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- Nonpharmacological Versus Pharmacological Treatments for Adult Patients With Major Depressive Disorder
Related Products for this Topic
- Research Review - Draft Jan. 14, 2015
Research Protocol – Jun. 19, 2014
Nonpharmacological Versus Pharmacological Treatments for Adult Patients With Major Depressive Disorder
This protocol was amended on July 1, 2014, July 23, 2014, and October 28, 2014. To view the amendments, please go to “Summary of Protocol Amendments.”
Table of Contents
- Background and Objectives for the Systematic Review
- Key Questions
- Analytic Framework
- Definition of Terms
- Summary of Protocol Amendments
- Review of Key Questions
- Key Informants
- Technical Experts
- Peer Reviewers
- EPC Team Disclosures
- Role of the Funder
Background and Objectives for the Systematic Review
Clinical and Methodological Issues
Depressive disorders can be serious, disabling illnesses. Major depressive disorder (MDD),1 defined as the presence of depressed mood or loss of interest or pleasure, along with at least four additional MDD diagnosis criteria or symptoms for a duration of at least 2 weeks, is the most prevalent and disabling, affecting more than 16 percent of U.S. adults (lifetime).2 The burden of depressive illnesses, in both human and financial terms, is enormous. MDD, in particular, exerts a negative impact on physical health. It reduces participation in preventive activities3 as well as adherence to medical treatment,4 and it increases the likelihood of chronic conditions such as obesity, smoking, sedentary lifestyles, diabetes, and cancer.5,6 MDD may be associated with a general increase in chronic disease. Mortality rates attributable to MDD and other depressive illnesses are high; approximately 4 percent of adults with a mood disorder commit suicide, and about two-thirds of suicides are preceded by depression.7
In 2000, the U.S. economic burden associated with depressive disorders was estimated to be $83.1 billion, a number that has likely increased during the past 10 years. More than 30 percent of these costs are attributable to direct medical expenses.7
In any given year, nearly 7 percent of the U.S. adult population (approximately 17.5 million people in 2014) experiences an episode of MDD that warrants treatment.2 Approximately half of these patients seek help. Most patients receiving care obtain treatment in primary care settings,8 where second-generation antidepressants (SGAs) are the most commonly prescribed.9 Patients who initially present to a psychiatric clinic are, in general, similar to those who seek treatment in primary care settings.10,11 For patients who do receive care, only 20 percent receive a minimal degree of adequate treatment, based on available evidence-based guidelines as receiving either pharmacotherapy (at least 2 months of an appropriate medication for MDD plus more than four visits to any type of physician) or psychotherapy (at least eight visits with any health care professional lasting an average of at least 30 minutes).12 Relative to these guidelines,13,14 the risk of undertreatment for patients with MDD can be substantial.
For those receiving treatment, overtreatment with antidepressant medications poses another potential risk. Several recent studies have highlighted differences in response to pharmacotherapy based on baseline depression severity, suggesting a risk of excessive use of these treatment interventions for patients with mild disease (defined by the DSM-V as disease in which “[f]ew, if any, of the symptoms in excess of those required to make the diagnosis are present, the intensity of symptoms is distressing but manageable, and the symptoms result in minor impairment in social or occupational functioning.”1 Eligibility criteria for most clinical trials require severely or very severely depressed patients (with the number of symptoms substantially in excess of what is required for diagnosis, intervention is seriously distressing, and symptoms markedly interfere with social and occupational functioning),1 raising questions about the generalizability of their results to populations with milder degrees of MDD (as might be more commonly found in some primary care settings).15-17 Several meta-analyses have reported that as baseline depressive symptoms increase, response to pharmacotherapy improves. One meta-analysis of patient-level data from six randomized controlled trials (RCTs) of antidepressants reported that response to two types of antidepressants (imipramine or paroxetine) begins to outpace placebo response only when baseline Hamilton Depression scores exceed 25.15 In other words, patients with mild MDD who are identified and treated may be at risk of antidepressant overtreatment. Therefore, considering the role of depression severity in MDD on treatment outcomes can be crucial in guiding treatment selection.
In addition to depression severity, the number of antidepressant failures can also influence the likelihood of clinical benefit.
Outcomes following an initial, evidence-based treatment with antidepressants in primary care settings are equivalent to those in tertiary care psychiatric clinics. In each of these types of settings, approximately 30 percent of patients will experience symptom remission; about 70 percent will have an inadequate treatment response.18,19 Providing this latter group (i.e., the remaining 70 percent) with a second treatment attempt produces similar rates of improvement;20 such interventions can include switching antidepressants or augmenting with a second medication. These data suggest that outcomes achieved in psychiatric clinics for both an initial treatment attempt and a second attempt are applicable to primary care settings. However, remission decreases to 15 percent for patients who have not yet recovered following two adequate antidepressant trials. This pattern suggests that patients experiencing treatment failure following two adequate trials of antidepressants would benefit from referral to a psychiatric clinic where clinicians can try more complicated treatment regimens.21 Accordingly, this Systematic Review (SR) will focus on the initial two treatment attempts for depressive illness.
Impetus for Review
Primary care physicians provide the largest number of antidepressant prescriptions and account for most of the near doubling in the use of antidepressants over the past decade.22 Accordingly, much of this treatment may be for patients with mild MDD, suggesting a risk of overtreatment for this group. At the same time, primary care physicians appreciate that other potentially effective interventions are available. A systematic review that outlines the benefits and harms of treatment options for major depressive disorder can inform clinical decision making by providers and patients. This review will focus on two key issues facing primary care physicians:
- As an initial treatment choice, how effective are SGAs compared with nonpharmacologic interventions?
- For patients whose depression did not achieve remission following initial treatment with an SGA, what is the comparative effectiveness of alternative pharmacologic and nonpharmacologic options? These options include adding a pharmacologic or nonpharmacologic treatment to the initial medication choice (which we refer to as augmentation) or switching to a different SGA or to a nonpharmacologic treatment.
