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. Author manuscript; available in PMC: 2019 Jul 1.
Published in final edited form as: Am J Geriatr Psychiatry. 2018 Mar 23;26(7):812–816. doi: 10.1016/j.jagp.2018.03.012

Health Beliefs and Medication Adherence in Blacks with Diabetes and Mild Cognitive Impairment

Barry W Rovner 1, Robin J Casten 2
PMCID: PMC6008206  NIHMSID: NIHMS954164  PMID: 29673896

Abstract

Objectives

To evaluate determinants of medication adherence and glycemic control in blacks with diabetes and Mild Cognitive Impairment (MCI).

Methods

Cross-sectional study of 143 participants with mean age of 68.8 (6.7) years; 66.4% were women.

Results

Eighty seven participants (60.8%) self-reported medication nonadherence; they had more negative beliefs about medicines, greater diabetes-related distress, and more difficulty with daily living activities and affording medications than adherent participants. There were no group differences in cognition, depressive symptoms, or glycemic control. Glycemic control negatively correlated with regimen distress, emotional burden, interpersonal distress, beliefs that physicians overprescribe medications, and beliefs that medications are harmful.

Conclusions

Beliefs about medications, diabetes-related distress, functional disability, and medication affordability are associated with medication nonadherence in blacks with diabetes and MCI. Interventions that respect personal health beliefs and compensate for impaired cognition may improve medication adherence and glycemic control in this population.

Keywords: Mild Cognitive Impairment, diabetes, medication adherence, health beliefs, blacks


Antihyperglycemic medications have not substantially improved glycemic control at the population level in recent years. Respective rates of adequate control (i.e., hemoglobin A1c levels less than 7.0%) have been 44.3% (1999 – 2002); 56.8% (2003 – 2006); and 52.2% (2007 – 2010).1 These low rates reflect, in part, obstacles to taking medications and account for persistently high rates of diabetes complications and costs. These problems affect blacks more than whites due to differences in education, health beliefs, access to care, and socioeconomic resources.2 There are now one million older blacks with DM in the U.S. and their number will double by 2030. This projected growth will increase the burden of diabetes in this population and necessitates culturally relevant treatment.

We are conducting a randomized controlled trial to test the efficacy of a home-based occupational therapy intervention to improve medication adherence and glycemic control in blacks with diabetes and mild cognitive impairment (MCI) [clinicaltrials.gov NCT02174562]. MCI is a transition state between normal cognitive aging and dementia that increases the risk for cognitive decline, and poorly controlled diabetes magnifies this risk.3 Screening for the clinical trial involved assessment of medical, psychosocial, cultural, affective, and cognitive factors that might influence medication adherence. The current study compares the characteristics of participants who reported taking and not taking medications as prescribed to identify obstacles to treatment.

Methods

Sample

Participants were 143 blacks over age 65 years with type 2 diabetes, MCI, and HbA1c ≥ 7.5% who were recruited from primary care practices of Thomas Jefferson University from 2015–2017. Institutional review board approval was obtained for this study and all participants provided informed consent.

Study Measures

Race-concordant community health workers conducted in-home assessments to obtain the following data.

1) Personal Characteristics

Age, sex, marital status, and years of education.

2) Clinical Characteristics

HbA1c level, medical diagnoses, prescription and nonprescription medications. The Patient Health Questionnaire-9 was used to assess level of depressive symptoms.4 The Activities of Daily Living–Prevention Instrument was used to assess self-reported level of difficulty completing 15 daily function activities (e.g., handling money, shopping); responses range from “no difficulty” (1) to “does not do this activity” (4).5 The National Alzheimer's Coordinating Center's Uniform Data Set neuropsychological test battery was used to assess cognition, and includes the Mini-Mental Status Examination (MMSE); Wechsler logical memory, immediate and delay; digit span forward/backward; digit symbol substitution; trail making tests A and B; category fluency, and the Boston Naming Test.6

3) Medication Adherence

Self-reported adherence was assessed with the Morisky Medication Adherence Scale, which is a 4-item general medication adherence scale that includes the following questions scored as yes (1) or no (0): Do you ever forget to take your medicine? Are you careless at times about taking your medicine? When you feel better, do you sometimes stop taking your medicine? Sometimes, if you feel worse when you take the medicine, do you stop taking it?.7 Responses were dichotomized to distinguish adherent participants (score = 0, no nonadherence behaviors) and suboptimally adherent participants (score ≥ 1, one or more nonadherence behaviors). Participants were also asked whether they take medication less often than prescribed due to cost. Objective medication adherence to a single oral hypoglycemic or insulin was assessed using an electronic Medication Event Monitoring System (MEMS), which records the date and time of medication bottle openings. MEMS data were used to calculate the percent of doses taken as prescribed, and the percent of days that doses were taken as prescribed, over 2 weeks.

