Divesting from a Scored Hospital Fall Risk Assessment Tool (FRAT): A Cluster Randomized Non‐Inferiority Trial
Background/Objectives We investigated the impact of ceasing routine falls risk assessment tool (FRAT) completion and instead used clinical reasoning to select fall mitigation strategies. Design Two‐group, multi‐site cluster‐randomized active‐control non‐inferiority trial. Setting Hospital wards. Par...
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Published in | Journal of the American Geriatrics Society (JAGS) Vol. 69; no. 9; pp. 2598 - 2604 |
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Main Authors | , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
Hoboken, USA
John Wiley & Sons, Inc
01.09.2021
Wiley Subscription Services, Inc |
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Abstract | Background/Objectives
We investigated the impact of ceasing routine falls risk assessment tool (FRAT) completion and instead used clinical reasoning to select fall mitigation strategies.
Design
Two‐group, multi‐site cluster‐randomized active‐control non‐inferiority trial.
Setting
Hospital wards.
Participants
Adult inpatients admitted to participating hospitals (n = 10 hospitals, 123,176 bed days).
Intervention
Hospitals were randomly assigned (1:1) to a usual care control group that continued to use a historical FRAT to assign falls risk scores and accompanying mitigation strategies, or an experimental group whereby clinicians did not assign risk scores and instead used clinical reasoning to select fall mitigation strategies using a decision support list.
Measurements
The primary measure was between‐group difference in mean fall rates (falls/1000 bed days). Falls were identified from incident reports supplemented by hand searches of medical records over three consecutive months at each hospital. The incidence rate ratio (IRR) of monthly falls rates in control versus experimental hospitals was also estimated.
Results
The experimental clinical reasoning approach was non‐inferior to the usual care FRAT that assigned fall risk ratings when compared to a‐priori stakeholder derived and sensitivity non‐inferiority margins. The mean fall rates were 3.84 falls/1000 bed days for the FRAT continuing sites and 3.11 falls/1000 bed days for experimental sites. After adjusting for historical fall rates at each hospital, the IRR (95%CI) was 0.78 (0.64, 0.95), where IRR < 1.00 indicated fewer falls among the experimental group. There were 4 and 3 serious events in the control and experimental groups, respectively.
Conclusion
Replacing a FRAT scoring system with clinical reasoning did not lead to inferior fall outcomes in the short term and may even reduce fall incidence. |
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AbstractList | We investigated the impact of ceasing routine falls risk assessment tool (FRAT) completion and instead used clinical reasoning to select fall mitigation strategies.
Two-group, multi-site cluster-randomized active-control non-inferiority trial.
Hospital wards.
Adult inpatients admitted to participating hospitals (n = 10 hospitals, 123,176 bed days).
Hospitals were randomly assigned (1:1) to a usual care control group that continued to use a historical FRAT to assign falls risk scores and accompanying mitigation strategies, or an experimental group whereby clinicians did not assign risk scores and instead used clinical reasoning to select fall mitigation strategies using a decision support list.
The primary measure was between-group difference in mean fall rates (falls/1000 bed days). Falls were identified from incident reports supplemented by hand searches of medical records over three consecutive months at each hospital. The incidence rate ratio (IRR) of monthly falls rates in control versus experimental hospitals was also estimated.
The experimental clinical reasoning approach was non-inferior to the usual care FRAT that assigned fall risk ratings when compared to a-priori stakeholder derived and sensitivity non-inferiority margins. The mean fall rates were 3.84 falls/1000 bed days for the FRAT continuing sites and 3.11 falls/1000 bed days for experimental sites. After adjusting for historical fall rates at each hospital, the IRR (95%CI) was 0.78 (0.64, 0.95), where IRR < 1.00 indicated fewer falls among the experimental group. There were 4 and 3 serious events in the control and experimental groups, respectively.
