Shared decision making for antidepressants in primary care a cluster randomized trial

JAMA Internal Medicine

Volumn 175, Issue 11, 2015, Pages 1761-1770

  LeBlanc, Annie ^a   Herrin, Jeph ^a   Williams, Mark D ^a   Inselman, Jonathan W ^a   Branda, Megan E ^a   Shah, Nilay D ^b   Heim, Emma M ^c   Dick, Sara R ^a   Linzer, Mark ^a   Boehm, Deborah H ^d   Dall Winther, Kristen M ^e   Matthews, Marc R ^a   Yost, Kathleen J ^a   Shepel, Kathryn K ^a   Montori, Victor M ^a  

^a MAYO CLINIC   (United States)

^b YALE UNIVERSITY SCHOOL OF MEDICINE   (United States)

^c Health Research and Educational Trust   (United States)

^d HENNEPIN COUNTY MEDICAL CENTER   (United States)

^e ALBERT LEA EYE CLINIC   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ANTIDEPRESSANT AGENT;

ADULT; ARTICLE; CLINICAL FEATURE; CLINICAL PRACTICE; COMPARATIVE EFFECTIVENESS; CONSULTATION; CONTROLLED STUDY; DECISION SUPPORT SYSTEM; DEPRESSION; DEPRESSION MEDICATION CHOICE; DISEASE SEVERITY; DRUG CHOICE; FEMALE; HEALTH CARE QUALITY; HUMAN; MAJOR CLINICAL STUDY; MALE; MEDICAL DECISION MAKING; MEDICATION COMPLIANCE; MEDICATION THERAPY MANAGEMENT; OUTCOME ASSESSMENT; PATIENT CARE; PATIENT COMFORT; PATIENT COMPLIANCE; PATIENT DECISION MAKING; PATIENT EDUCATION; PATIENT HEALTH QUESTIONNAIRE 9; PATIENT SATISFACTION; PHYSICIAN ATTITUDE; PRIMARY MEDICAL CARE; PRIORITY JOURNAL; RANDOMIZED CONTROLLED TRIAL; REMISSION; TREATMENT DURATION; TREATMENT OUTCOME; TREATMENT RESPONSE; UNITED STATES; VIDEORECORDING; CLUSTER ANALYSIS; DECISION MAKING; MIDDLE AGED; PATIENT PARTICIPATION; PRIMARY HEALTH CARE; PROCEDURES; PSYCHOLOGICAL RATING SCALE; PSYCHOLOGY; STATISTICS AND NUMERICAL DATA;

ADULT; ANTIDEPRESSIVE AGENTS; CHOICE BEHAVIOR; CLUSTER ANALYSIS; COMPARATIVE EFFECTIVENESS RESEARCH; DECISION MAKING; DECISION SUPPORT TECHNIQUES; DEPRESSION; FEMALE; HUMANS; MALE; MEDICATION ADHERENCE; MIDDLE AGED; MINNESOTA; OUTCOME ASSESSMENT (HEALTH CARE); PATIENT PARTICIPATION; PRACTICE PATTERNS, PHYSICIANS'; PRIMARY HEALTH CARE; PSYCHIATRIC STATUS RATING SCALES; WISCONSIN;

EID: 84946113661     PISSN: 21686106     EISSN: 21686114     Source Type: Journal    
DOI: 10.1001/jamainternmed.2015.5214     Document Type: Article

References (52)

