Prevalence of Falls
Identifying Attributes
Care Settings
Country
Publishing Organisation
Type of Quality Indicator
IOM Quality Dimension
Domain
Defining Attributes
Definition
Prevalence of residents who fell in past 30 days
Numerator
Number of residents who fell in past 30 days
Denominator
Number of residents
Exclusions
Residents with missing assessments on the prior or target quarter and those who were comatose
Use of Risk Adjustment
Risk Adjustments
Cognitive impairment, unit type (special care unit vs conventional units), activities of daily living (ADL),26 age, sex, bladder continence (usually continent and incontinent), psychotropic medication use, restraint use, wandering, balance, range of motion, behavioural symptoms, stroke history, hemiplegia, and depression.
Stratifications
Collection and Reporting Attributes
Type of Data Collection
Data Collection Methods
Nursing Home Minimum Data Set (MDS) Resident Assessment Instrument
Frequency of Data Collection
Frequency of Data Collection in Days
Reporting Methods
Reporting Frequency
Reporting Frequency in Days
Indicator Has Recommended Targets
Source and Reference Attributes
Evidence Source
Nazir, A., Mueller, C., Perkins, A., & Arling, G. (2012). Falls and Nursing Home Residents With Cognitive Impairment: New Insights into Quality Measures and Interventions. Journal of the American Medical Directors Association, 13(9), e1-819. dx.doi.org/10.1016/j.jamda.2012.07.018
Rantz MJ, Flesner MK, Zwygart-Stauffacher M. Improving care in nursing homes using quality measures/indicators and complexity science. J Nurs Care Qual. 2010 Jan-Mar;25(1):5-12. doi: 10.1097/NCQ.0b013e3181c12b0f. PMID: 20010251; PMCID: PMC3254212.