to increase patient satisfaction with the healthcare services received, which will ultimately support patient adherence and sustainability of self-care.

In the traditional intervention category, cultural adaptations were implemented through local language, traditional foods, family values, and community approaches. The intervention in Iran emphasized education using Persian and demonstrations of traditional Iranian diets, which improved health literacy and reduced HbA1c.13 Programs like LUNA-D for Latino communities emphasize integrating medical and behavioural services with adjustments to food and family traditions.14 In the UK, HEAL-D combines educational games and Afro-Caribbean food adaptations, which improve dietary knowledge and physical adherence.33 All these interventions confirm that cultural adaptation strengthens educational effectiveness by increasing participants’ emotional and social engagement.

Comparisons between traditional interventions show variation in outcomes and sustainability of effects. Peer-led programs like Project Dulce in Mexican-American settings and Partners in Care in Hawaii achieve more sustainable outcomes because they are grounded in social support and trust among participants.17,30 In contrast, programs conducted in Qatar16 and Pakistan29 and delivered mainly by professional educators demonstrated substantial reductions in clinical indicators (eg, HbA1c and triglycerides); however, psychosocial improvements were more limited, potentially due to the absence of peer support. Interventions that engage food culture and community narratives tend to be more acceptable and effective in the long term than formal instructional models that are less flexible in local contexts.

In the second category, technology-based interventions adapt cultural elements through digital media, telemonitoring and online applications.7,21,25,27,32 Programs such as CARE via WeChat for Chinese-American patients using Mandarin-language videos and online community support sessions resulted in significant increases in self-efficacy and decreases in diabetes distress.7 The SHIP-DM intervention for the Korean-American community utilized teletransmission of glucose data and bilingual counselling that improved glycemic control and decreased depression.32 Meanwhile, the I-ACE program in Israel uses Arabic-based diet software to customize diets and increase fibre intake and lower HbA1c.27

Comparisons between technology interventions show that interactive platforms with visual components and two-way communication (such as I-ACE and SHIP-DM) provide better clinical outcomes than passive video-based approaches.27,32 Liang et al’s program in China, which combined face-to-face meetings and telephone consultations, yielded the most comprehensive results, namely significant improvements in self-efficacy and glycemic control, and decreased distress.21 This suggests that a combination of traditional and digital methods provides a balance between depth of social relationships and ease of ongoing access. Purely digital interventions are effective in increasing efficiency, but they fall short in creating strong emotional connections between educators and participants.

Comparatively, face-to-face interventions excel at increasing emotional engagement and cultural trust, while digital interventions excel at reach and sustainability.16,28,30,31 Peer-based approaches in communities produce more stable behavioural changes, while technological approaches excel in cost efficiency and long-term monitoring.25,35,38 However, the effectiveness of both is highly dependent on the participants’ level of health and digital literacy.35,38 The combination of face-to-face and digital models has been shown to address most of these weaknesses by maintaining social closeness while improving continuity of care.7,21

Overall, this review indicates that cultural tailoring, which integrates local values, language, and practices into the DSMES, consistently improves clinical and psychosocial outcomes for patients with T2DM. This integration provides a sustainable model that can be adapted across cultures and global health system contexts. Thus, the combination of in-depth cultural adaptation and technological innovation is key to reducing disparities in diabetes care across diverse populations worldwide.

Strengths and Limitations

This systematic review has several strengths. First, it is among the few comprehensive reviews that focus exclusively on randomized controlled trials (RCTs) evaluating culturally tailored diabetes self-management education and support (DSMES) interventions across diverse global populations. The review followed PRISMA 2020 guidelines and employed the Joanna Briggs Institute (JBI) critical appraisal tool to ensure methodological rigour, enhancing the validity of its findings. In addition, the included studies span multiple cultural and geographical contexts, enabling meaningful cross-cultural comparisons and synthesis of practical intervention components.

