Patient preferences for outcomes of depression treatment in Germany: A choice-based conjoint analysis study

Zimmermann, Thomas; Clouth, Johannes; Elosge, Michael; Heurich, Matthias; Schneider, Edith; Wilhelm, Stefan; Wolfrath, Anette

doi:10.1016/j.jad.2012.11.062

Cited by 50 publications

(55 citation statements)

References 22 publications

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“…Conjoint analysis has been used in evaluating clinical decision-making in depression (31), rheumatology (32), spinal surgery (33), diabetes management (34), and interhospital transport of critically ill patients (35,36). Recently, conjoint analysis was used to understand patient preferences for HIV medications (37).…”

Section: Overview Of Acbc Analysismentioning

confidence: 99%

Clinical Factors and the Decision to Transfuse Chronic Dialysis Patients

Whitman

Shreay

Gitlin

et al. 2013

Clinical Journal of the American Society of Nephrology

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SummaryBackground and objectives Red blood cell transfusion was previously the principle therapy for anemia in CKD but became less prevalent after the introduction of erythropoiesis-stimulating agents. This study used adaptive choice-based conjoint analysis to identify preferences and predictors of transfusion decision-making in CKD.Design, setting, participants, & measurements A computerized adaptive choice-based conjoint survey was administered between June and August of 2012 to nephrologists, internists, and hospitalists listed in the American Medical Association Masterfile. The survey quantified the relative importance of 10 patient attributes, including hemoglobin levels, age, occult blood in stool, severity of illness, eligibility for transplant, iron indices, erythropoiesis-stimulating agents, cardiovascular disease, and functional status. Triggers of transfusions in common dialysis scenarios were studied, and based on adaptive choice-based conjoint-derived preferences, relative importance by performing multivariable regression to identify predictors of transfusion preferences was assessed.Results A total of 350 providers completed the survey (n=305 nephrologists; mean age=46 years; 21% women). Of 10 attributes assessed, absolute hemoglobin level was the most important driver of transfusions, accounting for 29% of decision-making, followed by functional status (16%) and cardiovascular comorbidities (12%); 92% of providers transfused when hemoglobin was 7.5 g/dl, independent of other factors. In multivariable regression, Veterans Administration providers were more likely to transfuse at 8.0 g/dl (odds ratio, 5.9; 95% confidence interval, 1.9 to 18.4). Although transplant eligibility explained only 5% of decision-making, nephrologists were five times more likely to value it as important compared with non-nephrologists (odds ratio, 5.2; 95% confidence interval, 2.4 to11.1).Conclusions Adaptive choice-based conjoint analysis was useful in predicting influences on transfusion decisions. Hemoglobin level, functional status, and cardiovascular comorbidities most strongly influenced transfusion decision-making, but preference variations were observed among subgroups.

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Section: Overview Of Acbc Analysismentioning

confidence: 99%

Clinical Factors and the Decision to Transfuse Chronic Dialysis Patients

Whitman

Shreay

Gitlin

et al. 2013

Clinical Journal of the American Society of Nephrology

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“…Zimmerman et al (2013) found that adult patients currently or previously in treatment for depression generally placed the highest value on the ability to cope with activities of everyday living, and they also preferred being free of depression-related pain and side effects to being free of depressed mood. Another study examined patient preferences for outcomes of taking antidepressant medications and found that patients prioritized —in order of decreasing importance—improvement in depressive symptoms, cognitive function, social function, no anxiety, remission, and no relapse (Hummel et al, 2012).…”

Section: Discussionmentioning

confidence: 99%

“…The current study expands upon prior research (Wittink et al, 2010, 2013; Zimmermann et al, 2013) by assessing attribute-based initial (at intake) preferences for depression treatments in several distinct ways. First, we developed and examined three different methods of assessing attribute-based preferences.…”

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confidence: 94%

Methods for Incorporating Patient Preferences for Treatments of Depression in Community Mental Health Settings

Crits‐Christoph

Gallop

Diehl

et al. 2016

Adm Policy Ment Health

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We developed three methods (rating, ranking, and discrete choice) for identifying patients’ preferred depression treatments based on their prioritization of specific treatment attributes (e.g., medication side effects, psychotherapy characteristics) at treatment intake. Community mental health patients with depressive symptoms participated in separate studies of predictive validity (N=193) and short-term (one-week) stability (N=40). Patients who received non-preferred initial treatments (based on the choice method) switched treatments significantly more often than those who received preferred initial treatments. Receiving a non-preferred treatment at any point (based on rating and choice methods) was a significant predictor of longer treatment duration. All three methods demonstrated good short-term stability.

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“…En futuros estudios deberá ampliarse la información disponible sobre los múltiples condicionantes, referidos tanto a la situación sociodemográfica y al estado de salud y comorbilidad como al contexto psicoló-gico y social o a las características del tratamiento, que son capaces de intervenir no sólo en la efectividad y la adherencia al tratamiento antidepresivo [26][27][28][29][30][31] sino también en la satisfacción con el mismo [32][33] .…”

Section: Discussionunclassified