- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT02828995
Evaluating the Influence of Diabetes Stigma on Medication Adherence (ENDSTIGMA)
Study Overview
Status
Conditions
Intervention / Treatment
Detailed Description
Diabetes mellitus (DM) is a chronic condition affecting an estimated 422 million adults worldwide and 28.9 million adults in the US. DM can lead to increased risk of mortality and significant complications including amputation, blindness, cardiovascular disease, and kidney damage. The risk of developing these outcomes can be mediated by early diagnosis and treatment, such as by patient self-management by lifestyle changes and/or taking medication. However, outcome improvement depends on control of blood glucose levels, which in turn depend on adherence to treatment. Several psychosocial factors are known to affect treatment adherence for chronic conditions, one of which is stigma.
Stigma arises when social norms result in the marginalization of people with a certain identity or trait. Negative stereotypes of people in the stigmatized group result in their systematic exclusion and/or discrimination. Chronic disease diagnosis itself can lead to the development of disease-specific identity-based stigma, in that a person's identity is disrupted by a new label (e.g. "diabetic") applied to them, until they incorporate this new label into a positive sense of self. Minority stress theory describes the impact of identity-based marginalization on health outcomes. According to minority stress theory, discrimination and stigma may lead to heightened stress levels, which can translate over time into heightened mental and physical health disparities for the stigmatized group. Categories of stigma experienced by patients include enacted stigma, perceived stigma, self-stigma, and concealment. Enacted stigma refers to acts of discrimination against people in a stigmatized group. Perceived stigma refers both to the fear of experiencing enacted stigma, as well as to the shame resulting from belonging to or being associated with a stigmatized group. Self-stigma refers to the internalization of negative group stereotypes by members of the stigmatized group. Concealment, also called non-disclosure, refers to the hiding of a stigmatized identity or condition.
Stigma has been shown to negatively affect access to care as well as quality of life in people living with chronic diseases. Disease-specific stigma scales have been developed for various conditions, including mental illness, HIV/AIDS, epilepsy, and obesity. These scales have been used to facilitate interventions to minimize negative effects of stigma on health behaviors and outcomes. In comparison to other health conditions, diabetes stigma has only recently emerged as a research topic of interest.
DM has been reported to be a health condition that is relatively less stigmatized in comparison to other conditions. One publication suggested in its introduction that "diabetes does not appear to have associated stigma." As such, there have been publications comparing the degree of stigma experienced by DM patients with those with conditions such as schizophrenia, dementia, HIV, depression, and hypertension. However, numerous qualitative studies interviewing people with diabetes have revealed that DM patients do experience significant disease-related stigma.
In the literature, DM-related enacted stigma examples include workplace discrimination (decreased chance of being hired and increased chance of job loss); threatened or actual termination of romantic relationships; and judgmental behavior from healthcare professionals. Likewise, examples of perceived stigma include fear of being characterized as an illicit drug user when injecting insulin in public; and feelings of isolation when choosing to eat different foods, particularly in family and cultural situations. Self-stigma and concealment examples include avoidance of social events; timing self-management so it can be done in isolation; and altering blood glucose recordings, so as to appear "healthy."
