Evidence map›Paper›PMID 28341616›Full record

ArticleJMIR mHealth and uHealth2017

Cloudy with a Chance of Pain: Engagement and Subsequent Attrition of Daily Data Entry in a Smartphone Pilot Study Tracking Weather, Disease Severity, and Physical Activity in Patients With Rheumatoid Arthritis.

Samuel Reade, Karen Spencer, Jamie C Sergeant, Matthew Sperrin, David M Schultz, John Ainsworth, Rashmi Lakshminarayana, Bruce Hellman, Ben James, John McBeth and 2 more

Abstract read
In one paragraph

Article in JMIR mHealth and uHealth, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed, 2 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

44 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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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

12 authors.

Samuel ReadeManchester Medical School, University of Manchester, Manchester, United Kingdom.ORCID http://orcid.org/0000-0002-2769-874X
Karen SpencerManchester Academic Health Science Centre, Arthritis Research UK Centre for Epidemiology, University of Manchester, Manchester, United Kingdom.ORCID http://orcid.org/0000-0003-2038-2600
Jamie C SergeantManchester Academic Health Science Centre, Arthritis Research UK Centre for Epidemiology, University of Manchester, Manchester, United Kingdom.ORCID http://orcid.org/0000-0002-9000-4413
Matthew SperrinThe Farr Institute @ Health eResearch Centre, Manchester Academic Health Science Centre, The University of Manchester, Manchester, United Kingdom.ORCID http://orcid.org/0000-0002-5351-9960
David M SchultzSchool of Earth, Atmospheric & Environmental Sciences, The University of Manchester, United Kingdom.ORCID http://orcid.org/0000-0003-1558-6975
John AinsworthNational Institute of Health Research, Manchester Musculoskeletal Biomedical Research Unit, Central Manchester NHS Foundation Trust, Manchester, United Kingdom.ORCID http://orcid.org/0000-0002-2187-9195
Rashmi LakshminarayanauMotif Limited, London, United Kingdom.ORCID http://orcid.org/0000-0001-9183-9079
Bruce HellmanuMotif Limited, London, United Kingdom.ORCID http://orcid.org/0000-0002-8015-8187
Ben JamesuMotif Limited, London, United Kingdom.ORCID http://orcid.org/0000-0003-2381-6531
John McBethManchester Academic Health Science Centre, Arthritis Research UK Centre for Epidemiology, University of Manchester, Manchester, United Kingdom.ORCID http://orcid.org/0000-0001-7047-2183
Caroline SandersManchester Academic Health Science Centre, Centre for Primary Care, The University of Manchester, Manchester, United Kingdom.ORCID http://orcid.org/0000-0002-0539-928X
William G DixonManchester Academic Health Science Centre, Arthritis Research UK Centre for Epidemiology, University of Manchester, Manchester, United Kingdom.ORCID http://orcid.org/0000-0001-5881-4857

Funding

Medical Research Council G0902272Medical Research Council MC_PC_13042Medical Research Council MC_PC_13070Medical Research Council MR/K006665/1Versus Arthritis 21225
6 · The paper itself

Abstract

backgroundThe increasing ownership of smartphones provides major opportunities for epidemiological research through self-reported and passively collected data.

objectiveThis pilot study aimed to codesign a smartphone app to assess associations between weather and joint pain in patients with rheumatoid arthritis (RA) and to study the success of daily self-reported data entry over a 60-day period and the enablers of and barriers to data collection.

methodsA patient and public involvement group (n=5) and 2 focus groups of patients with RA (n=9) supported the codesign of the app collecting self-reported symptoms. A separate "capture app" was designed to collect global positioning system (GPS) and continuous raw accelerometer data, with the GPS-linking providing local weather data. A total of 20 patients with RA were then recruited to collect daily data for 60 days, with entry and exit interviews. Of these, 17 were loaned an Android smartphone, whereas 3 used their own Android smartphones.

resultsOf the 20 patients, 6 (30%) withdrew from the study: 4 because of technical challenges and 2 for health reasons. The mean completion of daily entries was 68% over 2 months. Patients entered data at least five times per week 65% of the time. Reasons for successful engagement included a simple graphical user interface, automated reminders, visualization of data, and eagerness to contribute to this easily understood research question. The main barrier to continuing engagement was impaired battery life due to the accelerometer data capture app. For some, successful engagement required ongoing support in using the smartphones.

conclusionsThis successful pilot study has demonstrated that daily data collection using smartphones for health research is feasible and achievable with high levels of ongoing engagement over 2 months. This result opens important opportunities for large-scale longitudinal epidemiological research.

Indexed as

arthritisattritionmHealthsmartphoneweather

Identifiers

PMID28341616
PMCPMC5384994

What OpenQuestion holds

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LicenceCC BY
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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.