Replacing a FRAT scoring system with clinical reasoning did not lead to inferior fall outcomes in the short term and may even reduce fall incidence. BACKGROUND/OBJECTIVESWe investigated the impact of ceasing routine falls risk assessment tool (FRAT) completion and instead used clinical reasoning to select fall mitigation strategies. DESIGNTwo-group, multi-site cluster-randomized active-control non-inferiority trial. SETTINGHospital wards. PARTICIPANTSAdult inpatients admitted to participating hospitals (n = 10 hospitals, 123,176 bed days). INTERVENTIONHospitals were randomly assigned (1:1) to a usual care control group that continued to use a historical FRAT to assign falls risk scores and accompanying mitigation strategies, or an experimental group whereby clinicians did not assign risk scores and instead used clinical reasoning to select fall mitigation strategies using a decision support list. MEASUREMENTSThe primary measure was between-group difference in mean fall rates (falls/1000 bed days). Falls were identified from incident reports supplemented by hand searches of medical records over three consecutive months at each hospital. The incidence rate ratio (IRR) of monthly falls rates in control versus experimental hospitals was also estimated. RESULTSThe experimental clinical reasoning approach was non-inferior to the usual care FRAT that assigned fall risk ratings when compared to a-priori stakeholder derived and sensitivity non-inferiority margins. The mean fall rates were 3.84 falls/1000 bed days for the FRAT continuing sites and 3.11 falls/1000 bed days for experimental sites. After adjusting for historical fall rates at each hospital, the IRR (95%CI) was 0.78 (0.64, 0.95), where IRR < 1.00 indicated fewer falls among the experimental group. There were 4 and 3 serious events in the control and experimental groups, respectively. CONCLUSIONReplacing a FRAT scoring system with clinical reasoning did not lead to inferior fall outcomes in the short term and may even reduce fall incidence. Background/Objectives We investigated the impact of ceasing routine falls risk assessment tool (FRAT) completion and instead used clinical reasoning to select fall mitigation strategies. Design Two‐group, multi‐site cluster‐randomized active‐control non‐inferiority trial. Setting Hospital wards. Participants Adult inpatients admitted to participating hospitals (n = 10 hospitals, 123,176 bed days). Intervention Hospitals were randomly assigned (1:1) to a usual care control group that continued to use a historical FRAT to assign falls risk scores and accompanying mitigation strategies, or an experimental group whereby clinicians did not assign risk scores and instead used clinical reasoning to select fall mitigation strategies using a decision support list. Measurements The primary measure was between‐group difference in mean fall rates (falls/1000 bed days). Falls were identified from incident reports supplemented by hand searches of medical records over three consecutive months at each hospital. The incidence rate ratio (IRR) of monthly falls rates in control versus experimental hospitals was also estimated. Results The experimental clinical reasoning approach was non‐inferior to the usual care FRAT that assigned fall risk ratings when compared to a‐priori stakeholder derived and sensitivity non‐inferiority margins. The mean fall rates were 3.84 falls/1000 bed days for the FRAT continuing sites and 3.11 falls/1000 bed days for experimental sites. After adjusting for historical fall rates at each hospital, the IRR (95%CI) was 0.78 (0.64, 0.95), where IRR < 1.00 indicated fewer falls among the experimental group. There were 4 and 3 serious events in the control and experimental groups, respectively. Conclusion Replacing a FRAT scoring system with clinical reasoning did not lead to inferior fall outcomes in the short term and may even reduce fall incidence. |
Author | Haines, Terry Cameron, Ian D. Jazayeri, Dana Mitra, Biswadev Shorr, Ronald I. Hill, Anne Marie Kiegaldie, Debra McPhail, Steven M. Jones, Cathy Morris, Meg E. |
AuthorAffiliation | 5 John Walsh Centre for Rehabilitation Research Faculty of Medicine and Health, Kolling Institute, University of Sydney St. Leonards New South Wales Australia 6 Healthscope Melbourne Victoria Australia 3 School of Primary and Allied Health Care Monash University Melbourne Victoria Australia 7 School of Public Health & Preventive Medicine Monash University Melbourne Victoria Australia 2 La Trobe Centre for Sport and Exercise Medicine Research La Trobe University Bundoora Melbourne Australia 8 Holmesglen Institute Melbourne Victoria Australia 4 School of Physiotherapy and Exercise Science Curtin University Perth Western Australia Australia 11 Australian Centre for Health Services Innovation and Centre for Healthcare Transformation School of Public Health & Social Work, Faculty of Health, Queensland University of Technology Brisbane Queensland Australia 1 Healthscope ARCH Victorian Rehabilitation Centre Glen Waverley Victoria Australia 12 Clinical Informatics Directorate Metro South Health Brisban |
