Maintenance Notice

Due to necessary scheduled maintenance, the JMIR Publications website will be unavailable from Wednesday, July 01, 2020 at 8:00 PM to 10:00 PM EST. We apologize in advance for any inconvenience this may cause you.

Who will be affected?

Advertisement

Citing this Article

Right click to copy or hit: ctrl+c (cmd+c on mac)

Published on 20.04.20 in Vol 8, No 4 (2020): April

Preprints (earlier versions) of this paper are available at http://preprints.jmir.org/preprint/15789, first published Aug 07, 2019.

This paper is in the following e-collection/theme issue:

    Original Paper

    British South Asian Patients’ Perspectives on the Relevance and Acceptability of Mobile Health Text Messaging to Support Medication Adherence for Type 2 Diabetes: Qualitative Study

    1Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom

    2Balearic Islands Health Services, Primary Care Research Unit of Mallorca, Palma de Mallorca, Illes Balears, Spain

    3Health Research Institute of the Balearic Islands (IdISBa), Palma de Mallorca, Illes Balears, Spain

    4Ciber de Epidemiologia y Salud Pública (CIBERESP), Madrid, Spain

    Corresponding Author:

    Suman Prinjha, BSc, MSc, PhD

    Nuffield Department of Primary Care Health Sciences

    University of Oxford

    Radcliffe Observatory Quarter

    Woodstock Road

    Oxford,

    United Kingdom

    Phone: 44 (0)7774 629231

    Email: suman.prinjha@phc.ox.ac.uk


    ABSTRACT

    Background: The prevalence of type 2 diabetes (T2D) is greater in South Asian populations and health outcomes are poorer compared with other ethnic groups. British South Asians are up to six times more likely to have T2D than the general population, to develop the condition at a younger age, and to experience diabetes-related complications. Interventions to support people in managing their condition can potentially reduce debilitating complications. Evidence to support the use of digital devices in T2D management, including mobile phones, has shown positive impacts on glycemic control. There is increasing recognition that health interventions that are culturally adapted to the needs of specific groups are more likely to be relevant and acceptable, but evidence to support the effectiveness of adapted interventions is limited and inconclusive.

    Objective: This formative study aimed to explore the perceptions and views of British South Asian patients with T2D on mobile health SMS text messaging to support medication adherence, aimed at the general UK population.

    Methods: Eight exploratory focus groups were conducted in Leicester, the United Kingdom, between September 2017 and March 2018. A diverse sample of 67 adults took part.

    Results: British South Asian people with T2D who use digital devices, including mobile phones, felt that short messages to support medication adherence would be acceptable and relevant, but they also wanted messages that would support other aspects of self-management too. Participants were particularly interested in content that met their information needs, including information about South Asian foods, commonly used herbs and spices, natural and herbal approaches used in the United Kingdom and in South Asia, and religious fasting. Short messages delivered in English were perceived to be acceptable, often because family members could translate for those unable to read or understand the messages. Suggestions to support patients unable to understand short messages in English included having them available in different formats, and disseminated in face-to-face groups for those who did not use digital devices.

    Conclusions: Exploring the views of British South Asian patients about SMS text messaging aimed at the general UK population is important in maximizing the potential of such an intervention. For such a digital system to meet the needs of UK South Asian populations, it may also have to include culturally relevant messages sent to those who opt to receive them. It is equally important to consider how to disseminate message content to patients who do not use digital devices to help reduce health inequalities.

    JMIR Mhealth Uhealth 2020;8(4):e15789

    doi:10.2196/15789

    KEYWORDS



    Introduction

    Digital Health Interventions to Support Patients With Type 2 Diabetes

    The prevalence of type 2 diabetes (T2D) is increasing globally, representing a serious clinical and financial challenge [1]. Diabetes prevalence is greater in South Asian populations and health outcomes are poorer [2]. South Asians account for approximately one-fifth of the global population. T2D occurs at 50% higher rates in South Asian patients compared with the general population [3], developing 5 to 10 years earlier, and is one of the main causes of premature death in this population [4]. South Asians constitute the largest minority ethnic group in the United Kingdom, around 7% of the total British population [5]. UK South Asians are up to six times more likely to have T2D than the general population, to develop the condition at a younger age, and to experience diabetes-related complications [6].

    Effective diabetes self-management (DSM)—healthy diet, physical activity, and medication adherence—is associated with improved glycemic control [7], leading to a reduction in complications and mortality [8]. Interventions to support people in effectively self-managing their condition can potentially reduce costly, debilitating complications [9,10]. Interventions to support medication adherence can lead to improved health outcomes [11]. Digital health technologies have the potential to deliver low-cost interventions aimed at supporting healthier lifestyles [12] and disease self-management [13,14]. The number of mobile phone users surpassed 2 billion in 2016 and is expected to increase to 2.86 billion by 2020 [15]. In the United Kingdom, 73% of adults accessed the internet through a smartphone or mobile device in 2017 [16]. The growing evidence supporting the use of mobile phone–based technologies in T2D management, including SMS text messages, has shown positive impacts on glycemic control [17] and health care costs [18].

    Cultural Adaptation of Health Interventions

    Research into the cultural adaptation of health promotion interventions, including SMS text messaging interventions, is growing steadily, with an increasing recognition that lifestyle and behavior change interventions that are culturally adapted to the needs of specific groups are more likely to be effective [19-21]. Cultural adaptation involves grounding interventions in the lived experience of end users, taking account of language, cultural patterns, and values [22,23]. Mobile health (mHealth) interventions have been culturally adapted and piloted or trialed in several countries, including in New Zealand to support healthy lifestyles in Māori and Pasifika communities [24,25]; maternal health in Māori, Pacific, Asian, and South Asian families [26]; and smoking cessation [27]. Interventions aimed at the general population tend to be less effective for Māori and Pasifika communities [28], possibly contributing to increased health inequalities [29]. These interventions have often been designed with little input from these communities, have lacked tailoring to cultural needs, and have had poor uptake [24].

