The generalizability of psychotherapy efficacy trials in major depressive disorder: an analysis of the influence of patient selection in efficacy trials on symptom outcome in daily practice
- Rosalind van der Lem†1, 4Email author,
- Wouter WH de Wever1,
- Nic JA van der Wee1, 2,
- Tineke van Veen1,
- Pim Cuijpers3 and
- Frans G Zitman1
© van der Lem et al.; licensee BioMed Central Ltd. 2012
Received: 29 February 2012
Accepted: 25 October 2012
Published: 8 November 2012
Treatment guidelines for major depressive disorder (MDD) are based on results from randomized clinical trials, among others in psychotherapy efficacy trials. However, patients in these trials differ from routine practice patients since trials use stringent criteria for patient selection. It is unknown whether the exclusion criteria used in psychotherapy efficacy trials (PETs) influence symptom outcome in clinical practice. We first explored which exclusion criteria are used in PETs. Second, we investigated the influence of commonly used exclusion criteria on symptom outcome in routine clinical practice.
We performed an extensive literature search in PubMed, PsycInfo and additional databases for PETs for MDD. From these, we identified commonly used exclusion criteria. We investigated the influence of exclusion criteria on symptom outcome by multivariate regression models in a sample of patients suffering from MDD according to the MINIplus from a routine clinical practice setting (n=598). Data on routine clinical practice patients were gathered through Routine Outcome Monitoring.
We selected 20 PETs and identified the following commonly used exclusion criteria: ‘a baseline severity threshold of HAM-D≤14’, ‘current or past abuse or dependence of alcohol and/or drugs’ and ‘previous use of medication or ECT’. In our routine clinical practice sample of patients suffering from MDD (n=598), presence of ‘current or past abuse of or dependence on alcohol and/or drugs’ had no significant influence on outcome.‘Meeting a baseline severity threshold of HAM-D≤14’ and ‘previous use of medication or ECT’ were associated with better outcome, but the explained variance of the models was very small (R2=2-11%).
The most consistently used exclusion criteria are not a major threat to the generalizability of results found in PETs. However, PETs do somewhat improve their results by exclusion of patients with minor depression and patients who used antidepressants prior to psychotherapy.
KeywordsMajor depressive disorder Psychotherapy efficacy trials Exclusion criteria Generalizability Treatment outcome Symptom outcome Routine clinical practice Routine outcome monitoring
In the development of guidelines, randomised controlled trials (RCTs) and meta-analyses thereof are considered the most reliable source of evidence. However, it is unknown to what extent the results of these RCTs are generalizable to routine clinical practice. In RCTs, much effort is put in optimising the internal validity, i.e. the possibility to determine to what extent the observed efficacy is reproducible and attributable to the investigated treatment. The internal validity of trials is improved by the use of strict criteria for patient selection. While this is very important for methodological and ethical reasons, it has been demonstrated that the use of eligibility criteria may well hamper the generalizability (external validity) of the results [1–6]. In trials of antidepressant treatment of major depression (MDD), a fairly consistent set of exclusion criteria is used . Based on this set of criteria, we and others found that only 12-34% of the patients who received treatment for MDD in routine outpatient psychiatric care settings and fee-for-service private practice were eligible for participation in an antidepressant efficacy trial (AET) [1, 3]. Some studies showed that eligible patients had a better treatment outcome than non-eligible patients in routine outpatient care . In contrast, we found that only exclusion of minor depression was associated with better treatment outcome . Thus, the AET exclusion criteria had a limited influence on treatment outcome.
Whereas the influence of exclusion criteria on treatment outcome is a topic in research on AETs, this is not the case for research on psychotherapy efficacy trials (PETs). To our best knowledge, only one study reported on the eligibility of ‘real life’ patients for PETs. A total of 95% of patients with several common psychiatric disorders were eligible for at least one PET and 75% for two or more [10, 11]. However, the authors did not investigate the comparability of the exclusion criteria used in the PETs. Lack of consistency in this respect may diminish the unequivocality of the results of PETs and thereby the generalizability of the results to ‘real life’ patients.
In this paper, we present the effects of the most used exclusion criteria of PETs on eligibility of ‘real life’ patients. First, we identified the exclusion criteria used in PETs. Subsequently, we examined the proportion of patients with unipolar depression eligible for PETs, applying the most used exclusion criteria, to a sample of ‘real life’ patients with major depressive disorder (MDD) from the Leiden Routine Outcome Monitoring Study . Finally, we investigated the influence of eligibility for PET on symptom outcome from the first treatment step, in this sample.
Identification of exclusion criteria in PETs
In line with previous research on the consistency in the use of exclusion criteria in AETs , we performed a search in PubMed and PsycInfo for publications in English on PETs for adult patients suffering from MDD. Furthermore, we checked the reference lists of the included publications for relevant studies. We also consulted: http://www.psychotherapyrcts.org. This website is composed by a group of researchers from the VU University Amsterdam, the Netherlands, and contains a database of RCTs and comparative studies of the effect of psychotherapy on adult depression. We selected PETs in which outpatient treatment was investigated and in which one of the comparison groups was treated with either only individual cognitive behavioral therapy (CBT) or individual interpersonal therapy (IPT) as these two treatments are usually incorporated in treatment guidelines. For all the studies that met our inclusion criteria, we retrieved eligibility criteria from their Methods sections.
