title: Exploration of Risk Factors for Falls Using Electronic Nursing Records.
abstract: BACKGROUND
  The purpose was to identify fall risk factors between admission day and fall occurred day using electronic nursing records and the Morse Fall Scale (MFS).
  
  
  METHODS
  The MFS and fall related data were obtained through retrospective chart review from June 1, 2014 to May 31, 2015. Descriptive statistics and McNemar test were used for statistical tests.
  
  
  RESULTS
  Fall was evaluated in 447 events, 16 patients experienced recurrent fall. Pain, emotional distress, urinary problems and fever were significant differences between admission day and fall occurred day. There were explored significant MFS risk factors in risk group, history of falling, second diagnosis, IV catheter status, medication concerning fall risk, mental status, general weakness and gait in MFS subscales.
  
  
  CONCLUSIONS
  Routine fall screening is important for early detection of fall. Identification of high-risk group and using fall prevention guidelines could improve prevention of fall.
authors.affiliation: Department of Nursing, Asan Medical Center, Seoul, Korea.
authors.forename: Eunju
authors.initials: E
authors.lastname: Choi
authors.affiliation: Department of Nursing, Asan Medical Center, Seoul, Korea.
authors.forename: Youngshin
authors.initials: Y
authors.lastname: Lee
authors.affiliation: Department of Nursing, Asan Medical Center, Seoul, Korea.
authors.forename: Eunjung
authors.initials: E
authors.lastname: Yang
authors.affiliation: Department of Nursing, Asan Medical Center, Seoul, Korea.
authors.forename: Jihui
authors.initials: J
authors.lastname: Kim
authors.affiliation: Department of Nursing, Asan Medical Center, Seoul, Korea.
authors.forename: Yeonhee
authors.initials: Y
authors.lastname: Kim
authors.affiliation: College of Nursing, Seoul National University, Seoul, Korea.
authors.forename: Hyeoun-Ae
authors.initials: HA
authors.lastname: Park
mesh_terms: D000058:Accidental Falls / Q000517:prevention & control* / Q000706:statistics & numerical data*; D057225:Data Mining / Q000379:methods*; D057286:Electronic Health Records / Q000706:statistics & numerical data*; D005260:Female; D006801:Humans; D008297:Male; D009732:Nursing Care / Q000706:statistics & numerical data; D009737:Nursing Records / Q000706:statistics & numerical data*; D011159:Population Surveillance / Q000379:methods*; D015995:Prevalence; D056910:Republic of Korea / Q000453:epidemiology; D012307:Risk Factors