Interventions for MDD
Pharmacotherapy remains the primary intervention for MDD patients in primary care. Nonetheless, primary care patients and clinicians may prefer other options (or at least want to be able to consider them). These include psychotherapeutic interventions, complementary and alternative medicine (CAM) options, or exercise. As noted above, clinicians want comparative effectiveness data to help guide treatment selection across these various choices.23 We review below the treatment options relevant to this comparative effectiveness review. Given the likelihood of greater benefit of pharmacotherapy for more severely depressed patients, an important clinical issue is the role of psychotherapy, CAM interventions, or exercise as potential monotherapy for patients with mild MDD; a related issue concerns their roles as potential adjuncts to antidepressants for patients with more severe MDD.
Pharmacotherapy for MDD
Pharmacotherapy (e.g., SGAs) dominates the medical management of depressive disorders. This SR will focus on SGAs, which we define as including selective serotonin reuptake inhibitors, serotonin and norepinephrine reuptake inhibitors, bupropion, mirtazapine, nefazodone, and trazodone. Focusing solely on SGAs more accurately represents the pharmaceutical therapies that primary care clinicians prescribe most often.9,24 Furthermore, because SGAs are most frequently used as first-line therapy, we will focus only on comparisons that include SGAs in at least one arm of any given comparative study.
Available evidence for MDD does not warrant choosing one SGA over another based on either greater efficacy or greater effectiveness.24 Only about 60 percent of patients treated with SGAs respond to treatment (meaning specifically that their depressive severity decreases by at least half); approximately 30 percent achieve remission during the first-line treatment.25
More than 60 percent of patients experience at least one adverse effect during treatment. Although most adverse effects are minor, such as constipation, diarrhea, and dizziness, they frequently lead to discontinuation of treatment.26
As documented above, 70 percent of MDD patients do not achieve remission following initial pharmacological treatment, and available data indicate that no one antidepressant performs better than any other. Accordingly, various other interventions—such as medication combinations, psychotherapy, or CAM treatments—are important options for patients and clinicians. In addition, lifestyle changes, for example, increased exercise, have been recommended as adjunctive treatments for MDD.27,28 Finally, strategies to augment antidepressant medications for those failing an initial treatment attempt may provide better treatment response than single medications alone.29
Psychotherapy for MDD
The American Psychological Association recently concluded that the general effects of the major psychotherapies that have been studied are significant and large.30,31 Some effects of psychotherapy tend to last longer and to be less subject to relapse requiring additional treatment than outcomes following pharmacological interventions;32 however, the effect of depressive severity on these results is not clear. The psychological interventions used to treat depressed patients include acceptance and commitment therapy, cognitive therapy, cognitive behavioral therapy, interpersonal therapy, psychodynamic therapies, and other talk therapies.
In general, these interventions potentially help people identify how past and present factors may contribute to their depression and teach them how to deal effectively with them. Certain psychological interventions can help individuals identify negative or distorted thought patterns that contribute to feelings of hopelessness and helplessness that accompany depression. These interventions can also help people acquire skills to relieve suffering and prevent later bouts of depression; among them are developing or strengthening social networks, creating new ways to cope with challenges, and following self-care plans that include positive lifestyle changes. To date, however, little is known about the comparative efficacy and effectiveness or harms of psychological interventions to treat depression.
CAM for MDD
CAM interventions are a growing area of both treatment and research. They are most often used in conjunction with conventional treatments (complementary medicine) rather than as alternatives to conventional therapies (alternative medicine). Numerous clinical trials and reviews of CAM therapies for depression exist, including a number of Cochrane reviews.33-36 In addition to SRs, the American Psychiatric Association Task Force and the Canadian Network for Mood and Anxiety Treatments have issued practice guidelines that incorporate the adjunctive use of several CAM interventions.37,38 Although the evidence base from high-quality RCTs is limited, sufficient evidence exists to support St. John’s wort for mild to moderate MDD.39,40 The evidence base is not as robust for the use of yoga, acupuncture, meditation, S-adenosyl-L-methionine, and omega-3 fatty acids.35,41-45
Adverse events are uncommon for most CAM treatments, but concern exists for potential drug interactions between some dietary supplements and other medications. Importantly, more than half of patients with depression are estimated to use some form of CAM therapy, and the majority of patients do not spontaneously disclose CAM use to their care providers.46
The comparative effectiveness (either benefits or harms) of CAM and other therapies is not known. As noted for other interventions, the role of depressive severity on these outcomes remains unclear as well.
Exercise for MDD
The use of exercise as either a primary treatment or an augmentation strategy for depression has a growing literature and evidence base. The most comprehensive Cochrane review47 identified 32 trials involving 1,858 participants with diagnosed MDD; the authors found a moderate clinical benefit of exercise versus no treatment or control. Although small in number, some studies compare exercise with cognitive therapy, medications, and alternative therapies; most find no clear difference between benefits.
This literature continues to evolve. SRs suggest small but clinically meaningful benefits (in the elderly a reduction of approximately 20 percent in depressive severity).48 In addition, recently published clinical trial data indicate comparable benefit for exercise and depression in patients with cardiovascular disease, with additional improvements in cardiovascular biomarkers, suggesting benefit for both clinical outcomes and quality of life.49
Nevertheless, the comparative effectiveness of exercise as either a primary treatment for MDD or an augmentation therapy is unknown. This evidence base continues to evolve with several clinical trials under way addressing MDD and exercise (http://ccdan.cochrane.org/specialised-register; http://clinicaltrials.gov/), suggesting a need for a review of this area.
Exercise covers a broad range of activities performed over varying durations of time, done singly, in classes, or in informal groups. This SR will focus on the benefits and harms of formal exercise activities that enroll people with an explicit diagnosis of MDD because these interventions are the ones most likely to be studied in trials.
Following the posting of the Key Questions (KQs) for public comment (February 3 to 24, 2014), we modified the questions in several ways. We removed all references to subsyndromal depression from all four KQs, because this disease category should be addressed in a separate review. Second, we simplified KQ 1a to focus on comparisons of SGAs and nonpharmacologic therapies; the PICOTS (given below, plus Table 1 for comparators) will clarify the options (single or combinations of interventions). Third, we modified the wording in KQs 2a and 3a to remove any negative connotations to the patient being treated (e.g., from patients who had failed an initial attempt to patients who did not achieve remission following an initial adequate trial with an SGA). Public reviewers stated that distinguishing between the levels of depression severity in our analysis was important. In response to that advice, we modified KQs 1b, 2b, and 3b to include moderate MDD, and we removed the severity subgroup from KQ 4.