The Dutch mental health care system and treatment steps for MDD
The Dutch mental health care system is organized in a stepped-care-manner and uses treatment guidelines which are based on evidence from AETs and PETs. Patients with mood complaints visit their general practitioner (GP) first. GPs will refer patients with a first episode of a mild depression either to counseling sessions or prescribe antidepressants. The Dutch and many other guidelines recommend that patients with moderate depression should be treated with CBT or IPT or pharmacotherapy, based on the patient’s preferences [13–15]. Reasons to refer patients to a regional mental health provider (RMHP) are a preference of patients for psychotherapy (only provided by psychotherapists), severity or recurrence of depression, and non-response to the GP’s treatment. After baseline-assessment and a clinical interview at our RMHP, patients are offered treatment steps as recommended by the guidelines. If patients are not too severely ill and have sufficient mastery of the Dutch language, they are eligible for psychotherapy when this is their preferred treatment.
Data on ‘real life’ patients were drawn from the Leiden Routine Outcome Monitoring Study . In 2002, the RMHP Rivierduinen (service area with 1.1 million inhabitants), in collaboration with the University Medical Hospital Leiden, implemented ROM and evidence-based, stepped care protocols. In ROM, all patients referred to the RMPH for treatment of a mood, anxiety or somatoform disorder have an extensive baseline assessment. Treatment progress is then assessed at three to four monthly intervals and before starting a new treatment step. The baseline assessment comprises, besides a clinical interview, a standardized diagnostic interview (Mini-International Neuropsychiatric Interview Plus , the collection of sociodemographic and socioeconomic data, the administration of disease-specific severity-scales, and general measures of health. All ROM instruments are administered by independent and specially trained research nurses. For a more extensive description of ROM, we refer to the design paper . Patients were between 18–65 years of age, referred for treatment between January 2002 and January 2007 to the RMHP Rivierduinen, and had at least one follow-up assessment.
Since the goal of this research was to evaluate the generalizability of the results of psychotherapy trials, which generally use symptom reduction or remission on an observer rated instrument as primary outcome, we used the data collected with equivalent instruments in our ROM system. In ROM, MDD was diagnosed with the Dutch version of the MINI-Plus and depression severity was assessed with the Montgomery Asberg Depression Rating Scale (MADRS, ). To explore putative selection bias, we performed a lost to follow up analysis by comparison of patients only assessed at baseline with those included in our study. We investigated the eligibility and the effects of eligibility on outcome in all MDD patients referred for treatment irrespective of the treatment they received (antidepressants or psychotherapy). Since the type of treatment that patients receive might influence outcome, we adjusted for ‘treatment modality’ in these analyses. To examine the effects of eligibility to PETs on treatment results of psychotherapy specifically, we also conducted the analyses in patients who were actually treated with CBT or IPT.
Effects of exclusion criteria on symptom outcome in daily practice
In line with previous research on exclusion criteria in AETs [1–3, 18, 19], we explored the influence on outcome of exclusion criteria used in >75% of the PETs. In line with the methodology of PETs, we defined outcome in our daily practice population as the extent of improvement on the MADRS (difference between baseline and post treatment), and in line with the methodology of both AETs and PETs also as proportion of responders (50% reduction of symptoms), and as proportion of remitters (MADRS ≤10)  after the first step treatment for MDD.
The effects of the exclusion criteria on outcome were computed by univariate and multivariate linear and logistic regression analyses. In the multivariate (adjusted) analyses on each individual exclusion criterion, the effects of the exclusion criterion on outcome were adjusted for age, gender and all the other exclusion criteria. In the analysis on all MDD patients we also adjusted for ‘treatment modality’ (type of treatment that the patients received: antidepressants, psychotherapy or a combination of both). For the lost to follow-up analyses, independent sample t-tests and Chi-square analyses were carried out. The statistical software package SPSS 16.0 was used.
Identification of exclusion criteria in PETS
Our PubMed search yielded 3931 potentially relevant titles of studies. Another 203 potentially relevant studies were retrieved from reference lists of manuscripts and from the database of the VU University Amsterdam. The majority of these studies were carried out in specific subgroups, such as elderly, ethnic minorities or patients with specific somatic co morbidity (n=4085). Therefore, these studies were excluded. Another 22 manuscripts were excluded because they were duplicates between the three databases. Of the remaining 27 PETs, seven were excluded for the following reasons: in one PET the psychotherapeutic intervention appeared to include a prominent role for the spouse of the patients ; in another, the use of in- and exclusion criteria was mentioned but not made explicit  ; five PETs were excluded as they used the same datasets as other studies already part of our review . Finally, 20 PETs could be included [28–42]; [43–47]. In 18 studies (90%), individual CBT was one of the intervention arms and in 5 studies (25%) individual IPT was. In 12 PETs (60%), antidepressants (most frequently tricyclic antidepressants) were used as comparison treatment. No PETs used treatment as usual or a waiting list group as control group.