However, several limitations must be acknowledged. The heterogeneity of intervention duration, delivery format, and outcome measures limited the ability to perform a meta-analysis and may have contributed to variability in the reported effects. Moreover, most included studies had relatively short follow-up periods, making it difficult to evaluate the long-term sustainability of behavioural and clinical improvements. The majority of trials were conducted in middle- to high-income countries, with limited representation from low-resource settings where cultural barriers and healthcare infrastructures may differ substantially. In addition, the review included only studies published in English, which may have introduced language bias and potentially excluded relevant evidence from non-English publications. Several included trials also had relatively small sample sizes (eg, Liang et al, n = 24;21 Sinclair et al, 2020,17 n = 48), which may limit the generalizability and statistical power of the findings. Finally, publication bias may exist, as studies with non-significant or negative results are less likely to be published.

Conclusion

This systematic review of 14 randomized controlled trials suggests that culturally tailored DSMES interventions may improve diabetes self-management and selected clinical outcomes across diverse populations. Both traditional and technology-assisted culturally adapted approaches were generally associated with improvements in behavioural outcomes, diabetes knowledge, self-efficacy, and glycemic control (HbA1c) in several studies. These findings highlight the potential value of incorporating culturally responsive DSMES programs into diabetes care. Further large-scale and longitudinal studies are needed to evaluate long-term effectiveness and to support the development of standardized frameworks for cultural adaptation in diabetes education.

Acknowledgment

The authors express their deepest gratitude to Universitas Padjadjaran for providing database access, institutional support, and funding for this article. The completion of this research would not have been possible without the university’s academic guidance, resources, and facilities.

Disclosure

The authors declare no conflict of interest related to this study.

References

1. Ong KL, Stafford LK, McLaughlin SA, et al Global, regional, and national burden of diabetes from 1990 to 2021, with projections of prevalence to 2050: a systematic analysis for the global burden of disease study 2021. Lancet. 2023;402(10397):203–14.

2. World Health Organization. Diabetes. 2024.

3. Sun H, Saeedi P, Karuranga S, et al IDF diabetes atlas: global, regional and country-level diabetes prevalenceestimates for 2021 and projections for 2045. Diabet Res Clin Pract. 2022;183:109119. doi:10.1016/j.diabres.2021.109119

4. Funnell MM, Brown TL, Childs BP, et al National standards for diabetes self-management education. Diabetes Care. 2010;33 Suppl 1(Suppl 1):S89–96. doi:10.2337/dc10-S089

5. Joni B, Greenwood Deborah A, Lori B, et al 2017 national standards for diabetes self-management education and support. Sci Diabetes Self-Management Care. 2021;47(1):14–29. doi:10.1177/0145721720987926

6. Adamu NL, Merzah M, Iminza D, Tano KF, Abaate TJ, Thapa P. Effectiveness of diabetes self-management education and support on glycemic control and diabetes-related outcomes in africa: a systematic review and meta-analysis. AJPM Focus. 2025;100416. doi:10.1016/j.focus.2025.100416

7. Liu J, Cao J, Shi Y, et al A culturally and linguistically tailored intervention to improve diabetes-related outcomes in Chinese Americans with type 2 diabetes: pilot randomized controlled trial corresponding author. JMIR mHealth uHealth. 2025;13:1–14. doi:10.2196/78036

8. Attridge M, Creamer J, Ramsden M, Cannings-John R, Hawthorne K. Culturally appropriate health education for people in ethnic minority groups withtype 2 diabetes mellitus. Cochrane Database Syst Rev. 2014;2014(9):CD006424. doi:10.1002/14651858.CD006424.pub3

9. Hawthorne K, Robles Y, Cannings-John R, Edwards AGK. Culturally appropriate health education for Type 2 diabetes in ethnic minority groups: a systematic and narrative review of randomized controlled trials. Diabet Med. 2010;27(6):613–623. doi:10.1111/j.1464-5491.2010.02954.x

10. Abu S, Llahana S. Factors influencing the uptake of culturally tailored diabetes self-management education and support programmes among ethnic minority patients with type 2 diabetes: a systematic review. Prim Care Diabetes. 2025;19(2):103–110. doi:10.1016/j.pcd.2025.01.010

