Adherence to Preventive Medications
Open accessAbstract
OBJECTIVE—To evaluate barriers to and strategies for medication adherence and predictors of adherence and the primary outcome in the Diabetes Prevention Program (DPP). RESEARCH DESIGN AND METHODS—Within a randomized, controlled primary prevention study for type 2 diabetes, we collected data on study medication adherence, its predictors, and health outcomes in 27 clinical centers across mainland U.S. and Hawaii. Medication arm participants included 2,155 adults with impaired glucose tolerance randomly assigned to either metformin or matched placebo treatment arms. Structured interviews were used to promote medication adherence and to collect data regarding adherence. Adherence was measured by pill count. The primary DPP outcome of type 2 diabetes was assessed by fasting plasma glucose and oral glucose tolerance test. RESULTS—Older age-groups were more adherent than the youngest group (P = 0.01) in the metformin group. The most frequently reported barrier to adherence was “forgetting” (22%). Women reported more adverse effects of metformin (15 vs. 10%, P = 0.002) in the metformin group. Odds of nonadherence increased as participants reported more than one barrier (odds ratio 19.1, P < 0.001). Odds of adherence increased as participants reported multiple strategies to take medication (2.69, P < 0.0001). There was a 38.2% risk reduction for developing diabetes for those adherent to metformin compared with those adherent to placebo (P < 0.0003). CONCLUSIONS—DPP medication adherence results are unique in primary prevention for a chronic disease in a large multiethnic sample. Our finding that adherence was associated with risk reduction for diabetes supports the development of brief interventions in clinical settings where medication adherence is a challenge.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
A greater degree of adherence to medication is associated with effective therapeutic regimens for cure, compared to treatments aimed at prevention.
“A greater degree of adherence to medication is associated with effective therapeutic regimens for cure, as compared to treatments aimed at prevention.7, 8”
From An Adaptable Framework for Factors Contributing to Medication Adherence: Results from a Systematic Review of 102 Conceptual Frameworks (2021) · cites this paper as [7]
Cites
Reduction in the incidence of type 2 diabetes with lifestyle intervention or metformin
(2002) · New England Journal of Medicine · doi:10.1056/nejmoa012512 · Cited by 19,011 · see citing works
Osterberg, L., & Blaschke, T. (2005) · New England Journal of Medicine · doi:10.1056/nejmra050100 · Cited by 7,974 · see citing works
DiMatteo, M. R. (2004) · Medical Care · doi:10.1097/01.mlr.0000114908.90348.f9 · Cited by 2,169 · see citing works
The Diabetes Prevention Program (DPP)
The Diabetes Prevention Program (DPP) Research Group (2002) · Diabetes Care · doi:10.2337/diacare.25.12.2165 · Cited by 1,938 · see citing works
Patient Adherence and Medical Treatment Outcomes: A Meta-Analysis
Robin DiMatteo, M., Giordani, P. J., Lepper, H. S., & Croghan, T. W. (2002) · Medical Care · doi:10.1097/00005650-200209000-00009 · Cited by 1,490 · see citing works
The Diabetes Prevention Program Research Group (2005) · Diabetes · doi:10.2337/diabetes.54.8.2404 · Cited by 446 · see citing works
Medication compliance and older people: a review of the literature
Ryan, A. A. (1999) · International Journal of Nursing Studies · doi:10.1016/s0020-7489(99)00003-6 · Cited by 113 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
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 · see citing works
Interventions for enhancing medication adherence
Haynes, R. B., Ackloo, E., Sahota, N., McDonald, H. P., & Yao, X. (2008) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd000011.pub3 · Cited by 1,244 · see citing works
Sex differences in type 2 diabetes
Kautzky-Willer, A., Leutner, M., & Harreiter, J. (2023) · Diabetologia · doi:10.1007/s00125-023-05891-x · Cited by 624 · see citing works
Vervloet, M., Linn, A. J., van Weert, J. C. M., de Bakker, D. H., Bouvy, M. L., & van Dijk, L. (2012) · Journal of the American Medical Informatics Association · doi:10.1136/amiajnl-2011-000748 · Cited by 455 · see citing works
The prevention of type 2 diabetes