(Categories of) exclusion criteria found in psychotherapy efficacy trials
Categorical exclusion criterion
Subtypes of exclusion criteria included in Category*
Proportion of trials using the criteria
Bipolar disorder or history of (hypo-) manic episode
Schizophrenia, a history of psychosis or psychotic features
Current or past abuse or dependence on alcohol and/or drugs
- Alcohol abuse or dependence
- Drug abuse or dependence
Not meeting a minimum severity threshold
Previous use of medication or ECT
- ECT less than 6 months before start of trial
- History of use of a tricyclic antidepressant
- Use of amitriptyline less than 3 months prior to trial
- Use of imipramine less than 3 months prior to trial
- Use of paroxetine less than 1 year prior to trial
- Use of any antidepressant less than 2 months prior to trial
- Use of any antidepressant less than 1 month prior to trial
- Use of any antidepressant less than 2 weeks prior to trial
- Current use of an antidepressant
Co morbid personality disorder
- Borderline personality disorder
- Antisocial personality disorder
- Schizotypical personality disorder
- Cognitive disorders in general
- Organic brain syndrome
- Delirium or dementia
- Mental retardation
- Somatic co morbidity in general
- Co morbid somatisation disorder
Anxiety disorder as primary diagnosis
- Generalized anxiety disorder
- Specific phobia
- Obsessive-compulsive disorder
- Panic disorder
Contra indication for the use of medication in general
Previous psychotherapy, with or without success
History of psychotherapy
- Psychotherapy less than 5 years prior to trial
- Psychotherapy less than 2 years prior to trial
- Psychotherapy less than 1 year prior to trial
- Psychotherapy less than 2 months prior to trial
- Current psychotherapy
Psychiatric co morbidity in general, including eating disorders
- Need for immediate intervention
- Indication for admission
Baseline features and symptom outcome in ROM patients suffering from MDD
All MDD patients (n=598)
Patients who received psychotherapy only (n=80)
Age (in years)
39.3 (SD 11.3)
36.2 (SD 10.8)
Gender (% female)
66.7% (n= 399)
MADRS pre treatment
25.9 (SD 6.5)
24.1 (SD 6.0)
MADRS post treatment
18.2 (SD 9.4)
16.5 (SD 9.1)
Proportion of responders2
Proportion of remitters3
Effects of exclusion criteria on symptom outcome
As we confined our study to unipolar depression, we excluded patients with a ‘bipolar disorder or a history of a (hypo-) manic episode’ and patients with a ‘history of schizophrenia or psychosis or psychotic features’ from our daily practice sample. Hence, we did not explore the effects of these two frequently used exclusion criteria in PETs. We did analyze the effects of the exclusion criteria ‘current or past abuse or dependence on alcohol and/or drugs’, ‘not meeting a minimum severity threshold’ and ‘previous use of medication or ECT’ on outcome.
In the literature, the baseline severity threshold (a cut-off score of 14 on the HAM-D-17 for PETs) is usually defined as a score on the HAM-D-17. In our routine clinical practice (ROM), depression severity is assessed with the MADRS. To enable comparison, we converted the scores MADRS of the ROM patients into HAM-D-17 scores with the equation proposed by Zimmerman : MADRS = 1.43 X HAM-D + 0.87. Recently, the Item Response Theory (IRT) was suggested to be a more reliable method to convert MADRS scores into HRSD17 scores. As a sensitivity analysis, we also used the IRT method  procedures yielded similar results for the conversion of the MADRS scores into HAM-D-17 scores.
Exclusion criteria in ROM patients suffering from MDD
All MDD patients (n=598)
Patients who received psychotherapy only (n=80)
Current or past abuse or dependence of drugs
Current or past abuse or dependence of alcohol
Not Meeting Baseline Severity Threshold
Previous use of medication or ECT
(all patients received antidepressants, none of the patients received ECT prior to psychotherapy
Missing data: n=77
Missing data: n=0
Effects of the exclusion criteria on treatment outcome in ROM patients suffering from MDD
Definition of outcome
Influence on outcome in all patients
Influence on outcome in all patients adjusted1
Influence on outcome in psychotherapy patients
Influence on outcome in psychotherapy patients adjusted1
Current or past abuse or dependence on alcohol
B = 2.77
95% CI −0.85-6.39
95% CI: -1.50 -5.68
Proportion of responders
OR = 2.12
95% CI 0.80-5.63
95% CI 0.80-7.03
Proportion of remitters
OR = 1.95
95% CI 0.67-5.68
95% CI 0.61-7.27
Current or past abuse or dependence on drugs
B = − 0.17
95% CI −5.35-5.02
95% CI: -6.04 -3.79
95% CI −1.04 – 7.78
Proportion of responders
OR = 0.73
95% CI 0.24-2.22
95% CI 0.22-2.15
95% CI 0.17-17.40
95% CI 0.13-17.78
Proportion of remitters
OR = 0.72
95% CI 0.23-2.54
95% CI 0.07-10.39
Not meeting a minimum baseline severity threshold
B = 6.39*
95%CI 4.56-8.21 p<0.001
95%CI 5.31-9.14 p<0.001
95% CI −1.04–7.78
95% CI −8.51-7.85
Proportion of responders
OR = 1.28
95% CI 0.83-2.00
95% CI 0.94-2.47
95% CI 0.33-2.45
95% CI 0.31-2.50
Proportion of remitters
OR = 0.46*
95% CI 0.33-0.84
95% CI 0.19-1.49
95% CI 0.17-1.45,
Previous use of medication or ECT
B = 1.26
95%CI −0.45 – 2.83 p=0.15
95% CI −0.67-11.65
Proportion of responders
OR = 1.47
95% CI 1.0-2.17
95% CI 0.93-2.08
95% CI 0.82-55.83
95% CI 0.61-48.68
Proportion of remitters
OR = 1.53
95% CI 1.00-2.34
95% CI 0.88-2.13
95% CI 0.55-38.01
95% CI 0.44-37.26
For all 598 patients with MDD, exclusion of patients meeting the criterion ‘previous use of medication or ECT’ was associated with a more favourable proportion of responders and remitters in the remaining sample (OR 1.53, CI 1.00-2.34, p=0.05, unadjusted). Among the 80 psychotherapy patients, those who met the criterion ‘previous use of medication or ECT’ had 7.2 point less improvement on the MADRS than others (95% CI 1.94 -13.30, p<0.01, unadjusted). However, in the joint analysis with the other exclusion criteria, the associations were no longer significant.
