Comparison of the Morse Fall Scale and STRATIFY scale on the risk of falls among the elderly

DOI: 10.15343/0104-7809.202044311324

Authors

  • Josyenne Assis Rodrigues Universidade Federal de Mato Grosso do Sul (UFMS), Campo Grande, MS, Brasil.
  • Ramon Moraes Penha Universidade Federal de Mato Grosso do Sul (UFMS), Campo Grande, MS, Brasil.
  • Luciana Contrera Universidade Federal de Mato Grosso do Sul (UFMS), Campo Grande, MS, Brasil.
  • Suzi Rosa Miziara Barbosa Universidade Federal de Mato Grosso do Sul (UFMS), Campo Grande, MS, Brasil.
  • Edivania Anacleto Pinheiro Universidade Católica Dom Bosco (UCDB), do Hospital São Julião, Campo Grande, MS, Brasil.
  • Maria de Lourdes Oshiro Escola de Saúde Pública Dr. Jorge David Nasser (ESP). Campo Grande, MS, Brasil.
  • Márcia Regina Martins Alvarenga Universidade Federal de Mato Grosso do Sul (UFMS), Campo Grande, MS, Brasil.

Keywords:

Gerontology. Risk factors. Accidents due to falls. Aging. Elderly health.

Abstract

The use of risk assessment instruments with an emphasis on preventing an event and reducing damage has provided
support for the management of falls. The aim of the study was to perform a comparative analysis between the scales
that predict falls among the elderly Morse Fall Scale (MFS) and St. Thomas Risk Assessment Tool in the Falling Elderly
Inpatients (STRATIFY), in a unit of a philanthropic hospital, Campo Grande, MS, Brazil. A quantitative cross-sectional
study was carried out from February to September 2018, by nurse residents in the Multiprofessional Health Residency
Program, Campo Grande, MS. The STRATIFY and Morse Fall Scale instruments were used. The data were treated
statistically by the Kolmogorov-Smirnov, Mann-Whitney U and Kruskal-wallis tests. 31 elderly people participated in
the study. The results were heterogeneous in the comparison between the instruments, the MFS demonstrates that as
the patient obtains mobility, the risk for falls increases; while STRATIFY, when investigating risk factors directed to the
elderly, identified high levels of high risk for falls in the three assessment moments. It is concluded that the STRATIFY
instrument was significantly associated with the risk of falling and had a better discrimination in predicting falls in
hospitalized elderly than MFS.

Downloads

Download data is not yet available.

