How Psychologists Capture the Complexities of Mental Illness

When it comes to understanding and treating mental illness, clinical psychologists must strike a balance between grouping people with shared characteristics together and recognizing people’s individual paths, circumstances, and needs. Below I’ve described some of the models that clinical psychologists use to reflect these complexities.

1) Biopsychosocial Model

Most modern psychologists understand that mental illness is the result of both nature and nurture. Accordingly, biopsychosocial models map out biological, psychological, and social risk factors for mental health outcomes and highlight potential intervention points. This model is so prominent that clinical psychology graduate programs require education in human development, individual differences, and biological, cognitive, affective, and social aspects of behavior, and you can’t become a licensed psychologist without passing a formal test on these topics. The idea is that mental health outcomes result from the interplay of biological, psychological, and sociocultural factors and that different people arrive at outcomes through different combinations of factors. Here’s a sample I constructed from some suicide risk factors:

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2) Diathesis-Stress Model

People with identical genetics (i.e., monozygotic twins) and people with shared stressful events (e.g., witnessing the same violent act) can have different mental health outcomes. For example, many people with family histories of eating disorders will not develop eating disorders. Likewise, many people who have been bullied about their weight will not develop eating disorders. A diathesis-stress model of eating disorders explains this by saying that a person must have both a vulnerability (e.g., a genetic predisposition) and a significant stressor (e.g., weight-related bullying) to develop an eating disorder.

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3) Multifinality and Equifinality

People who experience a similar event (e.g., trauma) can have disparate outcomes that depend on other factors (e.g., financial resources, societal views of survivors). This is called multifinality. Meanwhile, people with similar outcomes (e.g., posttraumatic stress disorder) can arrive there via distinct pathways (e.g., surviving sexual assault, a car accident, being the victim of gun violence). This is captured with the term equifinality.

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4) Distal vs. Proximal Factors

Most research on mental illness focuses on a few risk factors per study. Organizing findings across studies can feel like fitting puzzle pieces together to create a holistic picture. One way to do this is by grouping risk factors in terms of how far in time (distal) and how close in time (proximal) they are to the onset of mental illness. For example, strategies for reducing distal risk factors for adult depression may include public policy efforts to prevent childhood maltreatmentincrease access to quality health care, and decrease discrimination. Meanwhile, therapy for individuals with depression may focus on more proximal factors (e.g., enhancing coping skills, increasing social support, behavioral activation).

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5) Nomothetic vs. Idiographic

I highly recommend this article by Beltz, Wright, Sprague, and Molenaar (2016) for detailed definitions of these terms:nom idioFor example, imagine that a client gets diagnosed with obsessive-compulsive disorder (OCD). In order to figure out the best way to help, a therapist begins with nomothetic information (e.g., the diagnosis) to select a treatment. A randomized clinical trial suggests that a type of cognitive-behavioral therapy called exposure and response prevention (EX/RP) leads to significant improvement among 80% of people with OCD after 17 sessions. Based on available information, EX/RP is a good place to start. However, it’s possible that the client will be among the 20% of people who don’t respond to EX/RP. Therefore, therapists must also pay attention to idiographic information after initiating treatment (e.g., by regularly assessing the client’s OCD symptoms over time). If the client’s not responding to therapy, the idiographic data signal that the therapist must figure out why and make appropriate changes.

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For more information on nomothetic and idiographic approaches, check out:

Clinical Practice as Natural Laboratory for Psychotherapy Research: A Guide to Case-Based Time-Series Analysis

Clinical Versus Actuarial Judgment

Single-Case Experimental Designs for the Evaluation of Treatments for Self-Injurious and Suicidal Behaviors

What Can the Clinician Do Well?

I’ve described frameworks that clinical psychologists use to understand people’s mental health needs at multiple levels while respecting their individuality. The dedicated people working hard to alleviate suffering in the face of these challenges give me hope for the future of the field.