In adult patients with MDD who are undergoing an initial treatment attempt, what is the effectiveness of second-generation antidepressants (SGAs) monotherapy compared with the effectiveness of either nonpharmacological monotherapy or combination therapy (involving nonpharmacological treatments with or without an SGA)?
Does treatment effectiveness vary by MDD severity?
In adult patients with MDD who did not achieve remission following an initial adequate trial with an SGA, what is the effectiveness of switching to a different SGA compared with the effectiveness of nonpharmacological monotherapy or combination therapy (involving nonpharmacologic treatments with or without SGA or augmenting an SGA with another medication)?
Does treatment effectiveness vary by MDD severity?
In adult patients with MDD, what are the comparative risks of harms between SGAs and nonpharmacological therapies:
- for those undergoing an initial treatment attempt?
- for those who did not achieve remission following an initial adequate trial with an SGA?
Do the risks of treatment harms vary by MDD severity?
Do the benefits and risks of harms of these treatment options differ by subgroups of patients with MDD defined by common accompanying psychiatric symptoms (coexisting anxiety, insomnia, low energy or somatization) or demographic characteristics (age, sex, or race or ethnicity)?
For this evidence review, we will include adult (18 years or older) outpatients of all races and ethnicities with MDD during either an initial treatment attempt (KQ 1) or a second treatment attempt in patients who did not achieve remission following an initial adequate trial with an SGA (KQ 2).
Subgroups of interest are based on:
- Common accompanying psychiatric symptoms (anxiety, insomnia, low energy, somatization)
- Race or ethnicity
We will not include patients with perinatal depression, seasonal affective disorder, psychotic depression, or treatment-resistant depression (i.e., more than one treatment failure).
We are interested in two major categories of interventions: (1) nonpharmacological interventions as monotherapies, in combination with one another, or in combination with SGAs (as noted for KQ 1 below) and (2) pharmacological interventions (SGAs in combination with each other or with other pharmaceutical agents, as noted for KQ 2 below).
For KQ 1 (initial treatment attempt)
- Common depression-focused psychotherapies
- Acceptance and commitment therapy
- Cognitive and behavioral approaches
- Interpersonal therapy
- Psychodynamic and attachment-based approaches
- Meditation (e.g., mindfulness-based stress reduction)
- Omega-3 fatty acids
- S-adenosyl-L-methionine (SAMe)
- St. John’s wort (Hypericum)
- Combinations of eligible interventions with one another
- Combinations of eligible interventions with SGAs
For KQ 2 (in addition to the treatments listed for KQ 1)
- Combinations of SGAs with SGAs
- Combinations of SGAs with other pharmacotherapies
- Atypical antipsychotics (aripiprazole, asenapine maleate, clozapine, iloperidone, lurasidone, olanzapine, paliperidone, quetiapine, risperidone, ziprasidone)
- Psychostimulants (amphetamine-dextroamphetamine, armodafinil, dexmethylphenidate, dextroamphetamine, lisdexamfetamine, methyphenidate, modafinil)
- Levothyroxine (T4)
- Triiodo-thyronine (T3)
We are interested in direct comparisons of eligible interventions with SGAs as single interventions. We will exclude studies that do not include SGA monotherapies in at least one arm of the study. Table 1 lists possible head-to-head comparisons of eligible interventions with SGAs.
|CAM = complementary and alternative medicine; SGA = second-generation antidepressant.|
|For all populations of interest (i.e., KQ 1, KQ 2, KQ 3, and KQ 4)||
|In addition for populations who did not achieve remission following an initial adequate trial with an SGA (i.e., KQ 2, KQ 3, and KQ 4):||
- Efficacy: response, remission, speed of response, speed of remission, relapse, quality of life, functional capacity, reduction of suicidality, hospitalization
- Adverse events (safety and tolerability): overall adverse events, withdrawals because of adverse events, serious adverse events, specific adverse events (including hyponatremia, seizures, suicidality, hepatotoxicity, weight gain, gastrointestinal symptoms, sexual side effects), withdrawals because of specific adverse events, or drug interactions (pharmacologic and alternative treatments)
We will have no limitations on study duration or length of followup.
Primary, secondary, and tertiary care outpatient settings.
KQ = Key Question; SGA = second-generation antidepressant
Criteria for Inclusion/Exclusion of Studies in the Review
We specified our inclusion and exclusion criteria based on the population, intervention, comparators, outcomes, timing, and settings (PICOTS) identified through the topic refinement exercise (Table 2). Our exclusion of most non–English-language studies is based on limitations of time and resources, but we will attempt to include all articles published in English, German, and Italian because these are languages the Evidence-based Practice Center (EPC) staff can work with easily. We will exclude study designs without control groups to ensure that our pool of included studies can inform the causal link between the intervention and outcomes.
