Stroke disease-specific quality of life trajectories after rehabilitation discharge and their sociodemographic and clinical associations: A longitudinal, multicentre study

Aim: To investigate the longitudinal growth trajectories of disease-specific quality of life (QoL) dimensions and their associations over 1 year. Design: A longitudinal design. Data were collected between February 2015-May 2017. Methods: Four hundred and fifteen stroke survivors (mean age 70.6 years; 81% ischaemic stroke) were recruited after discharge from rehabilitation hospitals and were followed up every 3 months for 1 year. Changes in Stroke Impact Scale (SIS) dimension scores were evaluated using hierarchical linear models (HLMs) and linear, logarithmic, quadratic, and cubic time slope. Results: We observed a significant linear and quadratic increase in most SIS dimensions from the baseline to 12-month follow-up, especially in physical dimensions. The communication dimension was stable over time, while the memory dimension increased only linearly. Higher physical dimension scores were significantly associated with lower age, hypercholesterolaemia, and better physical functioning at baseline, while higher communication was associated with lower age, better physical functioning, and a diagnosis of peripheral vascular disease. Better memory was associated with lower age, married status, better physical functioning, and left-hemisphere stroke. Better participation was associated with lower age and better physical functioning. No significant associations were observed for emotion. Conclusions: This study provides important information about the trajectories of stroke survivors' specific QoL and their associated variables. Impact: Stroke has a great impact on stroke survivors' QoL. Disease-specific QoL significantly increases from the baseline to 12-month follow-up, especially in physical dimensions. Lower age, hypercholesterolaemia, better physical functioning, and diagnosis of peripheral vascular disease seem to be associated with better QoL. Through the analyses of associated variables, we identified stroke survivors who are more at risk and who need more tailored interventions to improve their physical, psychological, emotional, and social dimensions.