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03-08-2016 | Brief Report | Uitgave 6/2016

The MEssaging for Diabetes (MED) intervention improves short-term medication adherence among low-income adults with type 2 diabetes

Tijdschrift:: Journal of Behavioral Medicine > Uitgave 6/2016

Auteurs:: Lyndsay A. Nelson, Shelagh A. Mulvaney, Tebeb Gebretsadik, Kevin B. Johnson, Chandra Y. Osborn

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Abstract

Adults with type 2 diabetes (T2DM) and low socioeconomic status (SES) have high rates of medication nonadherence, and, in turn, suboptimal glycemic control (hemoglobin A1c [HbA1c]). We tested the initial efficacy of a short message service (SMS) text messaging and interactive voice response (IVR) intervention to promote adherence among this high-risk group. Eighty low SES, diverse adults with T2DM used the MEssaging for Diabetes (MED) SMS/IVR intervention for 3 months. We used a pre-post single group design to explore adherence changes over 3 months, and a quasi-experimental design to test the impact of MED on HbA1c among the intervention group relative to a matched, archival control group. Compared to baseline, adherence improved at one (AOR 3.88, 95 % CI 1.79, 10.86) and at 2 months (AOR 3.76, 95 % CI 1.75, 17.44), but not at 3 months. HbA1c remained stable, with no differences at 3 months between the intervention group and the control group. MED had a positive, short-term impact on adherence, which did not translate to improvements in HbA1c. Future research should explore the longer-term impact of SMS/IVR interventions on the medication adherence of high risk adults with T2DM.

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Meer informatie

Adams, A. S., Banerjee, S., & Ku, C. J. (2015). Medication adherence and racial differences in diabetes in the USA: An update. Diabetes Management (Lond), 5, 79–87. CrossRef

Aikens, J. E., & Piette, J. D. (2013). Longitudinal association between medication adherence and glycaemic control in type 2 diabetes. Diabetic Medicine, 30, 338–344. doi: 10.1111/dme.12046 CrossRefPubMedPubMedCentral

Blondon, K. S., Hebert, P. L., & Ralston, J. D. (2014). An exploration of the potential reach of smartphones in diabetes. In Paper presented at the AMIA annual symposium proceedings.

Duggan, M. (2013). Cell phone activities 2013. In Pew Research Center’s Internet and American Life Project. Washington, D.C.: Pew Research Center. Retrieved from http://www.pewinternet.org/files/old-media/Files/Reports/2013/PIP_Cell%20Phone%20Activities%20May%202013.pdf

Farmer, A., Kinmonth, A. L., & Sutton, S. (2006). Measuring beliefs about taking hypoglycaemic medication among people with type 2 diabetes. Diabetic Medicine, 23, 265–270. CrossRefPubMed

Glasgow, R. E., Christiansen, S. M., Kurz, D., King, D. K., Woolley, T., Faber, A. J., et al. (2011). Engagement in a diabetes self-management website: usage patterns and generalizability of program use. Journal of Medical Internet Research, 13, e9. doi: 10.2196/jmir.1391v13i1e9 CrossRefPubMedPubMedCentral

Harrell, F. (2015). Regression modeling strategies: With applications to linear models, logistic and ordinal regression, and survival analysis (2nd ed.). Berlin: Springer. CrossRef

Holtz, B., & Lauckner, C. (2012). Diabetes management via mobile phones: A systematic review. Telemedicine and e-Health, 18, 175–184. doi: 10.1089/tmj.2011.0119 CrossRefPubMed

Karve, S., Cleves, M. A., Helm, M., Hudson, T. J., West, D. S., & Martin, B. C. (2009). Good and poor adherence: Optimal cut-point for adherence measures using administrative claims data. Current Medical Research and Opinion, 25, 2303–2310. doi: 10.1185/03007990903126833 CrossRefPubMed

Katz, R., Mesfin, T., & Barr, K. (2012). Lessons from a community-based mHealth diabetes self-management program: “It’s not just about the cell phone”. Journal of Health Communication, 17, 67–72. doi: 10.1080/10810730.2012.650613 CrossRefPubMed

Kirkman, M. S., Rowan-Martin, M. T., Levin, R., Fonseca, V. A., Schmittdiel, J. A., Herman, W. H., et al. (2015). Determinants of adherence to diabetes medications: Findings from a large pharmacy claims database. Diabetes Care, 38, 604–609. doi: 10.2337/dc14-2098 PubMedPubMedCentral

