Hostname: page-component-8448b6f56d-c47g7 Total loading time: 0 Render date: 2024-04-23T20:55:01.260Z Has data issue: false hasContentIssue false

Primary-care patients' trade-off preferences with regard to antidepressants

Published online by Cambridge University Press:  07 January 2014

H. Wouters*
Affiliation:
Division of Pharmaco-epidemiology and Clinical Pharmacology, Faculty of Science, Utrecht Institute for Pharmaceutical Sciences (UIPS), Utrecht University, Utrecht, The Netherlands
L. Van Dijk
Affiliation:
NIVEL, Netherlands Institute for Health Services Research, Utrecht, The Netherlands
E. C. G. Van Geffen
Affiliation:
Division of Pharmaco-epidemiology and Clinical Pharmacology, Faculty of Science, Utrecht Institute for Pharmaceutical Sciences (UIPS), Utrecht University, Utrecht, The Netherlands
H. Gardarsdottir
Affiliation:
Division of Pharmaco-epidemiology and Clinical Pharmacology, Faculty of Science, Utrecht Institute for Pharmaceutical Sciences (UIPS), Utrecht University, Utrecht, The Netherlands Department of Clinical Pharmacy, Laboratory and Pharmacy Division, University Medical Centre Utrecht, The Netherlands
A. M. Stiggelbout
Affiliation:
Department of Medical Decision Making, Leiden University Medical Centre, Leiden, The Netherlands
M. L. Bouvy
Affiliation:
Division of Pharmaco-epidemiology and Clinical Pharmacology, Faculty of Science, Utrecht Institute for Pharmaceutical Sciences (UIPS), Utrecht University, Utrecht, The Netherlands
*
*Address for correspondence: H. Wouters, Ph.D., Division of Pharmaco-epidemiology and Clinical Pharmacology, Faculty of Science, Utrecht Institute for Pharmaceutical Sciences (UIPS), Utrecht University, PO Box 80082, 3508 TB, Utrecht, The Netherlands. (Email: j.wouters@uu.nl)

Abstract

Background

Antidepressants are frequently prescribed but results regarding their efficacy have been equivocal for different spectra of the severity continuum and their side-effects are often burdensome. Non-adherence is a likely consequence. The objective was therefore to examine patients’ trade-offs between the efficacy, side-effects and other drawbacks of antidepressants and whether these trade-offs predicted non-adherence.

Method

Trade-offs from 225 antidepressant users, recruited through community pharmacies, were assessed with an Adaptive Conjoint Analysis (ACA) choice task that was customized to each individual patient. From the estimated utilities, relative importance scores of treatment properties were calculated. Non-adherence was measured through self-report and pharmacy refill data.

Results

Relapse prevention and symptom relief were on average equally important. Side-effects were as important and the side-effect stomach and intestine complaints was on average even slightly more important than relapse prevention and symptom relief. Additional treatment with psychotherapy was preferred by 61% of the patients. A benefit/drawback ratio revealed that 18% of the patients did not consider the efficacy to outweigh the drawbacks. A higher benefit/drawback ratio was associated with a decreased odds of intentional non-adherence [odds ratio (OR) 0.2, 95% confidence interval (CI) 0.07–0.7, Wald = 6.7, p = 0.01).

Conclusions

For nearly one in five patients, the efficacy of antidepressants does not outweigh their drawbacks. Knowing patients’ trade-offs is likely to aid both physicians and patients to identify important treatment preferences, to improve adherence and to make more deliberate decisions on whether or not to continue treatment.

