Black Clouds vs Random Variation in Hospital Admissions.

Area of Science:

• Medical Practice Analysis
• Physician Performance Metrics

Background:

• Physicians are sometimes labeled "black clouds" if they have consistently high hospital admission rates.
• The existence of a true "black cloud" phenomenon versus random variation is debated.

Purpose of the Study:

• To investigate whether the "black cloud" phenomenon in hospital admissions is a real effect or attributable to random chance.
• To analyze physician admission data to identify potential "black cloud" and "white cloud" physicians.

Main Methods:

• Analysis of hospital admissions for a family medicine service over five years (2010-2015).
• Stratification of data by physician peer groups (e.g., attending physicians, senior residents).
• Use of mixed-effects negative binomial regression to test for significant differences in admission numbers among physicians, controlling for confounding variables.

Main Results:

• The study included 96 physicians and 6,194 admissions, with a notable increase in admissions over the study period.
• Initial analysis identified potential "black cloud" and "white cloud" physicians.
• After controlling for study year and other factors, no significant associations were found between individual physicians and admission numbers.

Conclusions:

• Apparent "black cloud" and "white cloud" physician effects can be explained by random variation in hospital admissions.
• This random variation leads to significant workload disparities among physicians.
• Workload variations have potential implications for resident education and patient safety.