    The few culturally adapted complex interventions for UK South Asian populations with T2D have been lifestyle modification interventions (diet-, weight-, and physical activity–related) rather than digital health interventions [30,31]. However, evidence to support the effectiveness of these interventions is inconclusive in demonstrating sufficient health-related gain to make such interventions cost effective [32,33]. Head-to-head comparisons of adapted and nonadapted interventions are rare [34], though the use of adaptations has been documented to increase process outcomes such as acceptability, uptake, satisfaction, and retention [35].

    Previous research into DSM in British South Asian populations has explored perceptions and experiences of taking prescribed diabetes medications and traditional medicines [36,37], and barriers and facilitators to diet management [38,39] and physical activity [40]. Patients’ perceptions of oral diabetes medications are complex and ambivalent, with good patient-provider communication and an understanding of the cultural factors that inform beliefs and practices reported as key to improving medication adherence [41]. Diet-management has been highlighted to be the most difficult aspect of living with diabetes, with recommendations including designing interventions that involve family members as well as patients [42].

    At present, there is no published research into digital health interventions for UK South Asian patients with T2D, or the cultural adaptation of digital health interventions aimed at the general population. The EuroDHYAN study currently underway in the United Kingdom includes a pilot study of SMS text messages for T2D prevention in women of Pakistani origin in Scotland [43]. We know little about how best to adapt interventions to meet the needs of South Asian migrant populations with T2D [44]. This formative research aimed to explore the perceptions and views of British South Asian patients with T2D on mHealth SMS text messaging to support medication adherence.

    Study Design

    Recent research into digital health intervention development highlights the importance of an iterative, multidisciplinary approach in which the end user is placed at the heart of the system and the technology is grounded in user wants and needs [45-47]. This is increasingly seen as crucial to person-centered or person-based intervention development [48-50]. Research examining SMS text messaging interventions, in particular, has highlighted the use of multiple methodologies in intervention development, including qualitative research in the planning stage to gather information from relevant stakeholders and to inform decisions about message frequency, timing, and level of tailoring [51].

    Exploratory focus groups were conducted with a range of South Asian communities in Leicester, one of the most ethnically diverse cities in England [52]. The focus group study was part of a larger project, the SuMMiT-D (Support Through Mobile Messaging and Digital Health Technology for Diabetes) study, which aimed to explore supporting people with T2D in effective use of their medicine through a system comprising digital health technology integrated with clinical care, including use of SMS text messages [53]. Messages were developed using a taxonomy of behavior change techniques to identify ways of structuring a wide range of messages derived from patients, health care professionals, and health promotion literature [54]. An extensive library of messages was developed by a meeting of psychologists and health care professionals, checked for fidelity to behavior change techniques and checked for acceptability to patients [55]. The focus group study was a collaboration between the University of Oxford and the Centre for Black and Minority Ethnic Health (CBMEH), University of Leicester.


    Methods

    Ethical Approval

    Ethical approval was obtained from the University of Oxford Central University Research Ethics Committee (Ref R50751/RE001).

    Recruitment and Participants

    British South Asian populations include first, second, and third generation people of Indian, Pakistani, Bangladeshi, and Sri Lankan descent. Participants were purposively sampled to include a broad range of views [56], reflecting the heterogeneity within and across UK South Asian communities, including people of different age groups, educational and occupational backgrounds, fluency in English, place of birth, and time since diagnosis. We also aimed to include users and nonusers of digital devices. Adults with T2D were recruited from community centers, places of worship, and a South Asian women’s center in Leicester, with the support of the CBMEH who had strong links with local community organizations. Potential participants were informed about the focus groups verbally and with written information in English by a CBMEH project support worker and by community center managers.

    Focus Group Discussions

    We conducted eight exploratory focus groups between September 2017 and March 2018. Discussions were held in venues that participants were familiar with and could easily access, such as community centers. Each group met once, and the discussions lasted between 1.5 and 2 hours. The focus groups were facilitated by SP, a qualitative researcher, with cofacilitators from the CBMEH. Before the start of the focus group, the facilitators briefly introduced the study and discussed informed consent and confidentiality in the preferred language of participants. All participants gave signed consent. A topic guide was used to facilitate discussion, informed by the multidisciplinary literature on British South Asian experiences of T2D (Textbox 1). A detailed description of our methods is discussed elsewhere [57].

    The focus groups aimed to explore South Asian perspectives of DSM, engagement with digital devices, support needs, and whether an SMS could help them to manage their condition. Examples of SMS text messages from the SuMMiT-D program were also discussed (Figure 1). Data collection continued until no new themes relating to the system were identified.


    Textbox 1. Focus group topic guide.
    View this box
    Figure 1. Examples of messages from the Support Through Mobile Messaging and Digital Health Technology for Diabetes system.
    View this figure

    Data Analysis

    Discussions were conducted in Punjabi, Bengali, Sylheti, Urdu, Hindi, and English. They were audio-recorded, and translated and transcribed verbatim by SP or a professional transcriber. SP conducted the initial thematic analysis [58], coding inductively for main themes using a qualitative software package (NVivo, QSR International Pty Ltd, Melbourne, Australia, Version 12, 2018) [59]. Transcripts were then independently coded by NN. All four research team members (SP, RC, NN, and AF) discussed the data and themes, and finalized themes using a consensus process. Discrepancies were resolved and agreed by consensus.


    Results

    A total of 67 participants (including four carers) were recruited from some of the largest South Asian communities in the United Kingdom: Indian Punjabi Sikh, Pakistani Muslim, Indian Gujarati Hindu, Bangladeshi Muslim, and Indian Gujarati Muslim. Participants ranged in age from 18 to 84 years and included first- and second-generation South Asians. Four groups were mixed and four were single sex; groups ranged in size from n=5 to n=12 (Table 1).