AuthorAffiliation_xml | – name: 11 Australian Centre for Health Services Innovation and Centre for Healthcare Transformation School of Public Health & Social Work, Faculty of Health, Queensland University of Technology Brisbane Queensland Australia – name: 4 School of Physiotherapy and Exercise Science Curtin University Perth Western Australia Australia – name: 6 Healthscope Melbourne Victoria Australia – name: 7 School of Public Health & Preventive Medicine Monash University Melbourne Victoria Australia – name: 3 School of Primary and Allied Health Care Monash University Melbourne Victoria Australia – name: 8 Holmesglen Institute Melbourne Victoria Australia – name: 9 Eastern Clinical School Monash University Melbourne Australia – name: 10 Geriatric Research Education and Clinical Center (GRECC), Malcom Randall VAMC, Gainesville, Florida, USA and Department of Epidemiology University of Florida Gainesville Florida USA – name: 2 La Trobe Centre for Sport and Exercise Medicine Research La Trobe University Bundoora Melbourne Australia – name: 5 John Walsh Centre for Rehabilitation Research Faculty of Medicine and Health, Kolling Institute, University of Sydney St. Leonards New South Wales Australia – name: 12 Clinical Informatics Directorate Metro South Health Brisbane Queensland Australia – name: 1 Healthscope ARCH Victorian Rehabilitation Centre Glen Waverley Victoria Australia |
Author_xml | – sequence: 1 givenname: Meg E. orcidid: 0000-0002-0114-4175 surname: Morris fullname: Morris, Meg E. email: m.morris@latrobe.edu.au organization: La Trobe University – sequence: 2 givenname: Terry surname: Haines fullname: Haines, Terry organization: Monash University – sequence: 3 givenname: Anne Marie surname: Hill fullname: Hill, Anne Marie organization: Curtin University – sequence: 4 givenname: Ian D. surname: Cameron fullname: Cameron, Ian D. organization: Faculty of Medicine and Health, Kolling Institute, University of Sydney – sequence: 5 givenname: Cathy surname: Jones fullname: Jones, Cathy organization: Healthscope – sequence: 6 givenname: Dana surname: Jazayeri fullname: Jazayeri, Dana organization: La Trobe University – sequence: 7 givenname: Biswadev surname: Mitra fullname: Mitra, Biswadev organization: Monash University – sequence: 8 givenname: Debra surname: Kiegaldie fullname: Kiegaldie, Debra organization: Monash University – sequence: 9 givenname: Ronald I. surname: Shorr fullname: Shorr, Ronald I. organization: University of Florida – sequence: 10 givenname: Steven M. surname: McPhail fullname: McPhail, Steven M. organization: Metro South Health |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/33834490$$D View this record in MEDLINE/PubMed |
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CitedBy_id | crossref_primary_10_1080_10833196_2023_2272400 crossref_primary_10_1177_25160435241246344 crossref_primary_10_1371_journal_pone_0266797 crossref_primary_10_1016_j_heliyon_2024_e24937 crossref_primary_10_1111_jjns_12579 crossref_primary_10_1016_j_jamda_2023_10_034 crossref_primary_10_1159_000525727 crossref_primary_10_5694_mja2_52374 crossref_primary_10_1136_bmjqs_2023_016481 crossref_primary_10_4102_curationis_v46i1_2479 crossref_primary_10_1002_nop2_1276 crossref_primary_10_3390_ijerph20010454 crossref_primary_10_1371_journal_pone_0287537 crossref_primary_10_3390_healthcare10060995 crossref_primary_10_1093_ageing_afac077 crossref_primary_10_1093_ageing_afad244 crossref_primary_10_1002_nop2_1987 crossref_primary_10_1093_ageing_afad162 crossref_primary_10_1093_ageing_afad250 |
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Keywords | disinvestment screening education falls non-inferiority physiotherapy safety injury hospital health care quality |
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License | Attribution-NonCommercial-NoDerivs 2021 The Authors. Journal of the American Geriatrics Society published by Wiley Periodicals LLC on behalf of The American Geriatrics Society. This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made. |
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Notes | Funding information that this work is confirmatory of recent novel clinical research by Jellett et al. (2020). Jellett J, Williams C, Clayton D, Plummer V, Haines T. Falls risk score removal does not impact inpatient falls: A stepped‐wedge, cluster‐randomised trial. J Clin Nurs. 2020;29(23–24):4505–4513. We certify National Health and Medical Research Council, Grant/Award Number: 1152853 SourceType-Scholarly Journals-1 ObjectType-Feature-4 ObjectType-Undefined-1 ObjectType-News-2 content type line 23 ObjectType-Article-3 We certify that this work is confirmatory of recent novel clinical research by Jellett et al. (2020). Jellett J, Williams C, Clayton D, Plummer V, Haines T. Falls risk score removal does not impact inpatient falls: A stepped‐wedge, cluster‐randomised trial. J Clin Nurs. 2020;29(23–24):4505–4513. Funding information National Health and Medical Research Council, Grant/Award Number: 1152853 |
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We investigated the impact of ceasing routine falls risk assessment tool (FRAT) completion and instead used clinical reasoning to select... We investigated the impact of ceasing routine falls risk assessment tool (FRAT) completion and instead used clinical reasoning to select fall mitigation... Background/ObjectivesWe investigated the impact of ceasing routine falls risk assessment tool (FRAT) completion and instead used clinical reasoning to select... BACKGROUND/OBJECTIVESWe investigated the impact of ceasing routine falls risk assessment tool (FRAT) completion and instead used clinical reasoning to select... |
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SubjectTerms | Brief Report disinvestment education Falls health care Health risks hospital Hospitals injury Medical records non‐inferiority physiotherapy quality Regular Issue Content Risk assessment safety screening |
Title | Divesting from a Scored Hospital Fall Risk Assessment Tool (FRAT): A Cluster Randomized Non‐Inferiority Trial |
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