[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100567966":3},{"organization":4,"armGroups":7,"interventions":7,"overallOfficials":7,"centralContacts":8,"locations":7,"responsibleParty":18,"collaborators":7,"id":21,"slug":22,"hasResults":23,"nctId":24,"briefTitle":25,"officialTitle":25,"acronym":7,"eligibilityCriteria":26,"healthyVolunteers":23,"sex":27,"minAge":28,"maxAge":7,"enrollmentInfo":29,"targetDuration":32,"studyType":33,"phases":7,"briefSummary":34,"conditions":35,"keywords":37,"overallStatus":40,"whyStopped":7,"lastUpdateSubmitDate":41,"lastUpdatePostDateStruct":42,"startDateStruct":45,"completionDateStruct":47,"leadSponsor":49,"locationsCount":7},{"fullName":5,"class":6},"Shmuel Harofeh Hospital, Geriatric Medical Center","OTHER_GOV",null,[9,14],{"name":10,"role":11,"phone":12,"phoneExt":7,"email":13},"Yochai Levy","CONTACT","972502991516","yochai.levy@MOH.GOV.IL",{"name":15,"role":11,"phone":16,"phoneExt":7,"email":17},"Nadya Kagansky","972506264678","batia_nadya.kagansky@moh.gov.il",{"type":19,"investigatorFullName":10,"investigatorTitle":20,"investigatorAffiliation":5,"oldNameTitle":7,"oldOrganization":7},"PRINCIPAL_INVESTIGATOR","Hospital deputy director","100567966","mortality-risk-assessment-by-skilled-staff-compared-to-existing-validated-tools-in-skilled-nursing-departments-100567966",false,"NCT06675071","Mortality Risk Assessment by Skilled Staff Compared to Existing Validated Tools in Skilled Nursing Departments","Inclusion Criteria: Patients admitted to skilled nursing departments at Shmuel Harofeh Hospital.\n\n\\-\n\nExclusion Criteria: Patients admitted for end-of-life care\n\n\\-","ALL","65 Years",{"count":30,"type":31},300,"ESTIMATED","1 Year","OBSERVATIONAL","Mortality Risk Assessment by Skilled Caregivers Compared to Existing Validated Tools in Skilled Nursing Departments at Shmuel Harofeh Geriatric Hospital\n\nBackground 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.\n\nResearch Objectives\n\n1. Assess life expectancy of patients in skilled nursing departments.\n2. Compare the effectiveness of various tools in predicting six-month mortality.\n\nHypothesis Caregiver assessments will more accurately predict mortality than current validated tools.\n\nStudy Design Type: Prospective cohort study. Location: Shmuel Harofeh Hospital\n\nStudy Population Approximately 250 patients admitted to skilled nursing departments at Shmuel Harofeh Hospital.\n\nRecruitment Period: Two years. Follow-up Period: Up to one year.\n\nMethods\n\nEpidemiological and clinical data (age, comorbidities, functional and cognitive status, lab results) will be collected. Mortality risk will be assessed using:\n\n1. Validated Tools: Including the MITCHELL scale (for patients with advanced dementia) and the POROCK scale (for institutionalized patients).\n2. 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.\n\nData Processing Data will be coded, entered into an electronic dataset, and undergo statistical analysis after collection. No interventions beyond routine care are included.\n\nEthical Considerations As an observational study without intervention, a waiver for informed consent was granted.\n\nImportance 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.",[36],"Mortality Prediction",[38,39],"older adults, long term care, Mortality Prediction","MITCHELL scale, POROCK scale","NOT_YET_RECRUITING","2024-11-04",{"date":43,"type":44},"2024-11-05","ACTUAL",{"date":46,"type":31},"2024-11-10",{"date":48,"type":31},"2028-01-01",{"name":5,"class":6}]