The explained variance (R2) of the joint influence of the eligibility criteria respectively for all patients and psychotherapy patients was very small (adjusted for age, gender and type of treatment): 9 and 11% for the improvement on the MADRS; 2 and 7% for the proportion of patients who responded to therapy (50% reduction of symptoms); 4 and 7% for proportion of patients who reached remission (MADRS ≤10).
We evaluated the criteria for patient selection in PETs in 598 outpatients with a unipolar major depressive disorder in a Dutch general psychiatric outpatient setting. We tried to follow the model developed for the consistency of exclusion-criteria used in AETs [1, 18]. However, we found a lack of consistency in the use of exclusion criteria in PETs. Only four criteria were used in at least 75% of the studies: ‘bipolar disorder or a history of a (hypo-) manic episode’; ‘schizophrenia, a history of psychosis or psychotic features’; ‘current or past abuse of or dependence on alcohol and/or drugs’ and ‘not meeting a minimum severity threshold’ (most common: cut-off score 14 on the HAM-D-17). The criterion ‘previous use of medication or ECT’, was used in 70% of the studies and would lead to exclusion of the largest percentage (44.1%) of patients from our sample. For patients receiving psychotherapy only, the largest percentage (30.8%) would be excluded because of the criterion ‘not meeting minimum severity’. In addition, we examined the influence of exclusion criteria for PETs on symptom outcome in our sample. The influence of exclusion-criteria on improvement, response and remission was small, suggesting that the most consistently used exclusion criteria are not a major threat to the generalizability of the efficacy results found in PETs.
Comparison of exclusion criteria used in PETs to those used in AETs
To our knowledge there are no other studies on the effects of the exclusion criteria used in PETs on the generalizability to routine clinical practice. When we compared our results to those obtained in studies on the generalizability of AETs [2, 18], there were some notable differences. First, PETs are less consistent in the use of exclusion criteria than AETs. The exclusion criteria ‘previous use of medication or ECT, ‘cognitive disorders’ and ‘somatic co-morbidity’ were only found in PETs. Furthermore, PETs use a lower minimum severity threshold than AETs (14 versus 18 on the HAM-D-17) and exclude cluster B personality pathology more often (57% versus 21%). However, they less often use psychiatric co-morbidity and suicide risk (resp. 24% versus 59% and 43% versus 75%) as exclusion criteria. Differences between PETs and AETs may have to do with the conduct of many AETs by pharmaceutical companies, especially for drug registration purposes. These AETs consequently have to adhere to standard exclusion criteria formulated by the authorities. Furthermore, pharmaceutical companies may want to maximize the likelihood to find an effect by selection of patients who are more severely ill. They may also minimize the risk of having their drug associated with suicide by exclusion of suicidal patients. Although not reported in PETs, this fear may also have led to patient exclusion in PETs.
Comparison with previous research on effects of exclusion criteria on symptom outcome
We found that the exclusion of patients who are ‘not meeting the baseline severity threshold of HAM-D ≤14’ is associated with a smaller proportion of patients who reach remission (OR 0.53), while in our previous research in the same sample we found a positive association between exclusion of patients with a baseline severity of HAM-D≤17 (used in AETs) and probability of remission (OR 2.0) . This finding may be explained by the fact that there were many patients in our sample who had a baseline severity between HAM-D 14 and 17 (n= 107, 18% of our study sample) who did not reach remission (78% of these 107 patients). We are currently investigating the characteristics of this specific group of patients with mild depressive symptomatology who seem to be at risk for a more chronic course of their depressive disorder. Furthermore, the treatment success in our sample was rather modest, yet in line with other research done in daily practice . We commented on the differences between treatment outcome in daily practice and RCTs in previous research . Interestingly, the within-group effect size of MDD treatment in our ROM population was relatively high compared to the modest remission and response percentages. An explanation for this discrepancy may be that we computed all symptom outcomes for ROM reported in Table 2, including effect sizes, on the MADRS. However, in PETs, remission and response are often measured on the MADRS or HAM-D, but effect sizes are usually computed on the BDI-II . In our previous report, we investigated the effect sizes for MDD treatment on the BDI-II in our ROM population  and found indeed smaller effect sizes (0.85 for individual psychotherapy) than the ones based on the MADRS reported in the present study. Another explanation is that the standard deviation on the MADRS at baseline is relatively small in our ROM population, perhaps as a result of the assessment by specially trained independent research nurses.
