8 Psychotherapy8.4 Service delivery and evaluation in psychotherapy

8.4.3 Psychotherapy outcome studies over time

1 min read1 figure

Written by Resident Doctor Committee · Published

New in the 2027 syllabus

The College added this topic to the exams from January 2027.

Study designs and the questions they answer

Design

Main question

Common limitation

Randomised trial

Does allocation to the therapy change the outcome?

Selected patients and specialist therapists mean the results may not apply to everyday services

Pragmatic trial

Does the intervention help in ordinary services?

Delivery and usual care vary, which makes results harder to interpret

Cohort follow-up

How do outcomes develop after treatment?

Dropout (attrition) and later treatment can explain an apparent change

Routine service monitoring

Who gets better or worse during care?

With no comparison group, change cannot be put down to therapy alone

Qualitative study

How do people experience benefit, harm and engagement?

It does not estimate the size of a treatment effect

Choosing when to measure

  • Post-treatment outcomes show change by the end of therapy. Follow-up shows whether those gains last, fade or only appear later.

  • Follow-up timing must match across groups. Studies should be clear whether time counts from allocation or from the end of treatment.

  • Later treatment and major life events should be recorded, because both can affect longer-term outcomes.

  • Dropout may remove people who got worse or found treatment unacceptable. Results among those who completed treatment then look better than they really are.

Invented courses show why post-treatment scores cannot establish durability. They are not comparative treatment effects; attribution also requires suitable comparators, assessment of attrition and information about subsequent care. Original illustration drawn in Python for MRCPsychiatrist; see images/ATTRIBUTION.md

What to measure

  • Outcomes include symptoms, functioning, quality of life, the patient's own goals, adverse effects and use of other services.

  • Reliable change is larger than measurement error alone would explain. Clinically meaningful change is an improvement that matters to the patient.

  • Repeated measurement can show people who are getting worse or have stopped improving, even when the group average looks good.

  • Long-term follow-up shows that gains persisted only for the period observed. It does not show lifelong benefit.