Literature DB >> 25287867

Systematic review of fall risk screening tools for older patients in acute hospitals.

Maria Matarese1, Dhurata Ivziku2, Francesco Bartolozzi3, Michela Piredda1, Maria Grazia De Marinis1.   

Abstract

AIMS: To determine the most accurate fall risk screening tools for predicting falls among patients aged 65 years or older admitted to acute care hospitals.
BACKGROUND: Falls represent a serious problem in older inpatients due to the potential physical, social, psychological and economic consequences. Older inpatients present with risk factors associated with age-related physiological and psychological changes as well as multiple morbidities. Thus, fall risk screening tools for older adults should include these specific risk factors. There are no published recommendations addressing what tools are appropriate for older hospitalized adults.
DESIGN: Systematic review. DATA SOURCES: MEDLINE, CINAHL and Cochrane electronic databases were searched between January 1981-April 2013. Only prospective validation studies reporting sensitivity and specificity values were included. REVIEW
METHODS: Recommendations of the Cochrane Handbook of Diagnostic Test Accuracy Reviews have been followed.
RESULTS: Three fall risk assessment tools were evaluated in seven articles. Due to the limited number of studies, meta-analysis was carried out only for the STRATIFY and Hendrich Fall Risk Model II. In the combined analysis, the Hendrich Fall Risk Model II demonstrated higher sensitivity than STRATIFY, while the STRATIFY showed higher specificity. In both tools, the Youden index showed low prognostic accuracy.
CONCLUSION: The identified tools do not demonstrate predictive values as high as needed for identifying older inpatients at risk for falls. For this reason, no tool can be recommended for fall detection. More research is needed to evaluate fall risk screening tools for older inpatients.
© 2014 John Wiley & Sons Ltd.

Entities:  

Keywords:  accidental falls; aged; hospital; nursing; patients; risk assessment; systematic review

Mesh:

Year:  2014        PMID: 25287867     DOI: 10.1111/jan.12542

Source DB:  PubMed          Journal:  J Adv Nurs        ISSN: 0309-2402            Impact factor:   3.187


  22 in total

1.  Falls Risk Prediction for Older Inpatients in Acute Care Medical Wards: Is There an Interest to Combine an Early Nurse Assessment and the Artificial Neural Network Analysis?

Authors:  O Beauchet; F Noublanche; R Simon; H Sekhon; J Chabot; E J Levinoff; A Kabeshova; C P Launay
Journal:  J Nutr Health Aging       Date:  2018       Impact factor: 4.075

Review 2.  Preventing Falls in Hospitalized Patients: State of the Science.

Authors:  Jennifer H LeLaurin; Ronald I Shorr
Journal:  Clin Geriatr Med       Date:  2019-03-01       Impact factor: 3.076

3.  Falls in oldest-old adults hospitalized in acute geriatric ward.

Authors:  Gal Oren; Svetlana Jolkovsky; Sari Tal
Journal:  Eur Geriatr Med       Date:  2022-07-01       Impact factor: 3.269

4.  Fall Risk and Outcomes Among Patients Hospitalized With Cardiovascular Disease in the Community.

Authors:  Sheila M Manemann; Alanna M Chamberlain; Cynthia M Boyd; Donna M Miller; Kimberly L Poe; Andrea Cheville; Susan A Weston; Ellen E Koepsell; Ruoxiang Jiang; Véronique L Roger
Journal:  Circ Cardiovasc Qual Outcomes       Date:  2018-08

5.  Fall prevention: is the STRATIFY tool the right instrument in Italian Hospital inpatient? A retrospective observational study.

Authors:  Greta Castellini; Antonia Demarchi; Monica Lanzoni; Silvana Castaldi
Journal:  BMC Health Serv Res       Date:  2017-09-15       Impact factor: 2.655

6.  Gait speed and one-leg standing time each add to the predictive ability of FRAX.

Authors:  H Lundin; M Sääf; L-E Strender; S Nyren; S-E Johansson; H Salminen
Journal:  Osteoporos Int       Date:  2016-11-14       Impact factor: 4.507

7.  Feasibility and predictive performance of the Hendrich Fall Risk Model II in a rehabilitation department: a prospective study.

Authors:  Isabella Campanini; Stefano Mastrangelo; Annalisa Bargellini; Agnese Bassoli; Gabriele Bosi; Francesco Lombardi; Stefano Tolomelli; Mirco Lusuardi; Andrea Merlo
Journal:  BMC Health Serv Res       Date:  2018-01-11       Impact factor: 2.655

8.  Evaluation of Reliability and Validity of the Hendrich II Fall Risk Model in a Chinese Hospital Population.

Authors:  Congcong Zhang; Xinjuan Wu; Songbai Lin; Zhaoxia Jia; Jing Cao
Journal:  PLoS One       Date:  2015-11-06       Impact factor: 3.240

9.  Geriatric falls in the context of a hospital fall prevention program: delirium, low body mass index, and other risk factors.

Authors:  Katarzyna Mazur; Krzysztof Wilczyński; Jan Szewieczek
Journal:  Clin Interv Aging       Date:  2016-09-14       Impact factor: 4.458

10.  Validation and reliability of Falls Risk for Hospitalized Older People (FRHOP): Taiwan version.

Authors:  Yaw-Wen Chang; Ying-Hsue Chang; Yu-Ling Pan; Tung-Wei Kao; Senyeong Kao
Journal:  Medicine (Baltimore)       Date:  2017-08       Impact factor: 1.889

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