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In Defense of Diagnosis

In “Why I Do Not Attend Case Conferences,” Paul Meehl (1973) described reasoning errors that emerge during case conceptualization conversations among mental health professionals. One of the issues Meehl discussed at length (pp. 272-281) was an antinosological bias, defined as “an animus against diagnosis.” Here’s his response to a common objection to diagnostic labels:

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Meehl described his style there as “highly critical and aggressively polemic,” which he justified by saying, “If you want to shake people up, you have to raise a little hell.” The second section has a much more constructive tone. Both sections are valuable, and I agree with his overall thesis that compassionate, effective mental health care requires clearheaded case conceptualization. Meehl is also correct that 1) meaningful diagnostic systems are crucial for advancing the field and 2) some critiques of the Diagnostic and Statistical Manual of Mental Disorders (DSM) reflect misunderstandings of the diagnostic process. I’ll discuss some of the major criticisms and benefits below.

Criticisms

1. The DSM pathologizes nonpathological behavior.

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Barbara Gittings, Frank Kameny, & Dr. H. Anonymous, gay rights activists at a 1972 APA convention

This is true in specific cases. One of the most well-known examples is homosexuality being labeled as a mental disorder in older versions of the DSM. As a result of persistent, organized activism bolstered by research, homosexuality was removed from the DSM. You can learn more about it in excellent podcast episodes by This American Life and Radiolab. Currently, the DSM developers attribute elevated mental health problems among lesbian, gay, and bisexual people to discrimination, actively oppose conversion therapy, and push for policies and law that reduce disparities. In order to prevent future harm, this history must be considered in diagnostic decisions. As Martin Luther King, Jr. said, psychology shouldn’t label people as maladjusted for not adjusting to bigotry.

However, we should also consider that appropriate diagnoses have helped people access beneficial services (e.g., children with intellectual disabilities or autism receiving accommodations in school and other public places). Additionally, the DSM specifically instructs clinicians to only assign diagnoses when a cluster of multiple symptoms: 1) causes clinically significant distress and/or impairment, 2) is persistent and severe for a length of time, 3) deviates significantly from developmental expectations, and 4) cannot be attributed to other factors (e.g., medical, cultural). These types of safeguards reduce the likelihood of pathologizing nonpathological behavior.

2. People are over/misdiagnosed.

Misdiagnosis occurs for many reasons ranging from improper assessment procedures, failure to consider pertinent contextual factors, and biases. For example, attention-deficit/hyperactivity disorder is a meaningful diagnostic category with real-world implications. Nonetheless, there’s evidence that it may be overdiagnosed, which can lead to inappropriate treatment plans.

Issues that exacerbate the problem include 1) lack of funds/insurance coverage for comprehensive assessment procedures and 2) diagnosers who rely too much on their intuition instead of established diagnostic tools. The Ethical Principles of Psychologists and Code of Conduct lays out stringent rules for assessment. A system that ensures adherence to these rules would reduce misdiagnosis while permitting proper diagnosis for people who need treatment and/or services.

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3. Classification decisions are made by people with conflicts of interest.

There have been some egregious examples of psychiatry researchers receiving large sums of money from pharmaceutical companies and not properly disclosing them. One instance is covered in a PBS Documentary and in this New York Times article:

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In an effort to address this problem, DSM-5 panel members were required to disclose conflicts of interests. Cosgrove and Krimsky (2012) made a compelling case that further action was needed:

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To be clear, psychiatric medications have helped numerous people and are warranted in particular circumstances. However, steps must be taken to reduce potential biases driven by the pharmaceutical industry.

4. Labeling someone with a mental disorder is stigmatizing.

Despite signs of improvement, prejudice and stigma continue, especially for certain mental health conditions. The solution is to eradicate the stigma rather than the nosology (but it’s worth listening to Szasz’s arguments opposing that idea). When properly applied and understood, diagnoses can alleviate suffering by pointing to effective treatments, connecting people with support and advocacy groups, and evoking compassion. This was nicely demonstrated in Crazy Ex-Girlfriend:

I’m aware mental illness is stigmatized/But the stigma is worth it if I’ve realized/Who I’m meant to be/Armed with my diagnosis

5. Diagnostic categories do not accurately reflect nature.

There are different versions of this, but I’ll focus on the most common: 1) most mental health problems are dimensional (occurring on a continuum) rather than categorical (e.g., there are gophers and chipmunks, but no “gophmunks“), 2) there’s too much variability within diagnostic categories for them to be meaningful, and 3) DSM symptoms are not necessarily the core symptoms of disorders (e.g., for depression).

