Evidence map›Paper›PMID 42326773›Full record

ArticlemedRxiv : the preprint server for health sciences2026

Daily symptom monitoring is sustainable over months: retention, not compliance, is the primary barrier to long-duration digital tracking.

Chloe Z Gunsilius, Pangzhongyuan Pei, Alexios Carayannopoulos, Frederike H Petzschner

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Chloe Z GunsiliusDepartment of Cognitive and Psychological Sciences, Brown University, Providence, RI, USA.ORCID 0000-0003-0532-0903
Pangzhongyuan PeiDepartment of Cognitive and Psychological Sciences, Brown University, Providence, RI, USA.
Alexios CarayannopoulosWarren Alpert Medical School, Brown University, Providence, RI, USA.ORCID 0000-0001-5753-4810
Frederike H PetzschnerDepartment of Cognitive and Psychological Sciences, Brown University, Providence, RI, USA.ORCID 0000-0003-4108-2105

Funding

The neural basis of sequential control in human and non-human primatesP20GM103645 · NIGMS · BROWN UNIVERSITY · PI PETZSCHNER, FREDERIKE HERMI · 2013 to 2022
$22.9M
Identifying EEG Markers of Altered Interoceptive Processing in Chronic PainF30AT012306 · NCCIH · BROWN UNIVERSITY · PI ZIMMERMAN, CHLOE S · 2023 to 2024
$106k
NCCIH NIH HHS F30 AT012306NIGMS NIH HHS P20 GM103645
6 · The paper itself

Abstract

Ecological momentary assessment (EMA) enables real-time, longitudinal measurement of symptoms and behavior via smartphones, yet nearly all feasibility evidence comes from protocols lasting one to two weeks, far shorter than the timescales over which chronic diseases fluctuate and clinical decisions unfold. Whether daily compliance can be sustained over months, or whether it decays as short-protocol trends predict, is unknown. Here, 214 participants (173 with pain, 41 healthy controls) completed a 4-month (122-day) EMA protocol via the Soma smartphone app, generating 26,907 check-ins. Half the sample completed the full protocol without a two-week lapse. Aggregate compliance appeared moderate (50%), but this conflated two distinct phenomena: when recomputed over each participanťs active period, compliance rose to 71%, with 91% achieving moderate-to-high adherence, and remained stable across all 17 study weeks. Pain status predicted earlier disengagement but not lower compliance among those who remained; after adjustment for differential retention, group differences disappeared. To our knowledge, this is the longest continuous daily EMA evaluation in a clinical population. It suggests the primary barrier to long-duration EMA is not declining motivation among active participants but concentrated early disengagement, with direct implications for the design of digital health protocols, decentralized trials, and remote symptom monitoring.

Indexed as

chronic paindigital healthecological momentary assessmentexperience-sampling methodologyfeasibility studymHealthpain monitoringpatient engagementremote monitoringsmartphone application

Identifiers

PMID42326773
PMCPMC13278187

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.