Abstract
Background
Atrial fibrillation (AF) is associated with a significant clinical and psychosocial burden. It requires adequate informational, emotional, and functional support in addition to evidence-based treatment. Existing social support measures are largely generic and do not address the specific needs of AF care.
Aim
To develop and psychometrically validate the Social Support for Patients with Atrial Fibrillation Instrument (SSAFI).
Methods
A methodological, cross-sectional validation study was conducted among 265 adults with AF in Finland. Data were collected using an online survey. Item characteristics were examined using descriptive statistics and correlation analyses. Exploratory factor analysis (EFA) was applied to examine empirical clustering patterns, followed by confirmatory factor analysis (CFA) to test a theoretically derived hierarchical model. Model fit, internal consistency, and construct validity were evaluated using established psychometric criteria.
Results
EFA suggested source-influenced clustering, whereas CFA supported a hierarchical model with informational, emotional, and functional support domains, showing acceptable fit (χ2/df = 2.29; CFI = 0.936; TLI = 0.926; IFI = 0.937; RMSEA = 0.077). Standardized loadings ranged from 0.301 to 0.864 with weaker loadings interpreted cautiously according to the predefined retention criterion, second-order loadings were strong (λ = 0.928–0.963), and reliability and validity indices supported the multidimensional structure.
Conclusions
The SSAFI demonstrated satisfactory psychometric properties and provides a disease-specific tool for assessing perceived informational, emotional, and functional support. At the group and service levels, the instrument may provide nursing services and healthcare systems with a structured means to identify perceived gaps in patient education and support, informing the development of nurse-led AF care pathways.
Atrial fibrillation (AF) is associated with a significant clinical and psychosocial burden. It requires adequate informational, emotional, and functional support in addition to evidence-based treatment. Existing social support measures are largely generic and do not address the specific needs of AF care.
Aim
To develop and psychometrically validate the Social Support for Patients with Atrial Fibrillation Instrument (SSAFI).
Methods
A methodological, cross-sectional validation study was conducted among 265 adults with AF in Finland. Data were collected using an online survey. Item characteristics were examined using descriptive statistics and correlation analyses. Exploratory factor analysis (EFA) was applied to examine empirical clustering patterns, followed by confirmatory factor analysis (CFA) to test a theoretically derived hierarchical model. Model fit, internal consistency, and construct validity were evaluated using established psychometric criteria.
Results
EFA suggested source-influenced clustering, whereas CFA supported a hierarchical model with informational, emotional, and functional support domains, showing acceptable fit (χ2/df = 2.29; CFI = 0.936; TLI = 0.926; IFI = 0.937; RMSEA = 0.077). Standardized loadings ranged from 0.301 to 0.864 with weaker loadings interpreted cautiously according to the predefined retention criterion, second-order loadings were strong (λ = 0.928–0.963), and reliability and validity indices supported the multidimensional structure.
Conclusions
The SSAFI demonstrated satisfactory psychometric properties and provides a disease-specific tool for assessing perceived informational, emotional, and functional support. At the group and service levels, the instrument may provide nursing services and healthcare systems with a structured means to identify perceived gaps in patient education and support, informing the development of nurse-led AF care pathways.
| Originalsprog | Engelsk |
|---|---|
| Artikelnummer | 152111 |
| Tidsskrift | Applied Nursing Research |
| Vol/bind | 90 |
| Antal sider | 10 |
| ISSN | 0897-1897 |
| DOI | |
| Status | Udgivet - aug. 2026 |
Emneord
- Sygdom, sundhedsvidenskab og sygepleje
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