The Bradford Factor is designed to flag up a pattern of problematic absence by scoring employee’s absence based on both the length and frequency of absence.
The research behind the system (conducted in 1980 by The Bradford University School of Management – hence “Bradford”) indicates that frequent short-term absences are more disruptive to a business than infrequent, long-term absence. So, someone taking numerous non-consecutive absences would accrue a higher score than someone absent for the same number of days taken in one consecutive block.
It works like this; take five employees who’ve all taken the same amount of sick days over a year, we’ll say 12, but their absences show a different pattern. 12 days in one chunk vs 12 separate days will impact their work and workplace in quite different ways.
The Bradford Factor is a mathematical formula that gives each employee a “score” based on their own pattern, helping to identify problematic patterns of absence.
First, let’s start with the equation:
For example, here’s how 10 days absence could be shown and how the Bradford factor would differ in each circumstance:
With the Bradford Factor, the lower the score the better. Higher scores indicate a more disruptive pattern of absence for the business.
The Bradford Factor can help to flag up possible issues surrounding an individual’s absence.
Because maths pays no attention to “who”, it removes subjectivity from an analysis.
Maths pays no attention to “why”, and the why is key to fair treatment.
The Bradford Factor only provides black and white statistics with no insight whatsoever as to the underlying causes. This means it can serve as a handy tool for analysis but shouldn’t be used in isolation when considering formal procedures linked to absence.
The Equality Act states that employers must tailor their actions to an individual’s circumstances. For example, pregnancy, or disabilities such as asthma or epilepsy, may create short-term and more frequent absences, resulting in a higher Bradford score. The reasons for an absence must therefore also be taken into account.