- Published: December 29, 2021
- Updated: December 29, 2021
- University / College: University of York
- Language: English
- Downloads: 6
Introduction
In his 2017 report to the United Nations (UN) on adolescent health, child psychiatrist and Special Rapporteur 1 Dainius Pūras called upon states to develop “ adolescent-friendly psychosocial interventions at the community level” ( 1 ) and emphasized the importance of avoiding “ the excessive use of psychotropic medications” (p. 19). Two years later he reiterated his concerns about the far-reaching harms of over-medicalization to children, noting that “ global trends to medicalize complex psychosocial and public health issues in childhood should be addressed with a stronger political will” (2019, p. 12). The Special Rapporteur’s observations and recommendations are critically important and timely given the recent finding that antidepressant medication (ADM) use in children and adolescents rose substantially in five Western countries from 2005 to 2012 ( 2 ).
Indeed, youth in the United States and internationally are increasingly being diagnosed with depression and related psychiatric conditions ( 3 ). Rates of major depressive episodes increased 52% from 2005 to 2017 among adolescents aged 12 to 17 and 63% from 2009 to 2017 among young adults aged 18–25 ( 4 ). The reasons for this increase are multifaceted and impossible to determine, but Twenge et al. ( 4 ) posit the rise of electronic communication, digital media, and declines in sleep duration as potential explanations. In terms of biomedical interventions for depression, there has been ongoing controversy over the effectiveness and safety of ADM use in children ( 5 ), including concerns about ADM increasing suicidality and self-harm ( 6 – 8 ). However, it should be noted that there is more evidence to support use of ADM for anxiety ( 9 , 10 ).
Certainly the increase in depression diagnoses has contributed to the increase in ADM prescribing in youth. In this commentary, we discuss two other drivers of the overuse of ADM: 1) the demand for mental health and depression screening in youth, despite the lack of evidence to support it, and 2) the renewed momentum of the Global Mental Health Movement and concomitant calls to “ scale up” the diagnosis and treatment of mental illness. In contrast to the over-medicalization of distress that characterizes much of adolescent mental health care, we argue for a more conservative and contextual approach. Using the lens of institutional corruption ( 11 ), we identify the ways in which guild and financial conflicts of interest create obstacles to rational prescribing practices in pediatric populations and offer suggestions for reform.
Depression Screening in Adolescents: Is There Evidence of Benefit?
“ All screening programmes do harm; some do good as well” [( 12 ), p. 480].
Screening has been enthusiastically embraced for almost half a century, beginning with the use of mammography to identify cases of breast cancer ( 13 ). Screening is premised on the idea that early identification of a pre-clinical disease in asymptomatic people leads to effective interventions that improve health outcomes. It is hoped that questionnaire-based depression screening will identify undetected cases of depression. Thus, some readers might ask, “ How could screening for depression be harmful?” However, screening for depression is only useful when it improves outcomes beyond those of standard care ( 14 – 16 ). For example, a 2017 systematic review of the clinical trial evidence for depression screening among children and adolescents ( 17 ) found no direct randomized control trials (RCTs) evidence to support it. The researchers noted there would be unintended harm from screening and recommended that there should be careful consideration “ of potential harms, as well as the use of scarce health resources, that would occur with the implementation of screening programs” [( 17 ), p. 813].
Additionally, an examination of recommendations from three national guideline organizations ( 17 ) revealed a lack of evidence to support questionnaire-based screening. The recommendations for screening for alcohol misuse, depression, developmental or speech and language delays, domestic violence, and suicide risk from the United States Preventive Services Taskforce (USPSTF), the Canadian Task Force on Preventative Health Care (CTFPHC), and the United Kingdom National Screening Committee (UKNSC) were reviewed. Only six RCTs that assessed the benefits of screening over standard care were cited across all of the recommendations made for or against questionnaire-based screening. A closer inspection of the six RCTs cited revealed that in five of the trials, no statistically significant primary or secondary health outcomes from screening were found. Confidence in the one trial that reported equivocal results was compromised by the misreporting of outcomes ( 18 ). The CTFPHC and UKNSC have made 11 recommendations against the use of questionnaire-based screening, including against routine screening for depression. In contrast, the USPSTF recommended questionnaire-based screening for depression and three other conditions and made no recommendations against screening.
The lack of evidence for screening may initially seem surprising, in part because the terms “ screening” and “ assessment” are often conflated. However, they are very different procedures. Screening for depression involves the use of brief questionnaires [typically the Patient Health Questionnaire or PHQ–9 2 ; ( 19 )] to identify an already existing problem. A clinical assessment, on the other hand, refers to a thoughtful, contextual, and individualized conversation between a patient and healthcare provider. 3 Thus, it should be emphasized that recognizing the lack of evidence to support questionnaire-based depression screening is not the same as advocating for a “ don’t ask don’t tell” policy and practice. Individualized clinical assessments may also contribute to more accurate estimates of national depression prevalence and help reduce overdiagnosis and overtreatment.
There are many reasons why applying a questionnaire-based screening model to presently experienced problems, such as depression, may not be effective and may result in more harm than benefit. First, depression is not analogous to infectious diseases such as HIV or hepatitis C. Research has shown that depression, particularly more mild forms, and, notably, in the case of children and adolescents, can resolve without intervention ( 20 – 22 ). Depression is not necessarily progressive, and certainly not progressive in the same way as an infectious disease. Additionally, its status as a disease codified in the Diagnostic and Statistical Manual of Mental Disorders ( DSM ) has been challenged ( 23 ). Transient and contextual reasons can be the basis for an adolescent scoring “ positive” on a depression screening instrument and substantial improvement in mood can result when these stressors abate ( 24 ). Second, there is the possibility of the nocebo effect, the negative or iatrogenic effect of placing labels on peoples’ distress, when they themselves have not categorized their experience nor sought a mental health diagnosis from a health care or school setting [see, e. g., ( 15 , 25 )]. Also, for screening to improve health outcomes there must be high quality evidence (preferably from randomized clinical trials) demonstrating its effectiveness and safety. In the case of antidepressant medication, there is substantial controversy regarding the risk-benefit ratio ( 26 – 30 ).
