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1.
J Patient Saf ; 18(2): 94-101, 2022 03 01.
Article in English | MEDLINE | ID: mdl-33480645

ABSTRACT

OBJECTIVES: Fall TIPS (Tailoring Interventions for Patient Safety) is an evidence-based fall prevention program that led to a 25% reduction in falls in hospitalized adults. Because it would be helpful to assess nurses' perceptions of burdens imposed on them by using Fall TIPS or other fall prevention program, we conducted a study to learn benefits and burdens. METHODS: A 3-phase mixed-method study was conducted at 3 hospitals in Massachusetts and 3 in New York: (1) initial qualitative, elicited and categorized nurses' views of time spent implementing Fall TIPS; (2) second qualitative, used nurses' quotes to develop items, research team inputs for refinement and organization, and clinical nurses' evaluation and suggestions to develop the prototype scale; and (3) quantitative, evaluated psychometric properties. RESULTS: Four "time" themes emerged: (1) efficiency, (2) inefficiency, (3) balances out, and (4) valued. A 20-item prototype Fall Prevention Efficiency Scale was developed, administered to 383 clinical nurses, and reduced to 13 items. Individual items demonstrated robust stability with Pearson correlations of 0.349 to 0.550 and paired t tests of 0.155 to 1.636. Four factors explained 74.3% variance and provided empirical support for the scale's conceptual basis. The scale achieved excellent internal consistency values (0.82-0.92) when examined with the test, validation, and paired (both test and retest) samples. CONCLUSIONS: This new scale assess nurses' perceptions of how a fall prevention program affects their efficiency, which impacts the likelihood of use. Learning nurses' beliefs about time wasted when implementing new programs allows hospitals to correct problems that squander time.


Subject(s)
Hospitals , Patient Safety , Adult , Humans , Psychometrics , Reproducibility of Results , Surveys and Questionnaires
2.
J Gerontol A Biol Sci Med Sci ; 75(10): e138-e144, 2020 09 25.
Article in English | MEDLINE | ID: mdl-31907532

ABSTRACT

BACKGROUND: Many hospital systems in the United States report injurious inpatient falls using the National Database of Nursing Quality Indicators categories: None, Minor, Moderate, Major, and Death. The Major category is imprecise, including injuries ranging from a wrist fracture to potentially fatal subdural hematoma. The purpose of this project was to refine the Major injury classification to derive a valid and reliable categorization of the types and severities of Major inpatient fall-related injuries. METHODS: Based on published literature and ranking of injurious fall incident reports (n = 85) from a large Academic Medical Center, we divided the National Database of Nursing Quality Indicators Major category into three subcategories: Major A-injuries that caused temporary functional impairment (eg, wrist fracture), major facial injury without internal injury (eg, nasal bone fracture), or disruption of a surgical wound; Major B-injuries that caused long-term functional impairment or had the potential risk of increased mortality (eg, multiple rib fractures); and Major C-injuries that had a well-established risk of mortality (eg, hip fracture). Based on the literature and expert opinion, our research team reached consensus on an administration manual to promote accurate classification of Major injuries into one of the three subcategories. RESULTS: The team tested and validated each of the categories which resulted in excellent interrater reliability (kappa = .96). Of the Major injuries, the distribution of Major A, B, and C was 40.3%, 16.1%, and 43.6%, respectively. CONCLUSIONS: These subcategories enhance the National Database of Nursing Quality Indicators categorization. Using the administration manual, trained personnel can classify injurious fall severity with excellent reliability.


Subject(s)
Accidental Falls/statistics & numerical data , Inpatients , Wounds and Injuries/classification , Adult , Aged , Aged, 80 and over , Databases, Factual , Female , Humans , Injury Severity Score , Male , Middle Aged , Reproducibility of Results
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