Exploring quality of life in Italian patients with rare disease: a computer-aided content analysis of illness stories

Abstract

The present study used a narrative-based approach to identify common themes that characterized the illness experience and quality of life of patients affected by rare disease (RD). Textual data were comprised of illness stories written by 32 adult Italian patients (eight men and 24 women), with the following RD diagnoses: amyotrophic lateral sclerosis (n = 12), anorectal atresia (n = 4), Poland syndrome (n = 4), and idiopathic pulmonary hypertension (n = 12). Computer-aided content analysis was performed to detect the main themes (cluster analysis) and latent factors (correspondence analysis) emerging in patients’ narratives, and to test their association with gender and diagnosis. Four thematic domains were detected in the textual corpus, which are respectively referred to as: hopelessness (12.74%), need for autonomy (38.43%), search for normalcy (11.89%), and expectations of recovery (36.94%). Three latent factors explained the overall data variance: the relationship with social and medical healthcare providers (F1), adjustment processes to disease and social limitations (F2), and self-beliefs and coping (F3). Some differences were revealed with respect to patient gender and diagnosis. Illness stories highlight the significant relationship of RD patients with healthcare services and their need for a holistic approach because of the lack of effective treatment. Physical limitation and emotional distress do not necessarily seem to overlap for adjustment and quality of life (QoL). Overall, the perception of illness chronicity is likely to affect patients’ self-beliefs and coping with more than their feeling of abnormalcy, that is the less salient theme.

Keywords:

• rare disease
• quality of life
• content analysis
• illness stories
• narrative medicine