Latent Profile Analysis of Dyadic Decision Self-Efficacy Among Stroke Patients and Their Caregivers

To explore the latent categories and influencing factors of dyadic decision self-efficacy among stroke patients and their caregivers.

A cross-sectional survey involving 305 patient-caregiver pairs was conducted using standardised questionnaires. Latent profile analysis was used to identify dyadic self-efficacy categories and multinomial logistic regression was employed to analyse influencing factors.

The dyadic decision self-efficacy of stroke patients and their caregivers was classified into three categories: low common decision self-efficacy group (35.6%), patients' high decision self-efficacy and caregivers' moderate decision self-efficacy group (38.6%), and high common decision self-efficacy group (25.8%). Influencing factors included patients' education level, income and health literacy, as well as caregivers' education, caregiving duration and social support.

The levels of dyadic decision self-efficacy among stroke patients and their caregivers are heterogeneous. Clinicians can develop targeted interventions involving both patients and caregivers, based on the population's characteristics and influencing factors, to improve their dyadic decision self-efficacy.

This study was conducted and reported in accordance with the STROBE (Strengthening the Reporting of Observational Studies in Epidemiology) guidelines.