We found that patients who used medication prior to psychotherapeutic treatment seem to benefit less from psychotherapy. Probably, these patients are non-responders or partial responders in a first treatment step for MDD and may form a more treatment resistant group. Hence, it is possible that PETs efficacy results were increased by exclusion of these patients. However, in routine clinical practice, many patients have used or are on medication before they start psychotherapy.
In line with our research on the influence of exclusion criteria of AETs on treatment outcome , we found an explained variance that was very small. This suggests that although many ‘real life’ patients are not eligible for RCTs on MDD [1, 3, 6, 7], the use of eligibility criteria might not jeopardize the generalizability of the results in ‘real life’ settings. In previous research was found that patients who were eligible for AETs had a favorable treatment outcome , but the explained variance was not explored.
Most likely many other factors, besides eligibility, contribute to differences in outcome between RCTs and daily practice, like the Hawthorne effect , sociodemographic and socio-economic differences between RCT participants and ‘real life’ patients  and the extent of protocol adherence of both therapist and patient, in which is highly invested in RCTs and likely not to the same extent in daily practice. We elaborated more extensively on the difference between efficacy and effectiveness in a previous report . Further research on factors that contribute to differences in outcome between trials and daily practice is highly recommended.
We used a large sample of patients with MDD from routine outpatient clinical practice (the Leiden Routine Outcome Monitoring study ), for which detailed data were available, enabling analysis of a subsample of patients receiving only psychotherapy. The use of ROM data provided comprehensive data that are very representative and generalizable to ‘real life daily practice’ since there are nearly no restrictions for participation. Furthermore, we consider the fact that the Dutch healthcare system provides unrestricted access to mental healthcare as a strong quality of this research. Unrestricted access diminishes the possibility of selection bias even further.
The large variability in which exclusion criteria are defined in PETs made loss of information unavoidable. In addition, in our patient sample, there was a considerable loss to follow-up of outcome measurement. However, the study sample follow-up group was similar to the lost-to-follow-up group for most sociodemographic and clinical features. Patients were lost to follow-up because they dropped out of treatment or, in 38% of the cases, remained in treatment without follow-up assessments. Loss to follow up is a problem in all studies with a more naturalistic design. For example, STAR*D reached a loss-to-follow-up of 48% in step II of the study .
In line with psychotherapy efficacy trials, we specifically chose to define outcome as symptom reduction or remission on an observer rated instrument in order to evaluate the generalizability of results from efficacy trials. For patients, other treatment goals might also be important, such as improvement of social functioning or quality of life. For therapists, other methods of defining treatment success, might be more useful such as clinically significant change . Future effectiveness research, incorporating more definitions of outcome that are relevant to patients is therefore highly recommended. ROM can be a very useful methodology to support effectiveness research, and will also provide data to improve effectiveness research itself, as it enables a comparison between different types of treatment in daily practice, where one daily practice treatment can be a control treatment for the one under investigation. It will also provide data to explore the role of comorbid disorders in treatment and to improve diagnostic procedures in daily practice. Since there is a growing awareness that there is not just one type of major depressive disorder, in the future, ROM will hopefully be helpful in the step towards personalised MDD treatment instead of “one treatment for all”.
Another limitation of this study is the rather small size of the patient group receiving psychotherapy only. More patients received psychotherapy in combination with antidepressants, which in many cases were already prescribed by the referring physician. Unfortunately, the small number of patients with documented “current or past abuse or dependence of alcohol and/or drugs” in our psychotherapy sample prohibited exploration of this criterion. Finally, an extensive Routine Outcome Monitoring system including diagnostic instruments, symptom severity scales, both observer-rated and self report, and generic instruments measuring quality of life and social functioning is a costly investment for psychiatric practice and criticism is often heard, especially from policy makers. However, besides the opportunities to improve the quality of treatments in daily practice and the possibilities to scientifically evaluate questions that rise from daily practice, it also might be cost-effective. Since ROM provides information on treatment progress, it might enable the clinician to move to a next treatment step in case of stagnation in an earlier stage. Since ROM is relatively young, research in the field of its cost-effectiveness has, to our knowledge, not been carried out yet. It is, however, highly recommended.
We found that patient selection in psychotherapy trials in MDD lacks consistency. A consistent set of exclusion criteria is recommended in order to facilitate comparison between trials and especially for daily practice to evaluate the generalizability of their results. We also found that the most consistently used exclusion criteria are not a major threat to the generalizability of results found in PETs. However, PETs do somewhat improve their results by exclusion of patients with minor depression and patients who used antidepressants prior to psychotherapy.
Ms. Wang, Ms Minkenberg, Ms Smalen and Ms Bekke helped in the conductance of the chart review. Mrs. R van der Lem (one of the first authors) has received a research grant form ZonMW (grant number 100-002-026), an independent research fund from the Dutch Government.