Despite ample evidence of the existence of DM-specific stigma, limited attempts have been made to measure it. The Diabetes Distress Scale (DDS) was designed to measure "emotional burden, physician-related distress, regimen-related distress, and…interpersonal distress" associated with DM. However, the DDS does not comprehensively measure all the types of stigma minority stress theory has shown to contribute to chronic disease health disparities. The Barriers to Diabetes Adherence measure includes six questions about stigma, but the scope of these questions was limited and targeted towards an adolescent population with Type 1 DM. A limited number of previous publications have adapted disease-specific stigma scales from other conditions or developed their own questionnaires for said conditions for their diabetes stigma research needs. To date, only one publication has developed and validated a stigma scale specifically for DM patients, and this measure only addressed self-stigma. Therefore, to our knowledge, there is currently no scale that measures multiple facets of DM-specific stigma that may be contributing to sub-optimal patient diabetes self-management. Given the relationship between stigma, treatment adherence, and adverse health outcomes for chronic disease patients, development of a comprehensive DM stigma scale may lead to improvements in DM patient centered care, which will be addressed by the following Specific Aims:
Specific Aims
- Develop a novel quantitative measure that comprehensively measures enacted stigma, perceived stigma, and self-stigma and concealment specific to adult DM patients
- Pilot the measure with 30-50 DM patients
- Validate the measure and determine if DM stigma is associated with obesity, diabetes type, insulin use, and/or is predictive of medication adherence
Study Type
Enrollment (Actual)
Contacts and Locations
Study Locations
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Tennessee
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Nashville, Tennessee, United States, 37232-2372
- Vanderbilt University Medical Center
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Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Sampling Method
Study Population
Description
Inclusion Criteria:
- 18 years of age or older
- Type I or II DM for at least 1 year
- Taking at least 1 medication to manage diabetes
Exclusion Criteria:
- Under 18 years of age
- Non-English speaking
Study Plan
How is the study designed?
Design Details
- Observational Models: Case-Only
- Time Perspectives: Cross-Sectional
Cohorts and Interventions
Group / Cohort |
Intervention / Treatment |
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Comprehensive Diabetes Stigma Survey
Participants in the END STIGMA study will be adult patients who have been receiving diabetes-related medical care for a minimum of 12 months in the Vanderbilt University Medical Center Diabetes Clinic and who take at least 1 medication to manage their diabetes.
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The surveys to be administered in the ENDSTIGMA study are as follows:
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What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Diabetes Stigma
Time Frame: Baseline
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The composite stigma score from the Comprehensive Diabetes Stigma Survey measure will be calculated from patient survey responses.
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Baseline
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Diabetes Medication Adherence
Time Frame: Baseline
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The composite diabetes medication adherence score will be calculated from patient responses to the Adherence to Refills and Medications Scale - Diabetes (ARMS-D) survey.
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Baseline
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Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Diabetes Patient Height (in Inches)
Time Frame: Baseline
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Self-Report of Diabetes Patient Height
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Baseline
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Diabetes Patient Weight (in Pounds)
Time Frame: Baseline
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Self-Report of Diabetes Patient Weight
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Baseline
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Collaborators and Investigators
Investigators
- Principal Investigator: Kerri Cavanaugh, MD/MHS, Vanderbilt University Medical Center
Publications and helpful links
General Publications
- Borson S, Scanlan J, Brush M, Vitaliano P, Dokmak A. The mini-cog: a cognitive 'vital signs' measure for dementia screening in multi-lingual elderly. Int J Geriatr Psychiatry. 2000 Nov;15(11):1021-7. doi: 10.1002/1099-1166(200011)15:113.0.co;2-6.
- Polonsky WH, Fisher L, Earles J, Dudl RJ, Lees J, Mullan J, Jackson RA. Assessing psychosocial distress in diabetes: development of the diabetes distress scale. Diabetes Care. 2005 Mar;28(3):626-31. doi: 10.2337/diacare.28.3.626.
- Meyer IH. Prejudice, social stress, and mental health in lesbian, gay, and bisexual populations: conceptual issues and research evidence. Psychol Bull. 2003 Sep;129(5):674-697. doi: 10.1037/0033-2909.129.5.674.
- World Health Organization. Global report on diabetes. Geneva: World Health Organization, 2016.
- Centers for Disease Control and Prevention. National Diabetes Statistics Report: Estimates of Diabetes and Its Burden in the United States, 2014. Atlanta: U.S. Department of Health and Human Services, 2014.
- Stolar M. Glycemic control and complications in type 2 diabetes mellitus. Am J Med. 2010 Mar;123(3 Suppl):S3-11. doi: 10.1016/j.amjmed.2009.12.004.
- Egede LE, Gebregziabher M, Echols C, Lynch CP. Longitudinal effects of medication nonadherence on glycemic control. Ann Pharmacother. 2014 May;48(5):562-70. doi: 10.1177/1060028014526362. Epub 2014 Feb 28.
