ArticleNursing open2021
Psychometric testing of the hemodialysis self-management instrument (HDSMI-18): A confirmatory factor analysis.
Article in Nursing open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Factors associated with self-advocacy among patients receiving maintenance hemodialysis: a multicenter cross-sectional study using latent profile and network analysis.BMC nephrology · 2026Article
- Psychometric Properties of the Treatment Adherence Questionnaire in Hemodialysis Patients: A Cross-Sectional Study Using Social Cognitive Theory.Health science reports · 2026Article
- Adapting Beyond the Machine: A Roy Adaptation Model-Guided KTH Nursing Pathway and Real-World Outcomes in Maintenance Hemodialysis: A Propensity Score-Matched Cohort Study.Patient preference and adherence · 2026Article
- Adaptation of the hemodialysis self-management scale into Turkish culture: a psychometric study.Journal of artificial organs : the official journal of the Japanese Society for Artificial Organs · 2025Article
- Analysis of Nursing Effect of Comprehensive Nursing Intervention on Hemodialysis Patients with Uremia.Contrast media & molecular imaging · 2022Article
- Psychometric testing of the hemodialysis self-management instrument (HDSMI-18): A confirmatory factor analysis.Nursing open · 2021Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
aimThe aim of this study was to probe the rigorousness of the factor structure of the HDSMI and to test the instrument's construct validity.
designCross-sectional study.
methodsThe hemodialysis unit of four hospitals in Taiwan provided data from 628 patients with end-stage renal disease (ESRD), through the period of September to December in 2012. The patients were divided into a calibration sample for CFA and model modification, and a validation sample for cross-validation of the postmodification model. Goodness of fit was tested with standard fit indices.
resultsThe four latent variables (i.e. partnership, self-care, problem-solving and emotional management) were verified as dimensions of HDSMI through CFA. The construct validity of the HDSMI was improved by omitting two items, allowing one inter-item correlation and transferring the loading of one item. These modifications improved fit indices of the calibration sample. Cross-validation of the validation sample verified the construct validity of the modified HDSMI-18.
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