Keren Aridor, Michal Dvir, Dina Tsybulsky, Dani Ben-Zvi
Living the DReaM: The interrelations between statistical, scientific and nature of science uncertainty articulations through citizen science
Instructional science
meaningful data determine safe efficient nursing workload needed reasoning nurse accomplish finite number interventions location changes per hour examination time pressure using time motion study tms methods provide comparable indication safe efficient workload individual nurse observer shadowed 11 nurses 250bed nursing home southeastern united states recorded 160 h observations using timecat webbased tms data recording software predefined omaha system nursing interventions n 57 locations n 8 embedded within timecat timestamped data downloaded timecat analyzed using descriptive inferential statistics five time pressure metrics derived previous tms findings acute care settings overall nurses spent 66 intervention performed 65 interventions per hour stayed 130 location changed locations 28 times per hour multitasked 29 working time computed hourly time pressure metrics enabled visualization variability time pressure metrics time differences multitasking licensure unitrole observation session time nursing home nurses consistently experienced high degree time pressure especially multitasking onethird working time inform staffing decision making improve quality care resident outcomes nurse satisfaction critical identify ways mitigate time pressure additional research needed refine extend use time pressure metrics