|Category||Inclusion Criteria||Exclusion Criteria|
|MDD = major depressive disorder; PICOTS = populations, interventions, comparators, outcomes, timing, and setting; RCT = randomized controlled trial; SGA=second-generation antidepressant; SR = Systematic Review.|
|Population||Adult (18 years or older) outpatients of all races and ethnicities with MDD during either an initial treatment attempt or a second treatment attempt in patients who did not remit following an initial adequate trial with an SGA||
|Geography||No limit||No limit|
|Date of search||Searches will go back until 1990; searches will be updated after the draft report goes out for peer review|
|Settings||Primary, secondary, and tertiary care outpatient settings||Inpatient settings|
|Interventions||As defined in the PICOTS criteria||
|Control interventions||As defined in the PICOTS criteria|
|Outcomes||As defined in the PICOTS criteria||Studies that do not include at least one of the outcomes listed under the inclusion criteria|
|Timing of intervention||No limitations|
|Publication language||English, German, Italian||All other languages|
|Publication type||Any publication reporting primary data||Publications not reporting primary data|
Searching for the Evidence: Literature Search Strategies for Identification of Relevant Studies to Answer the Key Questions
We will systematically search, review, and analyze the scientific evidence for each KQ. We will take the following steps to perform the literature search. To identify articles relevant to each KQ, we will begin with a focused MEDLINE® search for eligible interventions using a combination of medical subject headings (MeSH®) and title and abstract keywords, limiting the search to English-, German-, and Italian-language and human-only studies. We will also search the Cochrane Library, the International Pharmaceutical Abstracts database, EMBASE, AMED (Allied and Complementary Medicine Database), PsycINFO, and CINAHL (Cumulative Index to Nursing and Allied Health Literature) using analogous search terms. These searches will include RCTs for benefits (effectiveness) and be expanded to nonrandomized studies to assess harms. We selected these databases based on preliminary searches and consultation with content experts. The search period will go back to January 1990. We will conduct quality checks to ensure that the searches identify known studies. If we do not identify the known studies, we will revise and rerun our searches.
In addition, we will search the “gray literature” for unpublished studies relevant to this review following guidance from the Methods Guide for Effectiveness and Comparative Effectiveness Reviews for these steps (http://www.effectivehealthcare.ahrq.gov/ehc/products/60/318/CER-Methods-Guide-140109.pdf).50 We will include studies that meet all the inclusion criteria and contain enough methodological information to enable us to assess risk of bias. Potential sources of gray literature include ClinicalTrials.gov, the World Health Organization’s International Clinical Trials Registry Platform, and others. The Scientific Resource Center of the Agency for Healthcare Research and Quality (AHRQ) will manage the process of submitting requests for scientific information packets, which contain information about drugs and CAM interventions.
In addition, in an attempt to avoid retrieval bias, we will manually search the reference lists of landmark studies and background articles on this topic to look for any relevant citations that our electronic searches might have missed.
We will conduct an updated literature search (of the same databases searched initially) concurrent with the peer review process. We will investigate any literature that the peer reviewers or the public suggest and, if appropriate, will incorporate additional studies into the final review. The appropriateness of those studies will be determined using the methods described above.
We will include pooled estimates of effect or other relevant results from SRs with meta-analyses that meet our inclusion/exclusion criteria for population, comparisons and outcomes. We will evaluate the quality of included SRs using the AMSTAR tool.51 Should identified SRs use inclusion/exclusion criteria that differ from ours or SRs without meta-analyses, we will review their reference lists to ensure that we include all relevant studies.
Data Abstraction and Data Management
Two trained research team members will independently review all titles and abstracts identified through searches for eligibility against our inclusion/exclusion criteria. Studies marked for possible inclusion by either reviewer will undergo a full-text review. For studies without adequate information to determine inclusion or exclusion, we will retrieve the full text and then make the determination. All results will be tracked in an EndNote® bibliographic database (Thomson Reuters, New York, NY).
We will retrieve and review the full text of all titles included during the title/abstract review phase. Two trained team members will independently review each full-text article for inclusion or exclusion based on the eligibility criteria described above. If both reviewers agree that a study does not meet the eligibility criteria, the study will be excluded. If the reviewers disagree, conflicts will be resolved by discussion and consensus or by consulting a third member of the review team. All results will be tracked in an EndNote database. We will record the reason that each excluded full-text publication did not satisfy the eligibility criteria so that we can later compile a comprehensive list of such studies.
For studies that meet our inclusion criteria, we will abstract important information into evidence tables. We will design data abstraction forms to gather pertinent information from each article. , including characteristics of study populations, settings, interventions, comparators, study designs, methods, and results. Trained reviewers will extract the relevant data from each included article into the evidence tables. A second member of the team will review all data abstractions for completeness and accuracy. We will abstract the following data from included articles: study design, eligibility criteria, intervention, additional medications allowed, methods of outcome assessment, population characteristics (such as age, sex, race or ethnicity, or mean disease duration), sample size, loss to followup, withdrawals because of adverse events, results, and adverse events reported. We will record intention-to-treat (ITT) results if available.
Assessment of Methodological Risk of Bias of Individual Studies
To assess the risk of bias (internal validity) of studies, we will use predefined criteria based on guidance provided by AHRQ.52 We will use the Cochrane risk of bias tool for RCTs,53 and the RTI tool for observational studies.54 In general terms, results of a study with low risk of bias are considered to be valid. Medium risk of bias implies some confidence that the results represent true treatment effect. The study is susceptible to some bias, but the problems are not sufficient to invalidate the results (i.e., no flaw is likely to cause major bias). A study with medium risk of bias is susceptible to some bias but probably not sufficient enough to invalidate its results. A study with high risk of bias has significant methodological flaws (e.g., stemming from serious errors in design or analysis) that may invalidate its results. We will consider the risk of bias for each relevant outcome of a study.
Two independent reviewers will assess the risk of bias for each study. Disagreements between the two reviewers will be resolved by discussion and consensus or by consulting a third member of the team. We will rate studies that meet all criteria as having “low risk of bias.” “Medium risk of bias” ratings will be given to studies that presumably fulfill all quality criteria but do not report their methods sufficiently to answer all of our questions. We will give a “high risk of bias” rating to studies that have a fatal flaw (defined as a methodological shortcoming that leads to a very high risk of bias) in one or more categories.
If we find three or more similar studies for a comparison of interest, we will consider quantitative analysis (i.e., meta-analysis) of the data from those studies. We will also consider conducting mixed treatment comparisons meta-analysis using Bayesian methods to compare the pharmacologic interventions with each other if we identify a sufficient number of studies with a common comparator (e.g., placebo). For all analyses, we will use random-effects models to estimate pooled or comparative effects.
