Evidence map›Paper›PMID 30578204›Full record

ArticleJMIR mHealth and uHealth2018

Usability of a Personal Air Pollution Monitor: Design-Feedback Iterative Cycle Study.

Glen E Duncan, Edmund Seto, Ally R Avery, Mike Oie, Graeme Carvlin, Elena Austin, Jeffry H Shirai, Jiayang He, Byron Ockerman, Igor Novosselov

Abstract read
In one paragraph

Article in JMIR mHealth and uHealth, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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

10 authors.

Glen E DuncanWashington State University, Spokane, WA, United States.ORCID http://orcid.org/0000-0001-6909-1869
Edmund SetoUniversity of Washington, Seattle, WA, United States.ORCID http://orcid.org/0000-0003-4058-0313
Ally R AveryWashington State University, Everett, WA, United States.ORCID http://orcid.org/0000-0002-1294-6480
Mike OieWashington State University, Seattle, WA, United States.ORCID http://orcid.org/0000-0002-8463-0469
Graeme CarvlinUniversity of Washington, Seattle, WA, United States.ORCID http://orcid.org/0000-0001-5671-9944
Elena AustinUniversity of Washington, Seattle, WA, United States.ORCID http://orcid.org/0000-0002-4724-1042
Jeffry H ShiraiUniversity of Washington, Seattle, WA, United States.ORCID http://orcid.org/0000-0002-9864-532X
Jiayang HeUniversity of Washington, Seattle, WA, United States.ORCID http://orcid.org/0000-0002-2661-8146
Byron OckermanUniversity of Washington, Seattle, WA, United States.ORCID http://orcid.org/0000-0003-3066-9664
Igor NovosselovUniversity of Washington, Seattle, WA, United States.ORCID http://orcid.org/0000-0002-6347-7450

Funding

XENOBIOTIC BIOTRANSFORMATION AND DISPOSITIONP30ES007033 · NIEHS · UNIVERSITY OF WASHINGTON · PI ALI SHOJAIE · 1995 to 2026
$42.5M
Validation and application of portable particulate device in the UW Twin RegistryR33ES024715 · NIEHS · UNIVERSITY OF WASHINGTON · PI DUNCAN, GLEN E, SETO, EDMUND · 2017 to 2019
$1.5M
Validation and application of portable particulate device in the UW Twin RegistryR21ES024715 · NIEHS · UNIVERSITY OF WASHINGTON · PI DUNCAN, GLEN E, SETO, EDMUND · 2015 to 2016
$387k
NIEHS NIH HHS P30 ES007033NIEHS NIH HHS R21 ES024715NIEHS NIH HHS R33 ES024715
6 · The paper itself

Abstract

backgroundThere is considerable evidence that exposure to fine particulate matter (PM2.5) air pollution is associated with a variety of adverse health outcomes. However, true exposure-outcome associations are hampered by measurement issues, including compliance and exposure misclassification.

objectiveThis paper describes the use of the design-feedback iterative cycle to improve the design and usability of a new portable PM2.5 monitor for use in an epidemiologic study of personal air pollution measures.

methodsIn total, 10 adults carried on their person a prefabricated PM2.5 monitor for 1 week over 3 waves of the iterative cycle. At the end of each wave, they participated in a 30-minute moderated focus group and completed 2 validated questionnaires on usability and views on research. The topics addressed included positives and negatives of the monitor, charging and battery life, desired features, and changes to the monitor from each previous wave. They also completed a log to record device wear time each day. The log also provided space to record any issues that may have arisen with the device or for general comments during the week of collection.

resultsThe major focus group topics included device size, noise, battery and charge time, and method for carrying the device. These topics formed the basis of iterative design changes; by the final cycle, the device was reasonably smaller, quieter, held a longer charge, and was more convenient to carry. System usability scores improved systematically across each wave (median scores of 50-66 on a 100-point scale), as did median daily wear time (approximately 749-789 minutes).

conclusionsBoth qualitative and quantitative measures showed an improvement in device usability over the 3 waves. This study demonstrates how the design-feedback iterative cycle can be used to improve the usability of devices manufactured for use in large epidemiologic studies on personal air pollution exposures.

Indexed as

air pollutionmethodsparticulate mattertwins

Identifiers

PMID30578204
PMCPMC6320397

What OpenQuestion holds

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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.