Despite the lack of evidence to support it, in 2016, the USPSTF reaffirmed their 2009 recommendation for screening adolescents age 12 and over ( 31 , 32 ). In the 2016 update, the identification of specific ADMs and specific therapeutic interventions as well as the following cautionary statement were removed: “ However, because of risk of suicidality SSRIs should be considered only if clinical monitoring is possible” [US Preventive Services Task Force, 2009 ( 33 ), p. 1224]. The stated rationale for removing the identification of specific agents and removing the concern about risk of suicidality with the use of SSRIs in adolescents, was the “ recognition of decreased concern over the harms of pharmacotherapy in adolescents …” (emphasis added, p. 7). Pharmacotherapy is listed as the first treatment option (p. 7) and the Task Force concluded that “ the evidence on the frequency of medication-related adverse events in adolescents is adequate to estimate that the magnitude of harms of pharmacotherapy is small if patients are closely monitored” (p. 6). This conclusion not only stands in contrast to the research which provides evidence of a questionable risk-benefit ratio for ADM use in youth ( 10 , 34 ), but it may also lead to an increase in the use of ADM in pediatric populations because of the statement regarding “ decreased concerns” about the safety of ADM.
As can be seen in this brief review, there is great enthusiasm for depression screening despite the lack of evidence of benefit over care as usual. To our knowledge, no methodologically rigorous studies have been conducted to indicate a reduction in depressive symptoms among students identified as at-risk through in-school screening procedures. The studies in primary care settings that do show modest benefit have been found to have significant design and reporting flaws ( 35 ). It is difficult to accept evidence that disrupts our firmly held beliefs and therefore it is understandable that both health care and school professionals continue to hope that screening will lead to better health outcomes for youth. However, when health care policy (e. g., USTSPF recommendation for screening youth) starts to look too much like an advertisement for cherished beliefs, we cannot claim to be engaging in evidence-based practice [see, e. g., ( 36 )]. Moreover, routine depression screening may have the unintended effect of overtreatment with antidepressants and could deflect limited healthcare resources away from those who need it most ( 2 , 18 , 31 , 37 – 39 ). Research demonstrates that a stepped approach is best: treating mild-moderate depression with an antidepressant has been found to be no better than watchful waiting ( 40 , 41 ).
Mind the Gap: Renewed Global Emphasis on Scaling Up the Diagnosis and Treatment of Depression
The Global Mental Health Movement (GMHM), an initiative aimed at scaling up the diagnosis and treatment of mental health disorders (particularly in low-middle income countries) may also result in the overuse of ADM in pediatric populations. In 2008, the World Health Organization (WHO) developed its Mental Health Gap Action Programme (mhGAP) 4 . The mhGAP identified depression as a priority disease category and was promoted as a resource for all countries, especially low- and middle-income. As part of this program, various guides were developed to increase the diagnosis and treatment of mental disorders. The mhGAP intervention guide was launched in an attempt to provide specific guidance for scaling up interventions—it functions as a type of “ how to” manual for the management of mental disorders ( 42 , 43 ). In October of 2018 the most recent Lancet Commission’s Report was published, prioritizing child and adolescent mental health and advocating for early screening and intervention. Similarly, the WHO’s “ Let’s Talk” 2017 campaign on depression identified adolescents and young adults as one of three populations disproportionately affected by depression.
These recent GMH initiatives focus on early detection. Calls to dramatically scale up depression care are made by appealing to economics and parity: The WHO estimates that there will be a loss of a trillion dollars, every year, between 2016 and 2030 because of the lost productivity and economic burden of mental illness ( 44 , 45 ). The argument is made that increasing access to treatment and funding child and youth mental health screening is a sound monetary investment, especially in low and middle income countries—it will mitigate future unemployment and reduce welfare expenditures and criminality. In fact, the WHO predicts that every dollar invested in mental health will yield a USD 4-dollar gain ( 45 ).
The parity argument—mental health is no different from physical health—is also used to bolster claims that childhood disorders will inevitably progress into adult mental disorders. For example, the 2018 Lancet report strongly recommends identifying sub-threshold or sub-syndromal detection of mental disorders in order to intervene “ before substantial disability sets in” [( 46 ), p. 1564]. Although it was briefly noted that there are no diagnostic tests or tools that can accurately detect who will go on to develop a disorder or respond to an intervention, early detection is presented as unequivocally beneficial. In this way, the report reinforces the belief that there is an equivalence between mental and physical disorders in terms of both etiology and disease progression. This assumed equivalence, emphasis on halting disease progression, and the fact that the mhGAP program is based on a model that endorses biomedical psychiatry ( 47 ), positions Western psychiatric treatment as the main solution to the global mental health care crisis. In turn, this can lead to overzealous ADM prescribing, particularly in children and adolescents as they are identified within the GMHM as a population at risk.