- Zimmerman M, Mattia JI, Posternak MA: Are subjects in pharmacological treatment trials of depression representative of patients in routine clinical practice?. Am J Psychiatry. 2002, 159: 469-473. 10.1176/appi.ajp.159.3.469.View ArticlePubMedGoogle Scholar
- Zimmerman M, Chelminski I, Posternak MA: Exclusion criteria used in antidepressant efficacy trials: consistency across studies and representativeness of samples included. J Nerv Ment Dis. 2004, 192: 87-94. 10.1097/01.nmd.0000110279.23893.82.View ArticlePubMedGoogle Scholar
- Zetin M, Hoepner CT: Relevance of exclusion criteria in antidepressant clinical trials: a replication study. J Clin Psychopharmacol. 2007, 27: 295-301. 10.1097/JCP.0b013e318058263f.View ArticlePubMedGoogle Scholar
- Tunis SR, Stryer DB, Clancy CM: Practical clinical trials: increasing the value of clinical research for decision making in clinical and health policy. JAMA. 2003, 290: 1624-1632. 10.1001/jama.290.12.1624.View ArticlePubMedGoogle Scholar
- Wells KB: Treatment research at the crossroads: the scientific interface of clinical trials and effectiveness research. Am J Psychiatry. 1999, 156: 5-10.View ArticlePubMedGoogle Scholar
- Partonen T, Sihvo S, Lonnqvist JK: Patients excluded from an antidepressant efficacy trial. J Clin Psychiatry. 1996, 57: 572-575. 10.4088/JCP.v57n1203.View ArticlePubMedGoogle Scholar
- van der Lem R, van der Wee NJ, Van VT, Zitman FG: The generalizability of antidepressant efficacy trials to routine psychiatric out-patient practice. Psychol Med. 2011, 41: 1353-1363. 10.1017/S0033291710002175.View ArticlePubMedGoogle Scholar
- Wisniewski SR, Rush AJ, Nierenberg AA, Gaynes BN, Warden D, Luther JF, et al: Can phase III trial results of antidepressant medications be generalized to clinical practice? A STAR*D report. Am J Psychiatry. 2009, 166: 599-607. 10.1176/appi.ajp.2008.08071027.View ArticlePubMedGoogle Scholar
- Lem R, Stamsnieder P, Wee N, Veen T, Zitman FG: Socio-demographic features in randomized controlled trials for major depression: generalizability and individualization. Int J Person Cent Medicine. 2011, 1: 268-278.Google Scholar
- Stirman SW, Derubeis RJ, Crits-Christoph P, Rothman A: Can the randomized controlled trial literature generalize to nonrandomized patients?. J Consult Clin Psychol. 2005, 73: 127-135.View ArticlePubMedGoogle Scholar
- Stirman SW, Derubeis RJ, Crits-Christoph P, Brody PE: Are samples in randomized controlled trials of psychotherapy representative of community outpatients? A new methodology and initial findings. J Consult Clin Psychol. 2003, 71: 963-972.View ArticlePubMedGoogle Scholar
- de Beurs E, den Hollander-Gijsman ME, van Rood YR, van der Wee NJ, Giltay EJ, van Noorden MS, et al: Routine outcome monitoring in the Netherlands: practical experiences with a web-based strategy for the assessment of treatment outcome in clinical practice. Clin Psychol Psychother. 2011, 18: 1-12. 10.1002/cpp.696.View ArticlePubMedGoogle Scholar
- Karasu T, Gelenberg AJ, Merriam A, Wang P: Practice guidelines for the treatment of patients with major depressive disorder. 2000, American Psychiatric Association, SecondGoogle Scholar
- Anderson I, Pilling S, Barnes A, Bayliss L, Bird V: The NICE guideline on the treatment and management of depression in adults. London: The British Psychological Society & The Royal College of Psychiatrists, Updated version 2010. 1-1-2009
- National Taskforce Guideline: Multidisciplinary guidelines for diagnostics and treatment of adult patients with major depressive disorder. The Netherlands: Stuurgroep Richtlijnen/ Trimbos Institute, revised version. 1-1-2005
- Sheehan DV, Lecrubier Y, Sheehan KH, Amorim P, Janavs J, Weiller E, et al: The mini-international neuropsychiatric interview (M.I.N.I.): the development and validation of a structured diagnostic psychiatric interview for DSM-IV and ICD-10. J Clin Psychiatry. 1998, 20 (59 Suppl): 22-33.Google Scholar
- Asberg M, Montgomery SA, Perris C, Schalling D, Sedvall G: A comprehensive psychopathological rating scale. Acta Psychiatr Scand Suppl. 1978, 5-27.Google Scholar
- Posternak MA, Zimmerman M, Keitner GI, Miller IW: A reevaluation of the exclusion criteria used in antidepressant efficacy trials. Am J Psychiatry. 2002, 159: 191-200. 10.1176/appi.ajp.159.2.191.View ArticlePubMedGoogle Scholar
- Lem R, Wee N, Veen T, Zitman FG: The generalizability of antidepressant efficacy trials to routine psychiatric out-patient practice. Psychol Med. 2010Google Scholar
- Zimmerman M, Chelminski I, Posternak M: A review of studies of the montgomery-asberg depression rating scale in controls: implications for the definition of remission in treatment studies of depression. Int Clin Psychopharmacol. 2004, 19: 1-7. 10.1097/00004850-200401000-00001.View ArticlePubMedGoogle Scholar