To determine whether quantitative analyses are appropriate, we will assess the clinical and methodological heterogeneity of the studies under consideration following established guidance.55 We will do this by qualitatively assessing the PICOTS of the included studies, looking for similarities and differences. If we conduct quantitative syntheses (i.e., meta-analysis), we will assess statistical heterogeneity in effects between studies by calculating the chi2- statistic and the I2 statistic (the proportion of variation in study estimates attributable to heterogeneity). The importance of the observed value of I2 depends on the magnitude and direction of effects and on the strength of evidence for heterogeneity (e.g., p-value from the chi-squared test or a confidence interval for I2). If we include any meta-analyses with considerable statistical heterogeneity in this report, we will provide an explanation for doing so, considering the magnitude and direction of effects. We will also examine potential sources of heterogeneity using sensitivity analysis or analysis of subgroups. We plan to stratify analyses and/or perform subgroup analyses when possible and appropriate to examine clinical heterogeneity.
For any quantitative analyses, we will conduct sensitivity analyses including high risk-of-bias studies. Planned stratifications or categories for subgroup analyses include the subgroups listed in the analytic framework and geographic location of studies. When quantitative analyses are not appropriate (e.g., because of heterogeneity, insufficient numbers of similar studies, or insufficiency or variation in outcome reporting), we will synthesize the data qualitatively.
For SRs meeting all of the inclusion criteria, we will abstract study design and methods, number of studies and number of patients included in meta-analyses, characteristics of included studies, populations, and interventions, results, and adverse events, if reported. As appropriate, we may update the results of these reviews quantitatively or qualitatively and assess the Strength of Evidence as described below.
We will follow EPC guidance to assess publication bias.56
Grading the Strength of Evidence for Individual Comparisons and Outcomes
We will grade the strength of evidence based on the guidance established for the EPC Program.57 Developed to grade the overall strength of a body of evidence, this approach incorporates five key domains: risk of bias (includes study design and aggregate quality), consistency, directness, precision of the evidence, and reporting bias. It also considers other optional domains that may be relevant for some scenarios, such as a dose-response association, plausible confounding that would decrease the observed effect, and strength of association (magnitude of effect). We will ask for input from the Technical Expert Panel (TEP) to determine minimally important differences, which we will use to grade precision.
Grades reflect the strength of the body of evidence to answer KQs on the comparative effectiveness, efficacy, and harms of the interventions included in this review. Two trained reviewers will assess each domain for each key outcome, and differences will be resolved by consensus. One of the two reviewers will always be a senior researcher with experience in grading the strength of evidence. We will grade the strength of evidence for the outcomes deemed to be of greatest importance to decisionmakers and those commonly reported in the literature by carefully considering the ratings of each domain.
We will assess applicability of the evidence following guidance from the Methods Guide for Effectiveness and Comparative Effectiveness Reviews.58 We will use the PICOTS framework to explore factors that affect applicability. Some factors identified a priori that may limit the applicability of evidence include the following: age of enrolled populations, sex of enrolled populations (e.g., fewer men may be enrolled in some studies), and race or ethnicity of enrolled populations.
- American Psychiatric Association. Diagnostic and statistical manual of mental disorders. 5th ed., Arlington, VA: American Psychiatric Publishing; 2013.
- Kessler RC, Berglund P, Demler O, et al. The epidemiology of major depressive disorder: results from the National Comorbidity Survey Replication (NCS-R). JAMA. 2003 Jun 18;289(23):3095-105. Epub: 2003/06/19. PMID: 12813115.
- Fendrich M, Avci O, Johnson TP, et al. Depression, substance use and HIV risk in a probability sample of men who have sex with men. Addict Behav. 2013 Mar;38(3):1715-8. PMID: 23254224.
- DiMatteo MR, Lepper HS, Croghan TW. Depression is a risk factor for noncompliance with medical treatment: meta-analysis of the effects of anxiety and depression on patient adherence. Arch Intern Med. 2000 Jul 24;160(14):2101-7. Epub: 2000/07/25. PMID: 10904452.
- McLaughlin KA. The public health impact of major depression: a call for interdisciplinary prevention efforts. Prev Sci. 2011 Dec;12(4):361-71. Epub: 2011/07/07. PMID: 21732121.
- Farmer A, Korszun A, Owen MJ, et al. Medical disorders in people with recurrent depression. Br J Psychiatry. 2008 May;192(5):351-5. Epub: 2008/05/03. PMID: 18450658.
- Greenberg PE, Kessler RC, Birnbaum HG, et al. The economic burden of depression in the United States: how did it change between 1990 and 2000? J Clin Psychiatry. 2003 Dec;64(12):1465-75. Epub: 2004/01/20. PMID: 14728109.
- Institute of Medicine. Crossing the Quality Chasm: A New Health System for the 21st Century. Washington, DC: The National Academies Press; 2001.
- Mojtabai R, Olfson M. National patterns in antidepressant treatment by psychiatrists and general medical providers: results from the national comorbidity survey replication. J Clin Psychiatry. 2008 Jul;69(7):1064-74. Epub: 2008/04/11. PMID: 18399725.
- Gaynes BN, Rush AJ, Trivedi M, et al. A direct comparison of presenting characteristics of depressed outpatients from primary vs. specialty care settings: preliminary findings from the STAR*D clinical trial. Gen Hosp Psychiatry. 2005 Mar-Apr;27(2):87-96. Epub: 2005/03/15. PMID: 15763119.
- Gaynes BN, Rush AJ, Trivedi MH, et al. Major depression symptoms in primary care and psychiatric care settings: a cross-sectional analysis. Ann Fam Med. 2007 Mar-Apr;5(2):126-34. Epub: 2007/03/29. PMID: 17389536.
- Wang PS, Lane M, Olfson M, et al. Twelve-month use of mental health services in the United States: results from the National Comorbidity Survey Replication. Arch Gen Psychiatry. 2005 Jun;62(6):629-40. Epub: 2005/06/09. PMID: 15939840.
- American Psychiatric Association (APA). Practice Guideline for the Treatment of Patients with Major Depressive Disorder. 3rd ed., Arlington, VA: American Psychiatric Association (APA); 2010.
- Qaseem A, Snow V, Denberg TD, et al. Using second-generation antidepressants to treat depressive disorders: a clinical practice guideline from the American College of Physicians. Ann Intern Med. 2008 Nov 18;149(10):725-33. Epub: 2008/11/20. PMID: 19017591.