References

1. United Nations, Department of Economic and Social Affairs, Population Division. World Population Aging [Internet] 2013[cited 2018
Jul 25]. Available from: http://www.un.org/en/development/desa/population/publications/pdf/ageing/WorldPopulationAgeing2013.
2. Nascimento JS, Tavares DMS. Prevalência e fatores associados a quedas em idosos. Texto Contexto - Enferm [Internet] 2016 [acesso 10
de agosto de 2018]; 25(2): e0360015. Disponível em: http://www.scielo.br/scielo.php?pid=S0104-07072016000200312&script=sci_
arttext&tlng=en
Epub June 27, 2016. DOI: https://doi.org/10.1590/0104-07072016000360015.
3. Oliveira DM, Hammerschmidt KSA, Schoeller SD, Girondi JBR, Bertoncello KCG, Junior NFP. Instrumento para avaliação de quedas
em idosos hospitalizados (hospital IAQI): enfermeiro analisando vulnerabilidade e mobilidade. Rev Enferm UFPE on line. [Internet]
2016[acesso 18 de outubro de 2018]; 10(11):4065-74. Disponível em: https://periodicos.ufpe.br/revistas/revistaenfermagem/article/
viewFile/11491/13352. DOI:10.5205/reuol.9881-87554-1-EDSM1011201631
4. American Geriatrics Society, Britsh Geriatrics Society. Clinical practice guideline: for prevention of falls in older persons. New York:
AGS [Internet] 2010. [cited 2018 Oct 10]. Available from: http://www.alabmed.com/uploadfile/2014/0504/20140504033204923.pdf
DOI: 10.1111/j.1532-5415.2010.03234.x
5. Gasparotto LPR, Falsarella GR, Coimbra AMV. As quedas no cenário da velhice: conceitos básicos e atualidades da pesquisa
em saúde. Rev Bras Geriatr Gerontol [Internet] 2014[acesso 30 de junho de 2020];Mar;17(1): 201-209. Disponível em: http://
www.scielo.br/scielo.php?script=sci_arttext&pid=S1809-98232014000100201&lng=en. DOI: https://doi.org/10.1590/S1809-
98232014000100019.
6. Sakai AM, Rossaneis MA, Haddad MCFL, Vituri W. Risco de queda do leito de pacientes adultos e medidas de prevenção. Rev
Enferm UFPE on line. [Internet] 2016[acesso 15 de maio de 2018];10 (Supl 6): 4720-4726. Disponível em: https://periodicos.ufpe.br/
revistas/revistaenfermagem/article/viewFile/11249/12863. DOI: 10.5205/reuol.8200-71830-3-SM.1006sup2016027. Mion LC, Chandler AM, Waters TM, Dietrich MS, Kessler LA, Miller ST, et al. Is it possible to identify risks for injurious falls in
hospitalized patients? Jt Comm J Qual Patient Saf [Internet] 2012[cited 2018Jun16]; 38(9):408-13. Available from: https://www.ncbi.
nlm.nih.gov/pmc/articles/PMC3547233/
DOI: 10.1016/s1553-7250(12)38052-5.
8. Oliver D, Daly F, Martin F, Mcmurdo, M. Risk factors and risk assessment tools for falls in hospital in-patients: A systematic
review. Age Ageing [Internet] 2004[cited 2018 Jul 23];33(2):122-130. Available from: https://academic.oup.com/ageing/
article/33/2/122/39965
DOI: 10.1093/ageing/afh017
9. Chang YW, Chang YH, Pan YL, Kao TW, Kao S. Validation and reliability of Falls Risk for Hospitalized Older People (FRHOP).
Medicine [Internet] 2017[cited 2018 Jun 24];96(31). Available from: https://www.ncbi.nlm.nih.gov/pubmed/28767601. DOI:
10.1097/MD.0000000000007693.
10. Costa-Dias MJM, Ferreira PL. Escalas de avaliação de risco de quedas. Referência [Internet] 2014[acesso 24 de outubro de 2018];
2(Série IV). Disponível em: http://www.scielo.mec.pt/pdf/ref/vserIVn2/serIVn2a16.pdf.
DOI: http://dx.doi.org/10.12707/RIII12145
11. Viveiro LAP, Ferreira AFL, Pompeu JE. Adaptação transcultural, confiabilidade e validade da St. Thomas’s Falls Risk Assessment
Tool in Older Adults (STRATIFY). Fisioter Mov [Internet] 2019[acesso 24 de junho de 2020];32, e003227. Disponível em: https://
www.scielo.br/pdf/fm/v32/1980-5918-fm-32-e003227.pdf . DOI: http://dx.doi.org/10.1590/1980-5918.032.AO27
