The trajectory and influencing factors of disability acceptance in patients with hypertensive intracerebral haemorrhage: a protocol for prospective longitudinal cohort study in Heyuan City, China
- PMID: 38272556
- PMCID: PMC10824036
- DOI: 10.1136/bmjopen-2023-076314
The trajectory and influencing factors of disability acceptance in patients with hypertensive intracerebral haemorrhage: a protocol for prospective longitudinal cohort study in Heyuan City, China
Abstract
Introduction: China is one of the countries with the highest burden of hypertensive intracerebral haemorrhage (HICH), and its morbidity and mortality rates are almost twice the world average. Most survivors experience negative emotions such as anxiety and depression due to symptoms such as speech disorders, dysphagia, cognitive impairment, hemiplegia and ataxia. While evidence has emerged, supporting the acceptance of disability is a major factor in psychosocial adjustment of patients with disabilities. However, most relevant studies mainly focus on cross-sectional design, and the impact of disability on physical and mental health is a complex and comprehensive process, and its mechanism is still unclear. Therefore, we aimed to use the latent growth mixture model (LGMM) and the decision tree model to analyse the trajectory and predictors of disability acceptance in patients with HICH from stable hospitalisation to 2 years after discharge.
Methods and analysis: The objective of this prospective study will be to examine the 2-year trajectory of disability acceptance in a cohort of persons with HICH. 180 participants will be recruited, and baseline general data collection, disability acceptance, family caring index and self-efficacy of chronic disease will be conducted. All of them will be followed up at the stable hospitalisation period, 6 month, 1 year and 2 year after discharge using the same protocol. As a major result, disability acceptance trajectories and potential categories will be analysed using LGMM. Additionally, the independent variables with statistical significance will be included in the decision tree model, and the Classification And Regression Trees(CART) algorithm programme will be used to construct the prediction model of influencing factors of disability acceptance trajectory. The exploratory outcome will provide scientific basis for the optimal intervention time point and the formulation of rehabilitation measures for this population.
Ethics and dissemination: Ethical approval was obtained from the medical research ethics committee of Heyuan People's Hospital (YXYJLL-2022S58). The results will be disseminated nationally and internationally through the publication of research papers.
Trial registration number: ChiCTR2300071778.
Keywords: clinical trial; mental health; neurology.
© Author(s) (or their employer(s)) 2024. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.
Conflict of interest statement
Competing interests: None declared.
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