#PAGE_PARAMS# #ADS_HEAD_SCRIPTS# #MICRODATA#

Fall risk in hospitalized geriatric patients with malnutrition


Authors: J. Madleňák;  I. Bóriková
Authors‘ workplace: Vedúca ústavu: prof. Mgr. Katarína Žiaková, PhD. ;  Jesseniova lekárska fakulta v Martine ;  Ústav ošetrovateľstva ;  Univerzita Komenského v Bratislave
Published in: Prakt. Lék. 2023; 103(5): 264-268
Category: Of different specialties

Overview

Aim: To determine the presence of a risk of falls in hospitalized geriatric patients with malnutrition in the internal medicine department.

Methods: Quantitative, descriptive, correlational study. Hospitalized geriatric patients were included in the research group. Each respondent completed a research protocol containing socio-demographic data, health characteristics, and selected laboratory parameters of nutritional status, fall risk screening according to MFS and nutritional status screening according to MNA®-SF.

Results: The file consisted of n = 200 respondents (50% men, 50% women), of which the majority were in the age category 65–74 years (52%). According to the MFS, 2% had a low risk of falling, 26% had a medium risk of falling, and 72% had a high risk of falling. According to MNA®-SF, 31% had normal nutritional status, 51% were at risk of malnutrition, and 18% (n = 35) had malnutrition. In that of malnourished patients, 5 respondents had a medium risk of falling and 30 respondents had a high risk of falling.

Conclusions: The timely risk screening for geriatric patients must be performed already when the patient is admitted to the hospital. Medical personnel play a key role in the early identification of the risk of malnutrition and fall, which is the starting point for timely and targeted interventions.


Sources
  1. Agresti A. An Introduction to Categorical Data Analysis, 2nd Ed. New York: John Wiley & Sons; 2007.
  2. Avanecean D, Calliste D, Contreras T, et al. Effectiveness of patient-centered interventions on falls in the acute care setting compared to usual care: A systematic review. JBI Database of Systematic Reviews and Implementation Reports 2017; 15(12): 3006–3048.
  3. Blanco JA, Díaz LM, Fernández EF, et al. Evaluation of inpatients’ nutritional status and prognostic involvement. J Aging Res Clin Practice 2019; 8(1): 15–19.
  4. Bóriková I, Tomagová M, Miertová M, a kol. Predictive value of the Morse Fall Scale. Central European Journal of Nursing and Midwifery 2017; 8(1): 588–595.
  5. Bóriková I, Tomagová M, Miertová M. Pády a ich prevencia u hospitalizovaných pacientov. Martin: Osveta 2019.
  6. Griffin A, Neill AO, Connor MO, et al. The prevalence of malnutrition and impact on patient outcomes among older adults presenting at an Irish emergency department: a secondary analysis of the OPTI-MEND trial. BMC Geriatrics 2020; 20(1): 1–11.
  7. Hollander M, Wolfe DA, Chicken E. Nonparametric Statistical Methods. New York: John Wiley & Sons 1973.
  8. Hoozová J. Malnutrícia u seniorov. Paliatívna medicína a liečba bolesti 2015; 8(1): 6–12.
  9. Hoozová, J, Németh F, Leitmann T. Komplexné vyšetrenie geriatrické. Štandardný postup. Bratislava. Ministerstvo zdravotníctva Slovenskej republiky 2021.
  10. Ji T, Zhang L, Han R, et al. Management of Malnutrition Based on Multidisciplinary Team Decision Making in Chinese Older Adults (3M Study): A Prospective, Multicenter, Randomized, Controlled Study Protocol. Frontiers in Nutrition 2022; 9(1): 1–12.
  11. Kaiser MJ, Bauer JM, Ramsch C, et al. Validation of the Mini Nutritional Assessment short-form (MNA-SF): A practical tool for  identification of nutritional status. Journal of Nutrition, Health and Aging 2009; 13(9): 782–788.
  12. Mahto A. Splitstackshape: Stack and Reshape Datasets After Splitting Concatenated Values. R package version 1.4.8. [on line]. 2019 [cit. 2023-09-10]. Dostupný na: project.org/package=splitstackshape
  13. Meneses A, Silva C, Pinho-Reis C, et al. Mini nutritional assessment-short form test: criterion and predictive validity in older adults from a long-term care unity. Nutr Hosp 2023; 40(4): 763–770.
  14. Morse JM, Preventing Patient Falls. Establishing a Fall Intervention Program. (2th ed.). New York: Springer Publishing Company 2009.
  15. NCZI. Medzinárodná klasifikácia chorôb – MKCH-10. [on line]. 2022 [cit. 2023-10-01]. Dostupný na: https://www.nczisk.sk/ Standardy-vzdravotnictve/Pages/Medzinarodna-klasifikaciachorob-MKCH-10.aspx
  16. Noh HM, Song HJ, Park YS, et al. Fall predictors beyond fall risk assessment tool items for acute hospitalized older adults: a matched case-control study. Scientific Reports 2021; 11(1): 1–9.
  17. R Core Team R. A language and environment for statistical computing. R Foundation for Statistical Computing: Vienna 2022.
  18. Rossé CS, Delannoy VW, Maître I. Prevalence of Undernutrition and Risk of Undernutrition in Overweight and Obese Older People. Frontiers in Nutrition 2022; 9(1): 1–8.
  19. Růžičková V, Zeleníková R. Strach z pádu u seniorů ve zdravotnických a sociálních zařízeních. Ošetrovateľstvo 2017; 7(1): 6–11.
  20. Scherer R. PropCIs: Various Confidence Interval Methods for Proportions. R package version 0.3-0. [on line]. 2018 [cit. 2023-10-10]. Dostupný na: https://CRAN.R-project.org/package=PropCIs
  21. Schoberer D, Breimaier HE, Zuschnegg J, et al. Fall prevention in hospitals and nursing homes: Clinical practice guideline. In: Worldviews on Evidence-Based Nursing 2022; 19(2): 86–93.
  22. Silva AKM, Costa DCM, Reis AMM. Risk factors associated with in-hospital falls reported to the Patient Safety Commitee of a teaching hospital. Einstein 2019; 17(1): 1–7.
  23. Stalder L, Kaegi-Braun N, Gressies C, et al. Prospective validation of five malnutrition screening and assessment instruments among medical inpatients: Secondary analysis of a randomized clinical trial. Clinical Nutrition 2022; 41(6): 1307–1315.
  24. Volkert D, Beck AM, Cederholm T, et al. ESPEN practical guideline: Clinical nutrition and hydration in Geriatrics. Clinical Nutrition 2022; 41(4): 958–989.
  25. WHO. Falls [on line]. 2023 [cit. 2023-10-20]. Dostupný na: https:// www.who.int/news-room/fact-sheets/detail/falls
  26. Zeng XK, Shen SS, Chu JJ, et al. Relationship of serum vitamin D level on geriatric syndromes and physical performance impairment in elderly hypertensive patients. Journal of Geriatric Cardiology 2016; 13(6): 537–545.
Labels
General practitioner for children and adolescents General practitioner for adults
Login
Forgotten password

Enter the email address that you registered with. We will send you instructions on how to set a new password.

Login

Don‘t have an account?  Create new account

#ADS_BOTTOM_SCRIPTS#