Exploring Compassionate Care Patterns Among Nurses and Its Associations With Resilience: Multilevel Contextual...

Area of Science:

• Nursing
• Healthcare Quality
• Psychology

Background:

• Compassionate care and resilience are vital for high-quality patient care.
• Understanding these factors in nurses can enhance healthcare delivery.
• Previous research highlights their importance, but patterns in specific populations require further study.

Purpose of the Study:

• To identify compassionate care patterns among Iranian nurses.
• To examine the association between resilience and compassionate care profiles.
• To explore individual and contextual factors influencing compassionate care.

Main Methods:

• A cross-sectional study involving 478 Iranian nurses from 16 hospitals.
• Utilized Persian versions of the Compassionate Care Questionnaire (CCQ) and Connor-Davidson Resilience Scale (CD-RISC).
• Employed latent profile analysis (LPA) and multilevel logistic regression.

Main Results:

• Two compassionate care profiles emerged: "Low Compassionate Care" (16.3%) and "High Compassionate Care" (83.7%).
• Higher resilience, specifically personal competence, positive acceptance, and spirituality, correlated with the "High Compassionate Care" profile.
• Ward-level factors explained a small percentage of compassionate care patterns.

Conclusions:

• The majority of Iranian nurses demonstrate high levels of compassionate care.
• Resilience is a significant positive predictor of compassionate care in nursing.
• Interventions focused on enhancing nurse resilience can improve compassionate care and overall patient quality.