It is also noteworthy that the movement to globalize mental health was formed across political and economic organizations (i. e., WHO, World Bank, International Monetary Fund), resulting in an uneasy alliance among psychiatry, public health, and international development ( 48 , 49 ). There is increasing concern that the data reinvigorating the GMHM (e. g., disease burden estimates of depression) have been distorted by commercial interests and psychiatry’s capture of this movement ( 50 ). The conceptual and normative framework of institutional corruption can illuminate the ways in which guild and commercial interests can lead to the over-diagnosis and over-treatment of youth internationally (i. e., through GMHM initiatives and programs). That is, institutional corruption, unlike individual corruption, is not about unethical people behaving in morally bankrupt ways. Institutional corruption can be defined as a dependence that results in widespread or systematic practices that undermine the integrity of that institution or weaken public trust. Perhaps most important, the actors within the institution do not perceive themselves as being influenced by guild or financial interests or implicit bias. Unwittingly, organized psychiatry developed financial incentives (e. g., allowing leaders within the field to become the pharmaceutical industry’s “ key opinion leaders”), and behavioral norms (e. g., not requiring disclosure of financial conflicts of interest in previous editions of the DSM ) 5 , that created an improper dependence on industry. It is improper in the sense that the processes for generating knowledge about the etiology and treatment of mental illness became compromised. Practices that allowed for a deviation from organized psychiatry’s public health mission—and that also led to a distortion of scientific truths—became normalized ( 53 ).
Looking at organized psychiatry and the GMHM through this conceptual lens helps us see the economies of influence (e. g., individual and organizational ties to industry; guild interests) at play and their implications. Because (Western) psychiatry has dominated the GMHM, the implications are profound for public health. It is not surprising that proponents of the movement—who are mainly psychiatrists and psychologists—strongly advocate for scaling up diagnosis and pharmacological and psychotherapy interventions. Certainly, many youth in the U. S. and internationally are underserved and in need of treatment. However, the fact that the pharmaceutical industry and the mental health professions are obvious beneficiaries of scaling up efforts warrants more serious attention [see e. g., ( 50 )].
For example, both the 2011 and 2018 Lancet reports were developed mainly by psychiatrists who have a guild interest in advocating for pharmacological interventions. It has been consistently shown—across multiple areas in medicine—that clinical practice guidelines and treatment recommendations produced solely by medical specialty groups, especially those with industry ties, make recommendations that are consistent with their guild interests ( 54 ). As a result, their recommendations are less conservative than those produced by more multidisciplinary groups ( 55 ). Also, many of the epidemiological studies reporting on the so-called international mental health crisis (and the economic burden incurred by it) were funded by the pharmaceutical industry ( 56 , 57 ) and one of the largest forums on the global burden of depression ( 58 ) was sponsored by Lundbeck. However, researchers without industry ties note that the GMHM estimates of depression are unreliable and likely exaggerated ( 59 ) conducted a robust and methodologically rigorous study in which they identified primary and secondary data sources used in the global burden of depression estimates and assessed these sources in terms of completeness and representativeness (e. g., were they drawn from a nationally representative population). The authors found significant study design flaws and poor compliance with the inclusion criteria for the depression estimates and concluded that the “ uncritical application of these estimates to international healthcare policy-making could divert scarce resources from other public healthcare priorities” [( 59 ), p. 25].
The economies of influence within the GMHM create the risk of over-treatment and increased (but not evidence-based) ADM prescribing in pediatric populations worldwide. The framework of institutional corruption can be used not only to assess the role and extent of pharmaceutical funding of GMH programs and forums, but also to critically assess the ways in which guild interests and implicit bias can influence the Lancet Commission Reports. Because the conceptual and normative framework of institutional corruption is solution rather than blame oriented, it draws attention to the systemic practices that need to be addressed and highlights the need for epistemological pluralism in depression care.
Solutions for Reform
“ Capabilities rework recovery not from within (where it remains hostage to a rhetoric of suffering), but from without (informed by an idiom of opportunity). Not healing but equality becomes the operant trope” [( 60 ), p. 9].
Certainly, there are profound corollaries to children’s sadness (e. g., acting out, drug use, school and relationship difficulties), whether one labels that sadness from within a medical model (major depressive disorder) or from a more descriptive perspective [e. g., unhappiness, see ( 61 )]. But labels do matter and how we think about a problem determines what we do about it. Diagnosing youth with major depressive disorder affects their self-understandings, creates certain pathways for the future, and forecloses others ( 62 ). It also frequently leads to long-term prescribing and polypharmacy. Thus, mental health professionals must be willing to see the ways in which institutional thinking and practice, and guild interests may impede their ability to genuinely make room for models of care that fall outside the medical model ( 63 ). Many psychiatrists are already doing this by recognizing the limited efficacy of ADM, advocating for conceptual models that focus on the underlying reasons for childhood depression, and by recommending context-rich explanatory models ( 61 , 64 – 66 ). Over a decade ago a leading researcher did not mince words about the discrepancy between expectations of the effectiveness of ADM and the scientific reality:
The widely held clinical view of “ antidepressants” as highly effective and specific for the treatment of all types of depressive disorders is exaggerated. This sobering conclusion is supported by recent findings from the National Institute of Mental Health (NIMH)-sponsored Enhancement Program for Bipolar Disorder (STEP-BD) and Sequenced Treatment Alternatives to Relieve Depression (STAR*D) projects. Antidepressants have limited short-term efficacy in unipolar depressive disorders and less in acute bipolar depression; their long-term prophylactic effectiveness in recurrent unipolar major depression remains uncertain [( 67 ), p. 957].
