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Gepubliceerd in:

09-04-2016

Measuring insulin adherence among adults with type 2 diabetes

Auteurs: Chandra Y. Osborn, Jeffery S. Gonzalez

Gepubliceerd in: Journal of Behavioral Medicine | Uitgave 4/2016

Abstract

Non-adherence to insulin is common and associated with suboptimal health. We adapted the Morisky Medication Adherence Scale to specify insulin adherence (MIAS) and compared it to the Adherence to Refills and Medication Scale for Diabetes (ARMS-D) and the Summary of Diabetes Self-Care Activities medications subscale (SDSCA-MS) and an insulin-specific (SDSCA-IS) version. A sample of 144 insulin-treated adults (58 % African American/Black, 34 % Caucasian/White, 8 % Other/Mixed race; 6.9 % Hispanic) completed these measures along with a HbA_1C test. The internal consistency and factor structure of the MIAS were adequate; 59 % of participants forgot to take insulin and 46 % reported non-adherence. The MIAS was associated with the ARMS-D, SDSCA-MS, and SDSCA-IS (p < 0.001), and higher MIAS scores were marginally associated with better self-rated health (p = 0.057), but significantly associated with fewer emergency room visits (p = 0.001), and better HbA_1C (p = 0.001). The MIAS is a valid and reliable insulin adherence assessment tool for practice and research applications.

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Al-Qazaz, H., Hassali, M. A., Shafie, A. A., et al. (2010). The eight-item Morisky Medication Adherence Scale MMAS: translation and validation of the Malaysian version. Diabetes Research and Clinical Practice, 90, 216–221.CrossRefPubMedPubMedCentral

Baek, R. N., Tanenbaum, M. L., & Gonzalez, J. S. (2014). Diabetes burden and diabetes distress: the buffering effect of social support. Annals of Behavioral Medicine, 48, 145–155.CrossRefPubMedPubMedCentral

Balkrishnan, R., Rajagopalan, R., Camacho, F. T., et al. (2003). Predictors of medication adherence and associated health care costs in an older population with type 2 diabetes mellitus: a longitudinal cohort study. Clinical Therapeutics, 25, 2958–2971.CrossRefPubMed

Chung, W. W., Chua, S. S., Lai, P. S., et al. (2015). The Malaysian Medication Adherence Scale (MALMAS): Concurrent validity using a clinical measure among people with type 2 diabetes in Malaysia. PLoS ONE, 10, e0124275.CrossRefPubMedPubMedCentral

Cramer, J. A. (2004). A systematic review of adherence with medications for diabetes. Diabetes Care, 27, 1218–1224.CrossRefPubMed

Cramer, J. A., & Pugh, M. J. (2005). The influence of insulin use on glycemic control: How well do adults follow prescriptions for insulin? Diabetes Care, 28, 78–83.CrossRefPubMed

Davies, M. J., Gagliardino, J. J., Gray, L. J., et al. (2013). Real-world factors affecting adherence to insulin therapy in patients with Type 1 or Type 2 diabetes mellitus: a systematic review. Diabetic Medicine, 30, 512–524.CrossRefPubMed

DeVellis, R. (1991). Scale development. Theory and applications. Newbury Park, CA: Sage.

DiBonaventura, M., Wintfeld, N., Huang, J., et al. (2014). The association between nonadherence and glycated hemoglobin among type 2 diabetes patients using basal insulin analogs. Patient Prefer Adherence, 8, 873–882.CrossRefPubMedPubMedCentral

Driscoll, K. A., & Young-Hyman, D. (2014). Use of technology when assessing adherence to diabetes self-management behaviors. Current Diabetes Reports, 14, 521.CrossRefPubMed

Egede, L. E., Gebregziabher, M., Hunt, K. J., et al. (2011). Regional, geographic, and ethnic differences in medication adherence among adults with type 2 diabetes. Annals of Pharmacotherapy, 45, 169–178.PubMed

