BELLRICU PROJECT: Precision Medicine in Respiratory Intermediate Care Units
NCT07644637
Acute Respiratory Failure (ARF), Intermediate Respiratory Care Unit
L'Hospitalet de Llobregat, Barcelona, Spain
View Trial DetailsNCT Number: NCT06675071
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
1. Assess life expectancy of patients in skilled nursing departments. 2. 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:
1. Validated Tools: Including the MITCHELL scale (for patients with advanced dementia) and the POROCK scale (for institutionalized patients). 2. 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.
Trial opening soon.
Get Notified65 year and older
All sexes
Observational
Healthy volunteers accepted: No
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Patients admitted to skilled nursing departments at Shmuel Harofeh Hospital.
-
Exclusion criteria
Patients admitted for end-of-life care
-
Time frame: 3 years
Compare the effectiveness of various tools in predicting six-month mortality
Contact information is provided by the study sponsor or research team.
Nadya Kagansky
CONTACT
Yochai Levy
CONTACT
Shmuel Harofeh Hospital, Geriatric Medical Center
Other Gov
OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.
View the official ClinicalTrials.gov record (opens in a new tab)This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.
Published trials that share one or more normalized conditions with this study.
NCT07644637
Acute Respiratory Failure (ARF), Intermediate Respiratory Care Unit
L'Hospitalet de Llobregat, Barcelona, Spain
View Trial DetailsNCT06940856
Bronchopulmonary Dysplasia, Bronchopulmonary Dysplasia (BPD)
Istanbul, Turkey, Turkey (Türkiye)
View Trial DetailsNCT07715617
Alpha-1-antitrypsin Deficiency, Artificial Intelligence (AI)
Bron, France
View Trial DetailsNCT07345156
Discharge Follow-up Phone Calls, Heart Failure Acute
Monastir, Monastir Governorate, Tunisia
View Trial Details