Type
Original Articles
Copyright
Copyright © Cambridge University Press 2014 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Ahmed, SF, Smith, WA, Blamires, C (2008). Facilitating and understanding the family's choice of injection device for growth hormone therapy by using conjoint analysis. Archives of Disease in Childhood 93, 110114.CrossRefGoogle ScholarPubMed
Aikens, JE, Nease, DE Jr., Nau, DP, Klinkman, MS, Schwenk, TL (2005). Adherence to maintenance-phase antidepressant medication as a function of patient beliefs about medication. Annals of Family Medicine 3, 2330.CrossRefGoogle ScholarPubMed
Beusterien, KM, Dziekan, K, Schrader, S, Flood, E, Flood, R, Shearer, A, Davis, EA (2007). Patient preferences among third agent HIV medications: a US and German perspective. AIDS Care 19, 982988.CrossRefGoogle ScholarPubMed
Brill, M (2004). Antidepressants and sexual dysfunction. Fertility and Sterility 81 (Suppl. 2), 3540.CrossRefGoogle ScholarPubMed
Brook, OH, van Hout, HP, Stalman, WA, de Haan, M (2006). Nontricyclic antidepressants: predictors of nonadherence. Journal of Clinical Psychopharmacology 26, 643647.CrossRefGoogle ScholarPubMed
Brown, C, Battista, DR, Bruehlman, R, Sereika, SS, Thase, ME, Dunbar-Jacob, J (2005). Beliefs about antidepressant medications in primary care patients: relationship to self-reported adherence. Medical Care 43, 12031207.CrossRefGoogle ScholarPubMed
Fraenkel, L, Bogardus, ST, Concato, J, Felson, DT, Wittink, DR (2004). Patient preferences for treatment of rheumatoid arthritis. Annals of Rheumatic Diseases 63, 13721378.CrossRefGoogle ScholarPubMed
Geddes, JR, Carney, SM, Davies, C, Furukawa, TA, Kupfer, DJ, Frank, E, Goodwin, GM (2003). Relapse prevention with antidepressant drug treatment in depressive disorders: a systematic review. Lancet 361, 653661.CrossRefGoogle ScholarPubMed
Gibbons, RD, Hur, K, Brown, CH, Davis, JM, Mann, JJ (2012). Benefits from antidepressants: synthesis of 6-week patient-level outcomes from double-blind placebo-controlled randomized trials of fluoxetine and venlafaxine. Archives of General Psychiatry 69, 572579.CrossRefGoogle ScholarPubMed
Gipdatabank (2012). Dutch College of Health Insurance [College voor Zorgverzekeringen].Google Scholar
Horne, R, Weinman, J (1999). Patients’ beliefs about prescribed medicines and their role in adherence to treatment in chronic physical illness. Journal of Psychosomatic Research 47, 555567.CrossRefGoogle ScholarPubMed
Kalichman, SC, Cain, D, Fuhrel, A, Eaton, L, Di Fonzo, K, Ertl, T (2005). Assessing medication adherence self-efficacy among low-literacy patients: development of a pictographic visual analogue scale. Health Education Research 20, 2435.CrossRefGoogle ScholarPubMed
Kirsch, I, Deacon, BJ, Huedo-Medina, TB, Scoboria, A, Moore, TJ, Johnson, BT (2008). Initial severity and antidepressant benefits: a meta-analysis of data submitted to the Food and Drug Administration. PLoS Medicine 5, e45.CrossRefGoogle ScholarPubMed
Masand, PS (2003). Tolerability and adherence issues in antidepressant therapy. Clinical Therapeutics 25, 22892304.CrossRefGoogle ScholarPubMed
Michie, S, Dormandy, E, Marteau, TM (2002). The multi-dimensional measure of informed choice: a validation study. Patient Education and Counseling 48, 8791.CrossRefGoogle Scholar
Morisky, DE, Ang, A, Krousel-Wood, M, Ward, HJ (2008). Predictive validity of a medication adherence measure in an outpatient setting. Journal of Clinical Hypertension (Greenwich) 10, 348354.CrossRefGoogle Scholar
Pampallona, S, Bollini, P, Tibaldi, G, Kupelnick, B, Munizza, C (2002). Patient adherence in the treatment of depression. British Journal of Psychiatry 180, 104109.CrossRefGoogle ScholarPubMed
Pieterse, AH, Berkers, F, Baas-Thijssen, MC, Marijnen, CA, Stiggelbout, AM (2010). Adaptive Conjoint Analysis as individual preference assessment tool: feasibility through the internet and reliability of preferences. Patient Education and Counseling 78, 224233.CrossRefGoogle Scholar
Pratt, LA, Brody, DJ, Quiping, G (2011). Antidepressant Use in Persons Aged 12 and Over: United States, 2005–2008. Centers for Disease Control and Prevention, NCHS Data Brief, no. 76.Google ScholarPubMed
Sawtooth (2007). The ACA/Web v6.0 Technical Paper. Sawtooth Software: Sequim, WA, USA.Google Scholar
Sirey, JA, Bruce, ML, Alexopoulos, GS, Perlick, DA, Friedman, SJ, Meyers, BS (2001). Stigma as a barrier to recovery: perceived stigma and patient-rated severity of illness as predictors of antidepressant drug adherence. Psychiatric Services 52, 16151620.CrossRefGoogle ScholarPubMed
ten Doesschate, MC, Bockting, CL, Schene, AH (2009). Adherence to continuation and maintenance antidepressant use in recurrent depression. Journal of Affective Disorders 115, 167170.CrossRefGoogle ScholarPubMed
Uher, R, Farmer, A, Henigsberg, N, Rietschel, M, Mors, O, Maier, W, Kozel, D, Hauser, J, Souery, D, Placentino, A, Strohmaier, J, Perroud, N, Zobel, A, Rajewska-Rager, A, Dernovsek, MZ, Larsen, ER, Kalember, P, Giovannini, C, Barreto, M, McGuffin, P, Aitchison, KJ (2009). Adverse reactions to antidepressants. British Journal of Psychiatry 195, 202210.CrossRefGoogle ScholarPubMed
van Geffen, EC, Kruijtbosch, M, Egberts, AC, Heerdink, ER, van Hulten, R (2009). Patients’ perceptions of information received at the start of selective serotonin-reuptake inhibitor treatment: implications for community pharmacy. Annals of Pharmacotherapy 43, 642649.CrossRefGoogle ScholarPubMed
van Geffen, EC, van der Wal, SW, van Hulten, R, de Groot, MC, Egberts, AC, Heerdink, ER (2007). Evaluation of patients’ experiences with antidepressants reported by means of a medicine reporting system. European Journal of Clinical Pharmacology 63, 11931199.CrossRefGoogle ScholarPubMed
van Schaik, DJ, Klijn, AF, van Hout, HP, van Marwijk, HW, Beekman, AT, de Haan, M, van Dijck, R (2004). Patients’ preferences in the treatment of depressive disorder in primary care. General Hospital Psychiatry 26, 184189.CrossRefGoogle ScholarPubMed
Yen, CF, Lee, Y, Tang, TC, Yen, JY, Ko, CH, Chen, CC (2009). Predictive value of self-stigma, insight, and perceived adverse effects of medication for the clinical outcomes in patients with depressive disorders. Journal of Nervous and Mental Disease 197, 172177.CrossRefGoogle ScholarPubMed
Supplementary material: File

Wouters Supplementary Material

Appendix

Download Wouters Supplementary Material(File)
File 108.5 KB