Skip to main content
Top
Published in: Journal of General Internal Medicine 8/2014

01-08-2014 | Original Research

Associations Between Antidepressant Adherence and Shared Decision-Making, Patient–Provider Trust, and Communication Among Adults with Diabetes: Diabetes Study of Northern California (DISTANCE)

Authors: Amy M. Bauer, MD, MS, Melissa M. Parker, MS, Dean Schillinger, MD, Wayne Katon, MD, Nancy Adler, PhD, Alyce S. Adams, PhD, Howard H. Moffet, MPH, Andrew J. Karter, PhD

Published in: Journal of General Internal Medicine | Issue 8/2014

Login to get access

ABSTRACT

BACKGROUND

Depression and adherence to antidepressant treatment are important clinical concerns in diabetes care. While patient–provider communication patterns have been associated with adherence for cardiometabolic medications, it is unknown whether interpersonal aspects of care impact antidepressant medication adherence.

OBJECTIVE

To determine whether shared decision-making, patient–provider trust, or communication are associated with early stage and ongoing antidepressant adherence.

DESIGN

Observational new prescription cohort study.

SETTING

Kaiser Permanente Northern California.

PATIENTS

One thousand five hundred twenty-three adults with type 2 diabetes who completed a survey in 2006 and received a new antidepressant prescription during 2006–2010.

MEASUREMENTS

Exposures included items based on the Trust in Physicians and Interpersonal Processes of Care instruments and the Consumer Assessment of Healthcare Providers and Systems (CAHPS) communication scale. Measures of adherence were estimated using validated methods with physician prescribing and pharmacy dispensing data: primary non-adherence (medication never dispensed), early non-persistence (dispensed once, never refilled), and new prescription medication gap (NPMG; proportion of time without medication during 12 months after initial prescription).

RESULTS

After adjusting for potential confounders, patients’ perceived lack of shared decision-making was significantly associated with primary non-adherence (RR = 2.42, p < 0.05), early non-persistence (RR = 1.34, p < 0.01) and NPMG (estimated 5 % greater gap in medication supply, p < 0.01). Less trust in provider was significantly associated with early non-persistence (RRs 1.22–1.25, ps < 0.05) and NPMG (estimated NPMG differences 5–8 %, ps < 0.01).

LIMITATIONS

All patients were insured and had consistent access to and quality of care.