    Users and nonusers of digital devices discussed a range of challenges in terms of DSM and suggested a number of potential ways that SMS messages could help. Views ranged from those who felt that such a system would be a very useful addition to supporting existing self-management endeavors to those who stated that they would not use SMSs as they rarely used digital devices at all, including mobile phones. Users of digital devices discussed not only their own needs and preferences relating to the system but also their views and perceptions of what would be helpful for nonusers in their families and communities. Likewise, nonusers discussed their preferences and how family members who were users of digital technologies could help them. Five main themes were identified from the data, relating to system content and usability: (1) message content and design features, (2) language preferences, (3) family involvement, (4) different digital formats for different groups, and (5) face-to-face groups for those who do not use digital devices (Multimedia Appendix 1).

    Table 1. Focus group composition and participant demographics (N=67).
    View this table

    Message Content and Design Features

    Participants who used mobile phones or other digital devices were positive about receiving short messages about diabetes medication and the importance of taking medicines. However, they felt strongly that a messaging service should help support all aspects of self-management and not only medication adherence (Textbox 2).

    The content of messages was a common theme, with many people discussing the kinds of messages that they would like to receive. Medication-related messages that they wanted included: information about diabetes symptoms, side effects, the risks associated with not taking medicines, the long-term effects of medications on kidney health, whether tablets should be taken before or after food, routine blood tests, and how to improve glycemic control. Participants expressed strong interest in messages that addressed unmet information needs, particularly about diet and physical activity, including messages about South Asian foods, portion sizes, and fasting. Participants also expressed a need for information about stress and stress management, natural and complementary approaches used in the United Kingdom and South Asia, and “reversing” diabetes:

    In my opinion some kind of a diet plan should be introduced showing, for example, if you eat this amount of food in the morning, and in the afternoon one small bowl of lentils and one chapatti for example... If there was a diet plan, we could look at it and follow it. That would help.... When you go to see your doctor, they could show you that this is a plate and this is the portion size that should fill this plate....But these diet plans and portion sizes don’t exist for Punjabi diets. They don’t exist for our diets and foods.
    [53-year-old Punjabi Sikh female]

    Textbox 2. Patients’ preferences for message content.
    View this box

    Participants also discussed system design features, with views varying vastly and little consensus. In terms of the frequency of messages, views ranged from participants who preferred to have messages daily to those who wanted them weekly, fortnightly, or monthly. Views on the personalization of messages varied between those who were in favor of having their first name being used to those who did not want this. Messages sent by general practitioners (GPs) or researchers were seen to be credible and trustworthy:

    If we're going to get too many of these messages, people are just going to ignore them...[...]
    [58-year-old man, Gujarati Hindu focus group]
    That was what I was suggesting, that if you get too many of them you don’t even look at it. Yeah, [then] they're a sheer waste of effort and time.
    [69-year-old man, Gujarati Hindu focus group]

    Language Preferences

    Participants felt that messages in English would be acceptable as “everyone understands English” and that those who spoke no or little English could receive help to translate messages from their children, often providing examples of a son or daughter who could help in these situations. Several who preferred messages in English noted that the written version of some South Asian languages might be too formal and difficult for most people to understand, that some dialects have no written form, and that many people who spoke a South Asian language could not always read or write it. Some younger participants who spoke little English (and had recently migrated to the United Kingdom) believed that receiving SMS text messages in English might help them to improve their English and that Google Translate could be used when needed:

    If it is translated into Bengali we will not learn English as we have an alternative.
    [34-year-old Bangladeshi Muslim woman]
    This is a very good point actually i.e. if it is said in our respective language, then the motivation to learn English would decrease because we will find whatever it is we want, so we probably won’t learn.
    [47-year-old Bangladeshi Muslim man]

    The translation of short messages into South Asian languages was seen as a possible option to consider only if resources were available. Some participants felt that while multi-language options would provide choice and should perhaps be ideally available, these options were unnecessary given how brief the messages were and quick and easy for family members to translate for patients unable to read them:

    English is okay, it’s just information [laughs]. [If you don’t read English] you’d show someone else briefly to tell you that’s what it says about diabetes. It’s easy, and that’s it, finish.
    [50-year-old Gujarati Muslim man]

    Family Involvement

    Family involvement, key for participants—particularly those unable to communicate well or fluently in English—was a theme discussed in all focus groups. This included the role of young and adult children in helping patients to self-care, and the support of spouses and carers. Participants often discussed how family members (eg, spouses) reminded the patient to take medications, cooked healthier meals since their diagnosis, and made or attended GP appointments with them. One participant, a 66-year-old Pakistani Muslim man, noted that his wife reminded him to take his medications, helped him watch his diet, and that messages should be sent to her phone rather than his. Another stated that messages for his father’s physiotherapy appointments were already being sent to his phone because his father was unable to read them. He, like others, felt that brief messages about T2D should be sent to family members when the patient did not use or have a mobile phone, or was unable to read English, as family members could translate or explain messages to the patient:

    For instance, my dad, he has physiotherapy appointments. My dad had a fall, but sending a text message to my dad is not good. Okay. So I have given them my number. So I get the message...I take him for his physiotherapy appointment.
    [47-year-old Bangladeshi Muslim man]

    Different Digital Formats for Different Groups

    Although younger people generally engaged more readily with digital devices than their older counterparts, participants felt that messages in different formats could enable all members of their communities to benefit from text messages, noting the diversity within families and communities in terms of education and fluency in English. Discussions around different formats for different groups included SMS text messages in English for those who could read and understand them, audio messages in English for those who could understand but not read English, possibly audio messages in South Asian languages for those who required this, and illustrations or images to help those unable to read English or a South Asian language or dialect.

