Evidence map›Paper›PMID 37794909›Full record

ArticleFrontiers in psychology2023

Protocol for randomized personalized trial for stress management compared to standard of care.

Ashley M Goodwin, Danielle Miller, Stefani D'Angelo, Alexandra Perrin, Ruby Wiener, Brittney Greene, Anne-Marie N Romain, Lindsay Arader, Thevaa Chandereng, Ying Kuen Cheung and 2 more

Abstract read
In one paragraph

Article in Frontiers in psychology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–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

5 citing papers in PubMed.

  1. Article
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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

12 authors.

Ashley M GoodwinInstitute of Health System Science, Feinstein Institutes for Medical Research, Northwell Health, New York, NY, United States.
Danielle MillerInstitute of Health System Science, Feinstein Institutes for Medical Research, Northwell Health, New York, NY, United States.
Stefani D'AngeloInstitute of Health System Science, Feinstein Institutes for Medical Research, Northwell Health, New York, NY, United States.
Alexandra PerrinInstitute of Health System Science, Feinstein Institutes for Medical Research, Northwell Health, New York, NY, United States.
Ruby WienerInstitute of Health System Science, Feinstein Institutes for Medical Research, Northwell Health, New York, NY, United States.
Brittney GreeneInstitute of Health System Science, Feinstein Institutes for Medical Research, Northwell Health, New York, NY, United States.
Anne-Marie N RomainInstitute of Health System Science, Feinstein Institutes for Medical Research, Northwell Health, New York, NY, United States.
Lindsay AraderInstitute of Health System Science, Feinstein Institutes for Medical Research, Northwell Health, New York, NY, United States.
Thevaa ChanderengInstitute of Health System Science, Feinstein Institutes for Medical Research, Northwell Health, New York, NY, United States.
Ying Kuen CheungMailman School of Public Health, Columbia University, New York, NY, United States.
Karina W DavidsonInstitute of Health System Science, Feinstein Institutes for Medical Research, Northwell Health, New York, NY, United States.
Mark ButlerInstitute of Health System Science, Feinstein Institutes for Medical Research, Northwell Health, New York, NY, United States.

Funding

Re-engineering Precision Therapeutics Through N-of-1 TrialsR01LM012836 · NLM · FEINSTEIN INSTITUTE FOR MEDICAL RESEARCH · PI DAVIDSON, KARINA W. · 2017 to 2023
$7.6M
NLM NIH HHS R01 LM012836
6 · The paper itself

Abstract

Stress is a significant public health burden in the United States, with most Americans reporting unhealthy levels of stress. Stress management techniques include various evidence-based treatments shown to be effective but with heterogeneous treatment responses, indicating a lack of uniform benefits for all individuals. Designed to assess a participant's response to a specific intervention, personalized (N-of-1) trials provide guidance for which treatment (s) work (s) best for the individual. Prior studies examining the effects of mindfulness meditation, yoga, and walking for stress reduction found all three interventions to be associated with significant reductions in self-reported measures of stress. Delivering these treatments using a personalized trial approach has the potential to assist clinicians in identifying the best stress management techniques for individuals with persistently high stress while fostering treatment decisions that consider their personal condition/barriers. This trial will evaluate a personalized approach compared to standard of care for three interventions (guided mindfulness meditation; guided yoga; and guided brisk walking) to manage perceived stress. Participants will respond to daily surveys and wear a Fitbit device for 18 weeks. After a 2-week baseline period, participants in the personalized trial groups will receive 12 weeks of interventions in randomized order, while participants in the standard-of-care group will have access to all interventions for self-directed stress management. After intervention, all participants will undergo 2 weeks of observation, followed by two additional weeks of the stress management intervention of their choosing while continuing outcome measurement. At study completion, all participants will be sent a satisfaction survey. The primary analysis will compare perceived stress levels between the personalized and standard of care arms. The results of this trial will provide further support for the use of personalized designs for managing stress.

Indexed as

mindfulnessN-of-1personalized trialsphysical activitystress management techniquesyoga

Identifiers

PMID37794909
PMCPMC10546313

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.