Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2016 Oct;25(5):428-435.
doi: 10.1017/S2045796015000864. Epub 2015 Sep 28.

How to prove that your therapy is effective, even when it is not: a guideline

Affiliations

How to prove that your therapy is effective, even when it is not: a guideline

P Cuijpers et al. Epidemiol Psychiatr Sci. 2016 Oct.

Abstract

Aims: Suppose you are the developer of a new therapy for a mental health problem or you have several years of experience working with such a therapy, and you would like to prove that it is effective. Randomised trials have become the gold standard to prove that interventions are effective, and they are used by treatment guidelines and policy makers to decide whether or not to adopt, implement or fund a therapy.

Methods: You would want to do such a randomised trial to get your therapy disseminated, but in reality your clinical experience already showed you that the therapy works. How could you do a trial in order to optimise the chance of finding a positive effect?

Results: Methods that can help include a strong allegiance towards the therapy, anything that increases expectations and hope in participants, making use of the weak spots of randomised trials (risk of bias), small sample sizes and waiting list control groups (but not comparisons with existing interventions). And if all that fails one can always not publish the outcomes and wait for positive trials.

Conclusions: Several methods are available to help you show that your therapy is effective, even when it is not.

Keywords: Control groups; randomised trial; researcher allegiance; risk of bias.

PubMed Disclaimer

References

    1. Akobeng AK (2005). Understanding randomised controlled trials. Archives of Disease in Childhood 90, 840–844. - PMC - PubMed
    1. Barth J, Munder T, Gerger H, Nüesch E, Trelle S, Znoj H, Jüni P, Cuijpers P (2013). Comparative efficacy of seven psychotherapeutic interventions for patients with depression: a network meta-analysis. PLoS Medicine 10, e1001454. - PMC - PubMed
    1. Boyuan Z, Yang C, Ke C, Xueyong S, Sheng L (2014). Efficacy of acupuncture for psychological symptoms associated with opioid addiction: a systematic review and meta-analysis. Evidence-Based Complementary and Alternative Medicine: eCAM 2014, 313549. - PMC - PubMed
    1. Carey B (2012). Feeling Anxious? Soon There Will Be an App for That. The New York Times 13 February.
    1. Chalmers I, Glasziou P (2009). Avoidable waste in the production and reporting of research evidence. Lancet (London, England) 374, 86–89. - PubMed