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Effectiveness of treatment

In 1966 Eysenck criticized the effectiveness of psychotherapies, arguing that spontaneous remission alone was responsible for the individual’s improved condition - in other words, even if the individual did not have therapy, he or she would have improved, simply through a natural process of recovery, just as with a common cold. Eysenck, like so many others, struggled with many fundamental questions about how to evaluate the effectiveness of therapy. Eysenck suggested ways to measure the effectiveness of therapy - for example, using control groups.

Questions to consider when evaluating the effectiveness of a therapy

  • For how long must a person show relief from his or her symptoms to be categorized as a treatment success? If the patient eventually relapses, does this mean that the therapy was not successful?
  • Should the focus only be on the reduction of symptoms? Is a total absence of symptoms the only criterion for successful treatment that should be used?
  • Is the original diagnosis valid?  Can we really compare two clients who both suffer from depression if they exhibit different symptoms? What role do the extent and the duration of the disorder prior to treatment play in determining the success of treatment?
  • Should only observable behavioural changes be used to assess success?  Or should we rely on the self-reported data of the client?
  • Who decides whether a therapy is successful? The therapist? The patient? An objective observer?

An important question is who decides whether the therapy was successful. Therapists are unlikely to state that their therapy was ineffective, especially if the client has spent a lot of time and money on the sessions. In general, when therapists report on the success of their own therapy, they lack objectivity. Another issue is self-reporting by the client. This assumes that the client is in a position to judge his or her own progress and actually understands the techniques used by the therapist. Family and friends could report on progress made by the client, but sometimes they may be part of the problem and not really objective observers.

In order to study effectiveness, psychologists make use of outcome studies, which focus on the result - did patients show improvement or not? It is simple to say that all of the participants in an outcome study suffered from depression, but it is highly unlikely that they all experienced the disorder to the same degree. Although the therapists all practiced the same type of therapy, therapy is not a standardized procedure. Therapy is highly individualized and personal. It is not a linear sequence of techniques - assessment of the client is ongoing, and treatment techniques are continually adapted to meet needs as they surface.

Most research on effectiveness uses randomized double-blind placebo-controlled studies, where some of the participants are given the treatment, others are given a fake treatment (the placebo), and neither the researchers nor the participants know which is which until the study ends; thus, they are both "blind."

However, a single study is not enough to determine the effectiveness of a treatment.  For that reason, researchers carry out a meta-analysis.

A meta-analysis systematically assesses the results of previous research to derive conclusions about that body of research. Researchers carrying out a meta-analysis are examining the consistency of the results - or what is known as the effect size - the standardized difference between the results among the chosen studies.  It is important that the studies that are chosen are testing the same hypothesis.  A meta-analysis helps researchers to compare data from a much larger sample than is usually possible in a single study.  However, there is the danger of researcher bias when choosing which studies to include in a meta-analysis.  Another concern is that research that does not support a hypothesis often is not published - this form of bias is known as the publishing bias or the file drawer effect.

Smith and Glass (1977) carried out a meta-analysis of 375 controlled studies of psychotherapy; they found that on average, a client that receives therapy is better off than 75% of untreated individuals. The researchers also concluded that all types of therapy are to some extent effective and that it may not be the specific kind of therapy that makes a difference. This is perhaps the same effect that is observed in the placebo effect - that is, just the fact that a person has a treatment is beneficial.

The same positive results were found in a more recent meta-analysis based on 147 studies and several thousand participants by Cuijpers et al. (2011). The aim of the study was to investigate the overall impact of psychotherapy in the treatment of adult depression compared to no treatment. They found that all forms of psychotherapy were found to be superior to not receiving therapy. Both of these meta-analyses challenge Eysenck's theory of spontaneous remission.

The effectiveness of treatments for depression

There is an enormous market for antidepressant drugs. In the UK for example, the National Health Service spent £270 million on antidepressants in 2011. But are the drugs effective? Would CBT be an equal or even better alternative?

ATL: Thinking critically

Take a look at each of the following findings of the Nuffield Trust & Health Foundation (Spence et al, 2014) on the use of anti-depressants. How might you explain each of these findings?

