Validity of the Johns Hopkins fall risk assessment tool for predicting falls on inpatient medicine services

Journal of Nursing Care Quality

Volumn 32, Issue 2, 2017, Pages 108-113

  Klinkenberg, W Dean ^a   Potter, Patricia ^a  

^a BARNES JEWISH HOSPITAL   (United States)

Author keywords

Fall risk assessment; Inpatients; Johns Hopkins Fall Risk Assessment Tool; Predictive validity; Psychometric studies

Indexed keywords

FALL RISK ASSESSMENT; HOSPITAL ADMISSION; HOSPITAL PATIENT; HUMAN; MAJOR CLINICAL STUDY; MEDICINE; PREDICTIVE VALIDITY; FALLING; HEALTH CARE FACILITY; PREVENTION AND CONTROL; PROCEDURES; REPRODUCIBILITY; RISK ASSESSMENT; STANDARDS; STATISTICS AND NUMERICAL DATA;

ACCIDENTAL FALLS; HUMANS; INPATIENTS; PATIENTS' ROOMS; REPRODUCIBILITY OF RESULTS; RISK ASSESSMENT;

EID: 84980378334     PISSN: 10573631     EISSN: 15505065     Source Type: Journal    
DOI: 10.1097/NCQ.0000000000000210     Document Type: Article

References (17)

1. Currie L. Fall and injury prevention. In: Hughes R, ed. Patient Safety and Quality: An Evidence-Based Handbook for Nurses. Rockville, MD: Agency for Healthcare Research and Quality; 2008: 1-56.
2. Agency for Healthcare Research and Quality. Preventing Falls in Hospitals. Rockville, MD: Agency for Healthcare Research and Quality; 2013. http://www.ahrq.gov/professionals/systems/hospital/fallpxtoolkit/. Accessed January 19, 2016.
3. Wong CA, Recktenwald AJ, Jones ML, Waterman BM, Bollini ML, Dunagan WC. The cost of serious fall-related injuries at three Midwestern hospitals. Jt Comm J Qual Patient Saf. 2011;37(2): 81-87.
4. Centers for Medicare & Medicaid Services. Center for Medicaid and State Operations. Baltimore, MD: Centers for Medicare & Medicaid Services. https://downloads.cms.gov/cmsgov/archived-downloads/SMDL/downloads/smd073108.pdf. Published July 31, 2008. Accessed January 19, 2016.
5. The Joint Commission. Hospital: 2016 National Patient Safety Goals. http://www.jointcommission.org/hap 2016 npsgs/. Accessed February 3, 2016.
6. Williams T, Szekendi M, Thomas S. An analysis of patient falls and fall prevention programs across academic medical centers. J Nurs Care Qual. 2014;29(1): 19-29.
7. Yip WK, Mordiffi SZ, Wong HC, Ang ENK. Development and validation of a simplified falls assessment tool in an acute care setting [published online ahead of print March 18, 2016]. J Nurs Care Qual. doi: 10.1097/NCQ.0000000000000183.
8. Ruroede K, Pilkington D, Guernon A. Validation study of the Marianjoy Fall Risk Assessment Tool. J Nurs Care Qual. 2016;31(2): 146-152.
9. Poe SS, Cvach MM, Gartrell DG, Radzik BR, Joy TL. An evidence-based approach to fall risk assessment, prevention, and management. J Nurs Care Qual. 2005;20(2): 107-116.
10. Poe SS, Cvach M, Dawson PB, Straus H, Hill EE. The Johns Hopkins Fall Risk Assessment Tool: postimplementation evaluation. J Nurs Care Qual. 2007;22(4): 293-298.
11. Kim KS, Kim JA, Choi YK, et al. A comparative study on the validity of fall risk assessment scales in Korean hospitals. Asian Nurs Res. 2011;5(1): 28-37.
12. Morse JM, Morse RM, Tylko SJ. Development of a scale to identify the fall-prone patients. Can J Aging. 1989;8(4): 366-377.
13. Korean Hospital Nurses Association. Safety Management Guidelines for Nursing. 6th ed. Seoul, Korea: Korean Hospital Nurses Association; 2005.
14. Hosmer DW, Lemeshow S. Applied Logistic Regression. 2nd ed. New York, NY: John Wiley & Sons; 2000.
15. Hnizdo S, Archuleta RA, Taylor B, Kim SC. Validity and reliability of the modified Johns Hopkins Fall Risk Assessment Tool for elderly patients in home health care. Geriatric Nurs. 2013;34(5): 423-427.
16. Institute for Johns Hopkins Nursing, Johns Hopkins University. Fall Risk Assessment. Baltimore, MD: Institute for Johns Hopkins Nursing, Johns Hopkins University. http://www.hopkinsmedicine.org/institute nursing/models tools/fall risk.html. Accessed February 23, 2016.
17. Pamoukdjian F, Paillaud E, Zelek L, et al. Measurement of gait speed in older adults to identify complications associated with frailty: a systematic review. J Geriatric Oncol. 2015; 6(6): 484-496.