In response, 1) people have proposed replacing the categorical model with empirically-informed dimensional models (e.g., even if psychopathy occurs on a continuum, it’s quite meaningful to diagnose those in the highest range), 2) diagnostic presentation variability depends on the diagnosis (e.g., people with bulimia nervosa have more in common, on average, than people with borderline personality disorder) and fewer diagnoses with more specifiers could help (e.g., see Pincus, 2011), 3) network analyses are useful for identifying the central symptoms of mental disorders. A concern about major DSM changes is that they will disrupt the work of clinicians and researchers (see Pilkonis et al., 2012). Despite these issues, we need to create a DSM that’s better at carving nature at its joints rather than resisting change or giving up the enterprise altogether.

Benefits

1. Agreed upon definitions facilitate clinically-relevant research.

I agree with McFall’s Manifesto (1991), which states that “the future of clinical psychology hinges on our ability to integrate science and practice” (to hear this debated, check out this Talk of the Nation episode). For example, treatment research for bipolar disorder has more generalizability to real-world clinical settings when therapists and scientists use the same operational definition of bipolar disorder. Moreover, consistent mental disorder definitions across studies makes cumulative knowledge possible. Classification systems enhance communication and research, which contribute to the big picture goal: alleviating suffering.

2. Diagnoses convey useful information when derived from appropriate assessment procedures.

Accurate diagnoses point to literature on the causes, correlates, and effective treatments for specific mental health problems. If an adolescent girl is accurately diagnosed with anorexia nervosa, we learn that she has an increased risk for bone fractures, arrythmias, depression, and suicide and should be monitored for each of these dangers. Importantly, we also know that family-based treatment is likely to be a good treatment option for her and that her parents can connect with parents experiencing similar struggles. To learn more about the process for evaluating levels of empirical support for therapies, look here for youth treatments and here for adult treatments.

3. Diagnostic feedback (when done well) can lead to positive effects.

People tend to experience positive feelings (e.g., optimism, relief) after receiving diagnostic information derived from appropriate assessment procedures and delivered in a collaborative, constructive manner. Similarly, there’s evidence that taking personality inventories and being told about the results from a therapist leads to increased self-esteem, more perceived self-competence, and lowered distress. Why would people feel better after learning about their mental health problems and potentially maladaptive personality characteristics? My guess is that people already know that they’re experiencing certain kinds of issues. When a therapist demonstrates an understanding of the problems by placing them in a meaningful context, they feel validated and hopeful that they can be helped.

4. Diagnostic labels enhance communication between treatment team members and aid continuity in care.

Diagnostic labels ease the transition for clients from one therapist to another (e.g., by saving them from having to repeat assessment procedures) and by communicating efficiently to other members of their treatment team (e.g., social workers, psychiatrists, physicians, clergy).

5. The DSM-5 has improved since the original version and has built-in mechanisms for change.

Despite the hindrances mentioned above, the DSM has formal, built-in processes for evolving with new scientific discovery. New versions are created with the explicit goal of making the classification system better reflect nature. Hyman (2010) argued that we should not reify existing diagnostic constructs. Instead, we must remember that diagnoses are constructed for clinical and scientific purposes. Therefore, improving the DSM requires openness to change and flexibility.

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In conclusion, despite the concerns highlighted above, I agree with Meehl that antinosological biases impede progress and that mental health classification systems should be improved rather than abandoned altogether. I’m grateful for the dedicated clinicians and scientists working to deepen our understanding of mental health and feel encouraged by efforts to use that information to improve people’s lives.

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In an effort to keep this post relatively brief, I highlighted some main points and examples. Some of the more technical, in-depth things I’ve co-written about classification are linked below:

The Classification of Eating Disorders – The Oxford Handbook of Eating Disorders

Empirical Approaches to the Classification of Eating Disorders – Developing an Evidence-Based Classification of Eating Disorders

Nonsuicidal Self-Injury Disorder: A Preliminary Study – Personality Disorders: Theory, Research, and Treatment

Patients’ Affective Reactions to Receiving Diagnostic Feedback – Journal of Social & Clinical Psychology

Suicidal Behavior on Axis VI – Crisis

Taxometric Analysis: Introduction and Overview – International Journal of Eating Disorders

The Validity and Clinical Utility of Binge Eating Disorder – International Journal of Eating Disorders

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A major inspiration for creating the Jedi Counsel blog and podcast was to demystify issues surrounding diagnosis through analyses of fictional characters.

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