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Balancing fluctuating patient demand with nurse staffing in psychiatric hospitals is challenging. Current reactive staffing adjustments strain nurses, highlighting the need for flexible solutions to ensure patient care and staff well-being.

Keywords:
bed occupancyhealth workforcehospital bed capacityinpatientsleadershipnursespersonnel staffing and schedulingpsychiatric nursing

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Area of Science:

  • Healthcare Management
  • Nursing Workforce Studies
  • Psychiatric Care Operations

Background:

  • Nurse staffing and patient demand balance is a persistent challenge in inpatient care, particularly in psychiatric settings where demand variability complicates fixed staffing.
  • Limited staffing flexibility and fixed rosters struggle to accommodate fluctuating patient needs in psychiatric hospitals.

Purpose of the Study:

  • To quantify temporal variations in unit capacity utilization in psychiatric inpatient care.
  • To explore how unit managers respond to demand fluctuations and their perceptions of flexible working arrangements.

Main Methods:

  • Combined routine inpatient data from 116 units across 13 Swiss psychiatric hospitals with a survey of unit managers.
  • Analyzed temporal variability in capacity utilization using routine data and assessed management strategies and attitudes toward flexibility via survey.

Main Results:

  • Substantial temporal fluctuations in occupancy were observed across psychiatric inpatient units.
  • Unit managers primarily used individual nurse-level adjustments (e.g., overtime) to manage demand, rarely employing structural strategies like transfers or bed closures.
  • Flexible working arrangements were viewed positively for nurse retention but challenging to implement in shift-based settings.

Conclusions:

  • Psychiatric inpatient care faces difficulties aligning fluctuating demand with stable staffing systems, relying on reactive measures that impact staff and potentially patient care.
  • Underutilized structural flexibility and reactive staffing strategies strain nurses and compromise treatment continuity and safety.
  • Future research and organizational efforts should focus on data-driven tools for workload prediction, flexible staffing interventions, and enhanced staff well-being and workforce planning.