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Published in: BMC Medical Informatics and Decision Making 1/2021

Open Access 01-12-2021 | Affective Disorder | Research

Psychometric evaluation of a decision quality instrument for medication decisions for treatment of depression symptoms

Authors: Suzanne Brodney, K. D. Valentine, Karen Sepucha

Published in: BMC Medical Informatics and Decision Making | Issue 1/2021

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Abstract

Background

A high quality treatment decision means patients are informed and receive treatment that matches their goals. This research examined the reliability and validity of the Depression Decision Quality Instrument (DQI), a survey to measure the extent to which patients are informed and received preferred treatment for depression.

Methods

Participants were aged 18 and older from 17 US cities who discussed medication or counseling with a physician in the past year, and physicians who treated patients with depression who practiced in the same cities. Participants were mailed a survey that included the Depression-DQI, a tool with 10 knowledge and 7 goal and concern items. Patients were randomly assigned to either receive a patient decision aid (DA) on treatment of depression or no DA. A matching score was created by comparing the patient’s preferred treatment to their self-reported treatment received. Concordant scores were considered matched, discordant were not. We examined the reliability and known group validity of the Depression-DQI.

Results

Most patients 405/504 (80%) responded, 79% (320/405) returned the retest survey, and 60% (114/187) of physicians returned the survey. Patients’ knowledge scores on the 10-item scale ranged from 14.6 to 100% with no evidence of floor or ceiling effects. Retest reliability for knowledge was moderate and for goals and concerns ranged from moderate to good. Mean knowledge scores differentiated between patients and physicians (M = 63 [SD = 15] vs. M = 81 [SD = 11], p < 0.001), and between patients who did and didn’t receive a DA (M = 64 [SD = 16] vs. M = 61 [SD = 14], p = 0.041). 60.5% of participants received treatment that matched their preference. Based on the multivariate logistic regression, ‘avoiding taking anti-depressants’ was the only goal that was predictive of taking mediation (OR = 0.73 [0.66, 0.80], p < 0.01). Shared Decision Making Process scores were similar for those who matched their preference and those who didn’t (M = 2.18 [SD = 0.97] vs. M = 2.06 [SD = 1.07]; t(320) =  − 1.06, p = 0.29). Those who matched had lower regret scores (matched M = 1.72 [SD = 0.74] vs. unmatched M = 2.32 [SD = 0.8]; t(301) =  − 6.6, p < .001).

