Aim: To investigate the trajectory patterns and influencing factors of supportive care needs in stroke patients.
Design: A longitudinal study.
Methods: In total, 207 stroke patients who received treatment at the Department of Neurology in a hospital in Xuzhou between July 2022 and July 2023 were recruited using convenience sampling. Questionnaires including supportive care needs, hospital anxiety and depression scale, and the Barthel index were investigated at baseline and at 1, 3, and 6 months. A latent class growth model was applied to identify the supportive care needs trajectories. Multiple logistic regression was used to determine the predictors for membership. This study adheres to STROBE reporting guidelines.
Results: Three patterns of supportive care needs trajectories were identified: A high needs slow decline group (20.8%), a medium needs stable group (56.5%) and a medium needs rapid decline group (22.7%). Based on further analysis, the findings indicated that age, education level, monthly income, comorbidity, activities of daily living, anxiety and depression were associated with the trajectory categories of supportive care needs with stroke patients.
Conclusion: This study demonstrates heterogeneity in changes in supportive care needs among stroke patients. Healthcare providers need to consider these different categories of needs and develop individualized care measures based on the characteristics of different patients.
Impact: Healthcare providers should be aware of the fluctuations in care needs of stroke patients at various stages. Additionally, the study aimed to identify patients' specific needs based on their circumstances, monitor the rehabilitation process and establish a more personalized and optimized care plan through multidisciplinary collaboration. The ultimate goal was to alleviate symptomatic distress and address the long-term care needs of patients.
Patient Or Public Contribution: No patient or public contribution.
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| http://dx.doi.org/10.1111/jan.16241 | DOI Listing |
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