Unfortunately, however, psychiatrists and other prescribing providers have not heeded Ghaemi’s ( 67 ) cautionary words, and conversations about the diagnosis and treatment of depression in pediatric populations too frequently becomes contentious and polarized (i. e., pro vs. anti-medication). This commentary has tried to avoid this kind of polarization by arguing for a more conservative and contextualized approach to depression care. We have identified two potential drivers of inappropriate ADM prescribing that may lead to unintended harm. In the following section we offer specific suggestions for avoiding over-medicalizing emotional distress and for enhancing rational ADM prescription practices in pediatric populations.
1. As much as clinicians, researchers, and policymakers may want to believe that questionnaire-based depression screening will lead to better mental health outcomes for youth, the current evidence does not lend support for this belief. Therefore, if we want to engage in evidence-based practice, we need to accept the data and develop policies and programs in accordance with the (independent) scientific literature—rather than making policy recommendations based on well-intentioned (but unfounded) beliefs. Advocating for thorough, individualized assessments rather than routine screening is in the public’s best interest. An individualized and stepped approach will facilitate more rational ADM prescribing for children and adolescents insofar as medication would be considered only after psychosocial support and counseling have failed to achieve results.
2. Using a stepped approach to inform short-term ADM prescribing is congruent with a rights-based and social determinants framework. However, bringing this framework to fruition will require a multi-perspective and multidisciplinary approach. For example, there needs to be greater inclusion of people who have been in the mental health care system, medical anthropologists, and sociologists in the GMHM. A multidisciplinary approach with genuine stakeholder involvement can off-set guild interests, expand our current ways of thinking, and help to stop the uncritical exportation of Western conceptualizations of distress ( 60 , 68 , 69 ). Most importantly, engaging with other disciplines will help us see how structural risk can become understood and codified as psychological risk—and how psychology and psychiatry may be inadvertently contributing to this problem.
3. Stronger “ political will” is needed to develop policy initiatives and clinical practice that are aligned with a rights-based and social determinants framework—one that focuses on the socio-political context (e. g., poverty, inequality, violence) of emotional distress ( 70 ). Simply “ scaling up” the diagnosis and treatment of depression in youth (e. g., via routine depression screening) is short-sighted and not evidence-based. The UN Special Rapporteur is correct: we must shift the focus to the conditions that promote well-being for communities, families, and children. As child psychiatrist Sami Timimi ( 61 ) astutely noted, although “ unhappiness among children seems to be rising. [simply] labelling it as depression and prescribing antidepressants is ineffective and possibly harmful. It is time to focus on the underlying reasons” (p. 1394). Until we address the root causes of distress—such as government-led austerity measures that have given rise to poverty, unemployment, and the creation of unlivable conditions—we will not be able to make progress on health promotion efforts ( 71 ).
4. Although it is common practice to try multiple ADMs when there is a lack of response ( 72 – 74 ), a recent independent study found a negative influence of the number of prior ADM trials on treatment outcome. The number of prior ADM trials was associated with a greater odds of depressive relapse as well as a shorter time to relapse ( 75 ). Yet, industry affiliated researchers, clinicians, and clinical practice guidelines continue to recommend long term or even indefinite psychotropic medication treatment [see e. g., ( 76 , 77 )]. Thus, ADM should only be considered when there have not already been multiple prior (appropriate) drug trials, the limitations (in terms of effectiveness and adverse effects) are thoroughly considered and discussed, and when the patient is open and interested in medication.
Author Note
LC is a Clinical Psychologist and Professor at the University of Massachusetts Boston where she teaches courses on psychiatric diagnosis and psychopharmacology, and she is a former Research Fellow at the Edmond J. Safra Center for Ethics, Harvard University. Her research addresses the ethical and medical-legal issues that arise in organized psychiatry because of academic-industry relationships. LC has published widely on these topics and her research has been cited and discussed in major media outlets.
Author Contributions
LC conceptualized the study, developed the first draft of the paper (excluding the section on Global Mental Health) and reviewed and contributed to all subsequent drafts. ZM conceptualized the section on Global Mental health, developed the first draft of this section, and made significant contributions to all drafts. MY contributed to the development of the section on screening, reviewed the paper for accuracy, and made significant contributions to all drafts. AV drafted parts of the conclusion, sections on screening, and made significant contributions to all drafts. SC developed the section on screening in schools and participated in making subsequent revisions to the paper. RT contributed substantially to paper revisions and compiling background research and references. JK contributed to the conception of the paper, compiled background research and contributed to subsequent revisions.
Conflict of Interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Footnotes
- ^ For the right of everyone to the enjoyment of the highest attainable standard of physical and mental health.
- ^ The development of the PHQ was funded by Pfizer.
- ^ It is noteworthy that the co-chair of the DSM IV, in a response to a 2009 study ( 51 ) that found over 90% of the psychiatrists who wrote the clinical practice guidelines for mood disorders and schizophrenia had ties to drug manufacturers, told a USA Today reporter, ” There’s this assumption that a tie with a company is evidence for bias. But these people can be objective” ( 52 ).
References
1. Pūras D. (2017). Statement by Mr Dainius Pūras, Special Rapporteur on the right of everyone to the enjoyment of the highest attainable standard of physical and mental health at the 35th session of the Human Rights Council. Retrieved from http://www. ohchr. org/EN/NewsEvents/Pages/DisplayNews. aspx? NewsID= 22052&LangID= E.