Feldman, B. S., Cohen-Stavi, C. J., Leibowitz, M., et al. (2014). Defining the role of medication adherence in poor glycemic control among a general adult population with diabetes. PLoS ONE, 9, e108145.CrossRefPubMedPubMedCentral

Gonzalez, J. S., Safren, S. A., Cagliero, E., et al. (2007). Depression, self-care, and medication adherence in type 2 diabetes: relationships across the full range of symptom severity. Diabetes Care, 30, 2222–2227.CrossRefPubMedPubMedCentral

Gonzalez, J. S., & Schneider, H. E. (2011). Methodological issues in the assessment of diabetes treatment adherence. Current Diabetes Reports, 11, 472–479.CrossRefPubMed

Gonzalez, J. S., Schneider, H. E., Wexler, D. J., et al. (2013). Validity of medication adherence self-reports in adults with type 2 diabetes. Diabetes Care, 36, 831–837.CrossRefPubMedPubMedCentral

Gonzalez, J. S., Shreck, E., Psaros, C., et al. (2015). Distress and type 2 diabetes-treatment adherence: A mediating role for perceived control. Health Psychology, 34, 505–513.CrossRefPubMed

Graham, J. (2009). Missing data analysis: making it work in the real world. Annual Review of Psychology, 60, 549–576S.CrossRefPubMed

Graham, J., Olchowski, A., & Gilreath, T. (2007). How many imputations are really needed? Some practical clarifications of multiple imputation theory. Prevention Science, 8, 206–213.CrossRefPubMed

Graham, J., & Schafer, J. (1999). On the performance of multiple imputation for multivariate data with small sample sizes. In R. Hoyle (Ed.), Statistical strategies for small sample research (pp. 1–29). Thousand Oaks, CA: Sage.

Ho, P. M., Rumsfeld, J. S., Masoudi, F. A., et al. (2006). Effect of medication nonadherence on hospitalization and mortality among patients with diabetes mellitus. Archives of Internal Medicine, 166, 1836–1841.CrossRefPubMed

Houle, J., Beaulieu, M. D., Chiasson, J. L., et al. (2015). Glycaemic control and self-management behaviours in Type 2 diabetes: results from a 1-year longitudinal cohort study. Diabetic Medicine, 32, 1247–1254.CrossRefPubMed

Kennedy, L., & Herman, W. H. (2005). Glycated hemoglobin assessment in clinical practice: comparison of the A1cNow point-of-care device with central laboratory testing (GOAL A1C Study). Diabetes Technology & Therapeutics, 7, 907–912.CrossRef

Kripalani, S., Risser, J., Gatti, M. E., et al. (2009). Development and evaluation of the Adherence to Refills and Medications Scale (ARMS) among low-literacy patients with chronic disease. Value Health, 12, 118–123.CrossRefPubMed

Lerman, I., Diaz, J. P. M., Ibarguengoitia, M. E. R., et al. (2009). Nonadherence to insulin therapy in low-income, type 2 diabetic patients. Endocrine Practice, 15, 41–46.CrossRefPubMed

Loehlin, J. C. (2012). Latent variable models: An introduction to factor, path, and structural equation analysis. Hove: Psychology Press.

Mayberry, L. S., Gonzalez, J. S., Wallston, K. A., et al. (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.CrossRefPubMedPubMedCentral

Mayberry, L. S., & Osborn, C. Y. (2014). Empirical validation of the information-motivation-behavioral skills model of diabetes medication adherence: A framework for intervention. Diabetes Care, 37, 1246–1253.CrossRefPubMedPubMedCentral

Morisky, D. E., Ang, A., Krousel-Wood, M., et al. (2008). Predictive validity of a medication adherence measure in an outpatient setting. The Journal of Clinical Hypertension (Greenwich), 10, 348–354.CrossRef

Nunnally, J., Bernstein, I. H., & JMF Berge, J. M. F. (1994). Psychometric theory (3rd ed.). New York: McGraw-Hill.

