Evidence map›Paper›PMID 32695740›Full record

ArticleFrontiers in public health2020

Feasibility, Acceptability, and Influence of mHealth-Supported N-of-1 Trials for Enhanced Cognitive and Emotional Well-Being in US Volunteers.

Richard L Kravitz, Adrian Aguilera, Elaine J Chen, Yong K Choi, Eric Hekler, Chris Karr, Katherine K Kim, Sayali Phatak, Sayantani Sarkar, Stephen M Schueller and 3 more

Abstract read
In one paragraph

Article in Frontiers in public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Bayesian Models for N-of-1 Trials.Harvard data science review · 2022
    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

13 authors.

Richard L KravitzDivision of General Medicine, UC Davis Health, Sacramento, CA, United States.
Adrian AguileraSchool of Social Welfare, University of California, Berkeley, Berkeley, CA, United States.
Elaine J ChenWNYC Public Radio, New York, NY, United States.
Yong K ChoiBetty Irene Moore School of Nursing, University of California, Davis, Sacramento, CA, United States.
Eric HeklerCenter for Wireless & Population Health Systems, Qualcomm Institute, Department of Family Medicine & Public Health, Design Lab, University of California, San Diego, San Diego, CA, United States.
Chris KarrAudacious Software, Inc., Chicago, IL, United States.
Katherine K KimBetty Irene Moore School of Nursing, University of California, Davis, Sacramento, CA, United States.
Sayali PhatakCollege of Health Solutions, Arizona State University, Tempe, AZ, United States.
Sayantani SarkarBetty Irene Moore School of Nursing, University of California, Davis, Sacramento, CA, United States.
Stephen M SchuellerDepartment of Psychological Science, University of California, Irvine, Irvine, CA, United States.
Ida SimDepartment of Medicine, University of California, San Francisco, San Francisco, CA, United States.
Jiabei YangDepartment of Biostatistics and Center for Evidence Synthesis in Health, School of Public Health, Brown University, Providence, RI, United States.
Christopher H SchmidDepartment of Biostatistics and Center for Evidence Synthesis in Health, School of Public Health, Brown University, Providence, RI, United States.

Funding

UC Davis Clinical and Translational Science CenterUL1TR001860 · NCATS · UNIVERSITY OF CALIFORNIA AT DAVIS · PI KENYON, NICHOLAS J., LYLES, COURTNEY REES · 2016 to 2025
$47.3M
NCATS NIH HHS UL1 TR001860
6 · The paper itself

Abstract

Although group-level evidence supports the use of behavioral interventions to enhance cognitive and emotional well-being, different interventions may be more acceptable or effective for different people. N-of-1 trials are single-patient crossover trials designed to estimate treatment effectiveness in a single patient. We designed a mobile health (mHealth) supported N-of-1 trial platform permitting US adult volunteers to conduct their own 30-day self-experiments testing a behavioral intervention of their choice (deep breathing/meditation, gratitude journaling, physical activity, or helpful acts) on daily measurements of stress, focus, and happiness. We assessed uptake of the study, perceived usability of the N-of-1 trial system, and influence of results (both reported and perceived) on enthusiasm for the chosen intervention (defined as perceived helpfulness of the chosen intervention and intent to continue performing the intervention in the future). Following a social media and public radio campaign, 447 adults enrolled in the study and 259 completed the post-study survey. Most were highly educated. Perceived system usability was high (mean scale score 4.35/5.0, SD 0.57). Enthusiasm for the chosen intervention was greater among those with higher pre-study expectations that the activity would be beneficial for them (

Indexed as

CognitionMental HealthTelemedicineText MessagingAdultCross-Over StudiesFeasibility StudiesFemaleHumansSingle-Case Studies as TopicVolunteersbehavioral healthdigital healthmobile healthN-of-1 trialpsychological well-beingsingle patient trial

Identifiers

PMID32695740
PMCPMC7336867

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.