    M1: What should we do for those who are not educated and cannot read or write?

    M7: We can send messages via Whatsapp.

    M1: Do you mean send images via Whatsapp?

    M7: Images or recorded messages [...]

    M6: Images, animations.

    [M1: 47-year-old; M7: 41-year-old; M6: 46-year-old; Bangladeshi Muslim men’s focus group]

    Face-to-Face Groups for Those Who Do Not Use Digital Devices

    Information provision was seen as essential for good DSM, but participants felt that it was not reaching all sections of their communities. They emphasized that not everyone, particularly older patients, had a mobile phone: “Older people don’t even have mobile phones,” carry them on their person, or charge them regularly. Two suggestions were offered in these cases: (1) sending messages to other family members who were involved in their care and (2) face-to-face meetings as an opportunity for people to share information and learn from one another, or preferably with a health professional present to answer questions.

    Participants felt that, although an mHealth short messaging system could be helpful for people who “understand how to use a mobile phone” or other digital devices, face-to-face groups would be more helpful for those who did not. Some participants also felt that face-to-face groups would be helpful for those who could not rely on their children to help them translate SMS text messages, noting that their children were often busy with their own lives. “Human contact” with health professionals and other patients was also seen as important, particularly in the context of receiving information:

    I have come here twice and have informed others about what I learned here. They are all interested in joining. We can learn many things about the disease from which we are suffering. I am giving my opinion, like Mr X has said. When many people are involved in the discussion we can learn from them, like this son who has talked about many issues beautifully...If places are available, then I think it will be good for everyone...It will be better if a GP or doctor is present.
    [81-year-old Bangladeshi Muslim man]

    Other suggestions for disseminating message content included having educational programs or short adverts on South Asian television channels. Participants in the Bangladeshi Muslim men’s focus group stated that most Bangladeshi Muslim households in Leicester had audio receivers through which prayers and sermons from the local mosques were delivered. They felt that information about diabetes could be disseminated by faith leaders in local mosques and via the audio receivers to family members at home.


    Discussion

    Comparison With Prior Work

    This is the first study exploring British South Asian views of a digital health intervention for patients with T2D. Our focus groups included a diverse sample, including the “seldom heard” views of people unable to speak in English, some of whom were also unable to write in English or a South Asian language.

    Previous research into the perspectives of British South Asians with T2D has focused on experiences of, and barriers and facilitators to, DSM, but to date no research has explored the views of British South Asian people in relation to digital health interventions to support DSM. Our findings corroborate those of the HeLP-Diabetes study, guided by the Corbin and Strauss framework [60], where the features of digital health interventions desired by the general population included specific content relating to diabetes, reliable, accessible dietary advice, and guidance on emotional management [61]. Corbin and Strauss [60] discussed three types of work involved in living with and managing chronic illness: illness work, everyday life work, and biographical work. Illness-related work—that of managing symptoms, diagnosis, medications, and crises—differs from everyday life work, which includes managing everyday living, emotions, and relationships. Biographical work is the work that is done to find meaning from the condition and life experience in light of the disruptions to a person’s biographical narrative caused by chronic illness. For our participants, having messages that helped with illness-related work and everyday life work was of most importance in terms of DSM. Future DSM interventions aimed at South Asian populations could consider including culturally relevant information to support this “work” that people living with diabetes undertake in their everyday lives, such as information about the health benefits of different South Asian foods and diets, healthy portion sizes, fasting, and different kinds of physical activity.

    The cultural adaptation of SMS text message interventions has generally included language translation, so that health messages reflect health beliefs, norms, and social practices [62]. However, there is little evidence to support the effectiveness and desirability of cultural adaptation of such interventions and a lack of research into the cultural appropriateness of messages [9]. Although a culturally adapted SMS has never been trialed in the United Kingdom, culturally adapted health promotion interventions aimed at British South Asians have shown only moderate effect and were inconclusive in demonstrating cost effectiveness [33]. None of these interventions involved head-to-head comparisons with interventions aimed at the general population. Study materials included adaptation into South Asian languages, which researchers state is challenging, time-consuming, costly, and not just a process of linguistic translation [63]. Participants in our study felt that messages delivered in South Asian languages were not essential or necessary for a short messaging intervention in which messages were less than 160 characters.

    Previously adapted health promotion interventions for British South Asians with T2D have emphasized the importance of family involvement because of the strong cultural emphasis on family life. In a lifestyle intervention on weight change in British South Asian people at high risk of T2D, families rather than individuals were randomized in the trial. However, researchers working on the trial were unable to recruit family volunteers for many families, concluding that the added value of family involvement remains to be explored [64]. Our participants were positive about the involvement of family members or carers possibly because very little would be required of them to translate short messages. Recent work in intervention development recommends putting the needs and wants of end users at the heart of any intervention [50], highlighting that interventions that can be well integrated into everyday life and health care routines, that are easy to use, compatible with patients’ existing skills, and that do not significantly disrupt patients’ lives are more likely to lead to successful implementation [65]. Interventions aimed at South Asian populations may also need to consider these design aspects in relation to family and carers too.

    A range of factors need to be considered when culturally adapting a digital health intervention, including levels of mobile phone or technology use. Access to smartphones can be influenced by various factors, including age, gender, education, and affordability [27]. It is also important to consider the power dynamics that determine different groups’ access to technologies [26] and how health inequalities may be created or perpetuated. A study of the use of electronic health among patients in Norway with type 1 and T2D found a strong association between a high level of education and the use of search engines but no educational differences for the use of apps, social media, and video services, indicating that adequate communication strategies for audiences with varying education levels should be a focus in efforts to reduce health inequalities in health outcomes [66]. As our participants suggested—users and nonusers alike—different digital formats for different groups have to be considered when thinking about the needs of heterogeneous populations with varied levels of literacy and education, as well as addressing the needs of family and community members who do not use digital devices, such as face-to-face meetings.

