# Corrective measures to reduce the accident rate in a company cleaning services sector

## TL;DR

This paper presents corrective actions to reduce workplace accidents in a cleaning services company in Bogota, Colombia, by analyzing causes and implementing targeted improvements.

## Contribution

The study introduces a method to reduce accident rates by addressing personal and work-related factors through improved training and data analysis.

## Key findings

- 80% of accidents were caused by insufficient practices and lack of attention from workers.
- 45.2% of work-related accidents were due to unspecified factors, highlighting gaps in data collection.
- Implementing revised training methods led to only four accidents reported by the end of 2023.

## Abstract

The accident rates presented by organizations are a problem in different
economic sectors which should be managed under the principles of continuous
improvement typical of occupational safety and health management
systems.

To define actions on the source, the environment, and the worker aimed at
reducing accident rates in a company of the cleaning service sector.

The accident rate was analyzed through the consolidation of a database
provided by the company corresponding to the city of Bogota, Colombia during
the 1st semester of 2023. For the analysis of the basic causes of
the occupational accidents reported, personal and work-related factors were
identified, consolidating the data through Pareto diagrams. Subsequently,
actions were taken on the source, the environment, and the worker.

In personal factors, 80% of the causes were due to insufficient practices and
lack of attention. In the work-related factors, 45.2% of the accidents
corresponded to unspecified work factors, i.e., there was not enough
information to identify them. This involved analyzing the company’s
induction and training practices. By the end of 2023, only four accidents
were reported.

From the analysis of the basic causes of the accidents reported, the need to
modify the methodology of induction and prevention training sessions was
identified, taking into account workers’ sociodemographic
characteristics.