1. Kessler RC, ChiuWT, Demler O, Merikangas KR, Walters EE. Prevalence, severity, and comorbidity of 12-month DSM-IV disorders in the National Comorbidity Survey Replication. Arch Gen Psychiatry. 2005;62(6):617-627.
2. Moussavi S, Chatterji S, Verdes E, Tandon A, Patel V, Ustun B. Depression, chronic diseases, and decrements in health: results from theWorld Health Surveys. Lancet. 2007;370(9590):851-858.
3. Burcusa SL, IaconoWG. Risk for recurrence in depression. Clin Psychol Rev. 2007;27(8):959-985.
4. Merikangas KR, AmesM, Cui L, et al. The impact of comorbidity of mental and physical conditions on role disability in the US adult household population. Arch Gen Psychiatry. 2007;64(10):1180-1188.
5. Simon GE. Long-term prognosis of depression in primary care. BullWorld Health Organ. 2000;78(4): 439-445.
6. American Psychiatric Association. Practice guideline for the treatment of patients with major depressive disorder (revision). Am J Psychiatry. 2000;157(4)(suppl):1-45.
7. Coulehan JL, Schulberg HC, Block MR, Madonia MJ, Rodriguez E. Treating depressed primary care patients improves their physical, mental, and social functioning. Arch Intern Med. 1997;157(10):1113-1120.
8. Katzelnick D, Simon G, Pearson S, ManningW, Kobak K. Depression management programs. Arch FamMed. 2000;9(8):689-70.
9. Akincigil A, Bowblis JR, Levin C, Walkup JT, Jan S, Crystal S. Adherence to antidepressant treatment among privately insured patients diagnosed with depression. Med Care. 2007;45(4):363-369.
10. Sheehan DV, Keene MS, Eaddy M, Krulewicz S, Kraus JE, Carpenter DJ. Differences in medication adherence and healthcare resource utilization patterns: older versus newer antidepressant agents in patients with depression and/or anxiety disorders. CNS Drugs. 2008;22(11):963-973.
11. Demyttenaere K, Enzlin P, Dew, et al. Compliance with antidepressants in a primary care setting, 1: Beyond lack of efficacy and adverse events. J Clin Psychiatry. 2001;62(suppl 22):30-33.
12. Wierzbicki M, Pekarik G. Ameta-Analysis of psychotherapy dropout. Prof Psychol Res Pr. 1993; 24(2):190-195.
13. van Grieken RA, Beune EJ, Kirkenier AC, Koeter MW, van ZwietenMC, Schene AH. Patients × perspectives on how treatment can impede their recovery from depression. J Affect Disord. 2014;167: 153-159.
14. Gartlehner G, Hansen R, Morgan L, et al. Second-Generation Antidepressants in the Pharmacologic Treatment of Adult Depression: An Update of the 2007 Comparative Effectiveness Review. 2011. http://effectivehealthcare.ahrq.gov/index.cfm/search-for-guides-reviews-And-reports/?productid=862&pageaction=displayproduct.
15. Cipriani A, Furukawa TA, Salanti G, et al. Comparative efficacy and acceptability of 12 new-generation antidepressants: a multiple-treatmentsmeta-Analysis. Lancet. 2009; 373(9665):746-758.
16. GaissmaierW, Anderson BL, Schulkin J. How do physicians provide statistical information about antidepressants to hypothetical patients? Med Decis Making. 2014;34(2):206-215.
17. Davies NM, Gunnell D, Thomas KH, Metcalfe C, Windmeijer F, Martin RM. Physicians prescribing preferences were a potential instrument for patients actual prescriptions of antidepressants. J Clin Epidemiol. 2013;66(12):1386-1396.
18. Sox HC. Comparative effectiveness research: a progress report. Ann Intern Med. 2010;153(7): 469-472.
19. Timbie JW, Fox DS, Van Busum K, Schneider EC. Five reasons that many comparative effectiveness studies fail to change patient care and clinical practice. Health Aff (Millwood). 2012;31(10):2168-2175.
20. Morrato EH, Concannon TW, Meissner P, Shah ND, Turner BJ. Dissemination and implementation of comparative effectiveness evidence: key informant interviews with Clinical and Translational Science Award institutions. J Comp Eff Res. 2013;2 (2):185-194.
21. Stiggelbout AM, Van derWeijden T, De WitMP, et al. Shared decision making: really putting patients at the centre of healthcare. BMJ. 2012;344: e256.
22. Shah ND, Mullan RJ, Breslin M, Yawn BP, Ting HH, Montori VM. Translating comparative effectiveness into practice: the case of diabetes medications. Med Care. 2010;48(6)(suppl):S153-S158.
23. Joosten EA, DeFuentes-Merillas L, deWeert GH, Sensky T, van der Staak CP, de Jong CA. Systematic review of the effects of shared decision-making on patient satisfaction, treatment adherence and health status. Psychother Psychosom. 2008;77(4):219-226.
24. Stacey D, LarF, Col NF, et al. Decision aids for people facing health treatment or screening decisions. Cochrane Database Syst Rev. 2014;1: CD001431.
25. Agoritsas T, Heen AF, Brandt L, et al. Decision aids that really promote shared decision making: the pace quickens. BMJ. 2015;350:g7624.
