RESUMO
OBJECTIVE: This study evaluates the predictability in temporal absences trends due to all causes (total absenteeism) among employees at a federal agency. The objective is to determine how leave trends vary within the year, and determine whether trends are predictable. METHODS: Ten years of absenteeism data from an attendance system were analyzed for rates of total absence. RESULTS: Trends over a 10-year period followed predictable and regular patterns during a given year that correspond to major holiday periods. Temporal trends in leave among small, medium, and large facilities compared favorably with the agency as a whole. CONCLUSIONS: Temporal trends in total absenteeism rates for an organization can be determined using its attendance system. The ability to predict employee absenteeism rates can be extremely helpful for management in optimizing business performance and ensuring that an organization meets its mission.
Assuntos
Absenteísmo , United States Government Agencies/estatística & dados numéricos , Humanos , Saúde Ocupacional , Licença Médica/estatística & dados numéricos , Estados UnidosRESUMO
OBJECTIVE: To determine whether trends of sickness in employees at a federal agency are predictable, and whether the variance was minimal enough to detect unusual levels of employee illness for further investigation. METHODS: Ten years of absenteeism data from an attendance system were analyzed for rates of sickness absence. Specifically, week of year and day of week were used to describe temporal trends. RESULTS: This study evaluates the predictability in temporal absence trends due to sickness among employees at a federal agency. Trends follow regular patterns during a given year that correspond to seasonal illnesses. Temporal trends in sick leave have been proven to be very predictable. CONCLUSION: The minimal variance allows the detection of sick leave anomalies that may be ascribable to specific causes, allowing the business or agency to follow-up and develop interventions.