1. Areas of the UK with more white people, more women, and more people over the age of 65, had the heaviest use of antidepressants.

2. Doctors who prescribe more antibiotics also tend to prescribe more antidepressants.

3. An analysis of changes over time found that increases in unemployment were associated with significant increases in the number of anti-depressant tablets dispensed.

4. Almost half of the increase between 1998 and 2012 occurred in the four years between the 2008 financial crisis and 2012. Meaning the annual rise in prescriptions has risen to 8.5% per year since the banking crash, compared to 6.7% before. This striking increase is despite the incidence of depression having risen much more slowly over the same time period

What overall conclusions can you draw from this data?

Elkin et al. (1989) carried out one of the best-controlled outcome studies in the treatment of major depression, conducted by the National Institute of Mental Health. This study included 28 clinicians who worked with 250 patients diagnosed as having major depression. Individuals were randomly assigned to treatment using either an antidepressant drug, interpersonal therapy (a short-term therapy that focuses on interpersonal relationships), or cognitive-behavioural therapy. In addition, a control group was given a placebo pill. The clients that received either a placebo or the drug treatment were part of a double-blind design so that neither the patients nor the doctors knew which was which. All patients were assessed at the start, after 8 and 12 weeks of treatment, and after 18 months.

The results showed that just over 50 percent of patients recovered in all three of the treatment conditions. Only 29 percent recovered in the placebo group. The drug treatment produced faster results, but the study showed no overall difference in the effectiveness of CBT, IPT, and drug treatment. In other words, it did not matter which treatment patients received, all the treatments had positive results.

Kirsch and Sapirstein (1998) carried out a meta-analysis, covering 2318 patients who had been randomly assigned to either antidepressant medication or a placebo in 19 double-blind clinical trials. They found that seventy-five percent of the improvement in the drug group also occurred when people were given dummy pills with no active ingredient in them. A later study by Kirsch et al (2008) found no significant difference between placebo and SSRIs, except in the case of the most severely depressed patients. The researchers argue that the placebo effect may account for any observed improvement.

In the USA, all studies conducted by pharmaceutical companies must be filed with the Food and Drug Administration (FDA) and they rate the findings as either positive, neutral, or negative. Researchers can use these files to conduct meta-analyses that include all studies, also those with negative results. One of the problems with most meta-analyses is that they depend on published work but studies selected for publication of clinical trials may not tell the whole story and therefore lead to unrealistic estimates of drug effectiveness. Turner et al (2008) argue that one of the problems of studies of the effectiveness of anti-depressants is in fact publication bias. As a result, the results of the published studies could exaggerate the effectiveness of SSRIs like Prozac. The research team examined what happened to the data from antidepressant studies conducted between 1987 and 2004. There were 74 FDA-registered studies in all. FDA rated 38 studies as having positive findings and 37 of these studies were published. The remaining 36 studies were rated as having either questionable (12 studies) or negative findings (24 studies).3 of these studies were published as not positive but 11 studies were published with results that seemed positive even though they had been rated as questionable or negative by FAD. The remaining studies were not published. Overall, the researchers found that 94% of studies actually published reported positive outcomes; when published and unpublished studies were included for analysis, the percentage of positive outcomes decreased to 51%.

Results like these are difficult to interpret but it could seem that journals are less likely to publish research with negative results. According to the researchers, the published literature gave an effect size nearly one third larger than the effect size found in the FDA data. However, they warn that even though they cannot determine the exact cause for the observed publication bias the consequences of selective publication can lead doctors to make inappropriate prescription decisions that may not be in the best interest of their patients.

Before you think that this is a conspiracy by the drug companies, it is important to point out that this is a problem in all areas of psychology. It is referred to as the file drawer effect - that is, a bias in the scientific literature where only successful or positive results of the research are published, and studies where the null hypothesis is retained are not published. This then ends up misrepresenting the overall research in the field.

Finally, research by Riggs et al. (2007) studied the effectiveness of CBT in combination with either a placebo or an SSRI. The study was a randomized double-blind study with 126 adolescents, aged 13 - 19, who suffered from depression. Many of the participants were recruited from the social service and juvenile justice systems.