26. LeBlanc A, Bodde AE, Branda ME, et al. Translating comparative effectiveness of depression medications into practice by comparing the depression medication choice decision aid to usual care: study protocol for a randomized controlled trial. Trials. 2013;14:127.
27. Kroenke K, Spitzer RL, Williams JB. The PHQ-9: validity of a brief depression severity measure. J Gen Intern Med. 2001;16(9):606-613.
28. A new direction in depression treatment in Minnesota: DIAMOND program, Institute for Clinical Systems Improvement, Bloomington, Minnesota. Psychiatr Serv. 2010;61(10):1042-1044.
29. Glasgow RE, McKay HG, Piette JD, Reynolds KD. The RE-AIM framework for evaluating interventions: what can it tell us about approaches to chronic illness management? Patient Educ Couns. 2001;44(2):119-127.
30. OConnor AM. Validation of a decisional conflict scale. Med Decis Making. 1995;15(1):25-30.
31. OConnor A. Knowledge [user manual]. 2000. http://decisionaid.ohri.ca/docs/develop/User-Manuals/UM-Knowledge.pdf.
32. Branda ME, LeBlanc A, Shah ND, et al. Shared decision making for patients with type 2 diabetes: a randomized trial in primary care. BMC Health Serv Res. 2013;13:301.
33. Mullan RJ, Montori VM, Shah ND, et al. The diabetes mellitus medication choice decision aid: a randomized trial. Arch Intern Med. 2009;169(17): 1560-1568.
34. Hess LM, Raebel MA, Conner DA, Malone DC. Measurement of adherence in pharmacy administrative databases: a proposal for standard definitions and preferred measures. Ann Pharmacother. 2006;40(7-8):1280-1288.
35. LeBlanc A, Kenny DA, OConnor AM, LarF. Decisional conflict in patients and their physicians: a dyadic approach to shared decision making. Med Decis Making. 2009;29(1):61-68.
36. Elwyn G, Hutchings H, Edwards A, et al. The OPTION scale: measuring the extent that clinicians involve patients in decision-making tasks. Health Expect. 2005;8(1):34-42.
37. Wyatt KD, Branda ME, Anderson RT, et al. Peering into the black box: ameta-Analysis of how clinicians use decision aids during clinical encounters. Implement Sci. 2014;9:26.
38. Donner A, Klar NS. Design and Analysis of Cluster Randomisation Trials in Health Research. London, England: Hodder Arnold; 2000.
39. Weymiller AJ, Montori VM, Jones LA, et al. Helping patients with type 2 diabetes mellitus make treatment decisions: statin choice randomized trial. Arch Intern Med. 2007;167(10):1076-1082.
40. Snijders T, Bosker Rj. Multilevel Analysis: An Introduction to Basic and Advanced Multilevel Modeling. London, England: Sage; 2004.
41. Shrout PE, Fleiss JL. Intraclass correlations: uses in assessing rater reliability. Psychol Bull. 1979; 86(2):420-428.
42. Montori VM, Shah ND, Pencille LJ, et al. Use of a decision aid to improve treatment decisions in osteoporosis: the osteoporosis choice randomized trial. Am J Med. 2011;124(6):549-556.
43. Duncan E, Best C, Hagen S. Shared decision making interventions for people with mental health conditions. Cochrane Database Syst Rev. 2010;(1): CD007297.
44. Cou N, Desroches S, Robitaille H, et al. Assessments of the extent to which health-care providers involve patients in decision making: a systematic review of studies using the OPTION instrument. Health Expect. 2015;18(4):542-561.
45. McKinneyM. Time is of the essence. PCORI moves to implement comparative effectiveness research, funding. Mod Healthc. 2012;42(5):12-13.
46. Katz SJ, Hawley S. The value of sharing treatment decision making with patients: expecting too much? JAMA. 2013;310(15):1559-1560.
47. Oshima Lee E, Emanuel EJ. Shared decision making to improve care and reduce costs. N Engl J Med. 2013;368(1):6-8.
48. Gilbody SM, Whitty PM, Grimshaw JM, Thomas RE. Improving the detection and management of depression in primary care. Qual Saf Health Care. 2003;12(2):149-155.
49. HterM, Bermejo I, Ollenschler G, et al. Improving quality of care for depression: the German Action Programme for the implementation of evidence-based guidelines. Int J Qual Health Care. 2006;18(2):113-119.
50. Institute of Medicine. Crossing the Quality Chasm. A New Health System for the 21st Century. Washington, DC: National Academy Press; 2001.
51. Nieuwlaat R, Wilczynski N, Navarro T, et al. Interventions for enhancing medication adherence. Cochrane Database Syst Rev. 2014;11:CD000011.
52. Coylewright M, Branda M, Inselman JW, et al. Impact of sociodemographic patient characteristics on the efficacy of decision AIDS: a patient-level meta-Analysis of 7 randomized trials. Circ Cardiovasc Qual Outcomes. 2014;7(3):360-367.