    Our formative research sheds light on the varied needs of British South Asian patients in relation to short messages to support DSM. These findings are consistent with those from focus groups and interviews that we conducted separately with the general population, where participants also expressed a preference for message content that addressed all aspects of DSM and not just medication adherence [67]. This suggests that an mHealth SMS designed for the general population, such as the SuMMiT-D system, can be acceptable and relevant to UK South Asian populations but may need to include additional content with culturally adapted messages about South Asian foods, natural and herbal approaches used in the United Kingdom and South Asia, safe medicine taking when fasting, and exercise in women-only groups—messages that can be available to those who opt to receive them from a system that can provide individual choice. Other design implications worth considering include using images and audio messages for patients unable to read message content in English, as suggested by our participants. There is limited evidence of the extent to which culturally adapted messages might lead to specific changes in behavior, but they are likely to enhance engagement with the wider intervention. Exploring the views of British South Asian patients on an SMS aimed at the general UK population is important in maximizing the potential of such an intervention. Although head-to-head comparisons of adapted and nonadapted interventions are rare, our qualitative data with British South Asian communities and the general population suggest that formative work comparisons can yield helpful insights into which interventions need to be culturally adapted, why, and what this might involve. Future research should explore how best to codesign and test culturally adapted messages that could be incorporated into a general digital messaging system aimed at all UK patients with T2D.

    Limitations

    The study was exploratory and, although it included some family/carer views, focus groups specifically with families would shed further light into their views on receiving short messages and translating these for patients. Although our sample included a diverse range of views, fewer second generation and no third generation participants took part in the study, people who may have had further ideas about system content and usability. As family/carers, third generation British South Asians could shed further light into the translating/explaining of message content to first- or second-generation family members (eg, to grandparents). As young patients, they may have differing views about the need for messages on, for example, South Asian foods and diets. As regular users of the internet, they may also feel that they have access to all the information that they need and have no need for short digital messages. The focus groups were held during the day. Evening focus groups might have encouraged more second and third generation people to attend, potentially a more convenient time for those in full-time education and employment.

    Conclusions

    An mHealth short messaging intervention that addresses all aspects of DSM is more relevant and acceptable to British South Asian people with T2D than one that focuses only on medication adherence. For such an intervention to meet the needs of UK South Asian populations, it may also have to include culturally relevant messages sent to those who opt to receive them. It is equally important to consider how to disseminate message content to patients who do not use digital devices to help reduce health inequalities, including face-to-face groups.

    Acknowledgments

    This study was funded by the National Institute for Health Research (NIHR; Programme Grants for Applied Research programme [RP-PG-1214-20003]). The views expressed are those of the authors and not necessarily those of the NIHR or the Department of Health and Social Care. AF is an NIHR Senior Investigator and receives funding from the NIHR Oxford Biomedical Research Centre. The authors would like to thank the participants who took part in this study, Nasima Miah who helped with the recruitment and cofacilitation of focus groups, and Ebrahim Ali for cofacilitating two focus groups. They would also like to thank the CBMEH, University of Leicester, Diabetes Research Centre, for their support with this work. They also thank their reviewers for their helpful comments.

    Authors' Contributions

    AF, RC, and SP designed the focus group study, and SP facilitated the focus groups. Transcripts were coded by SP and NN. Drafting the manuscript was led by SP, with all other authors contributing comments and reflections, and approving the final version.

    Conflicts of Interest

    None declared.

    Multimedia Appendix 1

    Participants’ quotes about system content and usability.