Osborn, C. Y., Cavanaugh, K., Wallston, K. A., et al. (2011a). Health literacy explains racial disparities in diabetes medication adherence. J Health Commun, 16, 268–278.CrossRefPubMedPubMedCentral

Osborn, C. Y., Mayberry, L. S., Wagner, J. A., et al. (2014). Stressors may compromise medication adherence among adults with diabetes and low socioeconomic status. Western Journal of Nursing Research, 36, 1091–1110.CrossRefPubMedPubMedCentral

Osborn, C. Y., Patel, K. A., Liu, J., et al. (2011b). Diabetes and co-morbid depression among racially diverse, low-income adults. Annals of Behavioral Medicine, 41, 300–309.CrossRefPubMedPubMedCentral

Peyrot, M., Barnett, A. H., Meneghini, L. F., et al. (2012a). Factors associated with injection omission/non-adherence in the global attitudes of patients and physicians in insulin therapy study. Diabetes, Obesity & Metabolism, 14, 1081–1087.CrossRef

Peyrot, M., Barnett, A. H., Meneghini, L. F., et al. (2012b). Insulin adherence behaviours and barriers in the multinational global attitudes of patients and physicians in insulin therapy study. Diabetic Medicine, 29, 682–689.CrossRefPubMedPubMedCentral

Peyrot, M., Rubin, R. R., Kruger, D. F., et al. (2010). Correlates of insulin injection omission. Diabetes Care, 33, 240–245.CrossRefPubMedPubMedCentral

Piette, J. D., Wagner, T. H., Potter, M. B., et al. (2004). Health insurance status, cost-related medication underuse, and outcomes among diabetes patients in three systems of care. Medical Care, 42, 102–109.CrossRefPubMed

Raghunathan, T., Lepkowski, J., van Hoewyk, J., et al. (2001). A multivariate technique for multiply imputed missing values using a sequence of regression models. Survey Methodology, 27, 85–95.

Ross, S. A., Tildesley, H. D., & Ashkenas, J. (2011). Barriers to effective insulin treatment: the persistence of poor glycemic control in type 2 diabetes. Current Medical Research and Opinion, 27, 13–20.CrossRefPubMed

Rubin, R. R., Peyrot, M., Kruger, D. F., et al. (2009). Barriers to insulin injection therapy: patient and health care provider perspectives. The Diabetes Educator, 35, 1014–1022.CrossRefPubMed

Schectman, J. M., Nadkarni, M. M., & Voss, J. D. (2002). The association between diabetes metabolic control and drug adherence in an indigent population. Diabetes Care, 25, 1015–1021.CrossRefPubMed

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

van Buuren, S., Boxhuizen, H., & Knook, D. (1999). Multiple imputation of missing blood pressure covariates in survival analysis. Statistics in Medicine, 18, 681–694.CrossRefPubMed

VanVoorhis, C. R. W., & Morgan, B. L. (2007). Understanding power and rules of thumb for determining sample sizes. Tutorials in Quantitative Methods for Psychology, 3, 43–50.

Ware, J., Harrington, D., Hunter, D., et al. (2012). Missing data. New Engl J Med, 367, 1353–1354.CrossRef

Wong, M. C., Wu, C. H., Wang, H. H., et al. (2015). Association between the 8-item Morisky medication adherence scale (MMAS-8) score and glycaemic control among Chinese diabetes patients. The Journal of Clinical Pharmacology, 55(3), 279–287.CrossRefPubMed

Titel: Measuring insulin adherence among adults with type 2 diabetes
Auteurs: Chandra Y. Osborn
Jeffery S. Gonzalez
Publicatiedatum: 09-04-2016
Uitgeverij: Springer US
Gepubliceerd in: Journal of Behavioral Medicine / Uitgave 4/2016
Print ISSN: 0160-7715
Elektronisch ISSN: 1573-3521
DOI: https://doi.org/10.1007/s10865-016-9741-y

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