Modeling the evolution of disability acceptance after hypertensive intracerebral hemorrhage: a latent growth analysis - Scorecard - MDSpire

Modeling the evolution of disability acceptance after hypertensive intracerebral hemorrhage: a latent growth analysis

  • By

  • Zuo Lian Zhang

  • Xi Liu

  • Song Bin Huang

  • Meng Huang

  • Guo Wen Zhang

  • Man Li Wu

  • Jia Zhang

  • April 30, 2026

  • 0 min

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Clinical Scorecard: Analyzing the Progression of Disability Acceptance Following Hypertensive Intracerebral Hemorrhage: A Latent Growth Model Approach

At a Glance

CategoryDetail
ConditionHypertensive Intracerebral Hemorrhage (HICH)
Key MechanismsDisability acceptance influenced by self-efficacy and age
Target PopulationPatients aged 18 and older with primary HICH
Care SettingTertiary care hospital

Key Highlights

  • Disability acceptance evolves dynamically in the first 6 months post-discharge.
  • Self-efficacy positively correlates with disability acceptance.
  • Age influences the rate of change in disability acceptance but not the initial level.
  • Early interventions targeting self-efficacy may enhance psychological recovery.
  • Latent Growth Modeling effectively captures individual change patterns.

Guideline-Based Recommendations

Diagnosis

  • Diagnosis based on acute onset, focal neurological deficits, and CT evidence of hemorrhage.

Management

  • Follow Chinese Guidelines for the Diagnosis and Treatment of Intracerebral Hemorrhage (2019).

Monitoring & Follow-up

  • Assess disability acceptance and self-efficacy at discharge and at 1, 3, and 6 months post-discharge.

Risks

  • Consider risks of loss to follow-up and withdrawal of consent in longitudinal studies.

Patient & Prescribing Data

114 patients with primary HICH, aged 18 and older.

Focus on enhancing self-efficacy to improve disability acceptance.

Clinical Best Practices

  • Implement standardized training for assessors to minimize measurement bias.
  • Conduct follow-up assessments through structured interviews to ensure data integrity.
  • Utilize latent growth models to analyze psychological adaptation over time.

References

Original Source(s)

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