Literature DB >> 20423404

Accidental falls in hospital inpatients: evaluation of sensitivity and specificity of two risk assessment tools.

Carmela Lovallo1, Stefano Rolandi, Anna Maria Rossetti, Maura Lusignani.   

Abstract

AIM: This paper is a report of a study comparing the effectiveness of two falls risk assessment tools (Conley Scale and Hendrich Risk Model) by using them simultaneously with the same sample of hospital inpatients.
BACKGROUND: Different risk assessment tools are available in literature. However, neither recent critical reviews nor international guidelines on fall prevention have identified tools that can be generalized to all categories of hospitalized patients.
METHOD: A prospective observational study was carried out in acute medical, surgical wards and rehabilitation units. From October 2007 to January 2008, 1148 patients were assessed with both instruments, subsequently noting the occurrence of falls. The sensitivity, specificity, positive and negative predictive values, and Receiver Operating Characteristics curves were calculated.
RESULTS: The number of patients correctly identified with the Conley Scale (n = 41) was higher than with the Hendrich Model (n = 27). The Conley Scale gave sensitivity and specificity values of 69.49% and 61% respectively. The Hendrich Model gave a sensitivity value of 45.76% and a specificity value of 71%. Positive and negative predictive values were comparable.
CONCLUSION: The Conley Scale is indicated for use in the medical sector, on the strength of its high sensitivity. However, since its specificity is very low, it is deemed useful to submit individual patients giving positive results to more in-depth clinical evaluation in order to decide whether preventive measures need to be taken. In surgical sectors, the low sensitivity values given by both scales suggest that further studies are warranted.

Entities:  

Mesh:

Year:  2010        PMID: 20423404     DOI: 10.1111/j.1365-2648.2009.05231.x

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


  11 in total

1.  Inpatient falls: defining the problem and identifying possible solutions. Part I: an evidence-based review.

Authors:  Ethan U Cumbler; Jennifer R Simpson; Laura D Rosenthal; David J Likosky
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2.  Preoperative patient education reduces in-hospital falls after total knee arthroplasty.

Authors:  Henry D Clarke; Vickie L Timm; Brynn R Goldberg; Steven J Hattrup
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3.  Pharmacotherapy as major risk factor of falls - analysis of 12 months experience in hospitals in South Bohemia.

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Journal:  J Appl Biomed       Date:  2019-01-17       Impact factor: 1.797

4.  Collaborative design and implementation of a clinical decision support system for automated fall-risk identification and referrals in emergency departments.

Authors:  Gwen Costa Jacobsohn; Margaret Leaf; Frank Liao; Apoorva P Maru; Collin J Engstrom; Megan E Salwei; Gerald T Pankratz; Alexis Eastman; Pascale Carayon; Douglas A Wiegmann; Joel S Galang; Maureen A Smith; Manish N Shah; Brian W Patterson
Journal:  Healthc (Amst)       Date:  2021-12-16

Review 5.  Instruments for assessing the risk of falls in acute hospitalized patients: a systematic review and meta-analysis.

Authors:  Marta Aranda-Gallardo; Jose M Morales-Asencio; Jose C Canca-Sanchez; Silvia Barrero-Sojo; Claudia Perez-Jimenez; Angeles Morales-Fernandez; Margarita Enriquez de Luna-Rodriguez; Ana B Moya-Suarez; Ana M Mora-Banderas
Journal:  BMC Health Serv Res       Date:  2013-04-02       Impact factor: 2.655

6.  Conley Scale: assessment of a fall risk prevention tool in a General Hospital.

Authors:  A S Guzzo; A Meggiolaro; A Mannocci; M Tecca; I Salomone; G La Torre
Journal:  J Prev Med Hyg       Date:  2015-08-05

7.  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

8.  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

9.  Incidence and risk of falls in patients treated for hematologic malignancies in the Intensive Hematology Unit.

Authors:  Luz Alejandra Lorca; Cinara Sacomori; Valentina Paz Balagué-Ávila; Lorena Patricia Pino-Márquez; Fabiola Andrea Quiroz-Vidal; Leslie Ortega
Journal:  Rev Lat Am Enfermagem       Date:  2019-04-29

10.  PREVALENCE, ETIOLOGY AND RISK FACTORS FOR FALLS IN NEUROLOGICAL PATIENTS ADMITTED TO THE HOSPITAL IN NORTHERN TURKEY.

Authors:  Zeliha Koç; Ayşegül Memiş; Zeynep Sağlam
Journal:  Acta Clin Croat       Date:  2020-06       Impact factor: 0.780

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