- McLean PD, Hakstian AR: Clinical depression: comparative efficacy of outpatient treatments. J Consult Clin Psychol. 1979, 47: 818-836.View ArticlePubMedGoogle Scholar
- Gardner P, Oei TP: Depression and self-esteem: an investigation that used behavioral and cognitive approaches to the treatment of clinically depressed clients. J Clin Psychol. 1981, 37: 128-135. 10.1002/1097-4679(198101)37:1<128::AID-JCLP2270370124>3.0.CO;2-1.View ArticlePubMedGoogle Scholar
- Garvey MJ, Hollon SD, Derubeis RJ: Do depressed patients with higher pretreatment stress levels respond better to cognitive therapy than imipramine?. J Affect Disord. 1994, 32: 45-50. 10.1016/0165-0327(94)90060-4.View ArticlePubMedGoogle Scholar
- Kovacs M, Rush AJ, Beck AT, Hollon SD: Depressed outpatients treated with cognitive therapy or pharmacotherapy. A one-year follow-up. Arch Gen Psychiatry. 1981, 38: 33-39. 10.1001/archpsyc.1981.01780260035003.View ArticlePubMedGoogle Scholar
- Simons AD, Garfield SL, Murphy GE: The process of change in cognitive therapy and pharmacotherapy for depression. Changes in mood and cognition. Arch Gen Psychiatry. 1984, 41: 45-51. 10.1001/archpsyc.1984.01790120049007.View ArticlePubMedGoogle Scholar
- Sotsky SM, Glass DR, Shea MT, Pilkonis PA, Collins JF, Elkin I, et al: Patient predictors of response to psychotherapy and pharmacotherapy: findings in the NIMH treatment of depression collaborative research program. Am J Psychiatry. 1991, 148: 997-1008.View ArticlePubMedGoogle Scholar
- Weissman MM, Prusoff BA, DiMascio A, Neu C, Goklaney M, Klerman GL: The efficacy of drugs and psychotherapy in the treatment of acute depressive episodes. Am J Psychiatry. 1979, 136: 555-558.PubMedGoogle Scholar
- Beck AT, Hollon SD, Young JE, Bedrosian RC, Budenz D: Treatment of depression with cognitive therapy and amitriptyline. Arch Gen Psychiatry. 1985, 42: 142-148. 10.1001/archpsyc.1985.01790250036005.View ArticlePubMedGoogle Scholar
- Blackburn IM, Bishop S, Glen AI, Whalley LJ, Christie JE: The efficacy of cognitive therapy in depression: a treatment trial using cognitive therapy and pharmacotherapy, each alone and in combination. Br J Psychiatry. 1981, 139: 181-189. 10.1192/bjp.139.3.181.View ArticlePubMedGoogle Scholar
- Blom MB, Jonker K, Dusseldorp E, Spinhoven P, Hoencamp E, Haffmans J, et al: Combination treatment for acute depression is superior only when psychotherapy is added to medication. Psychother Psychosom. 2007, 76: 289-297. 10.1159/000104705.View ArticlePubMedGoogle Scholar
- Derubeis RJ, Hollon SD, Amsterdam JD, Shelton RC, Young PR, Salomon RM, et al: Cognitive therapy vs medications in the treatment of moderate to severe depression. Arch Gen Psychiatry. 2005, 62: 409-416. 10.1001/archpsyc.62.4.409.View ArticlePubMedGoogle Scholar
- DiMascio A, Weissman MM, Prusoff BA, Neu C, Zwilling M, Klerman GL: Differential symptom reduction by drugs and psychotherapy in acute depression. Arch Gen Psychiatry. 1979, 36: 1450-1456. 10.1001/archpsyc.1979.01780130068008.View ArticlePubMedGoogle Scholar
- Dimidjian S, Hollon SD, Dobson KS, Schmaling KB, Kohlenberg RJ, Addis ME, et al: Randomized trial of behavioral activation, cognitive therapy, and antidepressant medication in the acute treatment of adults with major depression. J Consult Clin Psychol. 2006, 74: 658-670.View ArticlePubMedGoogle Scholar
- Elkin I, Shea MT, Watkins JT, Imber SD, Sotsky SM, Collins JF, et al: National institute of mental health treatment of depression collaborative research program. General effectiveness of treatments. Arch Gen Psychiatry. 1989, 46: 971-982. 10.1001/archpsyc.1989.01810110013002.View ArticlePubMedGoogle Scholar
- Hollon SD, Derubeis RJ, Evans MD, Wiemer MJ, Garvey MJ, Grove WM, et al: Cognitive therapy and pharmacotherapy for depression. Singly and in combination. Arch Gen Psychiatry. 1992, 49: 774-781. 10.1001/archpsyc.1992.01820100018004.View ArticlePubMedGoogle Scholar
- Luty SE, Carter JD, McKenzie JM, Rae AM, Frampton CM, Mulder RT, et al: Randomised controlled trial of interpersonal psychotherapy and cognitive-behavioural therapy for depression. Br J Psychiatry. 2007, 190: 496-502. 10.1192/bjp.bp.106.024729.View ArticlePubMedGoogle Scholar
- McBride C, Atkinson L, Quilty LC, Bagby RM: Attachment as moderator of treatment outcome in major depression: a randomized control trial of interpersonal psychotherapy versus cognitive behavior therapy. J Consult Clin Psychol. 2006, 74: 1041-1054.View ArticlePubMedGoogle Scholar
- Murphy GE, Simons AD, Wetzel RD, Lustman PJ: Cognitive therapy and pharmacotherapy. Singly and together in the treatment of depression. Arch Gen Psychiatry. 1984, 41: 33-41. 10.1001/archpsyc.1984.01790120037006.View ArticlePubMedGoogle Scholar
