ArticlePeerJ2026
The association between chronic disease resource utilization and illness uncertainty in COPD patients: a latent profile analysis.
Article in PeerJ, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective: This study aimed to identify distinct patterns of chronic disease resource utilization among patients with chronic obstructive pulmonary disease (COPD) and to examine their association with illness uncertainty. Design: A cross-sectional study. Methods: This study enrolled COPD patients hospitalized in the Department of Respiratory Medicine at a tertiary hospital in Zhejiang Province, China, between April and December 2023. All participants completed a general information form, the Chronic Illness Resource Survey (CIRS), and the Mishel Uncertainty in Illness Scale (MUIS). Latent profile analysis (LPA) was conducted to identify subgroups of resource utilization patterns. Subsequently, hierarchical linear regression was employed to assess the associations between these patterns and illness uncertainty. Ethical approval was obtained from the Institutional Review Board of the Fourth Affiliated Hospital of Zhejiang University (Approval No. K2022057). Results: A total of 308 participants were included. Two latent classes of resource utilization were identified: the Suboptimal Utilization Group ( Conclusions: Distinct patterns of chronic disease resource utilization exist among COPD patients and are significantly associated with illness uncertainty. Healthcare providers should recognize these subgroups and implement targeted interventions to enhance access to disease-related support resources, thereby mitigating illness uncertainty. Implications: Understanding COPD patients' varying patterns of resource utilization enables healthcare professionals and related industries to deliver personalized, resource-based interventions tailored to individual needs, ultimately reducing illness-related uncertainty and improving disease management outcomes.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.