F. T. D. P. P. R. G., Crandall, J. P., Knowler, W. C., Kahn, S. E., Marrero, D., Florez, J. C., Bray, G. A., Haffner, S. M., Hoskin, M., & Nathan, D. M. (2008) · Nature Clinical Practice Endocrinology & Metabolism · doi:10.1038/ncpendmet0843 · Cited by 261 · see citing works
Self-citationMedication Adherence in Type 2 Diabetes: The ENTRED Study 2007, a French Population-Based Study
Tiv, M., Viel, J.-F., Mauny, F., Eschwège, E., Weill, A., Fournier, C., Fagot-Campagna, A., & Penfornis, A. (2012) · PLoS ONE · doi:10.1371/journal.pone.0032412 · Cited by 245 · see citing works
Vervloet, M., van Dijk, L., Santen-Reestman, J., van Vlijmen, B., van Wingerden, P., Bouvy, M. L., & de Bakker, D. H. (2012) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2012.05.005 · Cited by 215 · see citing works
Sex differences in type 2 diabetes: focus on disease course and outcomes
Arnetz, L., Rajamand Ekberg, N., & Alvarsson, M. (2014) · Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy · doi:10.2147/dmso.s51301 · Cited by 175 · see citing works
Peh, K. Q. E., Kwan, Y. H., Goh, H., Ramchandani, H., Phang, J. K., Lim, Z. Y., Loh, D. H. F., Østbye, T., Blalock, D. V., Yoon, S., et al. (2021) · Journal of General Internal Medicine · doi:10.1007/s11606-021-06648-1 · Cited by 151 · see citing works
Tinker, L. F., Sarto, G. E., Howard, B. V., Huang, Y., Neuhouser, M. L., Mossavar-Rahmani, Y., Beasley, J. M., Margolis, K. L., Eaton, C. B., Phillips, L. S., et al. (2011) · The American Journal of Clinical Nutrition · doi:10.3945/ajcn.111.018648 · Cited by 122 · see citing works
Chiu, C.-J., & Wray, L. A. (2011) · Annals of Behavioral Medicine · doi:10.1007/s12160-010-9226-0 · Cited by 84 · see citing works
Effect of gender on treatment outcomes in type 2 diabetes mellitus
McGill, J. B., Vlajnic, A., Knutsen, P. G., Recklein, C., Rimler, M., & Fisher, S. J. (2013) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2013.10.001 · Cited by 61 · see citing works
Campesi, I., Seghieri, G., & Franconi, F. (2021) · Current Opinion in Pharmacology · doi:10.1016/j.coph.2021.06.007 · Cited by 25 · see citing works
- Authors
- Walker, E. A., Molitch, M., Kramer, M. K., Kahn, S., Ma, Y., Edelstein, S., Smith, K., Johnson, M. K., Kitabchi, A., Crandall, J., & for the Diabetes Prevention Program Research Group
- Affiliations
- Albert Einstein College of Medicine (US)
- Northwestern University (US)
- University of Pittsburgh (US)
- University of Washington (US)
- George Washington University (US)
- Thomas Jefferson University (US)
- University of Memphis (US)
- ORCID
- Venue
- Diabetes Care
- Publisher
- American Diabetes Association
- Published
- 2006-09-01
- Volume
- 29
- Issue
- 9
- Pages
- 1997-2002
- ISSN
- 0149-5992 (ISSN-L)
- 1935-5548
- PMC
- PMC1762037
- OpenAlex
- W2159611971
- Cited by
- 161
- References
- 7
- Citations by year
- 2026: 4 · 2025: 3 · 2024: 6 · 2023: 3 · 2022: 3 · 2021: 7 · 2020: 9 · 2019: 4 · 2018: 6 · 2017: 6 · 2016: 8 · 2015: 10 · 2014: 11 · 2013: 12 · 2012: 9
- FWCI
- 7.24
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Diabetes Care (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- American Diabetes Association
- Bristol-Myers Squibb
- Henry M. Jackson Foundation
- National Institutes of Health
- Centers for Disease Control and Prevention
- National Institute on Aging
- National Institute of Diabetes and Digestive and Kidney Diseases (U01DK048489)
- National Institute of Child Health and Human Development
- National Center for Research Resources
- National Institute on Minority Health and Health Disparities
- Office of Women's Health
- Topics
- Health Sciences › Medicine › Family Practice › Medication Adherence and Compliance
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Education
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Treatment and Management
- Keywords
- medication adherence, metformin, type 2 diabetes prevention, impaired glucose tolerance, barriers to adherence, adherence strategies, predictors of adherence, adverse drug reactions, primary prevention, brief intervention, age differences in adherence, sex differences in adherence
- MeSH terms
- Adult, Aged, Aged, 80 and over, Blood Glucose, Diabetes Mellitus, Type 2, Female, Glucose Tolerance Test, Humans, Hypoglycemic Agents, Male, Metformin, Middle Aged, Patient Compliance, Prognosis, Logistic Models, Odds Ratio, Treatment Outcome
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review