What do people with type 2 diabetes want from a brief messaging system to support medication adherence?
Open accessAbstract
BACKGROUND: Many people with type 2 diabetes do not take their treatment as prescribed. Brief messages to support medication use could reach large numbers of people at a very low cost per person, but current interventions using brief messages rarely adequately describe the content of the messages, nor base these messages on explicit behavior change principles. This study reports the views of people with type 2 diabetes concerning the acceptability of 1) a messaging system and 2) proposed messages based on behavior change techniques (BCTs) and beliefs and concerns around taking medication. METHODS: The proposed system and brief messages were discussed in focus groups of people with type 2 diabetes recruited through general practices in England. Transcripts were analyzed thematically. PARTICIPANTS: Twenty-three participants took part in one of five focus group discussions. All participants were over 18 years, were taking tablet medication for their diabetes, and had access to a mobile phone. Key exclusion criteria were recent hospitalization for hyper- or hypoglycemia or diagnosis with a terminal illness. RESULTS: Four themes were identified as relating to the acceptability of the messaging system: "opportunities and limitations of technology", "us and them (who is the system for?)", "responsibility for adherence", and "diabetes management beyond medication". Participants recognized the benefit of using technology. Those with high confidence in their ability to adhere were keen to make a distinction between themselves and those who did not adhere; participants were more comfortable taking responsibility for medication than diet and exercise. Acceptability of the messages hinged on avoiding "preaching to the converted". CONCLUSIONS: These findings show that brief messaging could be acceptable to the target population for a range of diabetes-related behaviors but highlight the need for such a system to be perceived as personally relevant. Acceptable messages would need to maintain novelty for the target population.
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The study findings are consistent with those from focus groups and interviews conducted separately with the general population, where participants also expressed a preference for message content that addressed all aspects of diabetes self-management and not just medication adherence.
“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].”
From 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 (2020) · cites this paper as [67]
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Michie, S., Richardson, M., Johnston, M., Abraham, C., Francis, J., Hardeman, W., Eccles, M. P., Cane, J., & Wood, C. E. (2013) · Annals of Behavioral Medicine · doi:10.1007/s12160-013-9486-6 · Cited by 7,629 · see citing works
Sekhon, M., Cartwright, M., & Francis, J. J. (2017) · BMC Health Services Research · doi:10.1186/s12913-017-2031-8 · Cited by 3,938 · see citing works
Kirk, J. M. W., MacDonald, A., Lavender, P., Dean, J. M., & Rubin, G. (2017) · Biomedicine Hub · doi:10.1159/000480347 · Cited by 3,901 · see citing works
Interventions for enhancing medication adherence
Nieuwlaat, R., Wilczynski, N., Navarro, T., Hobson, N., Jeffery, R., Keepanasseril, A., Agoritsas, T., Mistry, N., Iorio, A., Jack, S., et al. (2014) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd000011.pub4 · Cited by 2,945 · cited 3× · see citing works
“Current interventions to support medication taking both in diabetes and in other long-term conditions have had limited success and can be complex and poorly described.(4) A Cochrane review of the area found that there is a “lack of convincing evidence” [p.”