The researchers found that the adolescents in the study complied with the treatment to a large extent. After the study, the participants were rated by a physician who found that 67 percent of the patients in the CBT group + placebo group and 76 percent of the patients in the SSRI drug + CBT were judged as “very much improved” or “much improved” after being treated for four months. The researchers concluded that treatment with drugs and CBT is effective but that treatment with a placebo and CBT is almost as effective. The participants’ self-reports after the study showed that depression had decreased and so had the other behavioural problems. The researchers argued that teaching the adolescents cognitive and behavioural techniques helped them to manage negative thoughts and feelings that could trigger substance use. Treatment could start with CBT alone, and if the patient does not respond to that, a drug from the SSRI group could be added.

Wait-list control groups

Many treatment efficacy studies make use of a wait-list control group as part of a randomized control trial (RCT). Participants will be randomly allocated to either the experimental group or the control group. Assessments will be made of both groups' symptoms before treatment to establish a baseline. Treatment will then be commenced with the experimental group but not the wait-list group.

Over the course of the study, the researchers will re-assess symptoms in both groups, with the expectation that symptoms will be significantly reduced in the treatment group but not the wait-list group. Control groups are important in this sort of research as the mere passing of time may lead to changes in symptoms, thus any difference in symptoms pre and post-treatment in the experimental group, that is over and above that which is experienced by the wait-list group can be said to have been caused by the treatment and not the passage of time.

Since it would be unethical to withhold potentially beneficial treatments from the people in the control group they are placed on a waiting list and once the first group has finished their treatment program, treatment is commenced with the wait-list group. Data may or may not be collected regarding symptoms reduction in the second group, but if it is, this is excellent as it increases the sample size, thus improving the statistical power of subsequent statistical tests.

Thinking critically

1. What do you think it would be like to be in the waitlist group as opposed to the treatment group? How might you feel?

You might feel disappointed that you have to wait and worry that your symptoms might worsen. On the other hand, you might be glad that you will be receiving treatment soon.

2. How might this affect the way you behave, especially with reference to managing daily symptoms of a disorder like GAD?

If you feel disappointed you might start worrying more, leading to more avoidance of social situations that could help to make you feel better, thus worsening your symptoms more than usual. If you are glad about the future treatment this might make you more complacent about managing your disorder, i..e you might start to decrease any medications you are on as you believe you won’t need them soon. Either way, there will be cognitive and social changes in terms of how the person sees themselves and their disorder now that they know that they will be receiving treatment, and these changes could affect the severity of their symptoms.

3. Having answered the questions above, can you think of any limitations of using a wait-list group as opposed to a normal untreated control group? Can you think of any ways in which you could overcome this problem?

A limitation of the wait-list methodology is that when people know they are in a wait-list group this can elicit actual and reported changes in their symptoms, as their behaviour during the waiting period may be different from what it would have been in they did not expect to be commencing treatment in the near future. This reduces internal validity. One way to eliminate this issue would be to recruit a waitlist group but withhold the information that they will receive treatments and simply tell them that the study is about the etiology of the disorder rather than the efficacy of a treatment that they will be allowed to access if they wish in the future. This could be seen as unethical, but the deception is necessary to improve the validity of the study, the results of which could help many people with GAD.

Checking for understanding

What is meant by spontaneous remission?

 

 

Which of the following is not a limitation of outcome studies?

Most research on effectiveness uses randomized double-blind placebo-controlled studies, where some of the participants are given the treatment, others are given a fake treatment (the placebo), and neither the researchers nor the participants know which is which until the study ends; thus, they are both "blind."

 

Which of the following is a limitation of meta-analyses?

Meta-analyses only rely on published research. This may lead to a bias in that research that did not produce significant results is often not published.

 

Which of the following is the most accurate statement of Smith & Glass's (1977) study on the effectiveness of therapy?

They found that on the average, a client that receives therapy is better off than 75% of untreated individuals

 

Which of the following is the conclusion of Kirsch et al"s (2008) study of the effectiveness of Prozac in the treatment of depression?

 

 

What is the "File Drawer Effect?"

 

 

Total Score:

References: Abnormal