The use of cluster analysis to identify different burnout profiles among nurses and care assistants for older adults

Abstract

The twofold purpose of this study was to identify specific burnout patterns among nurses and care assistants for older people, and to determine whether these profiles differ according to socioprofessional variables.A sample of 279 healthcare professionals completed an online survey comprising the Maslach Burnout Inventory and socioprofessional items. Cluster analysis identified five profiles on a burnout-engagement continuum. Participants with the Engaged profile had low scores on all three burnout dimensions (p < .001), while those with the Burnout profile had high scores on all three dimensions (p < .001). Three intermediate profiles were described. The Disconnected profile was characterized by higher depersonalization (p < .001), the Overextended profile by high emotion exhaustion (p < .001), and the Ineffective profile by low personal accomplishment (p < .001). Less experienced professional caregivers were more prone to burnout in terms of depersonalization (p < .01), while more experienced professional caregivers tended to have an ineffective burnout profile (p < .01). Identifying profiles of burnout symptoms can help to develop personalized interventions.