Evidence map›Paper›PMID 29248628›Full record

SynthesisJournal of biomedical informatics2018

Systematic review of smartphone-based passive sensing for health and wellbeing.

Victor P Cornet, Richard J Holden

Abstract readSystematic Review
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in Journal of biomedical informatics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 172 papers, 18 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
172citing papers in PubMed, 18 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

172 citing papers in PubMed, 18 syntheses or guidelines pooled it.

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  20. A sleep promotion program for insufficient sleep among adolescents: a pilot feasibility randomized controlled trial.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2025
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112 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

2 authors.

Victor P CornetDepartment of Human Centered Computing, Indiana University School of Informatics and Computing, Indianapolis, IN, USA.
Richard J HoldenDepartment of BioHealth Informatics, Indiana University School of Informatics and Computing, Indianapolis, IN, USA; Indiana University Center for Aging Research, Regenstrief Institute, Inc., Indianapolis, IN, USA. Electronic address: rjholden@iupui.edu.

Funding

A Human Factors Approach to Support Older Chronically Ill Patients' Home CareK01AG044439 · NIA · VANDERBILT UNIVERSITY · PI HOLDEN, RICHARD J · 2014 to 2016
$359k
NIA NIH HHS K01 AG044439
6 · The paper itself

Abstract

objectiveTo review published empirical literature on the use of smartphone-based passive sensing for health and wellbeing. MATERIAL AND

methodsA systematic review of the English language literature was performed following PRISMA guidelines. Papers indexed in computing, technology, and medical databases were included if they were empirical, focused on health and/or wellbeing, involved the collection of data via smartphones, and described the utilized technology as passive or requiring minimal user interaction.

resultsThirty-five papers were included in the review. Studies were performed around the world, with samples of up to 171 (median n = 15) representing individuals with bipolar disorder, schizophrenia, depression, older adults, and the general population. The majority of studies used the Android operating system and an array of smartphone sensors, most frequently capturing accelerometry, location, audio, and usage data. Captured data were usually sent to a remote server for processing but were shared with participants in only 40% of studies. Reported benefits of passive sensing included accurately detecting changes in status, behavior change through feedback, and increased accountability in participants. Studies reported facing technical, methodological, and privacy challenges. DISCUSSION: Studies in the nascent area of smartphone-based passive sensing for health and wellbeing demonstrate promise and invite continued research and investment. Existing studies suffer from weaknesses in research design, lack of feedback and clinical integration, and inadequate attention to privacy issues. Key recommendations relate to developing passive sensing strategies matching the problem at hand, using personalized interventions, and addressing methodological and privacy challenges.

conclusionAs evolving passive sensing technology presents new possibilities for health and wellbeing, additional research must address methodological, clinical integration, and privacy issues. Doing so depends on interdisciplinary collaboration between informatics and clinical experts.

Indexed as

Health BehaviorHealth StatusMobile ApplicationsBehavior Observation TechniquesConfidentialityData AccuracyHumansMental HealthMonitoring, AmbulatorySmartphoneConsumer health information technologyMental healthMHealthMobile phonesPersonal sensingPortable sensors

Identifiers

PMID29248628
PMCPMC5793918

What Socratic holds

Textmetadata
LicenceTDM
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 Socratic graph.