BackgroundInfluentialA taxonomy of behavior change techniques used in interventions
Abraham, C., & Michie, S. (2008) · Health Psychology · doi:10.1037/0278-6133.27.3.379 · Cited by 2,525 · see citing works
Free, C., Phillips, G., Galli, L., Watson, L., Felix, L., Edwards, P., Patel, V., & Haines, A. (2013) · PLoS Medicine · doi:10.1371/journal.pmed.1001362 · Cited by 1,766 · see citing works
The English indices of deprivation 2004
Noble, M., Wright, G., Dibben, C., Smith, G., McLennan, D., Anttila, C., Barnes, H., Mokhtar, C., Noble, S., & Gardner, J. (2004) · Cited by 1,494 · see citing works
A systematic review of adherence with medications for diabetes
Cramer, J. A. (2004) · Diabetes Care · doi:10.2337/diacare.27.5.1218 · Cited by 1,203 · see citing works
When to Use Focus Groups and Why
Morgan, D. L., & Krueger, R. A. (1993) · Sage eBooks · doi:10.4135/9781483349008.n1 · Cited by 1,177 · see citing works
Developing Questions for Focus Groups
Krueger, R. (1998) · doi:10.4135/9781483328126 · Cited by 848 · see citing works
Patient Preference and Adherence
(2020) · doi:10.2147/ppa · Cited by 731 · see citing works
Efficacy of text messaging-based interventions for health promotion: A meta-analysis
Head, K. J., Noar, S. M., Iannarino, N. T., & Harrington, N. G. (2013) · Social Science & Medicine · doi:10.1016/j.socscimed.2013.08.003 · Cited by 647 · see citing works
Horvath, T., Azman, H., Kennedy, G. E., & Rutherford, G. W. (2012) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd009756 · Cited by 428 · see citing works
Gujral, U. P., Pradeepa, R., Weber, M. B., Narayan, K. M. V., & Mohan, V. (2013) · Annals of the New York Academy of Sciences · doi:10.1111/j.1749-6632.2012.06838.x · Cited by 399 · see citing works
Arora, S., Peters, A. L., Burner, E., Lam, C. N., & Menchine, M. (2014) · Annals of Emergency Medicine · doi:10.1016/j.annemergmed.2013.10.012 · Cited by 273 · see citing works
Arambepola, C., Ricci‐Cabello, I., Manikavasagam, P., Roberts, N. W., French, D., & Farmer, A. A. (2016) · Journal of Medical Internet Research · doi:10.2196/jmir.5425 · Cited by 188 · see citing works
Self-citationA Systematic Review of Adherence With Medications for Diabetes
Wens, J., Vermeire, E., Royen, P. V., & Hearnshaw, H. (2004) · Diabetes Care · doi:10.2337/diacare.27.9.2284 · Cited by 171 · see citing works
Brundisini, F. K., Vanstone, M. G., Hulan, D., DeJean, D., & Giacomini, M. K. (2015) · BMC Health Services Research · doi:10.1186/s12913-015-1174-8 · Cited by 167 · see citing works
Dobson, R., Whittaker, R., Jiang, Y., Maddison, R., Shepherd, M., McNamara, C. M., Cutfield, R. G., Khanolkar, M., & Murphy, R. (2018) · BMJ · doi:10.1136/bmj.k1959 · Cited by 164 · see citing works
Farmer, A. J., McSharry, J., Rowbotham, S., McGowan, L., Ricci‐Cabello, I., & French, D. P. (2016) · Diabetic Medicine · doi:10.1111/dme.12987 · Cited by 106 · see citing works
Self-citationFarmer, A. A., Rodgers, L. R., Lonergan, M. E., Shields, B. M., Weedon, M. N., Donnelly, L. A., Holman, R. R., Pearson, E. R., & Hattersley, A. T. (2015) · Diabetes Care · doi:10.2337/dc15-1194 · Cited by 106 · see citing works
Self-citationAdherence to evidence-based guidelines among diabetes self-management apps
Breland, J. Y., Yeh, V. M., & Yu, J. (2013) · Translational Behavioral Medicine · doi:10.1007/s13142-013-0205-4 · Cited by 85 · see citing works
Diabetes Text-Message Self-Management Support Program (SMS4BG): A Pilot Study
Dobson, R., Carter, K., Cutfield, R., Hulme, A., Hulme, R., McNamara, C., Maddison, R., Murphy, R., Shepherd, M., Strydom, J., et al. (2015) · JMIR mHealth and uHealth · doi:10.2196/mhealth.3988 · Cited by 77 · see citing works