    DOCX File , 19 KB

    References

    1. International Diabetes Federation. IDF Diabetes Atlas 9th Edition 2019. Brussels, Belgium: International Diabetes Federation; 2019.   URL: https://www.diabetesatlas.org/en/ [accessed 2020-02-11]
    2. Sohal T, Sohal P, King-Shier KM, Khan NA. Barriers and facilitators for type-2 diabetes management in South Asians: a systematic review. PLoS One 2015;10(9):e0136202 [FREE Full text] [CrossRef] [Medline]
    3. Khan NA, Wang H, Anand S, Jin Y, Campbell NR, Pilote L, et al. Ethnicity and sex affect diabetes incidence and outcomes. Diabetes Care 2011 Jan;34(1):96-101 [FREE Full text] [CrossRef] [Medline]
    4. Forouhi NG, Sattar N, Tillin T, McKeigue PM, Chaturvedi N. Do known risk factors explain the higher coronary heart disease mortality in South Asian compared with European men? Prospective follow-up of the Southall and Brent studies, UK. Diabetologia 2006 Nov;49(11):2580-2588. [CrossRef] [Medline]
    5. Gov.UK. 2018. Population of England and Wales   URL: https:/​/www.​ethnicity-facts-figures.service.gov.uk/​uk-population-by-ethnicity/​national-and-regional-populations/​population-of-england-and-wales/​latest#main-facts-and-figures [accessed 2020-01-27]
    6. Hills AP, Arena R, Khunti K, Yajnik CS, Jayawardena R, Henry CJ, et al. Epidemiology and determinants of type 2 diabetes in south Asia. Lancet Diabetes Endocrinol 2018 Dec;6(12):966-978. [CrossRef] [Medline]
    7. Bailey TS, Zisser HC, Garg SK. Reduction in hemoglobin A1C with real-time continuous glucose monitoring: results from a 12-week observational study. Diabetes Technol Ther 2007 Jun;9(3):203-210. [CrossRef] [Medline]
    8. Macisaac RJ, Jerums G. Intensive glucose control and cardiovascular outcomes in type 2 diabetes. Heart Lung Circ 2011 Oct;20(10):647-654. [CrossRef] [Medline]
    9. Dobson R, Whittaker R, Jiang Y, Shepherd M, Maddison R, Carter K, et al. Text message-based diabetes self-management support (SMS4BG): study protocol for a randomised controlled trial. Trials 2016 Apr 2;17:179 [FREE Full text] [CrossRef] [Medline]
    10. Gatwood J, Balkrishnan R, Erickson SR, An LC, Piette JD, Farris KB. The impact of tailored text messages on health beliefs and medication adherence in adults with diabetes: A randomized pilot study. Res Social Adm Pharm 2016;12(1):130-140. [CrossRef] [Medline]
    11. Farmer AJ, McSharry J, Rowbotham S, McGowan L, Ricci-Cabello I, French DP. Effects of interventions promoting monitoring of medication use and brief messaging on medication adherence for people with Type 2 diabetes: a systematic review of randomized trials. Diabet Med 2015 Oct 15;33(5):565-579. [CrossRef] [Medline]
    12. Ramachandran A, Kumar R, Nanditha A, Raghavan A, Snehalatha C, Krishnamoorthy S, et al. mDiabetes initiative using text messages to improve lifestyle and health-seeking behaviour in India. BMJ Innov 2018;4(4):155-162. [CrossRef]
    13. Bobrow K, Farmer AJ, Springer D, Shanyinde M, Yu L, Brennan T, et al. Mobile phone text messages to support treatment adherence in adults with high blood pressure (SMS-Text Adherence Support [StAR]): a single-blind, randomized trial. Circulation 2016 Feb 9;133(6):592-600 [FREE Full text] [CrossRef] [Medline]
    14. Thakkar J, Barry T, Thiagalingam A, Redfern J, McEwan AL, Rodgers A, et al. Design considerations in development of a mobile health intervention program: the TEXT ME and TEXTMEDS experience. JMIR Mhealth Uhealth 2016 Nov 15;4(4):e127 [FREE Full text] [CrossRef] [Medline]
    15. Huang Z, Soljak M, Boehm BO, Car J. Clinical relevance of smartphone apps for diabetes management: a global overview. Diabetes Metab Res Rev 2018 May;34(4):e2990. [CrossRef] [Medline]
    16. Office of National Statistics. 2017. Internet access – households and individuals, Great Britain: 2017   URL: https:/​/www.​ons.gov.uk/​peoplepopulationandcommunity/​householdcharacteristics/​homeinternetandsocialmediausage/​bulletins/​internetaccesshouseholdsandindividuals/​2017 [accessed 2020-01-27]
    17. Rami B, Popow C, Horn W, Waldhoer T, Schober E. Telemedical support to improve glycemic control in adolescents with type 1 diabetes mellitus. Eur J Pediatr 2006 Oct;165(10):701-705. [CrossRef] [Medline]
    18. Nundy S, Dick JJ, Chou C, Nocon RS, Chin MH, Peek ME. Mobile phone diabetes project led to improved glycemic control and net savings for Chicago plan participants. Health Aff (Millwood) 2014 Feb;33(2):265-272 [FREE Full text] [CrossRef] [Medline]
    19. Razum O, Spallek J. Addressing health-related interventions to immigrants: migrant-specific or diversity-sensitive? Int J Public Health 2014 Dec;59(6):893-895. [CrossRef] [Medline]
    20. Osei-Assibey G, Kyrou I, Adi Y, Kumar S, Matyka K. Dietary and lifestyle interventions for weight management in adults from minority ethnic/non-White groups: a systematic review. Obes Rev 2010 Nov;11(11):769-776. [CrossRef] [Medline]
    21. Ockene IS, Tellez TL, Rosal MC, Reed GW, Mordes J, Merriam PA, et al. Outcomes of a Latino community-based intervention for the prevention of diabetes: the Lawrence Latino Diabetes Prevention Project. Am J Public Health 2012 Feb;102(2):336-342. [CrossRef] [Medline]
    22. Castro FG, Barrera M, Holleran SLK. Issues and challenges in the design of culturally adapted evidence-based interventions. Annu Rev Clin Psychol 2010;6:213-239 [FREE Full text] [CrossRef] [Medline]
    23. Terragni L, Beune E, Stronks K, Davidson E, Qureshi S, Kumar B, et al. Developing culturally adapted lifestyle interventions for South Asian migrant populations: a qualitative study of the key success factors and main challenges. Public Health 2018 Aug;161:50-58. [CrossRef] [Medline]
