Predicting falls: considerations for screening tool selection vs. screening tool development

McKechnie, Duncan; Pryor, John H.; Fisher, Murray

doi:10.1111/jan.12977

Cited by 15 publications

(16 citation statements)

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“…Skríning rizika pádu meracím nástrojom je -vzhľadom na časovú náročnosť posudzovania rizikových faktorov pádu -efektívnou metódou na rýchlu identifikáciu rizika pádu [46]. Výberom nástroja MFS pre potreby našej štúdie sme chceli zistiť, ktoré z kľúčových rizikových faktorov pádu bude tento nástroj schopný identifikovať v skupine pacientov s neurologickým ochorením.…”

Section: Diskusiaunclassified

Risk factors of falling in patients with neurological diseases

Miertová

Bóriková

Tomagová

et al. 2018

Kontakt

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A B S T R A C TPurpose: The aim of the study was to perform a fall risk screening and to identify the risk factors for falling in hospitalized patients with neurological disease aged up to and over 65 years. Design: A quantitative prospective cross-sectional study. Methods: The sample consisted of 103 patients who were hospitalized in the neurological unit. Empirical data was recorded in the research protocol, which included selected fall risk factors and the Morse Fall Scale (MFS). Results: Significant fall predictors in patients older than 65 years were: secondary diagnosis (p = 0.000), poly-pharmacotherapy (p = 0.000), number of medications taken over 24 hours (p = 0.000), a vision disorder (p = 0.005), continence disorder (p = 0.008), female sex (p = 0.005), the use of an ambulatory aid (p = 0.008), sleep disorders (p = 0.025), and hearing disorders (p = 0.033). The mean MFS total fall risk was 45.7 ± 20.2. In the sample of patients at high risk of falling, there were significant predictors of the falls: disorders of gait and balance (p = 0.000), the use of an ambulatory aid (p = 0.000), a history of falling (p = 0.001), age (p = 0.004), poly-pharmacotherapy = 0.008), continence disorder (p = 0.019), and vision disorder (p = 0.027). Conclusion: The identification of fall risk factors is the basis for the implementation of targeted nursing interventions to prevent and reduce falls. S Ú h R N Cieľ: Realizovať skríning rizika pádu a identifikovať rizikové faktory pádu u hospitalizovaných pacientov s neurologickým ochorením vo veku do a nad 65 rokov. Dizajn: Kvantitatívna prospektívna prierezová štúdia. Metodika: Súbor tvorilo 103 pacientov hospitalizovaných na neurologickom oddelení. Empirické údaje boli zaznamenávané do výskumného protokolu, ktorý obsahoval vybrané rizikové faktory pádu a nástroj Morse Fall Scale (MFS). Výsledky: Signifikantné prediktory pádu u pacientov starších ako 65 rokov boli pridružená diagnóza (p = 0,000), polyfarmakoterapia (p = 0,000), počet užívaných liekov * Korespondenční autor: Mgr. Michaela Miertová, PhD., Jesseniova lekárska fakulta UK, Ústav ošetrovateľstva, Malá hora 5, (Print) • ISSN 1804-7122 (Online) Kľúčové slová: Neurológia hospitalizovaní pacienti Pády Riziko Skríning Morse Fall Scale O š e t ř O v a t e l s t v í Článek citujte takto: Miertová M, Bóriková I, Tomagová M, Žiaková K. Risk factors of falling in patients with neurological diseases. Kontakt 2018; 20(3): e217-e222; http://dx.

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Section: Diskusiaunclassified

Risk factors of falling in patients with neurological diseases

Miertová

Bóriková

Tomagová

et al. 2018

Kontakt

View full text Add to dashboard Cite

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“…As such, there is no one definitive approach. Perhaps a combination of methods that examine the utility and predictive validity of individual risk factors should be considered (McKechnie, Pryor, et al., ). The rigour of the SFRST has been enhanced by: (i) the development of the SFRST incorporated a combination of different research studies; (ii) the current multisite prospective cohort study examined the predictive significance and utility of risk factors; and (iii) risk factor items for inclusion in the SFRST were identified using multiple regression modelling techniques.…”

Section: Discussionmentioning

confidence: 99%

“…Improving SFRST's utility and replicability (McKechnie, Pryor, et al., ; Papaioannou et al., ), all items in the SFRST are clinically relevant and readily identifiable by clinical staff with no additional training. Patient information regarding these items is routinely collected and documented as part of a nurse's clinical practice.…”

Section: Discussionmentioning

confidence: 99%

“…Screening patients for falls risk forms part of a nurse's routine clinical practice; however, no one FRST suits all patient populations (McKechnie, Pryor, & Fisher, ). In addition, Myers (), p. 224 comments that few FRSTs have been developed “based on a rigorous research design.” There is also the real possibility that front‐line clinicians are using a locally unvalidated FRST (Healey & Scobie, ) that may not offer greater predictability than a nurse's clinical judgement (Barker, Kamar, Graco, Lawlor, & Hill, ; Latt, Loh, Ge, & Hepworth, ).…”

Section: Introductionmentioning

confidence: 99%

“…As a result, nurses should be aware of the limitations of their FRST and question the predictive validity “of an ‘off the shelf’ solution to the problem of falls” (Oliver et al., ), p. 626. Some other aspects to consider when using a FRST include (i) completion time (Ruroede, Pilkington, & Guernon, ); (ii) contextual relevance and availability of patient information required to complete a falls risk screen (Halfon, Eggli, Van Melle, & Vagnair, ; Oliver, Britton, Seed, Martin, & Hopper, ; Yauk et al., ); (iii) the number and weighting of risk factor items in the tool; and (iv) the tool's scoring system (graded vs. dichotomous) (Latt et al., ; McKechnie, Pryor, et al., ).…”

Section: Introductionmentioning

confidence: 99%

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