Lau, D. T., & Nau, D. P. (2004). Oral antihyperglycemic medication nonadherence and subsequent hospitalization among individuals with type 2 diabetes. Diabetes Care, 27, 2149–2153. CrossRefPubMed

Mayberry, L. S., Gonzalez, J. S., Wallston, K. A., Kripalani, S., & Osborn, C. Y. (2013). The ARMS-D out performs the SDSCA, but both are reliable, valid, and predict glycemic control. Diabetes Research and Clinical Practice, 102, 96–104. doi: 10.1016/j.diabres.2013.09.010 CrossRefPubMedPubMedCentral

McInnes, D. K., Li, A. E., & Hogan, T. P. (2013). Opportunities for engaging low-income, vulnerable populations in health care: A systematic review of homeless persons’ access to and use of information technologies. American Journal of Public Health, 103, e11–e24. CrossRefPubMedPubMedCentral

McPherson, M. L., Smith, S. W., Powers, A., & Zuckerman, I. H. (2008). Association between diabetes patients’ knowledge about medications and their blood glucose control. Research in Social and Administrative Pharmacy, 4, 37–45. CrossRefPubMed

Mulvaney, S. A., Anders, S., Smith, A. K., Pittel, E. J., & Johnson, K. B. (2012). A pilot test of a tailored mobile and web-based diabetes messaging system for adolescents. Journal of Telemedicine and Telecare, 18, 115–118. doi: 10.1258/jtt.2011.11100618/2/115 CrossRefPubMedPubMedCentral

Mulvaney, S. A., Hood, K. K., Schlundt, D. G., Osborn, C. Y., Johnson, K. B., Rothman, R. L., et al. (2011). Development and initial validation of the barriers to diabetes adherence measure for adolescents. Diabetes Research and Clinical Practice, 94, 77–83. doi: 10.1016/j.diabres.2011.06.010 CrossRefPubMedPubMedCentral

Nelson, L. A., Coston, T. D., Cherrington, A. L., & Osborn, C. Y. (2016). Patterns of user engagement with mobile- and web-delivered self-care interventions for adults with T2DM: A review of the literature. Current Diabetes Reports, 16, 66. doi: 10.1007/s11892-016-0755-1 CrossRefPubMed

Nelson, L. A., Mulvaney, S. A., Gebretsadik, T., Ho, Y. X., Johnson, K. B., & Osborn, C. Y. (2015). Disparities in the use of a mHealth medication adherence promotion intervention for low-income adults with type 2 diabetes. Journal of the American Medical Informatics Association. doi: 10.1093/jamia/ocv082 PubMedCentral

Ogedegbe, G., Mancuso, C. A., Allegrante, J. P., & Carlson, M. E. (2003). Development and evaluation of a medication adherence self-efficacy scale in hyptertensive African-American patients. Journal of Clinical Epidemiology, 56, 520–529. CrossRefPubMed

Osborn, C. Y., & Mulvaney, S. A. (2013). Development and feasibility of a text messaging and interactive voice response intervention for low-income, diverse adults with type 2 diabetes mellitus. Journal of Diabetes Science and Technology, 7, 612–622. CrossRefPubMedPubMedCentral

Sapkota, S., Brien, J. A., Greenfield, J., & Aslani, P. (2015). A systematic review of interventions addressing adherence to anti-diabetic medications in patients with type 2 diabetes: Impact on adherence. PLoS One, 10, e0118296. doi: 10.1371/journal.pone.0118296 CrossRefPubMedPubMedCentral

Toobert, D. J., Hampson, S. E., & Glasgow, R. E. (2000). The summary of diabetes self-care activities measure: Results from 7 studies and a revised scale. Diabetes Care, 23, 943–950. CrossRefPubMed

Titel: The MEssaging for Diabetes (MED) intervention improves short-term medication adherence among low-income adults with type 2 diabetes
Auteurs:: Lyndsay A. Nelson
Shelagh A. Mulvaney
Tebeb Gebretsadik
Kevin B. Johnson
Chandra Y. Osborn
Publicatiedatum: 03-08-2016
DOI: https://doi.org/10.1007/s10865-016-9774-2
Uitgeverij: Springer US
Tijdschrift: Journal of Behavioral Medicine
Uitgave 6/2016
Print ISSN: 0160-7715
Elektronisch ISSN: 1573-3521

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