Evidence map›Paper›PMID 37099361›Full record

ArticleJMIR mental health2023

Reintroducing the Effortless Assessment Research System (EARS).

Monika N Lind, Lauren E Kahn, Ryann Crowley, Wyatt Reed, Geordie Wicks, Nicholas B Allen

Open access · goldAbstract read
In one paragraph

Article in JMIR mental health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
4.8field-weighted citation impact, top 4% 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

36 citing papers in PubMed, 26 citations in OpenAlex.

  1. Article
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  4. Adolescents' daily affect predicts their mobile phone use (not the other way around).Journal of research on adolescence : the official journal of the Society for Research on Adolescence · 2026
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  10. Emotion-Processing Biases and Neural Connectivity in Remitted Major Depressive Disorder among Adolescents.Clinical psychological science : a journal of the Association for Psychological Science · 2026
    Article
  11. Article
  12. Article
  13. Identifying person-level factors to guide digital mental health treatments for cancer survivors: an ecological momentary assessment study.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026
    Observational
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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

6 authors at 1 institution in 1 country.

Monika N LindCenter for Digital Mental Health, University of Oregon, Eugene, OR, United States.ORCID https://orcid.org/0000-0001-5634-2470
Lauren E KahnCenter for Digital Mental Health, University of Oregon, Eugene, OR, United States.ORCID https://orcid.org/0000-0003-2834-1977
Ryann CrowleyCenter for Digital Mental Health, University of Oregon, Eugene, OR, United States.ORCID https://orcid.org/0000-0003-0416-4582
Wyatt ReedCenter for Digital Mental Health, University of Oregon, Eugene, OR, United States.ORCID https://orcid.org/0000-0002-6921-8310
Geordie WicksCenter for Digital Mental Health, University of Oregon, Eugene, OR, United States.ORCID https://orcid.org/0000-0002-6947-6213
Nicholas B AllenCenter for Digital Mental Health, University of Oregon, Eugene, OR, United States.ORCID https://orcid.org/0000-0002-1086-6639
University of Oregon · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper reintroduces the Effortless Assessment Research System (EARS), 4 years and 10,000 participants after its initial launch. EARS is a mobile sensing tool that affords researchers the opportunity to collect naturalistic, behavioral data via participants' naturalistic smartphone use. The first section of the paper highlights improvements made to EARS via a tour of EARS's capabilities-the most important of which is the expansion of EARS to the iOS operating system. Other improvements include better keyboard integration for the collection of typed text; full control of survey design and administration for research teams; and the addition of a researcher-facing EARS dashboard, which facilitates survey design, the enrollment of participants, and the tracking of participants. The second section of the paper goes behind the scenes to describe 3 challenges faced by the EARS developers-remote participant enrollment and tracking, keeping EARS running in the background, and continuous attention and effort toward data protection-and how those challenges shaped the design of the app.

Indexed as

digital mental healthdigital phenotypingecological momentary assessmentmobile sensingpassive sensingpersonal sensing

Identifiers

PMID37099361
PMCPMC10173035
OpenAlexW4312524506

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.