CONCLUSIONS

Patients’ perceptions of their relationships with providers, including lack of shared decision-making or trust, demonstrated strong associations with antidepressant non-adherence. Further research should explore whether interventions for healthcare providers and systems that foster shared decision-making and trust might also improve medication adherence.
Literature
1.
go back to reference Ratanawongsa N, Karter AJ, Parker MM, et al. Communication and medication refill adherence: the Diabetes Study of Northern California. JAMA Intern Med. 2013;173(3):210–218.PubMedCentralPubMedCrossRef Ratanawongsa N, Karter AJ, Parker MM, et al. Communication and medication refill adherence: the Diabetes Study of Northern California. JAMA Intern Med. 2013;173(3):210–218.PubMedCentralPubMedCrossRef
2.
go back to reference Katon WJ, Simon G, Russo J, et al. Quality of depression care in a population-based sample of patients with diabetes and major depression. Med Care. 2004;42(12):1222–1229.PubMedCrossRef Katon WJ, Simon G, Russo J, et al. Quality of depression care in a population-based sample of patients with diabetes and major depression. Med Care. 2004;42(12):1222–1229.PubMedCrossRef
3.
go back to reference Karter AJ, Parker MM, Moffet HH, Ahmed AT, Schmittdiel JA, Selby JV. New prescription medication gaps: a comprehensive measure of adherence to new prescriptions. Health Serv Res. 2009;44(5 Pt 1):1640–1661.PubMedCentralPubMedCrossRef Karter AJ, Parker MM, Moffet HH, Ahmed AT, Schmittdiel JA, Selby JV. New prescription medication gaps: a comprehensive measure of adherence to new prescriptions. Health Serv Res. 2009;44(5 Pt 1):1640–1661.PubMedCentralPubMedCrossRef
4.
go back to reference de Groot M, Anderson R, Freedland KE, Clouse RE, Lustman PJ. Association of depression and diabetes complications: a meta-analysis. Psychosom Med. 2001;63(4):619–630.PubMedCrossRef de Groot M, Anderson R, Freedland KE, Clouse RE, Lustman PJ. Association of depression and diabetes complications: a meta-analysis. Psychosom Med. 2001;63(4):619–630.PubMedCrossRef
5.
go back to reference Lin EH, Katon W, Von Korff M, et al. Relationship of depression and diabetes self-care, medication adherence, and preventive care. Diabetes Care. 2004;27(9):2154–2160.PubMedCrossRef Lin EH, Katon W, Von Korff M, et al. Relationship of depression and diabetes self-care, medication adherence, and preventive care. Diabetes Care. 2004;27(9):2154–2160.PubMedCrossRef
6.
go back to reference Katon WJ, Rutter C, Simon G, et al. The association of comorbid depression with mortality in patients with type 2 diabetes. Diabetes Care. 2005;28(11):2668–2672.PubMedCrossRef Katon WJ, Rutter C, Simon G, et al. The association of comorbid depression with mortality in patients with type 2 diabetes. Diabetes Care. 2005;28(11):2668–2672.PubMedCrossRef
7.
go back to reference Katon W, Lyles CR, Parker MM, Karter AJ, Huang ES, Whitmer RA. Association of depression with increased risk of dementia in patients with type 2 diabetes: the diabetes and aging study. Arch Gen Psychiatry. 2012;69(4):410–417.PubMedCentralPubMedCrossRef Katon W, Lyles CR, Parker MM, Karter AJ, Huang ES, Whitmer RA. Association of depression with increased risk of dementia in patients with type 2 diabetes: the diabetes and aging study. Arch Gen Psychiatry. 2012;69(4):410–417.PubMedCentralPubMedCrossRef
8.
go back to reference Sullivan MD, O’Connor P, Feeney P, et al. Depression predicts all-cause mortality: epidemiological evaluation from the ACCORD HRQL sub study. Diabetes Care. 2012;35(8):1708–1715.PubMedCentralPubMedCrossRef Sullivan MD, O’Connor P, Feeney P, et al. Depression predicts all-cause mortality: epidemiological evaluation from the ACCORD HRQL sub study. Diabetes Care. 2012;35(8):1708–1715.PubMedCentralPubMedCrossRef
9.