11. Alum E. Optimizing patient education for sustainable self-management in type 2 diabetes. Discov Public Heal. 2025;22(1). doi:10.1186/s12982-025-00445-5

12. Brown F, Thrall C, Postma J, Uriri-Glover J. A culturally tailored diabetes education program in an underserved community clinic. J Nurse Pract. 2021;17(7):879–882. doi:10.1016/j.nurpra.2021.02.022

13. Amoozadeh B, Parandeh A, Khamseh F, Giharrizi MASB. The effect of culturally appropriate self ‑ care intervention on health literacy, health ‑ related quality of life and glycemic control in iranian patients with type 2 diabetes: a controlled randomized clinical trial. Iran J Nurs Midwifery Res. 2023;28(3):293–299. doi:10.4103/ijnmr.ijnmr_391_20

14. Talavera GA, Castañeda SF, Mendoza PM, et al Latinos understanding the need for adherence in diabetes (LUNA-D): a randomized controlled trial of an integrated team-based care intervention among Latinos with diabetes. Transl Behav Med. 2021;11(9):1665–1675. doi:10.1093/tbm/ibab052

15. Hjelm K, Hadziabdic E. Effects of culturally-appropriate group education for migrants with type 2 diabetes in primary healthcare: pre-test-post-test design. BMC Prim Care. 2025;26(1). doi:10.1186/s12875-024-02689-7

16. Mohamed H, Al-Lenjawi B, Amuna P, Zotor F, Elmahdi H. Culturally sensitive patient-centred educational programme for self-management of type 2 diabetes: a randomized controlled trial. Prim Care Diabetes. 2013;7(3):199–206. doi:10.1016/j.pcd.2013.05.002

17. Sinclair K, Zamora-Kapoor A, Townsend-Ing C, McElfish P, Kaholokula J. Implementation outcomes of a culturally adapted diabetes self-management education intervention for Native Hawaiians and Pacific islanders. BMC Public Health. 2020;20(1). doi:10.1186/s12889-020-09690-6

18. Leininger M. Culture care theory: a major contribution to advance transcultural nursingknowledge and practices. J Transcult Nurs. 2002;13(3):181–189. doi:10.1177/10459602013003005

19. Navodia N, Wahoush O, Tang T, Yost J, Ibrahim S, Sherifali D. Culturally tailored self-management interventions for South Asians with type 2 diabetes: a systematic review. Can J Diabetes. 2019;43(6):445–452. doi:10.1016/j.jcjd.2019.04.010

20. Creamer J, Attridge M, Ramsden M, Cannings-John R, Hawthorne K. Culturally appropriate health education for Type 2 diabetes in ethnic minoritygroups: an updated Cochrane review of randomized controlled trials. Diabet Med. 2016;33(2):169–183. doi:10.1111/dme.12865

21. Liang W, Ming K, Ni X, et al Development, feasibility, and preliminary effects of a culturally adapted, evidence-based, and theory-driven diabetes self-management programme for Chinese adults with type 2 diabetes receiving insulin injection therapy. Prim Care Diabetes. 2024;18(6):649–659. doi:10.1016/j.pcd.2024.09.010

22. Prasad S, Sharma MK. Effectiveness of culturally tailored interventions for diabetes management. Int J Nurs Heal Res. 2025;7(2):7–12.

23. Page MJ, McKenzie JE, Bossuyt PM, et al The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. BMJ. 2021;372:1–11.

24. Joanna Briggs Institute (JBI). JBI’s critical appraisal tools. Joanna Briggs Institute; 2022. Available from: https://jbi.global/critical-appraisal-tools. Accessed January 1, 2023.

25. Mikhael EM, Ong SC, Hussain SA. Cost‑effectiveness analysis of the culturally developed diabetes self‑management education and support program among Type 2 diabetes mellitus patients in Iraq. J Pharm Bioallied Sci. 2023;15(1):49–56. doi:10.4103/jpbs.jpbs_767_21

26. Goff LM, Rivas C, Moore A, Beckley N, Reid F, Harding S. Healthy eating and active lifestyles for diabetes (HEAL- -D), a culturally tailored management education and support program for type 2 diabetes in black- - British adults: a randomized controlled feasibility trial. BMJ Open Diab Res Care. 2021;9(1):1–10.