    24. Verbiest M, Borrell S, Dalhousie S, Tupa'i-Firestone R, Funaki T, Goodwin D, et al. A co-designed, culturally-tailored mHealth tool to support healthy lifestyles in Māori and Pasifika communities in New Zealand: protocol for a cluster randomized controlled trial. JMIR Res Protoc 2018 Aug 22;7(8):e10789 [FREE Full text] [CrossRef] [Medline]
    25. Gorton D, Dixon R, Maddison R, Mhurchu CN, Jull A. Consumer views on the potential use of mobile phones for the delivery of weight-loss interventions. J Hum Nutr Diet 2011 Dec;24(6):616-619. [CrossRef] [Medline]
    26. Dobson R, Whittaker R, Bartley H, Connor A, Chen R, Ross M, et al. Development of a culturally tailored text message maternal health program: TextMATCH. JMIR Mhealth Uhealth 2017 Apr 20;5(4):e49 [FREE Full text] [CrossRef] [Medline]
    27. McCool J, Tanielu H, Umali E, Whittaker R. Assessing the cross-cultural adaptation and translation of a text-based mobile smoking cessation program in Samoa (TXTTaofiTapaa): pilot study. JMIR Mhealth Uhealth 2018 Aug 31;6(8):e173 [FREE Full text] [CrossRef] [Medline]
    28. Rush E, Reed P, McLennan S, Coppinger T, Simmons D, Graham D. A school-based obesity control programme: Project Energize. Two-year outcomes. Br J Nutr 2012 Feb;107(4):581-587. [CrossRef] [Medline]
    29. Ellison-Loschmann L, Pearce N. Improving access to health care among New Zealand's Maori population. Am J Public Health 2006 Apr;96(4):612-617. [CrossRef] [Medline]
    30. Bellary S, O'Hare JP, Raymond NT, Gumber A, Mughal S, Szczepura A, UKADS Study Group. Enhanced diabetes care to patients of south Asian ethnic origin (the United Kingdom Asian Diabetes Study): a cluster randomised controlled trial. Lancet 2008 May 24;371(9626):1769-1776. [CrossRef] [Medline]
    31. Muilwijk M, Stronks K, Qureshi SA, Beune E, Celis-Morales C, Gill J, et al. Dietary and physical activity strategies to prevent type 2 diabetes in South Asian adults: protocol for a systematic review. BMJ Open 2017 Jul 2;7(6):e012783 [FREE Full text] [CrossRef] [Medline]
    32. Brown T, Smith S, Bhopal R, Kasim A, Summerbell C. Diet and physical activity interventions to prevent or treat obesity in South Asian children and adults: a systematic review and meta-analysis. Int J Environ Res Public Health 2015 Jan 9;12(1):566-594 [FREE Full text] [CrossRef] [Medline]
    33. Wallia S, Bhopal RS, Douglas A, Bhopal R, Sharma A, Hutchison A, et al. Culturally adapting the prevention of diabetes and obesity in South Asians (PODOSA) trial. Health Promot Int 2014 Dec;29(4):768-779. [CrossRef] [Medline]
    34. Barrera M, Castro FG, Strycker LA, Toobert DJ. Cultural adaptations of behavioral health interventions: a progress report. J Consult Clin Psychol 2013 Apr;81(2):196-205 [FREE Full text] [CrossRef] [Medline]
    35. Liu J, Davidson E, Bhopal R, White M, Johnson M, Netto G, et al. Adapting health promotion interventions to meet the needs of ethnic minority groups: mixed-methods evidence synthesis. Health Technol Assess 2012;16(44):1-469 [FREE Full text] [CrossRef] [Medline]
    36. Lloyd CE, Mughal S, Roy T, Raymond NT, O'Hare JP, Barnett AH, et al. What factors influence concordance with medications? Findings from the UK Asian Diabetes study. Diabet Med 2014 Dec;31(12):1600-1609. [CrossRef] [Medline]
    37. Porqueddu T. Herbal medicines for diabetes control among Indian and Pakistani migrants with diabetes. Anthropol Med 2017 Apr;24(1):17-31. [CrossRef] [Medline]
    38. Patel N, Ferrer HB, Tyrer F, Wray P, Farooqi A, Davies MJ, et al. Barriers and facilitators to healthy lifestyle changes in minority ethnic populations in the UK: a narrative review. J Racial Ethn Health Disparities 2017 Dec;4(6):1107-1119 [FREE Full text] [CrossRef] [Medline]
    39. Lawton J, Ahmad N, Hanna L, Douglas M, Bains H, Hallowell N. 'We should change ourselves, but we can't': accounts of food and eating practices amongst British Pakistanis and Indians with type 2 diabetes. Ethn Health 2008 Sep;13(4):305-319. [CrossRef] [Medline]
    40. Lawton J, Ahmad N, Hanna L, Douglas M, Hallowell N. 'I can't do any serious exercise': barriers to physical activity amongst people of Pakistani and Indian origin with Type 2 diabetes. Health Educ Res 2006 Feb;21(1):43-54. [CrossRef] [Medline]
    41. Lawton J, Ahmad N, Hallowell N, Hanna L, Douglas M. Perceptions and experiences of taking oral hypoglycaemic agents among people of Pakistani and Indian origin: qualitative study. Br Med J 2005 May 28;330(7502):1247 [FREE Full text] [CrossRef] [Medline]
    42. Singh H, Cinnirella M, Bradley C. Support systems for and barriers to diabetes management in South Asians and Whites in the UK: qualitative study of patients' perspectives. BMJ Open 2012;2(6):pii: e001459 [FREE Full text] [CrossRef] [Medline]
    43. EuroDHYAN.   URL: https://www.eurodhyan.eu/ [accessed 2020-08-02]
    44. Tabak RG, Sinclair KA, Baumann AA, Racette SB, Sebert KA, Johnson-Jennings MD, et al. A review of diabetes prevention program translations: use of cultural adaptation and implementation research. Transl Behav Med 2015 Dec;5(4):401-414 [FREE Full text] [CrossRef] [Medline]
    45. Campbell NC, Murray E, Darbyshire J, Emery J, Farmer A, Griffiths F, et al. Designing and evaluating complex interventions to improve health care. Br Med J 2007 Mar 3;334(7591):455-459 [FREE Full text] [CrossRef] [Medline]
    46. Craig P, Dieppe P, Macintyre S, Michie S, Nazareth I, Petticrew M, et al. Developing and evaluating complex interventions: the new Medical Research Council guidance. Br Med J 2008;337:a1655 [FREE Full text] [Medline]
    47. Blandford A, Gibbs J, Newhouse N, Perski O, Singh A, Murray E. Seven lessons for interdisciplinary research on interactive digital health interventions. Digit Health 2018;4:2055207618770325 [FREE Full text] [CrossRef] [Medline]