2. Bachmann CJ, Aagaard L, Burcu M, Glaeske G, Kalverdijk LJ, Petersen I, et al. Trends and patterns of antidepressant use in children and adolescents from five western countries, 2005–2012. Eur Neuropsychopharmacol (2016) 26(3): 411–9. doi: 10. 1016/j. euroneuro. 2016. 02. 001
PubMed Abstract | CrossRef Full Text | Google Scholar
3. Lasky T, Krieger A, Elixhauser A, Vitiello B. Children’s hospitalizations with a mood disorder diagnosis in general hospitals in the united states 2000-2006. Child Adolesc Psychiatry Ment Health (2011) 5(1): 27. doi: 10. 1186/1753-2000-5-27
PubMed Abstract | CrossRef Full Text | Google Scholar
4. Twenge JM, Cooper AB, Joiner TE, Duffy ME, Binau SG. Age, period, and cohort trends in mood disorder indicators and suicide-related outcomes in a nationally representative dataset, 2005-2017. J Abnormal Psychol (2019) 128(3): 185–99. doi: 10. 1037/abn0000410
CrossRef Full Text | Google Scholar
5. Healy D. Antidepressants for minors: benefits, risks and peter gøtzsche. Bipolar Disord (2019) 21(8): 797–8. doi: 10. 1111/bdi. 12843
PubMed Abstract | CrossRef Full Text | Google Scholar
6. Hammad TA, Laughren T, Racoosin J. Suicidality in pediatric patients treated with antidepressant drugs. Arch Gen Psychiatry (2006) 63(3): 332–9. doi: 10. 1001/archpsyc. 63. 3. 332
PubMed Abstract | CrossRef Full Text | Google Scholar
7. Le Noury J, Nardo JM, Healy D, Jureidini J, Raven M, Tufanaru C, et al. Restoring Study 329: efficacy and harms of paroxetine and imipramine in treatment of major depression in adolescence. BMJ (2015) 351: h4320. doi: 10. 1136/bmj. h4320
PubMed Abstract | CrossRef Full Text | Google Scholar
8. Plöderl M, Hengartner MP. Antidepressant prescription rates and suicide attempt rates from 2004 to 2016 in a nationally representative sample of adolescents in the USA. Epidemiol Psychiatr Sci (2019) 28(5): 589–91. doi: 10. 1017/S2045796018000136
PubMed Abstract | CrossRef Full Text | Google Scholar
9. Healy D, Le Noury J, Jureidini J. Paediatric antidepressants: Benefits and risks. Int J Risk Saf In Med (2019) 30(1): 1–7. doi: 10. 3233/JRS-180746
CrossRef Full Text | Google Scholar
10. Locher C, Koechlin H, Zion SR, Werner C, Pine DS, Kirsch I, et al. Efficacy and safety of selective serotonin reuptake inhibitors, serotonin-norepinephrine reuptake inhibitors, and placebo for common psychiatric disorders among children and adolescents: a systematic review and meta-analysis. JAMA Psychiatry (2017) 74(10): 1011–20. doi: 10. 1001/jamapsychiatry. 2017. 2432
PubMed Abstract | CrossRef Full Text | Google Scholar
11. Lessig L. America, compromised . Chicago IL. (2018). doi: 10. 7208/chicago/9780226316673. 001. 0001
CrossRef Full Text | Google Scholar
12. Gray JM, Patnick J, Blanks RG. Maximising benefit and minimising harm of screening. BMJ (2008) 336(7642): 480–3. doi: 10. 1136/bmj. 39470. 643218. 94
PubMed Abstract | CrossRef Full Text | Google Scholar
13. Morabia A, Zhang FF. History of medical screening: From concepts to action. Postgraduate Med J (2004) 80(946): 463–9. doi: 10. 1136/pgmj. 2003. 018226
CrossRef Full Text | Google Scholar
14. Gilbody S, Sheldon T, House A. Screening and case-finding instruments for depression: a meta-analysis. Cmaj (2008) 178(8): 997–1003. doi: 10. 1503/cmaj. 070281
PubMed Abstract | CrossRef Full Text | Google Scholar
15. Thombs BD, Ziegelstein RC. Primary care doctors should not screen their patients for depression. Expert Rev Neurother (2017) 17: 645–7. doi: 10. 1080/14737175. 2017. 1327356
PubMed Abstract | CrossRef Full Text | Google Scholar
16. Cosgrove L, Karter J, M, Vaswani A, Thombs BD. Unexamined assumptions and unintended consequences of routine screening for depression. J Psychosom Res (2018) 109: 9–11. doi: 10. 1016/j. jpsychores. 2018. 03. 007
PubMed Abstract | CrossRef Full Text | Google Scholar
17. Roseman M, Saadat N, Riehm KE, Kloda LA, Boruff J, Ickowicz A, et al. Depression screening and health outcomes in children and adolescents: a systematic review. Can J Psychiatry (2017) 62(12): 813–7. doi: 10. 1177/0706743717727243
PubMed Abstract | CrossRef Full Text | Google Scholar
18. Thombs BD, Saadat N, Riehm KE, Karter JM, Vaswani A, Andrews BK, et al. Consistency and sources of divergence in recommendations on screening with questionnaires for presently experienced health problems or symptoms: a comparison of recommendations from the Canadian Task Force on Preventive Health Care, UK National Screening Committee, and US Preventive Services Task Force. BMC Med (2017) 15(1): 1–17. doi: 10. 1186/s12916-017-0903-8
PubMed Abstract | CrossRef Full Text | Google Scholar
19. Kroenke K, Spitzer RL, Williams JB. The PHQ-9: validity of a brief depression severity measure. J Gen Internal Med (2001) 16(9): 606–13. doi: 10. 1046/j. 1525-1497. 2001. 016009606. x
CrossRef Full Text | Google Scholar
20. Posternak MA, Miller I. Untreated short-term course of major depression: A meta analysis of outcomes from studies using wait-list control groups. J Affect Disord (2001) 66(2-3): 139–46. doi: 10. 1016/S0165-0327(00)00304-9
PubMed Abstract | CrossRef Full Text | Google Scholar
21. Rutherford BR, Mori S, Sneed JR, Pimontel MA, Roose SP. Contribution of spontaneous improvement to placebo response in depression: A meta-analytic review. J Psychiatr Res (2012) 46(6): 697–702. doi: 10. 1016/j. jpsychires. 2012. 02. 008
PubMed Abstract | CrossRef Full Text | Google Scholar
22. Whiteford HA, Harris MG, McKeon G, Baxter A, Pennell C, Barendregt JJ, et al. Estimating remission from untreated major depression: a systematic review and meta-analysis. Psychol Med (2013) 43(8): 1569–85. doi: 10. 1017/S0033291712001717