go back to reference Hudson DL, Karter AJ, Fernandez A, et al. Differences in the clinical recognition of depression in diabetes patients: the diabetes study of northern California (DISTANCE). Am J Manage Care. 2013;19(5):344–352. Hudson DL, Karter AJ, Fernandez A, et al. Differences in the clinical recognition of depression in diabetes patients: the diabetes study of northern California (DISTANCE). Am J Manage Care. 2013;19(5):344–352.
10.
go back to reference Lin EH, Von Korff M, Katon W, et al. The role of the primary care physician in patients’ adherence to antidepressant therapy. Med Care. 1995;33(1):67–74.PubMedCrossRef Lin EH, Von Korff M, Katon W, et al. The role of the primary care physician in patients’ adherence to antidepressant therapy. Med Care. 1995;33(1):67–74.PubMedCrossRef
11.
go back to reference Mojtabai R, Olfson M. National patterns in antidepressant treatment by psychiatrists and general medical providers: results from the national comorbidity survey replication. J Clin Psychiatry. 2008;69(7):1064–1074.PubMedCrossRef Mojtabai R, Olfson M. National patterns in antidepressant treatment by psychiatrists and general medical providers: results from the national comorbidity survey replication. J Clin Psychiatry. 2008;69(7):1064–1074.PubMedCrossRef
12.
go back to reference Bauer AM, Schillinger D, Parker MM, et al. Health literacy and antidepressant medication adherence among adults with diabetes: the Diabetes Study of Northern California (DISTANCE). J Gen Intern Med. 2013;28(9):1181–1187.PubMedCrossRef Bauer AM, Schillinger D, Parker MM, et al. Health literacy and antidepressant medication adherence among adults with diabetes: the Diabetes Study of Northern California (DISTANCE). J Gen Intern Med. 2013;28(9):1181–1187.PubMedCrossRef
13.
go back to reference American Psychiatric Association. Practice guideline for the treatment of patients with major depressive disorder. 3rd ed. Washington DC: American Psychiatric Association; 2010. American Psychiatric Association. Practice guideline for the treatment of patients with major depressive disorder. 3rd ed. Washington DC: American Psychiatric Association; 2010.
14.
go back to reference Moffet HH, Adler N, Schillinger D, et al. Cohort Profile: The Diabetes Study of Northern California (DISTANCE)–objectives and design of a survey follow-up study of social health disparities in a managed care population. Int J Epidemiol. 2009;38(1):38–47.PubMedCentralPubMedCrossRef Moffet HH, Adler N, Schillinger D, et al. Cohort Profile: The Diabetes Study of Northern California (DISTANCE)–objectives and design of a survey follow-up study of social health disparities in a managed care population. Int J Epidemiol. 2009;38(1):38–47.PubMedCentralPubMedCrossRef
15.
go back to reference Hargraves JL, Hays RD, Cleary PD. Psychometric properties of the Consumer Assessment of Health Plans Study (CAHPS) 2.0 adult core survey. Health Serv Res. 2003;38(6 Pt 1):1509–1527.PubMedCrossRef Hargraves JL, Hays RD, Cleary PD. Psychometric properties of the Consumer Assessment of Health Plans Study (CAHPS) 2.0 adult core survey. Health Serv Res. 2003;38(6 Pt 1):1509–1527.PubMedCrossRef
16.
go back to reference Anderson LA, Dedrick RF. Development of the trust in physician scale: a measure to assess interpersonal trust in patient-physician relationships. Psychol Rep. 1990;67(3 Pt 2):1091–1100.PubMedCrossRef Anderson LA, Dedrick RF. Development of the trust in physician scale: a measure to assess interpersonal trust in patient-physician relationships. Psychol Rep. 1990;67(3 Pt 2):1091–1100.PubMedCrossRef
17.
go back to reference Thom DH, Ribisl KM, Stewart AL, Luke DA. Further validation and reliability testing of the trust in physician scale. The Stanford Trust Study Physicians. Med Care. 1999;37(5):510–517.PubMedCrossRef Thom DH, Ribisl KM, Stewart AL, Luke DA. Further validation and reliability testing of the trust in physician scale. The Stanford Trust Study Physicians. Med Care. 1999;37(5):510–517.PubMedCrossRef
18.
19.