- Fournier JC, DeRubeis RJ, Hollon SD, et al. Antidepressant drug effects and depression severity: a patient-level meta-analysis. JAMA. 2010 Jan 6;303(1):47-53. Epub: 2010/01/07. PMID: 20051569.
- Khan A, Leventhal RM, Khan SR, et al. Severity of depression and response to antidepressants and placebo: an analysis of the Food and Drug Administration database. J Clin Psychopharmacol. 2002 Feb;22(1):40-5. Epub: 2002/01/19. PMID: 11799341.
- Kirsch I, Deacon BJ, Huedo-Medina TB, et al. Initial severity and antidepressant benefits: a meta-analysis of data submitted to the Food and Drug Administration. PLoS Med. 2008 Feb;5(2):e45. Epub: 2008/02/29. PMID: 18303940.
- Gaynes BN, Rush AJ, Trivedi MH, et al. Primary versus specialty care outcomes for depressed outpatients managed with measurement-based care: results from STAR*D. J Gen Intern Med. 2008 May;23(5):551-60. Epub: 2008/02/06. PMID: 18247097.
- Gaynes BN, Lux LJ, Lloyd SW, et al. Nonpharmacologic Interventions for Treatment-Resistant Depression in Adults. Comparative Effectiveness Reviews, No. 33. (Prepared by RTI International-University of North Carolina (RTI-UNC) Evidence-based Practice Center under Contract No. 290-02-0016I.) AHRQ Publication No. 11-EHC056-EF. Rockville, MD: Agency for Healthcare Research and Quality; Sep 2011. www.effectivehealthcare.ahrq.gov/reports/final.cfm.
- Rush AJ, Trivedi MH, Wisniewski SR, et al. Acute and longer-term outcomes in depressed outpatients requiring one or several treatment steps: a STAR*D report. Am J Psychiatry. 2006 Nov;163(11):1905-17. Epub: 2006/11/01. PMID: 17074942.
- Gaynes BN, Warden D, Trivedi MH, et al. What did STAR*D teach us? Results from a large-scale, practical, clinical trial for patients with depression. Psychiatr Serv. 2009 Nov;60(11):1439-45. Epub: 2009/11/03. PMID: 19880458.
- Mojtabai R, Olfson M. National trends in long-term use of antidepressant medications: results from the US National Health and Nutrition Examination Survey. J Clin Psychiatry. 2014 Feb;75(2):169-77. Epub: 2013/12/19. PMID: 24345349.
- Linde K, Schumann I, Meissner K, et al. Treatment of depressive disorders in primary care—protocol of a multiple treatment systematic review of randomized controlled trials. BMC Fam Pract. 2011;12:127. Epub: 2011/11/17. PMID: 22085705.
- Gartlehner G, Hansen RA, Morgan LC, et al. Comparative benefits and harms of second-generation antidepressants for treating major depressive disorder: an updated meta-analysis. Ann Intern Med. 2011 Dec 6;155(11):772-85. Epub: 2011/12/08. PMID: 22147715.
- Gartlehner G, Hansen RA, Morgan LC, et al. Second-Generation Antidepressants in the Pharmacologic Treatment of Adult Depression: An Update of the 2007 Comparative Effectiveness Review. (Prepared by the RTI International–University of North Carolina Evidence-based Practice Center, Contract No. 290-2007-10056-I.) AHRQ Publication No. 12-EHC012-EF. Rockville, MD: Agency for Healthcare Research and Quality; December 2011. www.effectivehealthcare.ahrq.gov/reports/final.cfm.
- Gartlehner G, Thieda P, Hansen RA, et al. Comparative risk for harms of second-generation antidepressants: a systematic review and meta-analysis. Drug Saf. 2008;31(10):851-65. Epub: 2008/09/02. PMID: 18759509.
- Cuijpers P, van Straten A, Smits N, et al. Screening and early psychological intervention for depression in schools : systematic review and meta-analysis. Eur Child Adolesc Psychiatry. 2006 Aug;15(5):300-7. Epub: 2006/03/31. PMID: 16572276.
- Gastpar M, Singer A, Zeller K. Comparative efficacy and safety of a once-daily dosage of hypericum extract STW3-VI and citalopram in patients with moderate depression: a double-blind, randomised, multicentre, placebo-controlled study. Pharmacopsychiatry. 2006 Mar;39(2):66-75. Epub: 2006/03/24. PMID: 16555167.
- Gaynes BN, Dusetzina SB, Ellis AR, et al. Treating depression after initial treatment failure: directly comparing switch and augmenting strategies in STAR*D. J Clin Psychopharmacol. 2012 Feb;32(1):114-9. Epub: 2011/12/27. PMID: 22198447.
- Cuijpers P, van Straten A, Andersson G, et al. Psychotherapy for depression in adults: a meta-analysis of comparative outcome studies. J Consult Clin Psychol. 2008 Dec;76(6):909-22. Epub: 2008/12/03. PMID: 19045960.
- Nieuwsma JA, Trivedi RB, McDuffie J, et al. Brief psychotherapy for depression: a systematic review and meta-analysis. Int J Psychiatry Med. 2012;43(2):129-51. Epub: 2012/08/02. PMID: 22849036.
- Spielmans GI, Berman MI, Usitalo AN. Psychotherapy versus second-generation antidepressants in the treatment of depression: a meta-analysis. J Nerv Ment Dis. 2011 Mar;199(3):142-9. Epub: 2011/02/25. PMID: 21346483.
- Maratos AS, Gold C, Wang X, et al. Music therapy for depression. Cochrane Database Syst Rev. 2008(1):CD004517. Epub: 2008/02/07. PMID: 18254052.
- Jorm AF, Morgan AJ, Hetrick SE. Relaxation for depression. Cochrane Database Syst Rev. 2008(4):CD007142. Epub: 2008/10/10. PMID: 18843744.
- Smith CA, Hay PP, Macpherson H. Acupuncture for depression. Cochrane Database Syst Rev. 2010(1):CD004046. Epub: 2010/01/22. PMID: 20091556.
