Finding statistically significant high accident counts in exploration of occupational accident data

Räsänen, Tuula; Reiman, Arto; Puolamäki, Kai; Savvides, Rafael; Oikarinen, Emilia; Lantto, Eero

doi:10.1016/j.jsr.2022.04.003

Cited by 2 publications

(1 citation statement)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The answer may lie in utilizing tools that enable the integration of multiple data from the multifaceted conditions that influence the accident, striving for greater accuracy in prediction. Variables organized in contingency tables and analyzed statistically, even in the absence of a clear prior hypothesis to test, can identify employees at immediate risk of accidents [1].…”

Section: Introductionmentioning

confidence: 99%

Computerized Predictive Analysis of Accidents (FOCOS/PRONTOS System): Study of Rare Cases

Silva¹,

Paulo

Soares

et al. 2023

JAMMR

View full text Add to dashboard Cite

Introduction: We report here a series of ten rare cases of work accidents that occurred in five Brazilian companies using the Computerized Evaluation of Work Readiness (FOCOS/Prontos System), aiming to assess the correlation between instrument performance and factors influencing the accidents. Materials and Methods: Before joining the company, employees access the system with a login and password, and in less than a minute, they perform the test, which consists of identifying pre-known figures as correct or incorrect. The test assesses impulse control (the ability to avoid errors by touching during the evaluation), attention (discriminating the figure that represents the correct stimulus in the test and reacting as quickly as possible by touching the screen every time it appears), and reaction time (speed to react to the correct stimulus by touching the screen). The test result is immediately released after its completion. The test result contributes to work clearance, referral for medical or psychological evaluation, or activity suspension. Results: The ten cases occurred in 2022 and early 2023, equally distributed across morning, afternoon, and night shifts. In the 300 readiness evaluations, 218 alterations associated with impulse control (66), attention (39), reaction time (40), concentration (27), and risk predictor (46) were identified. The average deviation level was 80.1±22.62%, ranging from 27% to 100%, with a median of 88.5%. The main reasons for reporting deviations were falls from heights (leading to death), improper activity performed in restricted areas (leading to death), collisions with heavy vehicles (6 cases), upper limb injuries (1), and fire (1). Two fatalities occurred. Conclusion: The Computerized Test for Readiness Evaluation (FOCOS/Prontos System) as a risk assessment tool identified alterations in readiness parameters in 100% of the workers involved in the analyzed cases, demonstrating its predictive capacity in identifying accident risks.

show abstract

Section: Introductionmentioning

confidence: 99%

Computerized Predictive Analysis of Accidents (FOCOS/PRONTOS System): Study of Rare Cases

Silva¹,

Paulo

Soares

et al. 2023

JAMMR

View full text Add to dashboard Cite

show abstract

Meslek Hastalıkları Ve İş Kazaları İle İlgili İstatistiksel Çalışmalar: Literatür Taraması

Çetin,

Özdemir,

Yıldırım

et al. 2024

İstatistik Ve Uygulamalı Bilimler Dergisi

View full text Add to dashboard Cite

İş kazası ve meslek hastalıkları, çalışma yaşamında önemli bir sorundur. Bu sorunların önlenmesi ve azaltılması için istatistiksel verilerden yararlanmak önemlidir. İstatistik, iş kazası ve meslek hastalıklarının sayısal olarak ifade edilmesini sağlar. Bu veriler, sorunların hangi sektörlerde, hangi mesleklerde, hangi yaş gruplarında ve hangi cinsiyetlerde daha fazla olduğunun belirlenmesine yardımcı olur. Bu bilgiler, sorunların önlenmesi ve azaltılması için alınacak önlemlerin belirlenmesinde kullanılır. Bu çalışmada meslek hastalıkları ve iş kazaları ile ilgili istatistiksel yöntemler kullanılarak yapılmış çalışmalar incelenmiştir. İstatistiksel çalışmaların performans izleme, mevcut durum hakkında yorumlar yapma ve gelecek hakkında önlem alma gibi konularda yol gösterici olduğu görülmüştür.

show abstract

Finding statistically significant high accident counts in exploration of occupational accident data

Cited by 2 publications

References 19 publications

Computerized Predictive Analysis of Accidents (FOCOS/PRONTOS System): Study of Rare Cases

Computerized Predictive Analysis of Accidents (FOCOS/PRONTOS System): Study of Rare Cases

Meslek Hastalıkları Ve İş Kazaları İle İlgili İstatistiksel Çalışmalar: Literatür Taraması

Contact Info

Product

Resources

About