Impact of shortened length of stay for delivery on the required bed capacity in maternity services: results from forecast analysis on administrative data

BMC Health Serv Res. 2019 Sep 5;19(1):637. doi: 10.1186/s12913-019-4500-8.

Abstract

Background: We examine the implications of reducing the average length of stay (ALOS) for a delivery on the required capacity in terms of service volume and maternity beds in Belgium, using administrative data covering all inpatient stays in Belgian general hospitals over the period 2003-2014.

Methods: A projection model generates forecasts of all inpatient and day-care services with a time horizon of 2025. It adjusts the observed hospital use in 2014 to the combined effect of three evolutions: the change in population size and composition, the time trend evolution of ALOS, and the time trend evolution of the admission rates. In addition, we develop an alternative scenario to evaluate the impact of an accelerated reduction of ALOS.

Results: Between 2014 and 2025, we expect the number of deliveries to increase by 4.41%, and the number of stays in maternity services by 3.38%. At the same time, a reduction in ALOS is projected for all types of deliveries. The required capacity for maternity beds will decrease by 17%. In case of an accelerated reduction of the ALOS to reach international standards, this required capacity for maternity beds will decrease by more than 30%.

Conclusions: Despite an expected increase in the number of deliveries, future hospital capacity in terms of maternity beds can be considerably reduced in Belgium, due to the continuing reduction of ALOS.

Keywords: Hospital capacity; Length of stay; Maternity beds.

Publication types

  • Multicenter Study

MeSH terms

  • Adult
  • Bed Occupancy / statistics & numerical data
  • Belgium
  • Delivery, Obstetric / statistics & numerical data
  • Delivery, Obstetric / trends
  • Female
  • Forecasting
  • Hospital Bed Capacity / statistics & numerical data*
  • Hospitals, General / statistics & numerical data
  • Hospitals, General / trends
  • Humans
  • Length of Stay / statistics & numerical data*
  • Length of Stay / trends
  • Middle Aged
  • Pregnancy