Toward ensuring care quality and safety across settings: examining time pressure in a nursing home with observational time motion study metrics based on the Omaha system.
J Am Med Inform Assoc
; 30(11): 1837-1845, 2023 10 19.
Article
en En
| MEDLINE
| ID: mdl-37352394
ABSTRACT
BACKGROUND:
Meaningful data to determine safe and efficient nursing workload are needed. Reasoning a nurse can accomplish a finite number of interventions and location changes per hour, examination of time pressure using time motion study (TMS) methods will provide a comparable indication of safe and efficient workload for an individual nurse.METHODS:
An observer shadowed 11 nurses at a 250-bed nursing home in the Southeastern United States and recorded 160 h of observations using TimeCaT, web-based TMS data recording software. Predefined Omaha System nursing interventions (N = 57) and locations (N = 8) were embedded within TimeCaT. The time-stamped data were downloaded from TimeCaT and analyzed using descriptive and inferential statistics. Five time pressure metrics were derived from previous TMS findings in acute care settings.RESULTS:
Overall, nurses spent 66 s for each intervention, performed 65 interventions per hour, stayed 130 s at each location, changed locations 28 times per hour, and multitasked for 29% of working time. Computed hourly time pressure metrics enabled visualization of variability in time pressure metrics over time, with differences in multitasking by licensure, unit/role, and observation session time.CONCLUSIONS:
Nursing home nurses consistently experienced a high degree of time pressure, especially multitasking for one-third of their working time. To inform staffing decision making and improve the quality of care, resident outcomes, and nurse satisfaction, it is critical to identify ways to mitigate time pressure. Additional research is needed to refine and extend the use of the time pressure metrics.Palabras clave
Texto completo:
1
Colección:
01-internacional
Base de datos:
MEDLINE
Asunto principal:
Calidad de la Atención de Salud
/
Casas de Salud
Tipo de estudio:
Prognostic_studies
Límite:
Humans
Idioma:
En
Revista:
J Am Med Inform Assoc
Asunto de la revista:
INFORMATICA MEDICA
Año:
2023
Tipo del documento:
Article
País de afiliación:
Estados Unidos