Conclusions

The Depression DQI demonstrated modest reliability and validity. More work is needed to establish validity of the method to determine concordance.
Trial registration: NCT01152307.
Appendix
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Literature
1.
go back to reference Clinical practice guideline for the treatment of depression across three age cohorts American Psychological Association guideline development panel for the treatment of depressive disorders; 2019. Clinical practice guideline for the treatment of depression across three age cohorts American Psychological Association guideline development panel for the treatment of depressive disorders; 2019.
2.
go back to reference Qaseem A, Barry MJ, Kansagara D. Nonpharmacologic versus pharmacologic treatment of adult patients with major depressive disorder: a clinical practice guideline from the American College of Physicians. Ann Intern Med. 2016;164(5):350–9.CrossRef Qaseem A, Barry MJ, Kansagara D. Nonpharmacologic versus pharmacologic treatment of adult patients with major depressive disorder: a clinical practice guideline from the American College of Physicians. Ann Intern Med. 2016;164(5):350–9.CrossRef
3.
go back to reference 2017 NQFO. Shared decision making: a standard of care for all patients. 2017. 2017 NQFO. Shared decision making: a standard of care for all patients. 2017.
4.
go back to reference Barr PJ, Forcino RC, Mishra M, Blitzer R, Elwyn G. Competing priorities in treatment decision-making: a US national survey of individuals with depression and clinicians who treat depression. BMJ Open. 2016;6(1):e009585.CrossRef Barr PJ, Forcino RC, Mishra M, Blitzer R, Elwyn G. Competing priorities in treatment decision-making: a US national survey of individuals with depression and clinicians who treat depression. BMJ Open. 2016;6(1):e009585.CrossRef
5.
go back to reference Solberg LI, Crain AL, Rubenstein L, Unützer J, Whitebird RR, Beck A. How much shared decision making occurs in usual primary care of depression? J Am Board Fam Med JABFM. 2014;27(2):199–208.CrossRef Solberg LI, Crain AL, Rubenstein L, Unützer J, Whitebird RR, Beck A. How much shared decision making occurs in usual primary care of depression? J Am Board Fam Med JABFM. 2014;27(2):199–208.CrossRef
6.
go back to reference Hines AL, Roter D, Ghods Dinoso BK, Carson KA, Daumit GL, Cooper LA. Informed and patient-centered decision-making in the primary care visits of African Americans with depression. Patient Educ Couns. 2018;101(2):233–40.CrossRef Hines AL, Roter D, Ghods Dinoso BK, Carson KA, Daumit GL, Cooper LA. Informed and patient-centered decision-making in the primary care visits of African Americans with depression. Patient Educ Couns. 2018;101(2):233–40.CrossRef
7.
go back to reference Saver BG, Van-Nguyen V, Keppel G, Doescher MP. A qualitative study of depression in primary care: missed opportunities for diagnosis and education. J Am Board Fam Med. 2007;20(1):28–35.CrossRef Saver BG, Van-Nguyen V, Keppel G, Doescher MP. A qualitative study of depression in primary care: missed opportunities for diagnosis and education. J Am Board Fam Med. 2007;20(1):28–35.CrossRef
8.
go back to reference Barry M, Edgeman-Levitan S, Sepucha K. Shared decision-making: staying focused on the ultimate goal. NEJM Catal. 2018. Barry M, Edgeman-Levitan S, Sepucha K. Shared decision-making: staying focused on the ultimate goal. NEJM Catal. 2018.
9.
go back to reference Elwyn G, O’Connor A, Stacey D, Volk R, Edwards A, Coulter A, et al. Developing a quality criteria framework for patient decision aids: online international Delphi consensus process. BMJ. 2006;333(7565):417.CrossRef Elwyn G, O’Connor A, Stacey D, Volk R, Edwards A, Coulter A, et al. Developing a quality criteria framework for patient decision aids: online international Delphi consensus process. BMJ. 2006;333(7565):417.CrossRef
10.
go back to reference Fagerlin A, Sepucha KR, Couper MP, Levin CA, Singer E, Zikmund-Fisher BJ. Patients’ knowledge about 9 common health conditions: the DECISIONS survey. Med Decis Mak Int J Soc Med Decis Mak. 2010;30(5 Suppl):52S. Fagerlin A, Sepucha KR, Couper MP, Levin CA, Singer E, Zikmund-Fisher BJ. Patients’ knowledge about 9 common health conditions: the DECISIONS survey. Med Decis Mak Int J Soc Med Decis Mak. 2010;30(5 Suppl):52S.
11.
