The University of Southampton
University of Southampton Institutional Repository

Remote sampling of biomarkers of inflammation with linked patient generated health data in patients with rheumatic and musculoskeletal diseases: an ecological momentary assessment feasibility study

Remote sampling of biomarkers of inflammation with linked patient generated health data in patients with rheumatic and musculoskeletal diseases: an ecological momentary assessment feasibility study
Remote sampling of biomarkers of inflammation with linked patient generated health data in patients with rheumatic and musculoskeletal diseases: an ecological momentary assessment feasibility study
Background: people with rheumatic diseases experience troublesome fluctuations in fatigue. Debated causes include pain, mood and inflammation. To determine the relationships between these potential causes, serial assessments are required but are methodologically challenging. This mobile health (mHealth) study explored the viability of using a smartphone app to collect patient-reported symptoms with contemporaneous Dried Blood Spot Sampling (DBSS) for inflammation.

Methods: over 30 days, thirty-eight participants (12 RA, 13 OA, and 13 FM) used uMotif, a smartphone app, to report fatigue, pain and mood, on 5-point ordinal scales, twice daily. Daily DBSS, from which C-reactive Protein (CRP) values were extracted, were completed on days 1–7, 14 and 30. Participant engagement was determined based on frequency of data entry and ability to calculate within- and between-day symptom changes. DBSS feasibility and engagement was determined based on the proportion of samples returned and usable for extraction, and the number of days between which between-day changes in CRP which could be calculated (days 1–7).

Results: fatigue was reported at least once on 1085/1140 days (95.2%). Approximately 65% of within- and between-day fatigue changes could be calculated. Rates were similar for pain and mood. A total of 287/342 (83.9%) DBSS, were returned, and all samples were viable for CRP extraction. Fatigue, pain and mood varied considerably, but clinically meaningful (≥ 5 mg/L) CRP changes were uncommon.

Conclusions: embedding DBSS in mHealth studies will enable researchers to obtain serial symptom assessments with matched biological samples. This provides exciting opportunities to address hitherto unanswerable questions, such as elucidating the mechanisms of fatigue fluctuations.
1471-2474
Druce, Katie L.
02f51c2c-e166-4a3a-a059-34f4629652f1
Gibson, David S.
1da1d979-ffa2-48b8-9e78-7c98bc20f3a6
McEleney, Kevin
195cae6a-65a9-47e7-a682-0ac16eba88c4
Yimer, Belay B.
58d2b62f-6d29-4e30-978a-f82569f57250
Meleck, Stephanie
1ff7cf0e-50f8-400e-b14e-61114df397fd
James, Ben
39959d36-edb2-420c-81bf-25992c9fcccc
Hellman, Bruce
7698856e-d6a5-46a1-8a28-10ab28f2764b
Dixon, William G.
5dddafc1-ae5f-466e-8517-8369ee750cbc
McBeth, John
98012716-66ba-480b-9e43-ac53b51dce61
Druce, Katie L.
02f51c2c-e166-4a3a-a059-34f4629652f1
Gibson, David S.
1da1d979-ffa2-48b8-9e78-7c98bc20f3a6
McEleney, Kevin
195cae6a-65a9-47e7-a682-0ac16eba88c4
Yimer, Belay B.
58d2b62f-6d29-4e30-978a-f82569f57250
Meleck, Stephanie
1ff7cf0e-50f8-400e-b14e-61114df397fd
James, Ben
39959d36-edb2-420c-81bf-25992c9fcccc
Hellman, Bruce
7698856e-d6a5-46a1-8a28-10ab28f2764b
Dixon, William G.
5dddafc1-ae5f-466e-8517-8369ee750cbc
McBeth, John
98012716-66ba-480b-9e43-ac53b51dce61

Druce, Katie L., Gibson, David S., McEleney, Kevin, Yimer, Belay B., Meleck, Stephanie, James, Ben, Hellman, Bruce, Dixon, William G. and McBeth, John (2022) Remote sampling of biomarkers of inflammation with linked patient generated health data in patients with rheumatic and musculoskeletal diseases: an ecological momentary assessment feasibility study. BMC Musculoskeletal Disorders, 23 (770). (doi:10.1186/s12891-022-05723-w).

Record type: Article

Abstract

Background: people with rheumatic diseases experience troublesome fluctuations in fatigue. Debated causes include pain, mood and inflammation. To determine the relationships between these potential causes, serial assessments are required but are methodologically challenging. This mobile health (mHealth) study explored the viability of using a smartphone app to collect patient-reported symptoms with contemporaneous Dried Blood Spot Sampling (DBSS) for inflammation.

Methods: over 30 days, thirty-eight participants (12 RA, 13 OA, and 13 FM) used uMotif, a smartphone app, to report fatigue, pain and mood, on 5-point ordinal scales, twice daily. Daily DBSS, from which C-reactive Protein (CRP) values were extracted, were completed on days 1–7, 14 and 30. Participant engagement was determined based on frequency of data entry and ability to calculate within- and between-day symptom changes. DBSS feasibility and engagement was determined based on the proportion of samples returned and usable for extraction, and the number of days between which between-day changes in CRP which could be calculated (days 1–7).

Results: fatigue was reported at least once on 1085/1140 days (95.2%). Approximately 65% of within- and between-day fatigue changes could be calculated. Rates were similar for pain and mood. A total of 287/342 (83.9%) DBSS, were returned, and all samples were viable for CRP extraction. Fatigue, pain and mood varied considerably, but clinically meaningful (≥ 5 mg/L) CRP changes were uncommon.

Conclusions: embedding DBSS in mHealth studies will enable researchers to obtain serial symptom assessments with matched biological samples. This provides exciting opportunities to address hitherto unanswerable questions, such as elucidating the mechanisms of fatigue fluctuations.

Text
s12891-022-05723-w - Version of Record
Available under License Creative Commons Attribution.
Download (1MB)

More information

Accepted/In Press date: 21 April 2021
Published date: 13 August 2022

Identifiers

Local EPrints ID: 491121
URI: http://eprints.soton.ac.uk/id/eprint/491121
ISSN: 1471-2474
PURE UUID: f43e2051-410d-438c-b4db-0b7f53246c6c
ORCID for John McBeth: ORCID iD orcid.org/0000-0001-7047-2183

Catalogue record

Date deposited: 13 Jun 2024 16:31
Last modified: 14 Jun 2024 02:11

Export record

Altmetrics

Contributors

Author: Katie L. Druce
Author: David S. Gibson
Author: Kevin McEleney
Author: Belay B. Yimer
Author: Stephanie Meleck
Author: Ben James
Author: Bruce Hellman
Author: William G. Dixon
Author: John McBeth ORCID iD

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×