- Kato A, Fujimaki Y, Fujimori S, Isogawa A, Onishi Y, Suzuki R, Yamauchi T, Ueki K, Kadowaki T, Hashimoto H. Association between self-stigma and self-care behaviors in patients with type 2 diabetes: a cross-sectional study. BMJ Open Diabetes Res Care. 2016 Jan 5;4(1):e000156. doi: 10.1136/bmjdrc-2015-000156. eCollection 2016.
- Link BG, Phelan JC. Conceptualizing stigma. Annu Rev Sociol. 2001;27:363-85.
- Laws MB. Explanatory Models and Illness Experience of People Living with HIV. AIDS Behav. 2016 Sep;20(9):2119-29. doi: 10.1007/s10461-016-1358-1.
- Goldman JB, Maclean HM. The significance of identity in the adjustment to diabetes among insulin users. Diabetes Educ. 1998 Nov-Dec;24(6):741-8. doi: 10.1177/014572179802400610.
- Abdoli S, Ashktorab T, Ahmadi F, Parvizy S, Dunning T. Seeking new identity through the empowerment process. Iran J Nurs Midwifery Res. 2014 Mar;19(2):145-51.
- Mirowsky J, Ross CE. Social Causes of Psychological Distress. NY: Aldine de Gruyter; 1989.
- Pearlin LI. The sociological study of stress. J Health Soc Behav. 1989 Sep;30(3):241-56.
- Lick DJ, Durso LE, Johnson KL. Minority Stress and Physical Health Among Sexual Minorities. Perspect Psychol Sci. 2013 Sep;8(5):521-48. doi: 10.1177/1745691613497965.
- Scambler G, Hopkins A. Being epileptic: Coming to terms with stigma. Sociol Health Illn. 1986;8:26-43.
- Corrigan PW, Watson AC. The paradox of self-stigma and mental illness. Clin Psychol. 2002;9:35-53
- Joachim G, Acorn S. Stigma of visible and invisible chronic conditions. J Adv Nurs. 2000 Jul;32(1):243-8. doi: 10.1046/j.1365-2648.2000.01466.x.
- Earnshaw VA, Quinn DM. The impact of stigma in healthcare on people living with chronic illnesses. J Health Psychol. 2012 Mar;17(2):157-68. doi: 10.1177/1359105311414952. Epub 2011 Jul 28.
- Boyd JE, Adler EP, Otilingam PG, Peters T. Internalized Stigma of Mental Illness (ISMI) scale: a multinational review. Compr Psychiatry. 2014 Jan;55(1):221-31. doi: 10.1016/j.comppsych.2013.06.005. Epub 2013 Sep 21.
- Berger BE, Ferrans CE, Lashley FR. Measuring stigma in people with HIV: psychometric assessment of the HIV stigma scale. Res Nurs Health. 2001 Dec;24(6):518-29. doi: 10.1002/nur.10011.
- Fernandes PT, Salgado PC, Noronha AL, Sander JW, Li LM. Stigma Scale of Epilepsy: validation process. Arq Neuropsiquiatr. 2007 Jun;65 Suppl 1:35-42. doi: 10.1590/s0004-282x2007001000006.
- Lillis J, Luoma JB, Levin ME, Hayes SC. Measuring weight self-stigma: the weight self-stigma questionnaire. Obesity (Silver Spring). 2010 May;18(5):971-6. doi: 10.1038/oby.2009.353. Epub 2009 Oct 15.
- Schabert J, Browne JL, Mosely K, Speight J. Social stigma in diabetes : a framework to understand a growing problem for an increasing epidemic. Patient. 2013;6(1):1-10. doi: 10.1007/s40271-012-0001-0.
- Fernandes PT, Salgado PC, Noronha AL, Barbosa FD, Souza EA, Sander JW, Li LM. Prejudice towards chronic diseases: comparison among epilepsy, AIDS and diabetes. Seizure. 2007 Jun;16(4):320-3. doi: 10.1016/j.seizure.2007.01.008. Epub 2007 Feb 22.