PubMed Abstract | CrossRef Full Text | Google Scholar
23. Mulder RT. An epidemic of depression or the medicalization of distress? Perspect In Biol Med (2008) 51(2): 238–50. doi: 10. 1353/pbm. 0. 0009
CrossRef Full Text | Google Scholar
24. Shamseddeen W, Asarnow JR, Clarke G, Vitiello B, Wagner KD, Birmaher B, et al. Impact of physical and sexual abuse on treatment response in the Treatment of Resistant Depression in Adolescent Study (TORDIA). J Am Acad Child Adolesc Psychiatry (2011) 50(3): 293–301. doi: 10. 1016/j. jaac. 2010. 11. 019
PubMed Abstract | CrossRef Full Text | Google Scholar
25. Benedetti F, Lanotte M, Lopiano L, Colloca L. When words are painful: unraveling the mechanisms of the nocebo effect. Neuroscience (2007) 147(2): 260–71. doi: 10. 1016/j. neuroscience. 2007. 02. 020
PubMed Abstract | CrossRef Full Text | Google Scholar
26. Fournier JC, DeRubeis RJ. For whom do antidepressant medications work. Integrating Sci Pract (2010) 1: 22–4.
27. Jakobsen JC, Katakam KK, Schou A, Hellmuth SG, Stallknecht SE, Leth-Møller K, et al. Selective serotonin reuptake inhibitors versus placebo in patients with major depressive disorder. a systematic review with meta-analysis and trial sequential analysis. BMC Psychiatry (2017) 17(1): 162. doi: 10. 1186/s12888-017-1311-5
PubMed Abstract | CrossRef Full Text | Google Scholar
28. Kirsch I. Challenging received wisdom: antidepressants and the placebo effect. McGill J Med: MJM (2008) 11(2): 219.
29. Moncrieff J, Kirsch I. Empirically derived criteria cast doubt on the clinical significance of antidepressant-placebo differences. Contemp Clin Trials (2015) 43: 60–2. doi: 10. 1136/bmj. 331. 7509. 155
PubMed Abstract | CrossRef Full Text | Google Scholar
30. Undurraga J, Baldessarini RJ. Randomized, placebo-controlled trials of antidepressants for acute major depression: thirty-year meta-analytic review. Neuropsychopharmacol: Off Publ Am Coll Neuropsychopharmacol (2012) 37(4): 851–64. doi: 10. 1038/npp. 2011. 306
CrossRef Full Text | Google Scholar
31. Lenzer J. Is the United States Preventive Services Task Force still a voice of caution? BMJ (2017) 356: j743. doi: 10. 1136/bmj. j743
PubMed Abstract | CrossRef Full Text | Google Scholar
32. Siu AL, and on behalf of the US Preventive Services Task Force. Screening for depression in children and adolescents: US preventive services task force recommendation statement. Pediatrics (2016) 137(3): E20154467. doi: 10. 1542/peds. 2015-4467
PubMed Abstract | CrossRef Full Text | Google Scholar
33. US Preventive Services Task Force. Screening and treatment for major depressive disorder in children and adolescents: US Preventive Services Task Force recommendation statement. Pediatrics (2009) 123(4): 1223–8. doi: 10. 1542/peds. 2008-2381
PubMed Abstract | CrossRef Full Text | Google Scholar
34. Cipriani A, Zhou X, Del Giovane C, Hetrick SE, Qin B, Whittington C, et al. Comparative efficacy and tolerability of antidepressants for major depressive disorder in children and adolescents: a network meta-analysis. Lancet (2016) 388(10047): 881–90. doi: 10. 1016/S0140-6736(16)30385-3
PubMed Abstract | CrossRef Full Text | Google Scholar
35. Roseman M, Kloda L, Saadat N, Riehm K, Ickowicz A, Baltzer F, et al. Accuracy of depression screening tools to detect major depression in children and adolescents: A systematic review. Can J Psychiatry (2016) 61(12): 746–57. doi: 10. 1177/0706743716651833
PubMed Abstract | CrossRef Full Text | Google Scholar
36. Jordon-Young R. Brain Storm: The Flaws in the Science of Sex Differences . Cambridge, MA: Harvard University Press (2011). doi: 10. 2307/j. ctvjf9w21
CrossRef Full Text | Google Scholar
37. Jerant A, Kravitz RL, y Garcia EF, Feldman MD, Cipri C, Nishio D, et al. Potential antidepressant overtreatment associated with office use of brief depression symptom measures. J Am Board Family Med (2014) 27(5): 611–20. doi: 10. 3122/jabfm. 2014. 05. 140038
CrossRef Full Text | Google Scholar
38. Aalsma MC, Zerr AM, Etter DJ, Ouyang F, Gilbert AL, Williams RL, et al. Physician intervention to positive depression screens among adolescents in primary care. J Adolesc Health: Off Publ Soc Adolesc Med (2018) 62(2): 212–8. doi: 10. 1016/j. jadohealth. 2017. 08. 023
CrossRef Full Text | Google Scholar
39. Olfson M, Druss BG, Marcus SC. Trends in mental health care among children and adolescents. New Engl J Med (2015) 372(21): 2029–38. doi: 10. 1056/NEJMsa1413512
PubMed Abstract | CrossRef Full Text | Google Scholar
40. Iglesias-González M, Aznar-Lou I, Peñarrubia-María MT, Gil-Girbau M, Fernández-Vergel R, Alonso J, et al. Effectiveness of watchful waiting versus antidepressants for patients diagnosed of mild to moderate depression in primary care: a 12-month pragmatic clinical trial (INFAP study). Eur Psychiatry (2018) 53: 66–73. doi: 10. 1016/j. eurpsy. 2018. 06. 005
PubMed Abstract | CrossRef Full Text | Google Scholar
41. National Institute for Health and Care Excellence. (2019). Depression in children and young people: identification and management. Retrieved from https://www. nice. org. uk/guidance/ng134/chapter/Recommendations#stepped-care
42. Cooper S. Global mental health and its critics: moving beyond the impasse. Crit Public Health (2016) 26(4): 355–8. doi: 10. 1080/09581596. 2016. 1161730
CrossRef Full Text | Google Scholar
43. World Health Organization. mhGAP: mental health gap action programme: scaling up care for mental, neurological and substance use disorders . Geneva: World Health Organization (2008).