go back to reference Zikmund-Fisher BJ, Couper MP, Singer E, Levin CA, Fowler FJ Jr, Ziniel S, et al. The DECISIONS study: a nationwide survey of United States adults regarding 9 common medical decisions. Med Decis Mak. 2010;30(5 Suppl):20s–34s.CrossRef Zikmund-Fisher BJ, Couper MP, Singer E, Levin CA, Fowler FJ Jr, Ziniel S, et al. The DECISIONS study: a nationwide survey of United States adults regarding 9 common medical decisions. Med Decis Mak. 2010;30(5 Suppl):20s–34s.CrossRef
12.
go back to reference Fowler FJ Jr, Gerstein BS, Barry MJ. How patient centered are medical decisions?: Results of a national survey. JAMA Intern Med. 2013;173(13):1215–21.CrossRef Fowler FJ Jr, Gerstein BS, Barry MJ. How patient centered are medical decisions?: Results of a national survey. JAMA Intern Med. 2013;173(13):1215–21.CrossRef
13.
go back to reference Brodney S, Fowler FJ Jr, Stringfellow V, Valentine KD, Barry MJ. National survey of decision-making for antidepressants and educational level. J Am Board Fam Med. 2020;33(1):80–90.CrossRef Brodney S, Fowler FJ Jr, Stringfellow V, Valentine KD, Barry MJ. National survey of decision-making for antidepressants and educational level. J Am Board Fam Med. 2020;33(1):80–90.CrossRef
14.
go back to reference Sepucha KR, Atlas SJ, Chang Y, Freiberg A, Malchau H, Mangla M, et al. Informed, patient-centered decisions associated with better health outcomes in orthopedics: prospective cohort study. Med Decis Mak. 2018;38(8):1018–26.CrossRef Sepucha KR, Atlas SJ, Chang Y, Freiberg A, Malchau H, Mangla M, et al. Informed, patient-centered decisions associated with better health outcomes in orthopedics: prospective cohort study. Med Decis Mak. 2018;38(8):1018–26.CrossRef
15.
go back to reference Sepucha KR, Fowler FJ Jr, Mulley AG Jr. Policy support for patient-centered care: the need for measurable improvements in decision quality. Health Aff (Millwood). 2004;23(Suppl 2):Var54-62.CrossRef Sepucha KR, Fowler FJ Jr, Mulley AG Jr. Policy support for patient-centered care: the need for measurable improvements in decision quality. Health Aff (Millwood). 2004;23(Suppl 2):Var54-62.CrossRef
16.
go back to reference Sepucha KR, Levin CA, Uzogara EE, Barry MJ, O’Connor AM, Mulley AG. Developing instruments to measure the quality of decisions: early results for a set of symptom-driven decisions. Patient Educ Couns. 2008;73(3):504–10.CrossRef Sepucha KR, Levin CA, Uzogara EE, Barry MJ, O’Connor AM, Mulley AG. Developing instruments to measure the quality of decisions: early results for a set of symptom-driven decisions. Patient Educ Couns. 2008;73(3):504–10.CrossRef
17.
go back to reference Sepucha KR, Stacey D, Clay CF, Chang Y, Cosenza C, Dervin G, et al. Decision quality instrument for treatment of hip and knee osteoarthritis: a psychometric evaluation. BMC Musculoskelet Disord. 2011;12:149.CrossRef Sepucha KR, Stacey D, Clay CF, Chang Y, Cosenza C, Dervin G, et al. Decision quality instrument for treatment of hip and knee osteoarthritis: a psychometric evaluation. BMC Musculoskelet Disord. 2011;12:149.CrossRef
18.
go back to reference Sepucha KR, Feibelmann S, Abdu WA, Clay CF, Cosenza C, Kearing S, et al. Psychometric evaluation of a decision quality instrument for treatment of lumbar herniated disc. Spine (Phila Pa 1976). 2012;37(18):1609–16.CrossRef Sepucha KR, Feibelmann S, Abdu WA, Clay CF, Cosenza C, Kearing S, et al. Psychometric evaluation of a decision quality instrument for treatment of lumbar herniated disc. Spine (Phila Pa 1976). 2012;37(18):1609–16.CrossRef
19.
go back to reference Sepucha K, Mulley AG. A perspective on the patient’s role in treatment decisions. Med Care Res Rev. 2009;66(1_suppl):74S.CrossRef Sepucha K, Mulley AG. A perspective on the patient’s role in treatment decisions. Med Care Res Rev. 2009;66(1_suppl):74S.CrossRef
20.
go back to reference Valentine KD, Vo H, Fowler FJ, Jr., Brodney S, Barry MJ, Sepucha KR. Development and evaluation of the shared decision making process scale: a short patient-reported measure. Med Decis Mak. 2020:272989X20977878. Valentine KD, Vo H, Fowler FJ, Jr., Brodney S, Barry MJ, Sepucha KR. Development and evaluation of the shared decision making process scale: a short patient-reported measure. Med Decis Mak. 2020:272989X20977878.
21.
go back to reference Sepucha K, Feibelmann S, Chang Y, Clay CF, Kearing SA, Tomek I, et al. Factors associated with the quality of patients’ surgical decisions for treatment of hip and knee osteoarthritis. J Am Coll Surg. 2013;217(4):694–701.CrossRef Sepucha K, Feibelmann S, Chang Y, Clay CF, Kearing SA, Tomek I, et al. Factors associated with the quality of patients’ surgical decisions for treatment of hip and knee osteoarthritis. J Am Coll Surg. 2013;217(4):694–701.CrossRef