- Murphy GE, Carny RM, Knesevich MA, Wetzel RD, Whitworth P: Cognitive behavior therapy, relaxation training and tricyclic antidepressant medication in the treatment of depression. Psychol Rep. 1995, 77 (2): 403-420. 10.2466/pr0.1918.104.22.1683.View ArticlePubMedGoogle Scholar
- Rush AJ, Beck AT, Kovacs M, Hollon SD: Cognitive therapy and research. Comparative efficacy of cognitive therapy and pharmocotherapy in the treatment of depressed outpatients. 1977, 17-37.Google Scholar
- Strauman TJ, Vieth AZ, Merrill KA, Kolden GG, Woods TE, Klein MH, et al: Self-system therapy as an intervention for self-regulatory dysfunction in depression: a randomized comparison with cognitive therapy. J Consult Clin Psychol. 2006, 74: 367-376.View ArticlePubMedGoogle Scholar
- Teri L, Lewinsohn PM: Individual and group treatment of unipolar depression: comparison of treatment outcome and identification of predictors of succesful treatment outcome. Behav Ther. 1986, 7: 215-228.View ArticleGoogle Scholar
- Watson JC, Gordon LB, Stermac L, Kalogerakos F, Steckley P: Comparing the effectiveness of process-experiential with cognitive-behavioral psychotherapy in the treatment of depression. J Consult Clin Psychol. 2003, 71: 773-781.View ArticlePubMedGoogle Scholar
- Wilson PH: Combined pharmacological and behavioural treatment of depression. Behav Res Ther. 1982, 20: 173-184. 10.1016/0005-7967(82)90116-4.View ArticlePubMedGoogle Scholar
- Wilson PH, Goldin JC, Charbonneaupowis M: Cognitive therapy and research. Comparative efficacy of behavioral and cognitive treatments of depression. 1983, 111-124. 7Google Scholar
- Wright JH, Wright AS, Albano AM, Basco MR, Goldsmith LJ, Raffield T, et al: Computer-assisted cognitive therapy for depression: maintaining efficacy while reducing therapist time. Am J Psychiatry. 2005, 162: 1158-1164. 10.1176/appi.ajp.162.6.1158.View ArticlePubMedGoogle Scholar
- Zettle RD, Haflich JL, Reynolds RA: Responsivity to cognitive therapy as a function of treatment format and client personality dimensions. J Clin Psychol. 1992, 48: 787-797. 10.1002/1097-4679(199211)48:6<787::AID-JCLP2270480613>3.0.CO;2-D.View ArticlePubMedGoogle Scholar
- Hamilton M: Development of a rating scale for primary depressive illness. Br J Soc Clin Psychol. 1967, 6: 278-296. 10.1111/j.2044-8260.1967.tb00530.x.View ArticlePubMedGoogle Scholar
- Zimmerman M, Posternak MA, Chelminski I: Derivation of a definition of remission on the Montgomery-Asberg depression rating scale corresponding to the definition of remission on the Hamilton rating scale for depression. J Psychiatr Res. 2004, 38: 577-582. 10.1016/j.jpsychires.2004.03.007.View ArticlePubMedGoogle Scholar
- Carmody TJ, Rush AJ, Bernstein I, Warden D, Brannan S, Burnham D, et al: The Montgomery Asberg and the Hamilton ratings of depression: a comparison of measures. Eur Neuropsychopharmacol. 2006, 16: 601-611. 10.1016/j.euroneuro.2006.04.008.View ArticlePubMedPubMed CentralGoogle Scholar
- Thase ME, Friedman ES, Biggs MM, Wisniewski SR, Trivedi MH, Luther JF, et al: Cognitive therapy versus medication in augmentation and switch strategies as second-step treatments: a STAR*D report. Am J Psychiatry. 2007, 164: 739-752. 10.1176/appi.ajp.164.5.739.View ArticlePubMedGoogle Scholar
- van der Lem R, van der Wee NJ, Van VT, Zitman FG: Efficacy versus effectiveness: a direct comparison of the outcome of treatment for mild to moderate depression in randomized controlled trials and daily practice. Psychother Psychosom. 2012, 81: 226-234. 10.1159/000330890.View ArticlePubMedGoogle Scholar
- Beck AT, Ward CH, Mendelson M, Mock J, Erbaugh J: An inventory for measuring depression. Arch Gen Psychiatry. 1961, 4: 561-571. 10.1001/archpsyc.1961.01710120031004.View ArticlePubMedGoogle Scholar
- Leonard KL: Is patient satisfaction sensitive to changes in the quality of care? An exploitation of the Hawthorne effect. J Health Econ. 2008, 27: 444-459. 10.1016/j.jhealeco.2007.07.004.View ArticlePubMedGoogle Scholar
- Trivedi MH, Rush AJ, Wisniewski SR, Nierenberg AA, Warden D, Ritz L, et al: Evaluation of outcomes with citalopram for depression using measurement-based care in STAR*D: implications for clinical practice. Am J Psychiatry. 2006, 163: 28-40. 10.1176/appi.ajp.163.1.28.View ArticlePubMedGoogle Scholar
- Jacobson NS, Truax P: Clinical significance: a statistical approach to defining meaningful change in psychotherapy research. J Consult Clin Psychol. 1991, 59: 12-19.View ArticlePubMedGoogle Scholar
- The pre-publication history for this paper can be accessed here:http://www.biomedcentral.com/1471-244X/12/192/prepub
This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.