44. Chisholm D, Sweeny K, Sheehan P, Rasmussen B, Smit F, Cuijpers P, et al. Scaling-up treatment of depression and anxiety: a global return on investment analysis. Lancet Psychiatry (2016) 3(5): 415–24. doi: 10. 1016/S2215-0366(16)30024-4
PubMed Abstract | CrossRef Full Text | Google Scholar
45. World Health Organization. (2017). WHO global health days. Retrieved from https://www. who. int/campaigns/world-health-day/2017/campaign-essentials/en/
46. Patel V, Saxena S, Lund C, Thornicroft G, Baingana F, Bolton P, et al. The lancet commission on global mental health and sustainable development. Lancet (2018) 392(10157): 1553–598. doi: 10. 1016/S0140-6736(18)31612-X
PubMed Abstract | CrossRef Full Text | Google Scholar
47. Faregh N, Lencucha R, Ventevogel P, Dubale BW, Kirmayer LJ. Considering culture, context and community in mhGAP implementation and training: challenges and recommendations from the field. Int J Ment Health Syst (2019) 13(1): 1–13. doi: 10. 1186/s13033-019-0312-9
PubMed Abstract | CrossRef Full Text | Google Scholar
48. Mills C. From ‘ invisible problem’ to global priority: the inclusion of mental health in the sustainable development goals. Dev Change (2018) 49(3): 843–66. doi: 10. 1111/dech. 12397
CrossRef Full Text | Google Scholar
49. Bemme D, D’Souza NA. Global mental health and its discontents: An inquiry into the making of global and local scale. Transcult Psychiatry (2014) 51(6): 850–74. doi: 10. 1177/1363461514539830
PubMed Abstract | CrossRef Full Text | Google Scholar
50. Ingleby D. How ‘evidenced-based’ is the movement for global mental health?. Disability Global South (2014) 1(2): 203–26.
51. Cosgrove L, Bursztajn HJ, Krimsky S, Anaya M, Walker J. Conflicts of interest and disclosure in the American Psychiatric Association’s clinical practice guidelines. Psychother Psychosom (2009) 78(4): 228–32. doi: 10. 1159/000214444
PubMed Abstract | CrossRef Full Text | Google Scholar
52. Elias M. Conflicts of interest bedevil psychiatric drug research. USA Today (2009).
53. Cosgrove L, Wheeler EE. Drug firms, the codification of diagnostic categories, and bias in clinical guidelines. J Law Med Ethics (2013) 41(3): 644–53. doi: 10. 1111/jlme. 12074
PubMed Abstract | CrossRef Full Text | Google Scholar
54. Ioannidis JP. Professional societies should abstain from authorship of guidelines and disease definition statements. Circulation: Cardiovasc Qual Outcomes (2018) 11(10): e0004889. doi: 10. 1161/CIRCOUTCOMES. 118. 004889
CrossRef Full Text | Google Scholar
55. Cosgrove L, Shaughnessy AF, Peters SM, Lexchin JR, Bursztajn H, Bero L. Conflicts of interest and the presence of methodologists on guideline development panels: a cross-sectional study of clinical practice guidelines for major depressive disorder. Psychother Psychosom (2017) 86(3): 168–70. doi: 10. 1159/000458727
PubMed Abstract | CrossRef Full Text | Google Scholar
56. Ekman M, Granström O, Omerov S, Jacob J, Landen M. The societal cost of depression: evidence from 10, 000 Swedish patients in psychiatric care. J Affect Disord (2013) 150(3): 790–7. doi: 10. 1016/j. jad. 2013. 03. 003
PubMed Abstract | CrossRef Full Text | Google Scholar
57. Gustavsson A, Svensson M, Jacobi F, Allgulander C, Alonso J, Beghi E, et al. Cost of disorders of the brain in Europe 2010. Eur Neuropsychopharmacol (2011) 21(10): 718–79. doi: 10. 1016/j. euroneuro. 2011. 08. 008
PubMed Abstract | CrossRef Full Text | Google Scholar
58. The Economist. (2014). “ The global crisis of depression: The low of the 21st century? Media pack.” The Economist Group. Available from: www. depression. economist. com
59. Brhlikova P, Pollock AM, Manners R. Global burden of disease estimates of depression – how reliable is the epidemiological evidence? J R Soc Med (2011) 104(1): 25–34. doi: 10. 1258/jrsm. 2010. 100080
PubMed Abstract | CrossRef Full Text | Google Scholar
60. Hopper K. Rethinking social recovery in schizophrenia: What a capabilities approach might offer. Soc Sci Med (2007) 65(5): 868–79. doi: 10. 1016/j. socscimed. 2007. 04. 012
PubMed Abstract | CrossRef Full Text | Google Scholar
61. Timimi S. Rethinking childhood depression. BMJ (2004) 329(7479): 1394–6. doi: 10. 1136/bmj. 329. 7479. 1394
PubMed Abstract | CrossRef Full Text | Google Scholar
