Mortality Risk Assessment by Skilled Staff Compared to Existing Validated Tools in Skilled Nursing Departments
试验速览
- 阶段
- 不适用
- 状态
- 尚未招募
- 发起方
- 入组人数
- 300
- 主要终点
- life expectancy of patients in skilled nursing departments
研究概览
简要总结
Mortality Risk Assessment by Skilled Caregivers Compared to Existing Validated Tools in Skilled Nursing Departments at Shmuel Harofeh Geriatric Hospital
Background The elderly population in Israel and globally is growing, increasing demand for medical services, particularly palliative care. Recommendations from 2016 emphasized the need for geriatric and skilled nursing departments to focus on end-of-life care, but implementation has been limited. High mortality and frequent readmissions are reported in long-term care, yet accurate mortality prediction tools for elderly patients remain limited. Improved mortality prediction can help identify patients who would benefit from palliative care and reduce unnecessary interventions.
Research Objectives
- Assess life expectancy of patients in skilled nursing departments.
- Compare the effectiveness of various tools in predicting six-month mortality.
Hypothesis Caregiver assessments will more accurately predict mortality than current validated tools.
Study Design Type: Prospective cohort study. Location: Shmuel Harofeh Hospital
Study Population Approximately 250 patients admitted to skilled nursing departments at Shmuel Harofeh Hospital.
Recruitment Period: Two years. Follow-up Period: Up to one year.
Methods
Epidemiological and clinical data (age, comorbidities, functional and cognitive status, lab results) will be collected. Mortality risk will be assessed using:
- Validated Tools: Including the MITCHELL scale (for patients with advanced dementia) and the POROCK scale (for institutionalized patients).
- Caregiver Assessment: Subjective life expectancy estimates by attending geriatricians and nursing staff within three days of admission and again 7-10 days later. An external geriatrician will also provide an assessment based on brief, non-invasive observation.
Data Processing Data will be coded, entered into an electronic dataset, and undergo statistical analysis after collection. No interventions beyond routine care are included.
Ethical Considerations As an observational study without intervention, a waiver for informed consent was granted.
Importance of Research Skilled nursing facilities increasingly need to provide palliative care for elderly patients. This study aims to improve mortality prediction methods, helping to identify patients for end-of-life care, ultimately enhancing care quality, and reducing costs by avoiding unnecessary hospitalizations and treatments.
研究设计
- 研究类型
- Observational
- 观察模型
- Cohort
- 时间视角
- Prospective
入排标准
- 年龄范围
- 65 Years 至 —(Older Adult)
- 性别
- All
- 接受健康志愿者
- 否
入选标准
- •Patients admitted to skilled nursing departments at Shmuel Harofeh Hospital.
排除标准
- •Patients admitted for end-of-life care
结局指标
主要结局
life expectancy of patients in skilled nursing departments
时间窗: 3 years
Compare the effectiveness of various tools in predicting six-month mortality
次要结局
未报告次要终点
研究者
Yochai Levy
Hospital deputy director
Shmuel Harofeh Hospital, Geriatric Medical Center