27. Abu-saad K, Murad H, Barid R, Olmer L, Ziv A. Development and efficacy of an electronic, culturally adapted lifestyle counseling tool for improving diabetes-related dietary knowledge: randomized controlled trial among ethnic minority adults with Type 2 diabetes mellitus corresponding author. J Med Internet Res. 2019;21(10):e13674. doi:10.2196/13674

28. Rosal MC, Ockene IS, Restrepo A, et al Randomized trial of a literacy-sensitive, culturally tailored diabetes self-management intervention for low-income Latinos. Diabetes Care. 2011;34(April):838–844. doi:10.2337/dc10-1981

29. Telle-hjellset V, Kjollesdal MKR, Bjørge B, et al The InnvaDiab-DE-PLAN study: a randomised controlled trial with a culturally adapted education programme improved the risk profile for type 2 diabetes in Pakistani immigrant women. Br J Nutr. 2013;109(3):529–538. doi:10.1017/S000711451200133X

30. Philis-Tsimikas A, Fortmann A, Ocana LL, Walker C, Gallo LC. Peer-led diabetes education programs in high-risk Mexican Americans with standard approaches. Diabetes Care. 2011;34(9):1926–1931. doi:10.2337/dc10-2081

31. Osborn CY, Amico KR, Cruz N, et al A brief culturally tailored intervention for Puerto Ricans with Type 2 diabetes. Heal Educ Behav. 2010;37(6):849–862. doi:10.1177/1090198110366004

32. Kim MT, Han H-R, Song H-J. A community-based, culturally tailored behavioral intervention for Korean Americans with type 2 diabetes. Diabetes Educ. 2009;35(6):986–994. doi:10.1177/0145721709345774

33. Goff L, Rivas C, Moore A, Beckley-Hoelscher N, Reid F, Harding S. Healthy eating and active lifestyles for diabetes (HEAL-D), a culturally tailored self-management education and support program for type 2 diabetes in black-British adults: a randomized controlled feasibility trial. BMJ Open Diabetes Res Care. 2021;9(1):e002438. doi:10.1136/bmjdrc-2021-002438

34. Hildebrand J, Billimek J, Lee JA, et al Effect of diabetes self-management education on glycemic control in Latino adults with type 2 diabetes: a systematic review and meta-analysis. Patient Educ Couns. 2020;103(2):266–275. doi:10.1016/j.pec.2019.09.009

35. Shiyanbola OO, Maurer M, Schwerer L, et al A culturally tailored diabetes self-management intervention incorporating race-congruent peer support to address beliefs, medication adherence and diabetes control in African Americans: a pilot feasibility study. Patient Preference Adherence. 2022;16(October):2893–2912. doi:10.2147/PPA.S384974

36. Paulsamy P, Ashraf R, Alshahrani SH, et al Social support, self-care behaviour and self-efficacy in patients with type 2 diabetes during the COVID-19 pandemic: a cross-sectional study. Healthc. 2021;9(11):1–10. doi:10.3390/healthcare9111607

37. Alqifari SF, Amirthalingam P, Prabahar K, et al Factors associated with patient treatment satisfaction in diabetes mellitus care using the DTSQs: a nationwide cross-sectional study in Saudi Arabia. Patient Prefer Adherence. 2025;20:1–12. doi:10.2147/PPA.S566025

38. Wen MJ, Maurer M, Pickard A, Hansen M, Shiyanbola O. A pilot mixed methods randomized control trial investigating the feasibility and acceptability of a culturally tailored intervention focused on beliefs, mistrust and race-congruent peer support for Black adults with diabetes. Front Public Health. 2025;13:1474027.

Creative Commons License © 2026 The Author(s). This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms and incorporate the Creative Commons Attribution - Non Commercial (unported, 4.0) License. By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms.