ArticlePatient preference and adherence2025
Health Belief Clusters Among Stroke Patients: Insights for Tailored Interventions Using Latent Profile Analysis.
Article in Patient preference and adherence, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Aim: To determine the latent profiles of health beliefs for stroke patients and analyze the differences among different clusters of stroke patients. Methods: 1358 stroke patients were recruited by a stratified cluster random sampling approach in Henan Province, China, from March to April 2023. The instruments used were the general situation questionnaire, Stroke Knowledge Questionnaire, National Institute of Health Stroke Scale, modified Rankin Scale, Health Behavior Scale for Stroke Patients, and Short Form Health Belief Model Scale. Questionnaires were distributed through the Questionnaire Star Platform. The health belief clusters were determined by Mplus8.3. Pearson's chi-square test and one-way ANOVA in SPSS 26.0 were applied to examine the profiles' differences. Results: A total of 1358 questionnaires were returned, resulting in an effective response rate of 87.33%. Model fitting indicators supported the three-class model of health beliefs. Latent profile analysis identified three distinct clusters, labeled Class 1 (health belief absence cluster totally), Class 2 (self-deficiency deprivation cluster), and Class 3 (higher perception behavior disorder cluster). Total Short Form Health Belief Model Scale scores among Class 1-3 differed significantly. Single-factor analysis showed statistical significance in the modified Rankin Scale, health behavior, health knowledge, education, residence, profession, medical insurance mode, and hypertension. Conclusion: Individual heterogeneity is evident in health beliefs among stroke patients. The belief can be divided into three potential clusters. The study provides reference for the developing regular health belief and provide methodological guidance for other clinical studies. Clinicians are able to offer tailored guidance according to the different health beliefs of patients.
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.