A Pilot Fall Prevention Program Using “STRATIFY” at Triage of Emergency Department in Hong Kong
2020 FEB 06 (NewsRx) -- By a
As a matter of record, on
Tracking Information
| Trial Identifier | NCT04244344 |
| First Submitted Date | |
| First Posted Date | |
| Results First Submitted Date | Not Provided |
| Results First Posted Date | Not Provided |
| Last Update Submitted Date | |
| Last Update Posted Date | |
| Primary Completion Date | |
| Start Date | |
| Current Primary Outcome Measures | •The effectiveness score of the fall preventing intervention collected from patient and/or caregivers via questionnaires within data collection period [ Time Frame: 3 months ] -- using the survey to collect data |
| Current Secondary Outcome Measures | •The discrepancy of fall perception of patient/caregiver to STRATIFY screening tool [ Time Frame: 3 months ] -- using the survey to collect data |
| Other Outcome Measures | Not Provided |
| Change History | Complete list of historical revisions of study NCT04244344 |
Descriptive Information
| Brief Title | A Pilot Fall Prevention Program Using “STRATIFY” at Triage of |
| Official Title | A Pilot Fall Prevention Program Using “STRATIFY” at Triage of |
| Brief Summary | A fall is an event which results in a person coming to rest unwittingly on the floor or ground or other lower level. Those who have fall history have significantly more hospitalizations and clinical visits as well as emergency department visits than those who do not. Loss of confidence in walking, fear of falling, social isolation and depression can also occur in those patients. Fall is a predictor for decreased functional status and risk factor for the whole institution Approximately 30% to 40% of people aged 65 years and older who lived in the community fall each year. Multiple studies related to falls have shown a close relation between sex and age. As a result, Elderlies who are prone to falling consume more health care resources than non-fallers. STRATIFY proved to be more accurate and more frequently utilized. STRATIFY was originally derived in mixed acute/rehabilitation geriatric wards of |
| Detailed Description | Methodology: Design: Prospective two-center observational study Data collection Frequency: Cross-sectional Sampling Design: convenience sampling Sampling Tool: Assessment forms & Questionnaires Data collection Time: Subject recruitment started from 1/2020 to 3/2020. Geriatric Attendance were extracted from the Clinical Data Analysis and Reporting System (CDARS) in the period of 1/2019 to 3/2019 and 1/2020 to 3/2020 Numbers of fall cases were extracted from AIRS system. Setting: KWH A&E and PWH A&E (different cluster) Population and sample size For a 95% confidence interval with width=0.3, the expected sample size is at least 267 subjects needed to be recruited based on the rule of thumb that SD = range/4. In this study, approximately 300 subjects will be recruited (~150 from |
| Study Type | Interventional |
| Study Phase | N/A |
| Study Design | Intervention Model: Sequential Assignment |
| Primary Purpose: Prevention | |
| Masking: None (Open Label) | |
| Intervention Model Description: The subjects who meet the criteria of high fall risk using “STRATIFY’ tool will receive several fall preventions in order to prevent their fall incidence, survey will be conducted to gether their opinion about the interventions | |
| Condition | Intervention for Fall Prevention |
| Intervention | •Other: fall prevention measures |
| High fall risk signage, information sheet, High fall risk bracelet, verbal instructions | |
| Study Arms | •Experimental: interventional |
| all High fall risk subjects who meet the criteria by “STRATIFY” Tool | |
| Interventions: | |
| ⚬Other: fall prevention measures | |
| Publications* | *Includes publications given by the data provider as well as publications identified by ClinicalTrials.gov Identifier (NCT Number) in Medline |
| PubMed Link - Chu LW, Chiu AY, |
|
| PubMed Link - Luk JKH, Chiu PKC, Chu LW. Factors affecting institutionalization in older Hong Kong Chinese patients after recovery from acute medical illnesses. Arch Gerontol Geriatr. 2009 Sep-Oct;49(2):e110-e114. doi: 10.1016/j.archger.2008.10.007. Epub 2008 Dec 17. | |
| PubMed Link - Phelan EA, Mahoney JE, Voit JC, Stevens JA. Assessment and management of fall risk in primary care settings. |
|
| PubMed Link - Oliver D, Papaioannou A, Giangregorio L, Thabane L, Reizgys K, Foster G. A systematic review and meta-analysis of studies using the STRATIFY tool for prediction of falls in hospital patients: how well does it work? Age Ageing. 2008 Nov;37(6):621-7. doi: 10.1093/ageing/afn203. Epub 2008 |
Recruitment Information
| Recruitment Status | Not yet recruiting |
| Estimated Enrollment | 300 |
| Estimated Completion Date | |
| Primary Completion Date | |
| Eligibility | Inclusion Criteria: |
| •Patient aged 65years old or above | |
| •Caregiver aged 18years old or above and has cared patient for at least 1month | |
| •Able to read and listen Cantonese/English | |
| •Able to consent | |
| •Triage category 3, 4, 5 | |
| •Using Hong Kong Identity Card for registration Exclusion Criteria: | |
| •Patient who has done the fall assessment using Morse Fall Scale (i.e. patient in Observation Ward in KWH and patient who admitted to EM Ward in PWH) | |
| •Caregivers of patient who has done the fall assessment using Morse Fall Scale | |
| •Unable to consent | |
| •Unable to read and listen Cantonese/English | |
| Sex/Gender | Sexes Eligible for Study: All |
| Ages | 65 years and older |
| Yes | |
| Contacts | Primary contact: Wai Yuen Mr LAU, 35053250, [email protected] |
| Listed Location Countries | |
| Removed Location Countries |
Administrative Information
| NCT Number | NCT04244344 |
| Other Study ID Numbers | Prevent Fall in AED |
| Has Data Monitoring Committee | Not Provided |
| Not Provided | |
| Plan to Share Data | Yes |
| Plan to Share Data (IPD) Description | all invertigator can access the data collected |
| LAU, |
|
| Collaborators | |
| Investigators | Not Provided |
| Information Provided By | |
| Verification Date |
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