Mental health of caregivers of children with medical complexity: group-based trajectory modelling.

Objective: To describe the mental health trajectories of caregivers of children with medical complexity (CMC) and explore child characteristics associated with below-average caregiver mental health.

Design: A secondary analysis of prospectively collected data from 123 caregivers of children aged <16 years with medical complexity from a multicentre randomised trial conducted from December 2016 to June 2021.

Main Outcome Measure: The Patient-Reported Outcomes Measurement Information System Global Mental Health Scale was used to measure caregivers' self-reported mental health well-being. Group-based trajectory analysis was used to identify clusters of caregivers with similar changes in mental health across 24 months. Logistic regression was used to identify child-related predictors of mental health among caregivers.

Results: A final model with three distinct groups was selected, corresponding to caregivers with average (n=39), moderately below-average (n=65) and severely below-average (n=19) mental health scores, all with stable trajectories and high posterior probabilities (>90%). Moderately and severely below-average caregiver mental health groups, merged into one group, were associated with a greater number of child medical technology devices (adjusted OR (aOR) 1.44, 95% CI 1.01 to 2.04), gross motor difficulties (aOR 3.51, 95% CI 1.02 to 12.05) and worse child emotional (aOR 0.93, 95% CI 0.87 to 0.99) and psychological well-being (aOR 0.93, 95% CI 0.88 to 0.99).

Conclusion: Most caregivers of CMC reported persistently below-average mental health. The intensity of caregiving, as indicated by medical technology and child functional needs, is a potential risk factor for below-average caregiver mental health. Future design and evaluation of interventions focused on support for caregivers of CMC are warranted.