Identifying trajectory clusters in XXXX survivors' supportive care needs, psychosocial difficulties, and resources from the completion of primary treatment to 8  months later.

@entity1 @entity0 @entity5 @entity458 @entity258
PURPOSE: This study aimed to chart patterns of simultaneous trajectories over 8  months in @entity0 survivors' (BCS) supportive care needs, @entity458 , social support, and posttraumatic growth. Clusters of BCS among these trajectories were identified and characterized. METHODS: Of 426 BCS study @entity1 , 277 (65  %) provided full assessments in the last week of primary @entity5 treatment and 4 and 8  months later. Latent trajectories were obtained using growth mixture modeling for @entity1 who responded to all scores for at least one time point (n   =   348). Then, classification of BCS was performed by hierarchical agglomerative clustering on axes derived from a multiple factor analysis of trajectory assignments. Self-esteem, attachment security, and satisfaction with care were assessed at baseline. RESULTS: Four trajectory clusters were identified, including two BCS subgroups (63  %) with low needs and @entity258 . Two others (37  %) exhibited high or increasing needs and concerning levels of @entity458 . These latter clusters were characterized by higher insecure attachment, lower satisfaction with care, and either lower education or younger age, and having undergone chemotherapy. CONCLUSION: More than a third of BCS present unfavorable patterns in supportive care needs over 8  months after primary @entity5 treatment. Identified @entity5 care characteristics point to targets for enhanced BCS supportive care.
