- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT02815462
Impact of Implementing a Real Time Frequent Admitter Risk Score (FAM-FACE-SG) on Readmission Rates (FAMFACESGRCT)
Impact of Implementing a Real Time Frequent Admitter Risk Score (FAM-FACE-SG) on Readmission Rates: a Pragmatic Cluster Randomised Controlled Trial (RCT).
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).
Study Overview
Status
Conditions
Intervention / Treatment
Detailed Description
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).
The aims of this cluster RCT are to: (1) evaluate the impact of implementing the FAM-FACE-SG risk score in addition to a decision making algorithm to guide Patient Navigator (PN) referrals to various transitional care services based on needs assessment on nursing and function on improving healthcare utilization (hospital readmissions, emergency department (ED) attendances, length of stay up to 90 days post-discharge); (2) measure the implementation of the risk score (Fidelity of the PNs in adhering to the protocol in recruiting patients according the score priority; Referral rate of the PNs to various transitional care services; Qualitative feedback from PNs on the perceived benefits and behavior change after receiving the scores); (3) conduct an economic analysis of the cost-benefit of implementing the risk score.
Study Type
Phase
- Not Applicable
Contacts and Locations
Study Contact
- Name: Lian Leng Low
- Phone Number: 91051097
- Email: low.lian.leng@singhealth.com.sg
Study Contact Backup
- Name: Kheng Hock Lee
- Phone Number: 9191 9434
- Email: lee.kheng.hock@singhealth.com.sg
Study Locations
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Singapore, Singapore, 486838
- Singapore General Hospital
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Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Description
Inclusion Criteria:
- Singapore General Hospital wards with patient navigators
- Patients who are frequent admitters (defined as 3 or more hospital admissions in the preceding 12 months)
Exclusion Criteria:
- Haematology, Oncology, Emergency department, obstetrics and neonatology wards
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Health Services Research
- Allocation: Randomized
- Interventional Model: Parallel Assignment
- Masking: None (Open Label)
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
---|---|
Active Comparator: Control
Usual Care
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- Usual hospital Care
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Experimental: Intervention
FAM-FACE-SG risk score + decision making algorithm
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- PNs will receive the FAM-FACE-SG FA risk scores for frequent admitters admitted to their ward.
- PNs will be instructed to prioritize intervention of frequent admitters for intervention based on the FA risk score.
- For low risk patients, PNs will continue usual hospital care.
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What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Time Frame |
---|---|
90-day readmission rate
Time Frame: 90 days
|
90 days
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Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
30-day readmission rate
Time Frame: 30 days
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30 days
|
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30-day ED attendance rate
Time Frame: 30 days
|
30 days
|
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90-day ED attendance rate
Time Frame: 90 days
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90 days
|
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index hospital admission length of stay
Time Frame: 90 days
|
90 days
|
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cumulative length of stay 90 days after index hospital discharge
Time Frame: 90 days
|
90 days
|
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Fidelity of the PNs in following the protocol in recruiting patients according the score priority
Time Frame: 90 days
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90 days
|
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Proportion of high and medium risk patients recruited in both intervention and control groups
Time Frame: 90 days
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90 days
|
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Referral rate of the PNs to various transitional care services
Time Frame: 90 days
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90 days
|
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Qualitative feedback from PNs on the perceived benefits and behaviour change after receiving the scores
Time Frame: 1 year
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Questionnaire survey
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1 year
|
Collaborators and Investigators
Sponsor
Publications and helpful links
General Publications
- 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.
- Jencks 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. Erratum In: N Engl J Med. 2011 Apr 21;364(16):1582.
- Robst 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.
- Longman 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.
- Low 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.
Study record dates
Study Major Dates
Study Start
Primary Completion (Anticipated)
Study Completion (Anticipated)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Estimate)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Other Study ID Numbers
- SGH_OIC_FAMFACESG/5/2016
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
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