Key result
A predictive algorithm was developed to calculate the number of anaesthetists needed per population based on centre type, ASA physical status, and anaesthetic duration.
Why the study?
A global shortage of anaesthetists affects health systems, prompting the development of a predictive model for the appropriate number of anaesthetic providers.
Cross-Sectional (n=3,774)
randomisation from every health service region
Yes
An algorithm was developed to calculate the required number of anaesthetists per population based on patient and procedural factors to maintain health services in Thailand.
May inform staffing models in comparable systems; leaves open prospective validation before clinical adoption.
BACKGROUND: A shortage of anaesthetists affects health system globally. This is a study on task-force to develop a predictive model for the appropriate number of anaesthetic providers (Y). METHODS: A cross-sectional study was performed with randomisation from every health service region across Thailand. The decision-making criteria for manpower needed were written and provided guidance. The number of personnel was calculated from the sum of total time spent by all anaesthetic providers divided by duration of the service. Linear regression analysis was applied. RESULTS: In total 3774 patients were included from 18 hospitals. The factors that affect the anaesthetic providers' allocation needs were included in the predictive model, calculated as Y = 3.53 + [0.56 (standard centre) + 0.36 (advanced centre) + 1.03 (specialty centre)] + 0.07 (American Society of Anesthesiologists physical status IV and V) + 0.61 (advanced anaesthetic medication) + [0.61 (monitored anaesthesia care) + 0.17 (general anaesthesia)] - [0.27 (pre-anaesthetic duration within 31-60 minutes) + (0.61 (over 60 minutes)] - [0.85 (anaesthetic duration within 31-60 minutes) + 1.04 (within 61-120 minutes) + 1.32 (over 120 minutes)] - [0.16 (post-anaesthetic duration within 31-60 minutes) + 0.45 (within 61-90 minutes) + 0.74 (over 90 minutes)]. CONCLUSION: The anaesthesia manpower algorithm developed during this study can be used to calculate the number of anaesthetists per population to maintain health services.
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Akavipat et al. (2022) conducted a cross-sectional in Anaesthesia (n=3,774). Factors affecting anaesthetic providers' allocation needs was evaluated on Appropriate number of anaesthetic providers (Y). A predictive algorithm was developed to calculate the number of anaesthetists needed per population based on centre type, ASA physical status, and anaesthetic duration.
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