4) Diabetes Self-Care

Self-care was assessed with the Diabetes Self-Care Inventory-Revised (DSCI-R), which measures self-reported adherence to 12 self-care behaviors (e.g., exercise, diet) from 1 = “never do this” to 5 = “always do this as recommended”.8

5) Diabetes Distress

The 17-item Diabetes Distress Scale was used to assess four domains of diabetes-related emotional distress: emotional burden (e.g., “feeling overwhelmed by the demands of living with diabetes”); physician-related distress (e.g., “feeling that my doctor doesn’t take my concerns seriously enough”); regimen-related distress (e.g., “feeling that I am not sticking closely enough to a good meal plan”); and interpersonal distress (e.g., “feeling that my friends/family don’t appreciate how difficult living with diabetes is”). Items are rated from 1 (“no problem”) to 6 (“serious problem”).9

6) Beliefs about Medications

The 18-item Beliefs about Medicines Questionnaire (BMQ) is comprised of two belief subscales: Specific (i.e., beliefs about one’s own medications) and General (i.e., beliefs about medicines in general).10 The Specific BMQ taps Necessity (e.g., “My health at present depends on my medicines”) and Concerns (e.g., “I sometimes worry about the long term effects of my medicines”). The General BMQ taps Harms (e.g., “Medicines do more harm than good”) and Overuse (e.g., “Doctors use too many medicines”). Items are rated from 1 (“strongly disagree”) to 5 (“strongly agree”).

Statistical Methods

Continuous baseline demographic and clinical characteristics were summarized using means and standard deviations, and categorical variables using counts and percentages. ANOVA was used for group comparisons.

Results

The sample was comprised of 143 participants with a mean age of 68.8 (6.7) years; 95 (66.4%) were women. Fifty six participants (39.2%) endorsed no Morisky self-report medication adherence items and were considered adherent. Eighty seven participants (60.8%) endorsed at least one Morisky item and were considered suboptimally adherent. The number and percent of participants (in the entire sample) endorsing each item were: forgetting to take medication (72, 50.3%); being careless about taking medication; (40, 28.0%); stopping medications when feeling better (24, 16.8%); and stopping medications when feeling worse (13, 9.2%). Twenty two participants (15.4%) stated that they took less medication than prescribed due to cost.

The Table compares adherent versus nonadherent participants. Compared to adherent participants, nonadherent participants had significantly lower MEMS-measured adherence to a prescribed antihyperglycemic medication, scored lower on the DSCI-R (i.e., less adherent to overall diabetes self-care) and the ADL-PI (i.e., more difficulty with daily living activities), and scored higher on the BMQ-Specific Concerns subscale (i.e., beliefs about the dangers of the participant’s medications), the BMQ-General Harm subscale (i.e., the general belief that medicines are harmful), and the Diabetes Distress emotional burden subscale (i.e., having diabetes is overwhelming). There were no group differences in MMSE or other neuropsychological test scores (data not shown), education, or depressive symptoms.

Table.

Bivariate Comparisons of Nonadherent versus Adherent Participantsa

Variable Nonadherent
Participants
(n = 87)
Adherent
Participants
(n = 56)
Χ2/f-test df p

N (%) N (%)

Background Characteristics:
  Female 55 (63.2) 39 (69.6) .62 1 .429

  Married 28 (32.2) 15 (26.8) 3.86 1 .570

  Takes less medication than prescribed due to cost 18 (21.1) 4 (7.3) 4.87 1 .027

Mean (SD) Mean (SD)
  Age, years 68.2 (6.0) 69.7 (7.5) 1.78 1,141 .185

  Education, years 12.4 (2.5) 12.3 (1.8) .019 1,141 .891

Clinical Characteristics:
  Number of medical conditions 4.7 (2.5) 4.3 (2.0) .76 1,141 .384

  Number of prescription and non-prescription medications 9.3 (4.2) 9.7 (4.1) .38 1,141 .530

  Hemoglobin A1c 9.4 (1.7) 9.2 (1.2) 1.22 1,141 .271

  Mini Mental State Examb| 25.5 (2.5) 25.5 (2.5) 0.00 1,414 .984

  Patient Health Questionnairec 8.7 (6.3) 6.7 (5.9) 3.32 1,141 .071

  Activities of Daily Living-Prevention Instrumentd 33.1 (7.9) 36.8 (6.2) 8.92 1,141 .003

  Medical Outcomes Study – 6e 17.7 (5.9) 16.1 (4.8) 2.96 1,141 .088

  Diabetes Self-Care Inventoryf 54.6 (15.3) 61.6 (13.3) 7.81 1,141 .006

Beliefs about Medication:
  Specific Concernsg 16.3 (4.2) 14.1 (4.4) 9.59 1,141 .002

