Operating Room Utilization: A Retrospective Analysis of Perioperative Delays

Analysis of Patient Satisfaction through the Effect of Healthcare Spending on Waiting Times for Consultations and Operations

In recent years, public authorities have invested large amounts of public money in trying to reduce waiting times for consultations and operations with the aim of improving the quality of the healthcare system. Our research aims to analyze the effect of these investments on patient satisfaction through the mediating relationship of waiting times for consultations and operations, as well as from a gender perspective. By studying a series of key indicators of the Spanish healthcare system and applying partial least squares structural equation modelling (PLS-SEM), the findings show that the model explains 12.10% of the variance in consultant waiting times, 51.90% in operation waiting times, and 27.00% in patient satisfaction. We found that increased public spending leads to increased patient satisfaction by reducing waiting times. However, no gender-based differences were found. The results provide exciting implications for theory and practice, indicating how policymakers can orient their strategies towards improving patient satisfaction.

Evaluating factors associated with the cancellation and delay of elective surgical procedures: a systematic review

BACKGROUND

Elective surgery cancellation is considered a fundamental problem in health care services-it causes considerable disruption to patient flow, further eroding often already stretched operating capacity, and consequentially reduces both hospital performance and patient satisfaction. This research presents a systematic review (SR) of the reasons for surgery cancellation among different hospitals and countries. By highlighting these causes, we identify how to reduce cancellations, thereby improving the use of surgical capacity and resources and creating a more predicable patient flow.

METHODS

An SR was performed on elective surgery cancellation in compliance with the Preferred Reporting Items for Systematic Review and Meta-Analysis and by assessing the methodological quality of SR with Measurement Tool to Assess Systematic Reviews guidelines.

RESULTS

There are different reasons for surgery cancellation that vary between hospitals. This SR demonstrates that hospital-related causes (e.g. unavailable operation room time, inappropriate scheduling policy and lack of beds) are the primary reason for surgery cancellation, followed by work-up related causes (e.g. medically unfit and changes in the treatment plan) and patient-related causes (e.g. absence of a patient and patient refusal).

CONCLUSION

This review demonstrates that the main causes for surgery cancellation can be controlled by hospital managers, who can aim to improve areas such as patient flow and capacity management. Ultimately, this will improve the quality of healthcare delivered by hospitals.