62. O’Connor C, Kadianaki I, Maunder K, McNicholas F. How does a psychiatric diagnosis affect young people’s self-concept and social identity? A systematic review and synthesis of the qualitative literature. Soc Sci Med (2018) 212: 94–119. doi: 10. 1016/j. socscimed. 2018. 07. 011
PubMed Abstract | CrossRef Full Text | Google Scholar
63. Mezzina R, Rosen A, Amering M, Javed A. The practice of freedom: Human rights and the global mental health agenda. In: Advances in Psychiatry . Springer, Cham (2019). p. 483–515. doi: 10. 1007/978-3-319-70554-5_30
CrossRef Full Text | Google Scholar
64. Timimi S. The McDonaldization of childhood: Children’s mental health in neo-liberal market cultures. Transcult Psychiatry (2010) 47(5): 686–706. doi: 10. 1177/1363461510381158
PubMed Abstract | CrossRef Full Text | Google Scholar
65. Johnstone L, Boyle M, Cromby J, Dillon J, Harper D, Kinderman P, et al. The power threat meaning framework: Towards the identification of patterns in emotional distress, unusual experiences and troubled or troubling behaviour, as an alternative to functional psychiatric diagnosis . Leicester, United Kingdom: British Psychological Society (2018). Retrieved from https://www. bps. org. uk/sites/bps. org. uk/files/Policy/Policy%20-%20Files/PTM%20Main. pdf .
66. Jureidini J. Explanations and unexplanations: restoring meaning to psychiatry. Aust New Z J Psychiatry (2012) 46(3): 188–91. doi: 10. 1177/0004867412437347
CrossRef Full Text | Google Scholar
67. Ghaemi NS. Why antidepressants are not antidepressants: STEP-BD, STAR*D, and the return of neurotic depression. Bipolar Disord (2008) 10(8): 957–68. doi: 10. 1111/j. 1399-5618. 2008. 00639. x
PubMed Abstract | CrossRef Full Text | Google Scholar
68. Jenkins JH. Anthropology and Psychiatry. In: Bhugra D, Bhui K, editors. Textbook of Cultural Psychiatry . Cambridge: Cambridge University Press (2007). p. 20–32.
69. Summerfield D. Afterword: against “ global mental health”. Transcult Psychiatry (2012) 49(3-4): 519–30. doi: 10. 1177/1363461512454701
PubMed Abstract | CrossRef Full Text | Google Scholar
70. Pūras D. (2019). Report of the Special Rapporteur on the right of everyone to the enjoyment of the highest attainable standard of physical and mental health. Retrieved from https://www. un. org/en/ga/search/view_doc. asp? symbol= A/HRC/41/34
71. National Survivor User Network (NSUN). (2018). Open Letter to the Organisers, Partners and Delegates of the Global Ministerial Mental Health Summit, London 9th and 10 th October, 2018 . (Accessed 24 October 2018). Available at: https://www. nsun. org. uk/news/global-ministerial-mental-health-summit-open-letter .
72. Fixsen A. I’m Not Waving, I’m Drowning”: an autoethnographical exploration of biographical disruption and reconstruction during recovery from prescribed benzodiazepine use. Qual Health Res (2016) 26(4): 466–81. doi: 10. 1177/1049732315576496
PubMed Abstract | CrossRef Full Text | Google Scholar
73. Jenkins J, Glass S. Catastrophic complications related to psychopharmacologic drug withdrawal. Psychiatr Ann (2016) 46(8): 466–72. doi: 10. 3928/00485713-20160621-01
CrossRef Full Text | Google Scholar
74. Prousky JE. (2013). What to do when patients wish to discontinue their psychotropic medications? Effective tapering strategies to limit drug withdrawal and destabilization A clinician’s perspective. Townsend Letter , 63 355–356, Retrieved from https://link. gale. com/apps/doc/A320847720/AONE? u= mlin_b_umass&sid= AONE&xid= d0a29abe .
75. Amsterdam JD, Kim TT. Prior antidepressant treatment trials may predict a greater risk of depressive relapse during antidepressant maintenance therapy. J Clin Psychopharmacol (2019) 39(4): 344–50. doi: 10. 1097/JCP. 0000000000001049
PubMed Abstract | CrossRef Full Text | Google Scholar
76. American Psychiatric Association. (2010, reaffirmed 2015). Practice guideline for the treatment of patients with major depressive disorder, reaffirmed. Retrieved from https://www. guidelinecentral. com/summaries/practice-guideline-for-the-treatment-of-patients-with-major-depressive-disorder-third-edition/#section-420
77. Stahl SM, Morrissette DA, Faedda G, Fava M, Goldberg JF, Keck PE, et al. Guidelines for the recognition and management of mixed depression. CNS Spectr (2017) 22: 203–19. doi: 10. 1017/S1092852917000165
PubMed Abstract | CrossRef Full Text | Google Scholar