Quantifying the demand for hospital care services: a time and motion study

Area of Science:

• Healthcare Management
• Clinical Operations
• Health Services Research

Background:

• The precise care needs of hospitalized patients remain largely unquantified.
• A validated model is needed to estimate hospital care demand across diverse clinical specialties.
• Accurate demand forecasting is crucial for anticipating patient care requirements and associated costs.

Purpose of the Study:

• To develop and validate a model for quantifying hospital care services demand.
• To identify key patient characteristics influencing healthcare demand in a hospital setting.
• To provide a tool for healthcare managers to anticipate and monitor patient care needs.

Main Methods:

• A prospective time and motion study was conducted in three Dutch university hospital specialties.
• Patient care time by physicians and nurses was recorded.
• Costs associated with care, interventions, and diagnostics were calculated to estimate demand, analyzed via linear regression.

Main Results:

• Fifty patients across Surgery, Pediatrics, and Obstetrics & Gynecology wards were studied.
• Polypharmacy, complication severity, and surgical interventions were significant predictors of healthcare demand.
• These factors were applicable across different clinical specialties.

Conclusions:

• A set of predictors for hospital care demand was identified and validated across specialties.
• These predictors, identifiable during hospitalization, serve as a managerial tool.
• The findings enable monitoring of patient care demand and trend detection over time.