Burner, E., Menchine, M. D., Kubicek, K., Robles, M., & Arora, S. (2014) · Journal of Medical Internet Research · doi:10.2196/jmir.2881 · Cited by 70 · see citing works
Kebede, M. M., Liedtke, T. P., Möllers, T., & Pischke, C. R. (2017) · Journal of Medical Internet Research · doi:10.2196/jmir.7135 · Cited by 69 · see citing works
Peeters, B., Tongelen, I. V., Boussery, K., Mehuys, E., Remon, J. P., & Willems, S. J. T. (2010) · Diabetic Medicine · doi:10.1111/j.1464-5491.2010.03133.x · Cited by 64 · see citing works
McSharry, J., McGowan, L. J., Farmer, A. A., & French, D. (2016) · Diabetic Medicine · doi:10.1111/dme.13152 · Cited by 60 · see citing works
Self-citationLong, H. A., Bartlett, Y. K., Farmer, A. A., & French, D. (2018) · Journal of Medical Internet Research · doi:10.2196/10421 · Cited by 47 · see citing works
Self-citationDobson, R., Whittaker, R., Dale, L. P., & Maddison, R. (2017) · Digital Health · doi:10.1177/2055207617740315 · Cited by 44 · see citing works
mHealth Intervention Elements and User Characteristics Determine Utility: A Mixed-Methods Analysis
Nelson, L. A., Mulvaney, S. A., Johnson, K. B., & Osborn, C. Y. (2017) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2016.0294 · Cited by 32 · see citing works
Pfister, R., Cairns, R. M., Erdmann, E., et al. (2011) · Diabetic Medicine · doi:10.1111/j.1464-5491.2011.03281.x · Cited by 26 · see citing works
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Prinjha, S., Ricci-Cabello, I., Newhouse, N., & Farmer, A. (2020) · JMIR mHealth and uHealth · doi:10.2196/15789 · Cited by 34 · see citing works
Self-citationKhalid, A., Dong, Q., Chuluunbaatar, E., Haldane, V., Durrani, H., & Wei, X. (2023) · Journal of Medical Internet Research · doi:10.2196/42134 · Cited by 27 · see citing works
- Authors
- Bartlett, Y. K., Newhouse, N., Long, H. A., Farmer, A., & French, D.
- Affiliations
- University of Manchester (GB)
- University of Oxford (GB)
- Corresponding author
- Bartlett, Yvonne Kiera
- Venue
- Patient Preference and Adherence
- Publisher
- Informa UK Limited
- Published
- 2019-09
- Volume
- Volume 13
- Pages
- 1629-1640
- ISSN
- 1177-889X (ISSN-L)
- PMC
- PMC6777899
- OpenAlex
- W2977170058
- Cited by
- 14
- References
- 31
- Citations by year
- 2025: 2 · 2023: 3 · 2022: 3 · 2021: 2 · 2020: 3 · 2019: 1
- FWCI
- 3.07
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Patient Preference and Adherence (publishedVersion, cc-by-nc)
- Europe PMC (PubMed Central) (publishedVersion, cc-by-nc)
- PubMed Central (publishedVersion, cc-by-nc)
- PubMed (publishedVersion)
- Research Explorer (The University of Manchester) (acceptedVersion, cc-by-nc)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Dove Medical Press (Taylor and Francis Group) (submittedVersion, cc-by-nc)
- Funders
- National Institute for Health and Care Research (IS-BRC-1215–20007, BRC-121520007, RP-PG-1214-20003, IS-BRC-1215, NF-SI-0617-10029)
- Department of Health and Social Care
- Manchester Biomedical Research Centre (IS‐BRC‐1215–20007, BRC-1215-20007, 20007, IS-BRC-1215)
- Programme Grants for Applied Research (RP-PG-1214-20003)
- Topics
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Health Sciences › Medicine › Family Practice › Medication Adherence and Compliance
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Education
- Keywords
- type 2 diabetes, medication adherence, mobile phone reminders, behaviour change techniques, acceptability, patient preferences, medication beliefs, diabetes self-management
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