- Cooney GM, Dwan K, Greig CA, et al. Exercise for depression. Cochrane Database Syst Rev. 2013;9:CD004366. Epub: 2013/09/13. PMID: 24026850.
- Freeman MP, Fava M, Lake J, et al. Complementary and alternative medicine in major depressive disorder: the American Psychiatric Association Task Force report. J Clin Psychiatry. 2010 Jun;71(6):669-81. Epub: 2010/06/25. PMID: 20573326.
- Ravindran AV, Lam RW, Filteau MJ, et al. Canadian Network for Mood and Anxiety Treatments (CANMAT) Clinical guidelines for the management of major depressive disorder in adults. V. Complementary and alternative medicine treatments. J Affect Disord. 2009 Oct;117 Suppl 1:S54-64. Epub: 2009/08/12. PMID: 19666194.
- Linde K, Berner MM, Kriston L. St John's wort for major depression. Cochrane Database Syst Rev. 2008(4):CD000448. Epub: 2008/10/10. PMID: 18843608.
- Golden RN, Gaynes BN, Ekstrom RD, et al. The efficacy of light therapy in the treatment of mood disorders: a review and meta-analysis of the evidence. Am J Psychiatry. 2005 Apr;162(4):656-62. Epub: 2005/04/01. PMID: 15800134.
- Jorm AF, Morgan AJ, Hetrick SE. Relaxation for depression. Cochrane Database Syst Rev. 2008(4):CD007142. Epub: 2008/10/10. PMID: 18843744.
- Balasubramaniam M, Telles S, Doraiswamy PM. Yoga on our minds: a systematic review of yoga for neuropsychiatric disorders. Front Psychiatry. 2012;3:117. Epub: 2013/01/29. PMID: 23355825.
- Bloch MH, Hannestad J. Omega-3 fatty acids for the treatment of depression: systematic review and meta-analysis. Mol Psychiatry. 2012 Dec;17(12):1272-82. Epub: 2011/09/21. PMID: 21931319.
- Papakostas GI. Evidence for S-adenosyl-L-methionine (SAM-e) for the treatment of major depressive disorder. J Clin Psychiatry. 2009;70 Suppl 5:18-22. Epub: 2010/01/14. PMID: 19909689.
- Freeman MP. Complementary and Alternative Medicine (CAM): considerations for the treatment of major depressive disorder. J Clin Psychiatry. 2009;70 Suppl 5:4-6. Epub: 2010/01/14. PMID: 19909686.
- Kessler RC, Soukup J, Davis RB, et al. The use of complementary and alternative therapies to treat anxiety and depression in the United States. Am J Psychiatry. 2001 Feb;158(2):289-94. Epub: 2001/02/07. PMID: 11156813.
- Rimer J, Dwan K, Lawlor DA, et al. Exercise for depression. Cochrane Database Syst Rev. 2012;7:CD004366. Epub: 2012/07/13. PMID: 22786489.
- Bridle C, Spanjers K, Patel S, et al. Effect of exercise on depression severity in older people: Systematic review and meta-analysis of randomised controlled trials. Br J Psychiatry. 2012;201(3):180-5. PMID: 22945926.
- Blumenthal JA, Sherwood A, Babyak MA, et al. Exercise and pharmacological treatment of depressive symptoms in patients with coronary heart disease: results from the UPBEAT (Understanding the Prognostic Benefits of Exercise and Antidepressant Therapy) study. J Am Coll Cardiol. 2012 Sep 18;60(12):1053-63. Epub: 2012/08/04. PMID: 22858387.
- Glassman AH, Bigger JT, Gaffney M, et al. Onset of major depression associated with acute coronary syndromes: relationship of onset, major depressive disorder history, and episode severity to sertraline benefit. Arch Gen Psychiatry. 2006 Mar;63(3):283-8. Epub: 2006/03/08. PMID: 16520433.
- Shea BJ, Hamel C, Wells GA, et al. AMSTAR is a reliable and valid measurement tool to assess the methodological quality of systematic reviews. J Clin Epidemiol. 2009 Oct;62(10):1013-20. Epub: 2009/02/24. PMID: 19230606.
- Viswanathan M, Ansari MT, Berkman ND, et al. Assessing the Risk of Bias of Individual Studies in Systematic Reviews of Health Care Interventions Methods Guide for Effectiveness and Comparative Effectiveness Reviews. Agency for Healthcare Research and Quality Methods Guide for Comparative Effectiveness Reviews AHRQ Publication No. 12-EHC047-EF. Rockville MD: Agency for Healthcare Research and Quality; March 2012. www.effectivehealthcare.ahrq.gov/.
- Higgins JPT, Green S, eds. Cochrane Handbook for Systematic Reviews of Interventions Version 5.1.0. The Cochrane Collaboration: Available from www.cochrane-handbook.org ; 2011.
- Viswanathan M, Berkman ND. Development of the RTI item bank on risk of bias and precision of observational studies. J Clin Epidemiol. 2012 Feb;65(2):163-78. Epub: 2011/10/01. PMID: 21959223.
- West SL, Gartlehner G, Mansfield AJ, et al. Comparative Effectiveness Review Methods: Clinical Heterogeneity. Methods Research Report. (Prepared by the RTI International–University of North Carolina Evidence-based Practice Center (EPC) under Contract No. 290-2007-10056-I.) AHRQ Publication No. 10-EHC070-EF. Rockville MD: Agency for Healthcare Research and Quality; September 2010. www.effectivehealthcare.ahrq.gov.
- Methods Guide for Effectiveness and Comparative Effectiveness Reviews. Agency for Healthcare Research and Quality AHRQ Publication No. 10(14)-EHC063-EF. Rockville, MD: January 2014. Chapters available at: www.effectivehealthcare.ahrq.gov.
- Berkman ND, Lohr KN, Ansari M, et al. Grading the Strength of a Body of Evidence When Assessing Health Care Interventions for the Effective Health Care Program of the Agency for Healthcare Research and Quality: An Update. Methods Guide for Effectiveness and Comparative Effectiveness Reviews (Prepared by the RTI-UNC Evidence-based Practice Center under Contract No. 290-2007-10056-I) AHRQ Publication No. 13(14)-EHC130-EF. Rockville MD: Agency for Healthcare Research and Quality; November 2013. www.effectivehealthcare.ahrq.gov/reports/final.cfm.