    48. Pagliari C. Design and evaluation in eHealth: challenges and implications for an interdisciplinary field. J Med Internet Res 2007 May 27;9(2):e15 [FREE Full text] [CrossRef] [Medline]
    49. O'Brien N, Heaven B, Teal G, Evans EH, Cleland C, Moffatt S, et al. Integrating evidence from systematic reviews, qualitative research, and expert knowledge using co-design techniques to develop a web-based intervention for people in the retirement transition. J Med Internet Res 2016 Aug 03;18(8):e210 [FREE Full text] [CrossRef] [Medline]
    50. Yardley L, Morrison L, Bradbury K, Muller I. The person-based approach to intervention development: application to digital health-related behavior change interventions. J Med Internet Res 2015;17(1):e30 [FREE Full text] [CrossRef] [Medline]
    51. Ricci-Cabello I, Bobrow K, Islam SM, Chow CK, Maddison R, Whittaker R, et al. Examining development processes for text messaging interventions to prevent cardiovascular disease: systematic literature review. JMIR Mhealth Uhealth 2019 Mar 29;7(3):e12191 [FREE Full text] [CrossRef] [Medline]
    52. Office for National Statistics. 2011 Census   URL: https://www.ons.gov.uk/census/2011census [accessed 2020-01-27]
    53. Nuffield Department of Primary Care Health Sciences. Support through Mobile Messaging and dIgital health Technology for Diabetes   URL: https://www.phc.ox.ac.uk/research/participate/summit-d [accessed 2020-01-27]
    54. Michie S, Richardson M, Johnston M, Abraham C, Francis J, Hardeman W, et al. The behavior change technique taxonomy (v1) of 93 hierarchically clustered techniques: building an international consensus for the reporting of behavior change interventions. Ann Behav Med 2013 Aug;46(1):81-95. [CrossRef] [Medline]
    55. Long H, Bartlett YK, Farmer AJ, French DP. Identifying brief message content for interventions delivered via mobile devices to improve medication adherence in people with type 2 diabetes mellitus: a rapid systematic review. J Med Internet Res 2019 Jan 09;21(1):e10421 [FREE Full text] [CrossRef] [Medline]
    56. Coyne IT. Sampling in qualitative research. Purposeful and theoretical sampling; merging or clear boundaries? J Adv Nurs 1997 Sep;26(3):623-630. [CrossRef] [Medline]
    57. Prinjha S, Miah N, Ali E, Farmer A. Including 'seldom heard' views in research: opportunities, challenges and recommendations from focus groups with British South Asian people with type 2 diabetes. BMC Medical Research Methodology (forthcoming) 2020 . [CrossRef]
    58. Braun V, Clarke V. Using thematic analysis in psychology. Qual Res Psychol 2006;3(2):77-101 [FREE Full text] [CrossRef]
    59. Pope C, Ziebland S, Mays N. Qualitative research in health care. Analysing qualitative data. Br Med J 2000 Jan 08;320(7227):114-116 [FREE Full text] [CrossRef] [Medline]
    60. Corbin J, Strauss A. Unending Work and Care: Managing Chronic Illness at Home. San Francisco and London: Jossey-Bass; 1988.
    61. Pal K, Dack C, Ross J, Michie S, May C, Stevenson F, et al. Digital health interventions for adults with type 2 diabetes: qualitative study of patient perspectives on diabetes self-management education and support. J Med Internet Res 2018 Jan 29;20(2):e40 [FREE Full text] [CrossRef] [Medline]
    62. Whittaker R, Matoff-Stepp S, Meehan J, Kendrick J, Jordan E, Stange P, et al. Text4baby: development and implementation of a national text messaging health information service. Am J Public Health 2012 Dec;102(12):2207-2213. [CrossRef] [Medline]
    63. Hunt SM, Bhopal R. Self report in clinical and epidemiological studies with non-English speakers: the challenge of language and culture. J Epidemiol Community Health 2004 Jul;58(7):618-622 [FREE Full text] [CrossRef] [Medline]
    64. Bhopal RS, Douglas A, Wallia S, Forbes JF, Lean MEJ, Gill JMR, et al. Effect of a lifestyle intervention on weight change in south Asian individuals in the UK at high risk of type 2 diabetes: a family-cluster randomised controlled trial. Lancet Diabetes Endocrinol 2014 Mar;2(3):218-227 [FREE Full text] [CrossRef] [Medline]
    65. Vassilev I, Rowsell A, Pope C, Kennedy A, O'Cathain A, Salisbury C, et al. Assessing the implementability of telehealth interventions for self-management support: a realist review. Implement Sci 2015;10:59 [FREE Full text] [CrossRef] [Medline]
    66. Hansen AH, Bradway M, Broz J, Claudi T, Henriksen O, Wangberg SC, et al. Inequalities in the use of eHealth between socioeconomic groups among patients with type 1 and type 2 diabetes: cross-sectional study. J Med Internet Res 2019 May 29;21(5):e13615 [FREE Full text] [CrossRef] [Medline]
    67. Bartlett YK, Newhouse N, Long HA, Farmer AJ, French DP. What do people with type 2 diabetes want from a brief messaging system to support medication adherence? Patient Prefer Adherence 2019;13:1629-1640 [FREE Full text] [CrossRef] [Medline]


    Abbreviations

    CBMEH: Centre for Black and Minority Ethnic Health
    DSM: diabetes self-management
    GP: general practitioner
    mHealth: mobile health
    NIHR: National Institute for Health Research
    SuMMiT-D: Support Through Mobile Messaging and Digital Health Technology for Diabetes
    T2D: type 2 diabetes


    Edited by G Eysenbach; submitted 07.08.19; peer-reviewed by S Drabble, S Kanthawala; comments to author 26.09.19; revised version received 01.11.19; accepted 26.01.20; published 20.04.20

    ©Suman Prinjha, Ignacio Ricci-Cabello, Nikki Newhouse, Andrew Farmer. Originally published in JMIR mHealth and uHealth (http://mhealth.jmir.org), 20.04.2020.

    This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR mHealth and uHealth, is properly cited. The complete bibliographic information, a link to the original publication on http://mhealth.jmir.org/, as well as this copyright and license information must be included.