12. Urbanetto JS, Creutzberg M, Franz F, Ojeda BS, Gustavo AS, Bittencourt HR, et al. Morse Fall Scale: tradução e adaptação
transcultural para a língua portuguesa. Rev Esc Enferm USP [Internet] 2013 [acesso 29 de maio de 2017]; 47(3):569-75. Disponível
em: http://www.scielo.br/pdf/reeusp/v47n3/en_0080-6234-reeusp-47-3-00569.pdf. DOI: 10.1590/S0080-623420130000300007
13. Morse J. Preventing patient falls. Thosand Oaks: Sage, 1997[cited 2017 May 29]. Available from: https://www.ncbi.nlm.nih.gov/
pubmed/9505576.
14. Bagui, S., Long, T.and Bagui, S. Selecting the Optimal Morse Falls Scale Cut-Off Point for Patient Fall Risk. Health [Internet]
2019[cited 2020 Jun 24];11(07):924-931. Available from: https://www.scirp.org/journal/paperinformation.aspx?paperid=93854.
DOI: https://doi.org/10.4236/health.2019.117074
15. Oliver D, Britton M, Seed P, Martin FC, Hopper A. Development and evaluation of an evidence-based risk assessment tool
(STRATIFY) to predict which elderly inpatients will fall: case-control and cohort studies. BMJ [Internet] 1997[cited 2018 May
27];53:315:1049. Available from: https://www.ncbi.nlm.nih.gov/pubmed/9366729
DOI: 10.1136/bmj.315.7115.1049.
16. Sarges NA, Santos MIPO, Chaves EC. Avaliação da segurança do idoso hospitalizado quanto ao risco de quedas. Rev Bras
Enferm [Internet] 2017[acesso 27 de maio 2018];70(4):860-7. Disponível em: http://www.scielo.br/pdf/reben/v70n4/pt_0034-7167-
reben-70-04-0860.pdf. DOI: https://doi.org/10.1590/0034-7167-2017-0098
17. Han J, Xu L, Zhou C, Wang J, Li J, Hao X et al. Stratify, Hendrich II fall risk model and Morse fall scale used in predicting the riskof falling for elderly in-patients. Biomed Res-India [Internet] 2017. [cited 2018 May 27]. Available from: http://www.alliedacademies.
org/articles/stratify-hendrich-ii-fall-risk-model-and-morse-fall-scale-used-in-predicting-the-risk-of-falling-for-elderly-inpatients.html
18. Baixinho CRSL, Dixe MACR. Quedas em instituições para idosos: caracterização das ocorrências de queda e fatores de risco
associados. Rev Eletr Enferm [Internet] 2015[acesso 27 de maio de 2017]; 17(4). Disponível em: https://www.fen.ufg.br/fen_revista/
v17/n4/pdf/v17n4a03.pdf . DOI: https://doi.org/10.5216/ree.v17i4.31858
19. Thomas DMSN, Pavic AMS, Bisaccia EPT, Grotts JMA. Validation of Fall Risk Assessment Specific to the Inpatient Rehabilitation
Facility Setting. Rehabil Nurs [Internet] 2016[cited 2017 May 27]; 41:253–2591. Available from: https://www.ncbi.nlm.nih.gov/
pubmed/25821047. DOI: 10.1002/rnj.211.
20. Baixinho CL, Dixe MA. Práticas das equipes na prevenção de queda nos idosos institucionalizados: construção e validação de
escala. Texto Contexto – Enferm [Internet] 2017[acesso 4 de junho de 2018]; 26(3):2310016. Disponível em: http://www.scielo.br/
scielo.php?pid=S010407072017000300318&script=sci_abstract&tlng=p
Epub Aug 21, 2017. DOI: http://dx.doi.org/10.1590/0104-07072017002310016
21. Remor CP, Cruz CB, Urbanetto JS. Análise dos fatores de risco para queda de adultos nas primeiras 48 horas de hospitalização.
Rev Gaúcha Enferm [Internet] 2014[acesso 10 de julho de 2018]; 35(4):28-34. Disponível em: http://www.scielo.br/pdf/rgenf/
v35n4/1983-1447-rgenf-35-04-00028. DOI: http://dx.doi.org/10.1590/1983-1447.2014.04.50716.
22. Correa AD, Marques IAB, Martinez MC, Laurino OS, Leão ER, Chimentão DMN. Implantação de um protocolo para
gerenciamento de quedas em hospital: resultados de quatro anos de seguimento. Rev Esc Enferm USP [Internet] 2012[acesso 10 julho
de 2018],46(1): 67-74. Disponível em: http ://www.scielo.br/pdf/reeusp/v46n1/en_v46n1a09.pdf. DOI: https://doi.org/10.1590/
S0080-62342012000100009
