Evidence map›Paper›PMID 39718677›Full record

ArticleJournal of patient-reported outcomes2024

Identifying meaningful aspects of health and concepts of interest for assessment in systemic lupus erythematosus: implications for digital clinical measure development.

Paul Kamudoni, Kate Lyden, Oliver Günther, Vikas Jaitely, Thiago Dantas Araujo, Erica Spies, Josephine Park, Erik Thomas, Joy Buie, Jennifer M Blankenship and 1 more

Abstract read
In one paragraph

Article in Journal of patient-reported outcomes, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

11 authors.

Paul KamudoniClinical Measurement Sciences, The Healthcare Business of Merck KGaA, Darmstadt, Germany. paul.kamudoni@merckgroup.com.
Kate LydenVivoSense, Newport Coast, CA, USA.
Oliver GüntherClinical Measurement Sciences, The Healthcare Business of Merck KGaA, Darmstadt, Germany.
Vikas JaitelyClinical Measurement Sciences, The Healthcare Business of Merck KGaA, Darmstadt, Germany.
Thiago Dantas AraujoClinical Measurement Sciences, The Healthcare Business of Merck KGaA, Darmstadt, Germany.
Erica SpiesEMD Serono, Billerica, MA, USA.
Josephine ParkEMD Serono, Billerica, MA, USA.
Erik ThomasEMD Serono, Billerica, MA, USA.
Joy BuieLupus Foundation of America, Washington, DC, USA.
Jennifer M Blankenship *VivoSense, Newport Coast, CA, USA.
Laurent Arnaud *Department of Rheumatology, Hôpitaux Universitaires de Strasbourg, INSERM UMR-S 1109, Centre National de Référence des Maladies Auto-immunes Systémiques Rares (RESO), Strasbourg, France.

Funding

Merck Healthcare KGaA This work was supported by the healthcare business of Merck KGaA, Darmstadt, Germany (CrossRef Funder ID: 10.13039/100009945).
6 · The paper itself

Abstract

objectivesSystemic lupus erythematosus (SLE) is a chronic autoimmune disease with heterogeneous clinical manifestations which significantly impacts the daily lives of patients. Herein, we aimed to (i) investigate patients' perspectives on and experience with SLE; (ii) identify meaningful aspects of health (MAHs) and concepts of interest (COIs) in SLE that could be evaluated using digital clinical measures (DCMs); and (iii) identify target DCMs for their assessment.

methodsA mixed-methods, multistep approach was deployed for (i) exploring patients' experience with SLE through a social media listening study and focused group discussions with patients; (ii) mapping patients' experiences to define MAHs and identify COIs measurable using DCMs; (iii) selecting DCMs for the target COIs; and (iv) identifying types of wearable sensors for measuring COIs in the patients.

resultsSix MAHs related to physical behavior and sleep were identified: difficulty in ambulating, lack of energy, inability to perform activities of daily living, difficulty engaging in sustained walking, inability to perform leisure activities and exercise, and lack of restful sleep. Measurable COIs represented walking (fatigue and pain) and sleep (sleep and pain) characteristics. Five and six DCMs related to stepping behavior and sleep quality, respectively, were identified. Several wearable sensors are available to derive DCMs for physical behavior and sleep; however, patients showed a strong preference for a wrist-worn actigraphy sensor.

conclusionWe identified DCMs for physical behavior and sleep that are relevant and meaningful to patients with SLE, measurable in a real-world environment with wearable sensors, and have the potential to aid personalized patient care.

Indexed as

Activities of Daily LivingLupus Erythematosus, SystemicAdultFemaleFocus GroupsHumansMaleMiddle AgedPatient Reported Outcome MeasuresQuality of LifeSocial MediaWearable Electronic Devices

Identifiers

PMID39718677
PMCPMC11668707

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Registered trials

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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.