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Impact of Implementing a Real Time Frequent Admitter Risk Score (FAM-FACE-SG) on Readmission Rates
FAMFACESGRCT
1 other identifier
interventional
N/A
1 country
1
Brief Summary
In an earlier study using electronic health records (EHR), the investigators have identified nine factors to be significantly associated with FA risk. These nine predictors include Furosemide intravenous 40 milligrams or more; Admissions in the past one year; Medifund status; Frequent emergency department use; Anti-depressants treatment in past one year; Charlson comorbidity index; End Stage Renal Failure on dialysis; Subsidized ward stay and Geriatric patient. The investigators have combined these nine predictors into the FAM-FACE-SG score for FA risk (defined as 3 or more inpatient admissions in the following 12 months). The FAM-FACE-SG risk score has the advantage of being deployed in our hospital's enterprise data repository known as Electronic Health Intelligence System or eHINTs for short, on a real-time or near real-time basis. On a daily basis, data from multiple data sources are extracted, transformed and loaded onto the eHINTS system. The system can be programmed to run every midnight to provide risk scores the following morning for patients admitted the previous day. In this trial, the intervention is to combine the FAM-FACE-SG risk score in addition to a decision making algorithm to guide referrals to various transitional care services based on needs assessment on nursing and function. The primary objective is to evaluate the impact of our intervention in improving healthcare utilization (hospital readmissions, emergency department (ED) attendances, length of stay up to 90 days post-discharge).
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
Started Aug 2016
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
June 20, 2016
CompletedFirst Posted
Study publicly available on registry
June 28, 2016
CompletedStudy Start
First participant enrolled
August 1, 2016
CompletedPrimary Completion
Last participant's last visit for primary outcome
August 1, 2017
CompletedStudy Completion
Last participant's last visit for all outcomes
August 1, 2017
CompletedApril 28, 2023
April 1, 2023
1 year
June 20, 2016
April 26, 2023
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
90-day readmission rate
90 days
Secondary Outcomes (9)
30-day readmission rate
30 days
30-day ED attendance rate
30 days
90-day ED attendance rate
90 days
index hospital admission length of stay
90 days
cumulative length of stay 90 days after index hospital discharge
90 days
- +4 more secondary outcomes
Study Arms (2)
Intervention
EXPERIMENTALFAM-FACE-SG risk score + decision making algorithm
Control
ACTIVE COMPARATORUsual Care
Interventions
Eligibility Criteria
You may qualify if:
- Singapore General Hospital wards with patient navigators
- Patients who are frequent admitters (defined as 3 or more hospital admissions in the preceding 12 months)
You may not qualify if:
- Haematology, Oncology, Emergency department, obstetrics and neonatology wards
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Singapore General Hospital
Singapore, 486838, Singapore
Related Publications (5)
Kripalani S, Theobald CN, Anctil B, Vasilevskis EE. Reducing hospital readmission rates: current strategies and future directions. Annu Rev Med. 2014;65:471-85. doi: 10.1146/annurev-med-022613-090415. Epub 2013 Oct 21.
PMID: 24160939BACKGROUNDJencks SF, Williams MV, Coleman EA. Rehospitalizations among patients in the Medicare fee-for-service program. N Engl J Med. 2009 Apr 2;360(14):1418-28. doi: 10.1056/NEJMsa0803563.
PMID: 19339721RESULTRobst J. Developing Models to Predict Persistent High-Cost Cases in Florida Medicaid. Popul Health Manag. 2015 Dec;18(6):467-76. doi: 10.1089/pop.2014.0174. Epub 2015 Jun 23.
PMID: 26102363RESULTLongman JM, I Rolfe M, Passey MD, Heathcote KE, Ewald DP, Dunn T, Barclay LM, Morgan GG. Frequent hospital admission of older people with chronic disease: a cross-sectional survey with telephone follow-up and data linkage. BMC Health Serv Res. 2012 Oct 30;12:373. doi: 10.1186/1472-6963-12-373.
PMID: 23110342RESULTLow LL, Vasanwala FF, Ng LB, Chen C, Lee KH, Tan SY. Effectiveness of a transitional home care program in reducing acute hospital utilization: a quasi-experimental study. BMC Health Serv Res. 2015 Mar 14;15:100. doi: 10.1186/s12913-015-0750-2.
PMID: 25888830RESULT
Study Officials
- PRINCIPAL INVESTIGATOR
Lian Leng Low
Singapore General Hospital
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- NONE
- Purpose
- HEALTH SERVICES RESEARCH
- Intervention Model
- PARALLEL
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
June 20, 2016
First Posted
June 28, 2016
Study Start
August 1, 2016
Primary Completion
August 1, 2017
Study Completion
August 1, 2017
Last Updated
April 28, 2023
Record last verified: 2023-04