go back to reference Stewart AL, Napoles-Springer AM, Gregorich SE, Santoyo-Olsson J. Interpersonal processes of care survey: patient-reported measures for diverse groups. Health Serv Res. 2007;42(3 Pt 1):1235–1256.PubMedCentralPubMedCrossRef Stewart AL, Napoles-Springer AM, Gregorich SE, Santoyo-Olsson J. Interpersonal processes of care survey: patient-reported measures for diverse groups. Health Serv Res. 2007;42(3 Pt 1):1235–1256.PubMedCentralPubMedCrossRef
21.
go back to reference Dyer N, Sorra JS, Smith SA, Cleary PD, Hays RD. Psychometric properties of the Consumer Assessment of Healthcare Providers and Systems (CAHPS(R)) clinician and group adult visit survey. Med Care. 2012;50(Suppl):S28–S34.PubMedCentralPubMedCrossRef Dyer N, Sorra JS, Smith SA, Cleary PD, Hays RD. Psychometric properties of the Consumer Assessment of Healthcare Providers and Systems (CAHPS(R)) clinician and group adult visit survey. Med Care. 2012;50(Suppl):S28–S34.PubMedCentralPubMedCrossRef
22.
go back to reference Raebel MA, Schmittdiel J, Karter AJ, Konieczny JL, Steiner JF. Standardizing terminology and definitions of medication adherence and persistence in research employing electronic databases. Med Care. 2013;51(8 Suppl 3):S11–S21.PubMedCrossRef Raebel MA, Schmittdiel J, Karter AJ, Konieczny JL, Steiner JF. Standardizing terminology and definitions of medication adherence and persistence in research employing electronic databases. Med Care. 2013;51(8 Suppl 3):S11–S21.PubMedCrossRef
23.
go back to reference Greenland S, Pearl J, Robins JM. Causal diagrams for epidemiologic research. Epidemiology. 1999;10(1):37–48.PubMedCrossRef Greenland S, Pearl J, Robins JM. Causal diagrams for epidemiologic research. Epidemiology. 1999;10(1):37–48.PubMedCrossRef
24.
go back to reference Hernan MA, Hernandez-Diaz S, Werler MM, Mitchell AA. Causal knowledge as a prerequisite for confounding evaluation: an application to birth defects epidemiology. Am J Epidemiol. 2002;155(2):176–184.PubMedCrossRef Hernan MA, Hernandez-Diaz S, Werler MM, Mitchell AA. Causal knowledge as a prerequisite for confounding evaluation: an application to birth defects epidemiology. Am J Epidemiol. 2002;155(2):176–184.PubMedCrossRef
25.
go back to reference Zou GY. A modified Poisson regression approach to prospective studies with binary data. Am J Epidemiol. 2004;159(7):702–706.PubMedCrossRef Zou GY. A modified Poisson regression approach to prospective studies with binary data. Am J Epidemiol. 2004;159(7):702–706.PubMedCrossRef
26.
go back to reference Cheung YB. A modified least-squares regression approach to the estimation of risk difference. Am J Epidemiol. 2007;166(11):1337–1344.PubMedCrossRef Cheung YB. A modified least-squares regression approach to the estimation of risk difference. Am J Epidemiol. 2007;166(11):1337–1344.PubMedCrossRef
27.
go back to reference Horvitz DG, Thompson DJ. A generalization of sampling without replacement from a finite universe. J Am Stat Assoc. 1952;47(260):663–685.CrossRef Horvitz DG, Thompson DJ. A generalization of sampling without replacement from a finite universe. J Am Stat Assoc. 1952;47(260):663–685.CrossRef
28.
go back to reference Chew LD, Bradley KA, Boyko EJ. Brief questions to identify patients with inadequate health literacy. Fam Med. 2004;36(8):588–594.PubMed Chew LD, Bradley KA, Boyko EJ. Brief questions to identify patients with inadequate health literacy. Fam Med. 2004;36(8):588–594.PubMed
29.
go back to reference Sarkar U, Schillinger D, Lopez A, Sudore R. Validation of self-reported health literacy questions among diverse English and Spanish-speaking populations. J Gen Intern Med. 2011;26(3):265–271.PubMedCentralPubMedCrossRef Sarkar U, Schillinger D, Lopez A, Sudore R. Validation of self-reported health literacy questions among diverse English and Spanish-speaking populations. J Gen Intern Med. 2011;26(3):265–271.PubMedCentralPubMedCrossRef
30.