- Atkins D, Chang S, Gartlehner G, et al. Assessing the Applicability of Studies When Comparing Medical Interventions Methods Guide for Comparative Effectiveness Reviews AHRQ Publication No. 11-EHC019-EF. Rockville MD: Agency for Healthcare Research and Quality; January 2011.
Definition of Terms
Summary of Protocol Amendments
|Date||Section||Original Protocol||Revised Protocol||Rationale|
|October 28, 2014||II. The Key Questions||
|July 23, 2014||II. The Key Questions - Interventions||For KQ1 (initial treatment attempt): Common depression-focused psychotherapies
||For KQ1 (initial treatment attempt): Common depression-focused psychotherapies*
*Cochrane Depression and Anxiety and Neurosis Group typology of psychological therapies (https://ccdan.cochrane.org/sites/ ccdan.cochrane.org/files/ uploads/CCDAN%20topics%20list_ psychological%20therapies%20for %20website.pdf)
|After reviewing psychotherapy studies and the difficulties faced in classifying the interventions into our original protocol categories, we determined that it was best to apply the more comprehensive typology of psychological therapies developed by the Cochrane Depression, Anxiety and Neurosis Group (CCDAN)|
|October 28, 2014||II. The Key Questions - Comparators||Table 1:
First Section Header:
For all populations of interest (i.e., KQ1, KQ2, KQ3, and KQ)
Second Section Comparator Rows:
SGAs vs. SGA + SGA
SGAs vs. SGA + other pharmacotherapies
First Section Header:
For all populations of interest (i.e., KQ1, KQ3, and KQ4)
Second Section header In addition for populations who did not achieve remission following an initial adequate trial with an SGA (i.e., KQ2, KQ3, and KQ4):
bAugmenting with a second SGA, for an additional non-SGA medication, or a nonpharmacologic treatment
|When we revised KQ2a, we broadened the management strategies that could be compared.|
|July 1, 2014||IV. Methods||Table 2. Inclusion/exclusion criteria: Study Design Exclusions:||Add:
||These designs had been omitted in the original protocol and we have added them here for transparency|
|July 1, 2014||IV. Methods||Table 2. Inclusion/exclusion criteria: Population Exclusions:
treatment-resistant depression (i.e., more than one treatment failure)
|Revise i.e., to “two or more treatment failures”||Rewording the definition of treatment failure to make it clearer for readers of the report|
Review of Key Questions
For all EPC reviews, the EPC reviewed and refined KQs as needed with input from key informants and the TEP to ensure that the questions are specific and explicit about what information is being reviewed. In addition, the KQs were posted for public comment and put into final form by the EPC after review of the comments.
Key informants are the end users of research, including patients and caregivers, practicing clinicians, relevant professional and consumer organizations, purchasers of health care, and others with experience in making health care decisions. Within the EPC program, the key informant role is to provide input into identifying the KQs for research that will inform health care decisions. The EPC solicits input from key informants when developing questions for SRs or when identifying high-priority research gaps and needed new research. Key informants are not involved in analyzing the evidence or writing the report; they will not have reviewed the report, except as given the opportunity to do so through the peer or public review mechanism.
Key informants must disclose any financial conflicts of interest greater than $10,000 and any other relevant business or professional conflicts of interest. Because of their role as end users, individuals are invited to serve as key informants, and those who present with potential conflicts may be retained. The Task Order Officer and the EPC work to balance, manage, or mitigate any potential conflicts of interest identified.
Technical experts constitute a multidisciplinary group of clinical, content, and methodologic experts who provide input in defining populations, interventions, comparisons, or outcomes and identifying particular studies or databases to search. They are selected to provide broad expertise and perspectives specific to the topic under development. Divergent and conflicted opinions are common and perceived as healthy scientific discourse that results in a thoughtful, relevant SR. Therefore, study questions, design issues, and methodological approaches do not necessarily represent the views of individual technical and content experts. Technical experts provide information to the EPC to identify literature search strategies and recommend approaches to specific issues as requested by the EPC. Technical experts do not do analysis of any kind; neither do they contribute to the writing of the report. They will not have reviewed the report, except as given the opportunity to do so through the peer or public review mechanism.
Technical experts must disclose any financial conflicts of interest greater than $10,000 and any other relevant business or professional conflicts of interest. Because of their unique clinical or content expertise, individuals are invited to serve as technical experts; those who present with potential conflicts may be retained. The Task Order Officer and the EPC work to balance, manage, or mitigate any potential conflicts of interest identified.
Peer reviewers are invited to provide written comments on the draft report based on their clinical, content, or methodologic expertise. In preparing the final draft of the report, the EPC considers all peer review comments on the preliminary draft of the report. Peer reviewers do not participate in writing or editing the final report or other products. The synthesis of the scientific literature presented in the final report does not necessarily represent the views of individual reviewers. The dispositions of the peer review comments are documented and will, for CERs and Technical Briefs, be published 3 months after the publication of the Evidence report.
Potential peer reviewers must disclose any financial conflicts of interest greater than $10,000 and any other relevant business or professional conflicts of interest. Invited peer reviewers may not have any financial conflict of interest greater than $10,000. Peer reviewers who disclose potential business or professional conflicts of interest may submit comments on draft reports through the public comment mechanism.
EPC Team Disclosures
EPC core team members must disclose any financial conflicts of interest greater than $1,000 and any other relevant business or professional conflicts of interest. Related financial conflicts of interest that cumulatively total more than $1,000 will usually disqualify EPC core team investigators.
Role of the Funder
This project was funded under Contract No. HHSA290201200008i from the Agency for Healthcare Research and Quality, U.S. Department of Health and Human Services. The Task Order Officer reviewed contract deliverables for adherence to contract requirements and quality. The authors of this report are responsible for its content. Statements in the report should not be construed as endorsement by the Agency for Healthcare Research and Quality or the U.S. Department of Health and Human Services.Return to Top of Page