23.
go back to reference Team R. RStudio: Integrated Development for R. PBC, Boston: RStudio; 2020. Team R. RStudio: Integrated Development for R. PBC, Boston: RStudio; 2020.
24.
go back to reference Stacey D, Legare F, Lewis K, Barry MJ, Bennett CL, Eden KB, et al. Decision aids for people facing health treatment or screening decisions. Cochrane Database Syst Rev. 2017;4:CD001431. Stacey D, Legare F, Lewis K, Barry MJ, Bennett CL, Eden KB, et al. Decision aids for people facing health treatment or screening decisions. Cochrane Database Syst Rev. 2017;4:CD001431.
25.
go back to reference Alarcon-Ruiz CA, Zafra-Tanaka JH, Diaz-Barrera ME, Becerra-Chauca N, Toro-Huamanchumo CJ, Pacheco-Mendoza J, et al. Effects of decision aids for depression treatment in adults: systematic review. BJPsych Bull. 2020;1–10. Alarcon-Ruiz CA, Zafra-Tanaka JH, Diaz-Barrera ME, Becerra-Chauca N, Toro-Huamanchumo CJ, Pacheco-Mendoza J, et al. Effects of decision aids for depression treatment in adults: systematic review. BJPsych Bull. 2020;1–10.
26.
go back to reference Perestelo-Perez L, Rivero-Santana A, Sanchez-Afonso JA, Perez-Ramos J, Castellano-Fuentes CL, Sepucha K, et al. Effectiveness of a decision aid for patients with depression: a randomized controlled trial. Health Expect. 2017;20(5):1096–105.CrossRef Perestelo-Perez L, Rivero-Santana A, Sanchez-Afonso JA, Perez-Ramos J, Castellano-Fuentes CL, Sepucha K, et al. Effectiveness of a decision aid for patients with depression: a randomized controlled trial. Health Expect. 2017;20(5):1096–105.CrossRef
27.
go back to reference Winter SE, Barber JP. Should treatment for depression be based more on patient preference? Patient Prefer Adher. 2013;7:1047–57.CrossRef Winter SE, Barber JP. Should treatment for depression be based more on patient preference? Patient Prefer Adher. 2013;7:1047–57.CrossRef
28.
go back to reference Sonik RA, Creedon TB, Progovac AM, Carson N, Delman J, Delman D, et al. Depression treatment preferences by race/ethnicity and gender and associations between past healthcare discrimination experiences and present preferences in a nationally representative sample. Soc Sci Med. 2020;253:112939.CrossRef Sonik RA, Creedon TB, Progovac AM, Carson N, Delman J, Delman D, et al. Depression treatment preferences by race/ethnicity and gender and associations between past healthcare discrimination experiences and present preferences in a nationally representative sample. Soc Sci Med. 2020;253:112939.CrossRef
29.
go back to reference Hopwood M. The shared decision-making process in the pharmacological management of depression. Patient. 2020;13(1):23–30.CrossRef Hopwood M. The shared decision-making process in the pharmacological management of depression. Patient. 2020;13(1):23–30.CrossRef
30.
go back to reference Windle E, Tee H, Sabitova A, Jovanovic N, Priebe S, Carr C. Association of patient treatment preference with dropout and clinical outcomes in adult psychosocial mental health interventions: a systematic review and meta-analysis. JAMA Psychiat. 2020;77(3):294–302.CrossRef Windle E, Tee H, Sabitova A, Jovanovic N, Priebe S, Carr C. Association of patient treatment preference with dropout and clinical outcomes in adult psychosocial mental health interventions: a systematic review and meta-analysis. JAMA Psychiat. 2020;77(3):294–302.CrossRef
31.
go back to reference Mulley AG, Trimble C, Elwyn G. Stop the silent misdiagnosis: patients’ preferences matter. BMJ (Clin Res Ed). 2012;345:e6572. Mulley AG, Trimble C, Elwyn G. Stop the silent misdiagnosis: patients’ preferences matter. BMJ (Clin Res Ed). 2012;345:e6572.
32.
go back to reference Brody DJ, Pratt LA, Hughes JP. Prevalence of depression among adults aged 20 and over: United States, 2013–2016. NCHS Data Brief. 2018;303:1–8. Brody DJ, Pratt LA, Hughes JP. Prevalence of depression among adults aged 20 and over: United States, 2013–2016. NCHS Data Brief. 2018;303:1–8.
Metadata
Title
Psychometric evaluation of a decision quality instrument for medication decisions for treatment of depression symptoms
Authors
Suzanne Brodney
K. D. Valentine
Karen Sepucha
Publication date
01-12-2021
Publisher
BioMed Central
Published in
BMC Medical Informatics and Decision Making / Issue 1/2021
Electronic ISSN: 1472-6947
DOI
https://doi.org/10.1186/s12911-021-01611-w

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