Evidence map›Paper›PMID 32128451›Full record

ArticleNPJ digital medicine2020

Indicators of retention in remote digital health studies: a cross-study evaluation of 100,000 participants.

Abhishek Pratap, Elias Chaibub Neto, Phil Snyder, Carl Stepnowsky, Noémie Elhadad, Daniel Grant, Matthew H Mohebbi, Sean Mooney, Christine Suver, John Wilbanks and 4 more

Abstract read
In one paragraph

Article in NPJ digital medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 285 papers, 8 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
285citing papers in PubMed, 8 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

285 citing papers in PubMed, 8 syntheses or guidelines pooled it.

  1. Pooled it
  2. Inequalities in Exclusively Mobile Interventions Targeting Weight-Related Behaviors: Systematic Review of Observational Studies.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2026
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  14. Patient adherence and response time in electronic patient-reported outcomes: insights from three longitudinal clinical trials.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2024
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225 more citing papers are in PubMed but not listed here.

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

14 authors.

Abhishek Pratap1Sage Bionetworks, Seattle, WA USA.ORCID 0000-0002-5289-6932
Elias Chaibub Neto1Sage Bionetworks, Seattle, WA USA.
Phil Snyder1Sage Bionetworks, Seattle, WA USA.
Carl Stepnowsky3University of California, San Diego, CA USA.
Noémie Elhadad5Columbia University, New York, NY USA.
Daniel Grant6Novartis Pharmaceutical Corporation, East Hanover, NJ USA.
Matthew H MohebbiGoodRx, Santa Monica, CA USA.
Sean Mooney2Department of Biomedical Informatics and Medical Education, University of Washington, Seattle, WA USA.
Christine Suver1Sage Bionetworks, Seattle, WA USA.
John Wilbanks1Sage Bionetworks, Seattle, WA USA.
Lara Mangravite1Sage Bionetworks, Seattle, WA USA.
Patrick J Heagerty8Department of Biostatistics, University of Washington, Seattle, WA USA.
Pat Areán9Department of Psychiatry & Behavioral Sciences, University of Washington, Seattle, WA USA.
Larsson Omberg1Sage Bionetworks, Seattle, WA USA.ORCID 0000-0002-4719-9120

Funding

Transform Dissemination and Implementation Science in CTSA ProgramsUL1TR002319 · NCATS · UNIVERSITY OF WASHINGTON · PI John K. Amory · 2017 to 2026
$100.0M
PhendoPHL:A Data-Science Enabled Personal Health Library to Manage EndometriosisR01LM013043 · NLM · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI ELHADAD, NOEMIE · 2019 to 2022
$1.4M
Can Metal Health Apps Work in the Real World? A Feasibility Pilot StudyR34MH100466 · NIMH · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI ANGUERA, JOAQUIN A, GAZZALEY, ADAM H · 2013 to 2015
$818k
NCATS NIH HHS UL1 TR002319NIMH NIH HHS R34 MH100466NLM NIH HHS R01 LM013043
6 · The paper itself

Abstract

Digital technologies such as smartphones are transforming the way scientists conduct biomedical research. Several remotely conducted studies have recruited thousands of participants over a span of a few months allowing researchers to collect real-world data at scale and at a fraction of the cost of traditional research. Unfortunately, remote studies have been hampered by substantial participant attrition, calling into question the representativeness of the collected data including generalizability of outcomes. We report the findings regarding recruitment and retention from eight remote digital health studies conducted between 2014-2019 that provided individual-level study-app usage data from more than 100,000 participants completing nearly 3.5 million remote health evaluations over cumulative participation of 850,000 days. Median participant retention across eight studies varied widely from 2-26 days (median across all studies = 5.5 days). Survival analysis revealed several factors significantly associated with increase in participant retention time, including (i) referral by a clinician to the study (increase of 40 days in median retention time); (ii) compensation for participation (increase of 22 days, 1 study); (iii) having the clinical condition of interest in the study (increase of 7 days compared with controls); and (iv) older age (increase of 4 days). Additionally, four distinct patterns of daily app usage behavior were identified by unsupervised clustering, which were also associated with participant demographics. Most studies were not able to recruit a sample that was representative of the race/ethnicity or geographical diversity of the US. Together these findings can help inform recruitment and retention strategies to enable equitable participation of populations in future digital health research.

Indexed as

Health careMedical research

Identifiers

PMID32128451
PMCPMC7026051

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.