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Dataset Information

Development of a decision analytical framework to prioritise operating room capacity: lessons learnt from an empirical example on delayed elective surgeries during the COVID-19 pandemic in a hospital in the Netherlands.


ABSTRACT:

Objective

To develop a prioritisation framework to support priority setting for elective surgeries after COVID-19 based on the impact on patient well-being and cost.

Design

We developed decision analytical models to estimate the consequences of delayed elective surgical procedures (eg, total hip replacement, bariatric surgery or septoplasty).

Setting

The framework was applied to a large hospital in the Netherlands.

Outcome measures

Quality measures impacts on quality of life and costs were taken into account and combined to calculate net monetary losses per week delay, which quantifies the total loss for society expressed in monetary terms. Net monetary losses were weighted by operating times.

Results

We studied 13 common elective procedures from four sp

SUBMITTER: Rovers MM 

PROVIDER: S-EPMC8995574 | biostudies-literature | 2022 Apr

REPOSITORIES: biostudies-literature