Empathy Fatigue Scale for Healthcare Professionals

Authors

Purpose

While several tools exist to measure occupational stress, such as the Professional Quality of Life Scale (ProQOL), they are often designed for general populations and lack the specificity required for high-intensity medical environments. Healthcare workers in critical care face unique, compounding stressors—including rapid life-or-death decision-making, cumulative trauma, and profound moral distress—that general instruments frequently fail to capture. The EFS-HP was developed to bridge this critical gap in the psychometric literature.

By providing a rigorously validated, context-specific measure, the EFS-HP enables researchers and hospital administrators to accurately assess the emotional burden borne by their staff. This precision is essential for developing targeted resilience training and systemic support structures. Ultimately, the scale empowers healthcare organizations to proactively manage staff well-being, reduce turnover intentions, and mitigate the downstream effects of emotional exhaustion on clinical outcomes.

Construct

empathy fatigue is conceptualized as a profound emotional drain resulting from prolonged and intense empathic connections with patients experiencing severe illness or trauma. It sits at the intersection of several established psychological frameworks, including Secondary Traumatic Stress Theory, the Burnout Model, and Empathic Distress Fatigue Theory. While burnout is heavily influenced by institutional and systemic factors like workload, empathy fatigue is distinctly rooted in the interpersonal, emotional labor of caregiving.

The EFS-HP operationalizes this construct as a unidimensional phenomenon, reflecting a holistic depletion of emotional capacity. Rather than splitting the experience into disparate sub-components, the scale captures the cumulative, generalized impact of empathic distress. This single-factor structure aligns with the theoretical understanding that continuous exposure to patient suffering creates a unified, pervasive sense of emotional exhaustion among dedicated healthcare providers.

Validity

The validation process for the EFS-HP incorporated multiple rigorous methodologies to ensure the instrument accurately measures what it claims to measure. Initial content validity was established using Lawshe's method, ensuring that the generated items were highly relevant to the clinical realities of critical care. To establish criterion validity, the researchers compared the EFS-HP against the well-established Depression Anxiety Stress Scale (DASS-21).

The results demonstrated robust convergent validity, with empathy fatigue showing significant positive correlations with depression (r = 0.485), stress (r = 0.396), and anxiety (r = 0.348). These findings are theoretically consistent, confirming that as healthcare professionals experience higher levels of empathy-related emotional exhaustion, they concurrently suffer from elevated psychological distress. This solidifies the scale's utility as a valid indicator of broader mental health vulnerabilities in clinical populations.

Convergent & Discriminant Validation Correlations

Reliability

The EFS-HP demonstrates exceptional psychometric reliability, indicating that it measures empathy fatigue with a high degree of precision and consistency. Internal consistency was evaluated using Cronbach's alpha, yielding a remarkably strong coefficient of 0.958. This value is well above the standard threshold of 0.80 for clinical instruments, suggesting that the 21 items are highly cohesive and reliably capture the single underlying construct of empathy fatigue without excessive redundancy.

Furthermore, the instrument's temporal stability was confirmed through test-retest reliability analysis. When administered to the same group of professionals over a two-week interval, the scores yielded a strong correlation of r = 0.891. This indicates that the EFS-HP is not merely capturing transient mood fluctuations, but rather a stable, enduring state of emotional exhaustion, making it a dependable tool for longitudinal tracking and intervention assessment.

Factor Analysis

To uncover the underlying structure of the EFS-HP, the researchers employed a two-step factor analytic approach. Initially, an exploratory factor analysis (EFA) was conducted, which revealed a clear unidimensional structure. This single factor accounted for a substantial 54.5% of the total variance in the data. During this phase, items that failed to meet the minimum loading threshold of 0.40 were systematically removed, refining the instrument down to its most robust 21 items.

Following the EFA, a confirmatory factor analysis (CFA) was executed on an independent sample to verify this single-factor model. The CFA results indicated an acceptable fit between the theoretical model and the observed data. Specifically, the comparative fit index (CFI) reached 0.918 and the Tucker-Lewis index (TLI) was 0.907, both exceeding the conventional 0.90 benchmark for acceptable fit. Additionally, the root mean square error of approximation (RMSEA) was 0.080, further confirming that the unidimensional structure of the EFS-HP is statistically sound and appropriate for use in critical care populations.

Instrument

Empathy Fatigue Scale for Healthcare Professionals Items

Sample

The study utilized three independent samples of healthcare professionals working in critical care settings (ICUs, EDs, NICUs) in Turkey. The Exploratory Factor Analysis (EFA) sample included 296 participants (128 female, 168 male; 60.8% physicians, 27% Nurses/midwives). The Confirmatory Factor Analysis (CFA) sample consisted of 242 participants (104 female, 138 male). A third sample of 54 healthcare professionals was used for criterion validity testing.