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Using data to reduce employee turnover.

J M Kiel1

  • 1Duquesne University, Pittsburgh, PA, USA.

The Health Care Supervisor
|May 7, 1998
PubMed
Summary

Healthcare industry turnover hinders cost-efficient, quality care. Analyzing facility data can reveal turnover causes and guide managers in implementing effective retention strategies for improved organizational outcomes.

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Area of Science:

  • Healthcare Management
  • Organizational Psychology
  • Human Resources

Background:

  • High staff turnover in healthcare negatively impacts care quality and cost-efficiency.
  • Understanding the drivers of turnover is crucial for effective management in long-term care facilities.

Purpose of the Study:

  • To analyze three years of data from a medium-sized, long-term care facility to identify the root causes of staff turnover.
  • To examine the organization's response to data-driven insights on turnover.
  • To evaluate the outcomes of implemented strategies aimed at reducing turnover.

Main Methods:

  • Collection and analysis of three years of specific operational and human resources data from a long-term care facility.
  • Identification of key metrics and trends associated with staff departures.
  • Qualitative and quantitative assessment of organizational interventions.

Main Results:

  • Data revealed specific factors contributing to turnover within the facility.
  • Organizational responses were tailored based on the identified data insights.
  • The implemented measures led to measurable changes in turnover rates and organizational performance.

Conclusions:

  • Ongoing data analysis is essential for understanding and addressing healthcare staff turnover.
  • Managers can effectively improve retention by implementing targeted, data-informed strategies.
  • The presented methodology offers a replicable model for enhancing stability in long-term care settings.

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