go back to reference Kaplan JE, Keeley RD, Engel M, Emsermann C, Brody D. Aspects of patient and clinician language predict adherence to antidepressant medication. J Am Board Fam Med. 2013;26(4):409–420.PubMedCrossRef Kaplan JE, Keeley RD, Engel M, Emsermann C, Brody D. Aspects of patient and clinician language predict adherence to antidepressant medication. J Am Board Fam Med. 2013;26(4):409–420.PubMedCrossRef
31.
go back to reference Shin J, McCombs JS, Sanchez RJ, Udall M, Deminski MC, Cheetham TC. Primary nonadherence to medications in an integrated healthcare setting. Am J Manage Care. 2012;18(8):426–434. Shin J, McCombs JS, Sanchez RJ, Udall M, Deminski MC, Cheetham TC. Primary nonadherence to medications in an integrated healthcare setting. Am J Manage Care. 2012;18(8):426–434.
32.
33.
go back to reference Lin EH, Von Korff M, Ciechanowski P, et al. Treatment adjustment and medication adherence for complex patients with diabetes, heart disease, and depression: a randomized controlled trial. Ann Fam Med. 2012;10(1):6–14.PubMedCentralPubMedCrossRef Lin EH, Von Korff M, Ciechanowski P, et al. Treatment adjustment and medication adherence for complex patients with diabetes, heart disease, and depression: a randomized controlled trial. Ann Fam Med. 2012;10(1):6–14.PubMedCentralPubMedCrossRef
34.
go back to reference DeWalt D, Callahan L, Hawk V, et al. Health literacy universal precautions toolkit (Prepared by North Carolina Network Consortium, The Cecil G. Sheps Center for Health Services Research, The University of North Carolina at Chapel Hill, under Contract No. HHSA290200710014.) AHRQ Publication No. 10-0046-EF. Rockville, MD: Agency for Healthcare Research and Quality; 2010. DeWalt D, Callahan L, Hawk V, et al. Health literacy universal precautions toolkit (Prepared by North Carolina Network Consortium, The Cecil G. Sheps Center for Health Services Research, The University of North Carolina at Chapel Hill, under Contract No. HHSA290200710014.) AHRQ Publication No. 10-0046-EF. Rockville, MD: Agency for Healthcare Research and Quality; 2010.
35.
go back to reference Koh HK, Brach C, Harris LM, Parchman ML. A proposed ‘health literate care model’ would constitute a systems approach to improving patients’ engagement in care. Health Aff (Millwood). 2013;32(2):357–367.CrossRef Koh HK, Brach C, Harris LM, Parchman ML. A proposed ‘health literate care model’ would constitute a systems approach to improving patients’ engagement in care. Health Aff (Millwood). 2013;32(2):357–367.CrossRef
Metadata
Title
Associations Between Antidepressant Adherence and Shared Decision-Making, Patient–Provider Trust, and Communication Among Adults with Diabetes: Diabetes Study of Northern California (DISTANCE)
Authors
Amy M. Bauer, MD, MS
Melissa M. Parker, MS
Dean Schillinger, MD
Wayne Katon, MD
Nancy Adler, PhD
Alyce S. Adams, PhD
Howard H. Moffet, MPH
Andrew J. Karter, PhD
Publication date
01-08-2014
Publisher
Springer US
Published in
Journal of General Internal Medicine / Issue 8/2014
Print ISSN: 0884-8734
Electronic ISSN: 1525-1497
DOI
https://doi.org/10.1007/s11606-014-2845-6

Other articles of this Issue 8/2014

Journal of General Internal Medicine 8/2014 Go to the issue
Live Webinar | 27-06-2024 | 18:00 (CEST)

Keynote webinar | Spotlight on medication adherence

Live: Thursday 27th June 2024, 18:00-19:30 (CEST)

WHO estimates that half of all patients worldwide are non-adherent to their prescribed medication. The consequences of poor adherence can be catastrophic, on both the individual and population level.

Join our expert panel to discover why you need to understand the drivers of non-adherence in your patients, and how you can optimize medication adherence in your clinics to drastically improve patient outcomes.

Prof. Kevin Dolgin
Prof. Florian Limbourg
Prof. Anoop Chauhan
Developed by: Springer Medicine
Obesity Clinical Trial Summary

At a glance: The STEP trials

A round-up of the STEP phase 3 clinical trials evaluating semaglutide for weight loss in people with overweight or obesity.

Developed by: Springer Medicine