Evidence map›Paper›PMID 36125880›Full record

ReviewJMIR mental health2022

Efficacy and Conflicts of Interest in Randomized Controlled Trials Evaluating Headspace and Calm Apps: Systematic Review.

Alison O'Daffer, Susannah F Colt, Akash R Wasil, Nancy Lau

Open access · goldAbstract readReview
In one paragraph

Review in JMIR mental health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 pooled it
9.8field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

24 citing papers in PubMed, 1 synthesis or guideline pooled it, 68 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Trial
  4. Trial
  5. Trial
  6. Article
  7. Article
  8. Article
  9. Transdiagnostic prevention in youth mental health, Part II: interventions.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2026
    Review
  10. Article
  11. Article
  12. Article
  13. Review
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 1 country.

Alison O'DafferPalliative Care and Resilience Research Program, Center for Clinical and Translational Research, Seattle Children's Research Institute, Seattle, WA, United States.ORCID https://orcid.org/0000-0002-4086-9574
Susannah F ColtPerelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States.ORCID https://orcid.org/0000-0002-8703-200X
Akash R WasilDepartment of Psychology, University of Pennsylvania, Philadelphia, PA, United States.ORCID https://orcid.org/0000-0002-0326-0364
Nancy LauPalliative Care and Resilience Research Program, Center for Clinical and Translational Research, Seattle Children's Research Institute, Seattle, WA, United States.ORCID https://orcid.org/0000-0002-2160-5362
University of Pennsylvania · USUniversity of Washington · US

Funding

University of Washington Implementation Science Training Program (UW-ISTP)K12K12HL137940 · NHLBI · UNIVERSITY OF WASHINGTON · PI AU, DAVID H, CURTIS, J RANDALL · 2017 to 2021
$2.9M
Pilot trial testing mobile health psychosocial intervention for Adolescentsand Young Adults with cancerK08CA263474 · NCI · SEATTLE CHILDREN'S HOSPITAL · PI Nancy Lau · 2022 to 2026
$1.0M
NCI NIH HHS K08 CA263474NHLBI NIH HHS K12 HL137940
6 · The paper itself

Abstract

backgroundAlthough there are thousands of mental health apps, 2 apps, Headspace and Calm, claim a large percentage of the marketplace. These two mindfulness and meditation apps have reached tens of millions of active users. To guide consumers, clinicians, and researchers, we performed a systematic review of randomized controlled trials (RCTs) of Headspace and Calm.

objectiveOur study aimed to evaluate intervention efficacy, risk of bias, and conflicts of interest (COIs) in the evidence base for Headspace and Calm, the two most popular mental health apps at the time of our search.

methodsTo identify studies, we searched academic databases (Google Scholar, MEDLINE, and PsycINFO) and the websites of Headspace and Calm in May 2021 for RCTs of Headspace and Calm testing efficacy via original data collection, published in English in peer-reviewed journals. For each study, we coded (1) study characteristics (eg, participants, sample size, and outcome measures), (2) intervention characteristics (eg, free vs paid version of the app and intended frequency of app usage), (3) all study outcomes, (4) Cochrane risk of bias variables, and (5) COI variables (eg, presence or absence of a preregistration and the presence or absence of a COI statement involving the company).

resultsWe identified 14 RCTs of Headspace and 1 RCT of Calm. Overall, 93% (13/14) of RCTs of Headspace and 100% (1/1) of RCTs of Calm recruited participants from a nonclinical population. Studies commonly measured mindfulness, well-being, stress, depressive symptoms, and anxiety symptoms. Headspace use improved depression in 75% of studies that evaluated it as an outcome. Findings were mixed for mindfulness, well-being, stress, and anxiety, but at least 40% of studies showed improvement for each of these outcomes. Studies were generally underpowered to detect "small" or "medium" effect sizes. Furthermore, 50% (7/14) of RCTs of Headspace and 0% (0/1) of RCTs of Calm reported a COI that involved Headspace or Calm (the companies). The most common COI was the app company providing premium app access for free for participants, and notably, 14% (2/14) of RCTs of Headspace reported Headspace employee involvement in study design, execution, and data analysis. Only 36% (5/14) of RCTs of Headspace were preregistered, and the 1 RCT of Calm was not preregistered.

conclusionsThe empirical research on Headspace appears promising, whereas there is an absence of randomized trials on Calm. Limitations of this study include an inability to compare Headspace and Calm owing to the dearth of RCTs studying Calm and the reliance on author reports to evaluate COIs. When determining whether or not mental health apps are of high quality, identification of high-quality apps and evaluation of their effectiveness and investigators' COIs should be ensured.

Indexed as

digital health applicationdigital health interventionhealth applicationshealth appsmeditation appmental healthmHealthmindfulnessmobile healthpsychological interventions

Identifiers

PMID36125880
PMCPMC9533203
OpenAlexW4293397205

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.