  General Harmh 10.2 (2.9) 8.9 (2.4) 8.33 1,141 .005

  Specific Necessityi 19.6 (3.6) 20.3 (3.4) 1.34 1,141 .249

  Over Usej 12.9 (2.9) 12.0 (3.2) 3.02 1,141 .085

Diabetes Distress:
  Diabetes Burdenk 3.3 (1.6) 2.5 (1.4) 8.01 1,141 .005

  Physician-Related Distressl 1.7 (1.1) 1.6 (1.0) .248 1,141 .619

  Regimen-Related Distressm 3.5 (.7) 3.4 (.7) 1.00 1,141 .317

  Interpersonal Distressn 2.3 (1.6) 2.0 (1.5) 1.12 1,141 .292

Objective Medication Adherence:
  Percent of doses taken as prescribed 66.2 (27.3) 76.3 (26.0) 4.86 1,141 .029

  Percent of days taken as prescribed 48.7 (35.9) 62.5 (36.4) 5.04 1,141 .026
a

Adherent participants have a Morisky Medication Adherence Scale of 0. Nonadherent participants have scores ≥ 1.

b

Range from 0 to 30; higher scores indicate better global cognitive function.

c

Range is 0 to 27; higher scores indicate more severe depression.

d

Range is 25 to 60; higher scores are better function.

e

Range is 6 to 30; lower scores are better function.

f

Range is 0 to 48; higher scores are better diabetes self-management.

g

Range is 5 to 25; higher scores reflect greater worry about medications.

h

Range is 4 to 20; higher scores reflect stronger beliefs that medications are harmful.

i

Range is 5 to 25; higher scores reflect stronger beliefs that medications are necessary.

j

Range is 4 to 20; higher scores reflect stronger beliefs that physicians overprescribe medications.

k

Range is 5 to 30; higher scores reflect greater feelings of burden.

l

Range is 4 to 24; higher scores reflect greater levels physician-related distress.

m

Range is 5 to 30; higher scores reflect greater levels of regimen-related distress.

n

Range is 3 to 28; higher scores reflect greater levels of interpersonal distress.

Hemoglobin A1c levels were similar in both adherent [9.2 (1.2)] and nonadherent participants [9.4 (1.7)] and did not significantly correlate with Morisky scores or the two MEMS adherence variables, likely because the range of hemoglobin A1c levels was constrained. Hemoglobin A1c levels did correlate with regimen distress (r = .329; p < .001); emotional burden (r = .295; p < .001); interpersonal distress (r = .245; p < .003); beliefs that physicians overprescribe medications (r = −.189; p = .024); beliefs that medications are harmful (r = −.168; p = .045); and DSCI-R scores (i.e., overall diabetes self-care) (r = −.169; p = .043). [N= 143 for all correlations].

Conclusions

The participants we studied are not representative of older blacks with diabetes because they had MCI and were recruited from an academic medical center. Although uncertain generalizability is a limitation of this study, all participants had comprehensive assessments of cognitive, psychosocial, cultural, and medical status and subjective and objective measurement of medication adherence.

We found that negative beliefs about medications, the emotional burden of living with diabetes, worse daily functioning, and ability to afford medications were related to suboptimal medication adherence. Glycemic control negatively correlated with regimen distress, emotional burden, interpersonal distress, beliefs that physicians overprescribe medications, and beliefs that medications are harmful.

In this MCI sample, only 50% of participants reported forgetting to take medications, which likely underestimates the actual rate. There were no differences in severity of cognitive impairment in adherent and nonadherent participants, however, highlighting the observed differences in health beliefs, diabetes distress, daily functioning, and medication affordability as determinants of adherence. This finding is important because these factors are more modifiable than cognitive impairment, and suggests that interventions that respect personal health beliefs and compensate for impaired cognition may improve medication adherence in blacks with MCI. A more pressing need is to prevent cognitive decline in the much larger population of blacks with diabetes and intact cognition. Poorly controlled diabetes damages the cerebral microvasculature and increases risk for cognitive decline due to cerebrovascular and/or Alzheimer’s disease pathologies. Blacks have worse glycemic control than whites, which increases their risk of dementia.2 The high risk for this comorbidity in blacks reflects the impact of cultural factors, including beliefs about medications, and requires broadly applied culturally relevant treatment to improve glycemic control and prevent cognitive decline in this high risk population.

Highlights.

  • This is the first study to examine relationships between medication adherence, glycemic control, health beliefs, and cognition in blacks with diabetes and MCI.

  • Beliefs about medications, diabetes-related distress, functional disability, and medication affordability are associated with medication nonadherence.

  • Glycemic control negatively correlates with regimen distress, emotional burden, interpersonal distress, beliefs that physicians overprescribe medications, and beliefs that medications are harmful.

  • Interventions that respect personal health beliefs and compensate for impaired cognition may improve medication adherence and glycemic control in blacks with diabetes and MCI.

Acknowledgments

Support: This study was supported by the National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK; Grant Number R01 DK102609-01).

Footnotes

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No Disclosures to Report.

Contributor Information

Barry W. Rovner, Departments of Neurology, Psychiatry, and Ophthalmology, Sidney Kimmel Medical College of Thomas Jefferson University, Philadelphia, PA.

Robin J. Casten, Department of Psychiatry and Human Behavior, Sidney Kimmel Medical College of Thomas Jefferson University, Philadelphia, PA.

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