23. Pasa TS, Magnago TSBS, Urbanetto JS, Baratto MAM, Morais BX, Carollo JB. Avaliação do risco e incidência de quedas em
pacientes adultos hospitalizados. Rev Latino-Am Enfermagem [Internet] 2017[acesso 10 de março de 2018];24(2862). Disponível
em: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0104-11692017000100326. DOI: 10.1590/1518-8345.1551.2862
24. Oliver D, Papaioannou A, Giangregorio L, Thabane L, Reizgys K, Foster G. A systematic review and meta-analysis of studiesusing
the STRATIFY tool for prediction of falls in hospital patients: Howwell does it work? Age Ageing [Internet] 2008[cited 2018 Mar
10];37(6):621-627. Available from: https://www.ncbi.nlm.nih.gov/pubmed/18829693
DOI: 10.1093/ageing/afn203.
25. Aranda-Gallardo M, Luna-Rodriguez ME, Vazquez-Blanco M, Canca-Sanchez JC, Moyafor
evaluating the risk of falls by hospitalized acute-care patients: a multicentre longitudinal study. BMC Health Serv Res [Internet]
2017[cited 2018Mar10];17(277). Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5393002/DOI: 10.1186/s12913-017-2214-3
26. Abreu DROM, Azevedo RCS, Silva AMC, Reiners AAO. Fatores associados à recorrência de quedas em uma coorte de idosos.
Cien Saude Colet [Internet] 2016[acesso 10 de março de 2017];21(11):3439-3446. Disponível em: http://www.scielo.br/pdf/csc/
v21n11/en_1413-8123-csc-21-11-3439.pdf. DOI: http://dx.doi.org/10.1590/1413-812320152111.21512015.
27. Araújo HS de, Cruz ADFC, Simionatto J, Oliveira, P. C dos S, Barbosa, SRM. Risco e medo de quedas em idosos de Campo Grande,
Mato Grosso do Sul: características sociodemográficas e funcionais. Mundo Saúde [Internet] 2020[acesso 2 de julho de 2020];
44:3-11, e0852019. Disponível em: https://www.revistamundodasaude.com.br/uploads/20190085.PDF. DOI: 10.15343/0104-
7809.202044003011.
28. Smith J, Forster A, Young J. Use of the ‘STRATIFY’ falls risk assessment in patients recovering from acute stroke. Oxford University
Press on behalf of the British Geriatrics Society. Age Ageing [Internet] 2006[cited 2017Nov15];138-143. Available from: https://www.
ncbi.nlm.nih.gov/pubmed/16368736. DOI:10.1093/ageing/afj027
29. Aranda-Gallardo M, Morales-Asencio JM, Canca-Sanchez JC, Barrero-Sojo S; Perez-Jimenez C; Morales-Fernandez A, Luna-
Rodriguez ME, Moya-Suarez AB, Mora-Banderas AM. Instruments for assessing the risk of falls in acute hospitalized patients: a
systematic review and meta-analysis. BMC Health Serv Res [Internet] 2013[cited 2017Nov15];13(122). Available from: https://www.
ncbi.nlm.nih.gov/pmc/articles/PMC3637640/. DOI: 10.1186/1472-6963-13-122.
30. Harrington L, Luquire RVN, Winter M, Wilder C, Houser, B, Pitcher, et al. Meta-analysis of fall-risk tools in hospitalized adults. J
Nurs Adm [Internet] 2010[cited 2017Nov15]; 40:483- 488. Available from: https://www.ncbi.nlm.nih.gov/pubmed/20978417
DOI: 10.1097/NNA.0b013e3181f88fbd.
31. Urbanetto JS, Pasab TS, Bittencout HR, Franz F, Rosa VPP, Magnago TSBS. Análise da capacidade de predição de risco e validade da
Morse Fall Scale versão brasileira. Rev Gaúcha Enferm [Internet] 2016[acesso 15 de novembro de 2017];37(4):62200. Disponível em:
http://www.scielo.br/pdf/rgenf/v37n4/en_0102-6933-rgenf-1983-144720160462200.pdf. DOI:10.1590/1983-1447.2016.04.62200

Published

2020-07-01

How to Cite

Assis Rodrigues, J., Moraes Penha, R. ., Contrera, L. ., Rosa Miziara Barbosa, S. ., Anacleto Pinheiro, E., de Lourdes Oshiro, M. ., & Regina Martins Alvarenga, M. (2020). Comparison of the Morse Fall Scale and STRATIFY scale on the risk of falls among the elderly: DOI: 10.15343/0104-7809.202044311324. O Mundo Da Saúde, 44, 311–324. Retrieved from https://revistamundodasaude.emnuvens.com.br/mundodasaude/article/view/965