- Lee S, Lee MT, Chiu MY, Kleinman A. Experience of social stigma by people with schizophrenia in Hong Kong. Br J Psychiatry. 2005 Feb;186:153-7. doi: 10.1192/bjp.186.2.153.
- Woo BK, Mehta P. Examining the differences in the stigma of dementia and diabetes among Chinese Americans. Geriatr Gerontol Int. 2017 May;17(5):760-764. doi: 10.1111/ggi.12782. Epub 2016 May 2.
- Roeloffs C, Sherbourne C, Unutzer J, Fink A, Tang L, Wells KB. Stigma and depression among primary care patients. Gen Hosp Psychiatry. 2003 Sep-Oct;25(5):311-5. doi: 10.1016/s0163-8343(03)00066-5.
- Browne JL, Ventura A, Mosely K, Speight J. 'I'm not a druggie, I'm just a diabetic': a qualitative study of stigma from the perspective of adults with type 1 diabetes. BMJ Open. 2014 Jul 23;4(7):e005625. doi: 10.1136/bmjopen-2014-005625.
- Browne JL, Ventura A, Mosely K, Speight J. 'I call it the blame and shame disease': a qualitative study about perceptions of social stigma surrounding type 2 diabetes. BMJ Open. 2013 Nov 18;3(11):e003384. doi: 10.1136/bmjopen-2013-003384.
- Tak-Ying Shiu A, Kwan JJ, Wong RY. Social stigma as a barrier to diabetes self-management: implications for multi-level interventions. J Clin Nurs. 2003 Jan;12(1):149-50. doi: 10.1046/j.1365-2702.2003.00735.x. No abstract available.
- Nebiker-Pedrotti PM, Keller U, Iselin HU, Ruiz J, Parli K, Caplazi A, Puder JJ. Perceived discrimination against diabetics in the workplace and in work-related insurances in Switzerland. Swiss Med Wkly. 2009 Feb 21;139(7-8):103-9.
- Hopper S. Diabetes as a stigmatized condition: the case of low-income clinic patients in the United States. Soc Sci Med Med Anthropol. 1981 Jan;15B(1):11-9. doi: 10.1016/0160-7987(81)90004-1. No abstract available.
- Kumar K, Greenfield S, Raza K, Gill P, Stack R. Understanding adherence-related beliefs about medicine amongst patients of South Asian origin with diabetes and cardiovascular disease patients: a qualitative synthesis. BMC Endocr Disord. 2016 May 26;16(1):24. doi: 10.1186/s12902-016-0103-0.
- Broom D, Whittaker A. Controlling diabetes, controlling diabetics: moral language in the management of diabetes type 2. Soc Sci Med. 2004 Jun;58(11):2371-82. doi: 10.1016/j.socscimed.2003.09.002.
- Mulvaney SA, Hood KK, Schlundt DG, Osborn CY, Johnson KB, Rothman RL, Wallston KA. Development and initial validation of the barriers to diabetes adherence measure for adolescents. Diabetes Res Clin Pract. 2011 Oct;94(1):77-83. doi: 10.1016/j.diabres.2011.06.010. Epub 2011 Jul 7.
- Kato A, Takada M, Hashimoto H. Reliability and validity of the Japanese version of the self-stigma scale in patients with type 2 diabetes. Health Qual Life Outcomes. 2014 Dec 12;12:179. doi: 10.1186/s12955-014-0179-z.
- Mayberry LS, Gonzalez JS, Wallston KA, Kripalani S, Osborn CY. The ARMS-D out performs the SDSCA, but both are reliable, valid, and predict glycemic control. Diabetes Res Clin Pract. 2013 Nov;102(2):96-104. doi: 10.1016/j.diabres.2013.09.010. Epub 2013 Sep 26.
- Nam S, Chesla C, Stotts NA, Kroon L, Janson SL. Barriers to diabetes management: patient and provider factors. Diabetes Res Clin Pract. 2011 Jul;93(1):1-9. doi: 10.1016/j.diabres.2011.02.002. Epub 2011 Mar 5.
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Actual)
Study Completion (Actual)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Estimate)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- 160986
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
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