Evidence map›Paper›PMID 41406180›Full record

ArticlePloS one2025

Patterns of symptom deterioration can support multimorbidity management in COPD: Perspectives of patients and healthcare professionals.

Sanne H B van Dijk, Marjolein G J Brusse-Keizer, Bente Rodenburg, Anke Lenferink

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Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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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

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4 · The record

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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

4 authors.

Sanne H B van DijkHealth Technology & Services Research, Technical Medical Center, University of Twente, Enschede, The Netherlands.ORCID https://orcid.org/0000-0003-1727-0608
Marjolein G J Brusse-KeizerHealth Technology & Services Research, Technical Medical Center, University of Twente, Enschede, The Netherlands.
Bente RodenburgDepartment of Pulmonary Medicine, Medisch Spectrum Twente, Enschede, The Netherlands.
Anke LenferinkHealth Technology & Services Research, Technical Medical Center, University of Twente, Enschede, The Netherlands.ORCID https://orcid.org/0000-0002-2276-5691

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionComorbidities significantly complicate COPD management. Remote monitoring could aid real-time disease and symptom management, assisting both patients with multimorbidity and healthcare professionals (HCPs). This study aimed to explore how insight in patterns of symptom deterioration, derived from remote monitoring, could enhance multimorbid COPD management as perceived by patients and HCPs.

methodsUsing daily symptom data collected via a mobile diary in the prospective RE-SAMPLE cohort study, patterns of symptom deterioration of COPD, chronic heart failure, anxiety, and depression were visualized per patient (follow-up duration of ≥4 months). Semi-structured individual interviews were conducted with Dutch patients with COPD and ≥1 comorbidity, and with HCPs from pulmonology, cardiology, and medical psychology who were involved in care for patients with multimorbidity. Interviews addressed current multimorbid COPD management, its challenges, and the way pattern visualizations of symptoms deterioration could support disease management. Transcripts were thematically analyzed using an inductive approach.

results7 patients (69-80 years, 4 men) and 7 HCPs were interviewed in the hospital (patients and HCPs), at home (patients) or online (HCPs). Three overarching themes were identified, representing the elements of multimorbid COPD management that could be supported by the pattern visualizations: 1) relationship between diseases, 2) decision-making, and 3) self-management. According to patients and HCPs, pattern visualizations can be an informative source to explain the relation between COPD and comorbidities, function as a conversation starter facilitating communication between patients and HCPs as well as between medical disciplines, and educate patients in adequately recognizing their care needs.

conclusionThree elements of personalized multimorbid COPD management were identified through qualitative analysis, which can all be supported by visualizing patterns of symptom deterioration via remote monitoring. The visualizations could enhance patients' understanding of their diseases, improve shared decision-making, improve in-hospital multidisciplinary collaboration, and support multimorbid COPD (self-)management.

Indexed as

Health PersonnelMultimorbidityPulmonary Disease, Chronic ObstructiveAgedAged, 80 and overDisease ManagementFemaleHeart FailureHumansMaleProspective Studies

Identifiers

PMID41406180
PMCPMC12711060

What Socratic holds

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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 Socratic graph.