Researching Abnormality 175
Researching Treatment
Let’s say that your interest in depression following breakups, plus your experiences
at the counseling center helping students like Carlos, have led you to develop a new
short-term treatment. In this treatment, which you have named “grief box therapy,”
you encourage patients to create “grief boxes”—boxes into which they place remind-
ers of their recently ended relationships, and objects that symbolize their feelings of
loss and hopelessness. Moreover, as part of the treatment, you strongly encourage
patients to be with other people—friends, family members, or coworkers—as much
as possible to counteract their feelings of loss. You—and other clinicians—will want
to know whether your treatment is effective; that is, is it better for treating depres-
sion (specifi cally the sort following a breakup) than other treatments? What specifi c
questions might you want to ask that research can help to answer? Research on
treatment helps mental health professionals decide what treatments to use with a
given patient who has a particular disorder.
As you will see in the following sections, research on treatment has challenges
above and beyond those we’ve already discussed for research on psychopathology.
And such research faces different challenges, depending on whether the target of
treatment is neurological, psychological, or social factors.
Researching Treatments That Target
Neurological Factors
Researchers and clinicians want to answer several questions when a new medication
is developed, when an existing medication is used in a new way (to treat different
symptoms), or when a new biomedical procedure is developed:
- Is the new treatment more effective than no treatment?
- If a treatment is effective, is it because of its actual properties (such as a medica-
tion’s particular ingredients) or because of patients’ expectations about what the
treatment will do?
- Is the treatment more effective than other treatments currently used for those
symptoms or problems?
- What are the treatment’s side effects, and are they troubling enough that patients
tend to stop the treatment? How does this dropout rate compare to that for the
other treatments?
To assess a treatment, researchers fi rst need to determine what specifi c vari-
ables should be measured and to defi ne what it means to be “effective.” Research
on treatment frequently relies on an experimental or quasi-experimental design;
in such studies, the independent variables might be the type of treatment, a spe-
cifi c technique, or type or dose of medication. And the dependent variables (the
things measured) might be any of the variables listed in any column of Table 4.1 (on
page 114), such as neural activity, specifi c mental contents, or family functioning.
These variables are often related to the symptoms listed in the DSM-IV-TR criteria
for the disorder under investigation.
Drug Effect or Placebo Effect?
One way to determine whether a treatment is effective is to compare it to no
treatment. If people receiving the treatment are better off than those who don’t
receive any treatment, the treatment may have made the difference. But with bio-
medical treatments, such a comparison has a built-in problem: Patients know
whether or not they have received the treatment. Perhaps people improve after tak-
ing a medication (or after ECT, TMS, or some other procedure) not because of the
properties of the treatment itself, but because they expect to improve after receiving
treatment. In fact, many studies have confi rmed that expecting a treatment to be
helpful leads to improvement, even if the individuals don’t receive any actual treat-
ment (Kirsch & Lynn, 1999). For example, having a TMS coil pressed on the scalp