Evidence map›Paper›PMID 32951782›Full record

ArticleJournal of safety research2020

Lagging or leading? Exploring the temporal relationship among lagging indicators in mining establishments 2006-2017.

Patrick L Yorio, Emily J Haas, Jennifer L Bell, Susan M Moore, Lee A Greenawald

Abstract read
In one paragraph

Article in Journal of safety research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Patrick L YorioNational Personal Protective Technology Laboratory of the National Institute for Occupational Safety and Health, U.S. Centers for Disease Control and Prevention, Pittsburgh, PA, USA. Electronic address: pyorio@cdc.gov.
Emily J HaasNational Personal Protective Technology Laboratory of the National Institute for Occupational Safety and Health, U.S. Centers for Disease Control and Prevention, Pittsburgh, PA, USA.
Jennifer L BellDivision of Safety Research of the National Institute for Occupational Safety and Health, U.S. Centers for Disease Control and Prevention, Morgantown, WV, USA.
Susan M MooreNational Personal Protective Technology Laboratory of the National Institute for Occupational Safety and Health, U.S. Centers for Disease Control and Prevention, Pittsburgh, PA, USA.
Lee A GreenawaldNational Personal Protective Technology Laboratory of the National Institute for Occupational Safety and Health, U.S. Centers for Disease Control and Prevention, Pittsburgh, PA, USA.

Funding

Intramural CDC HHS CC999999
6 · The paper itself

Abstract

problemSafety management literature generally categorizes key performance indicators (KPIs) as either leading or lagging. Traditional lagging indicators are measures related to negative safety incidents, such as injuries, while leading indicators are used to predict (and therefore can be used to prevent) the likelihood of future negative safety incidents. Recent theory suggests that traditional lagging indicators also possess characteristics of leading indicators, and vice versa, however empirical evidence is limited.

methodThe current research investigated the temporal relationships among establishment-level injuries, near misses, and fatal events using injury and employment data from a sample of 24,910 mining establishments over a 12-year period.

resultsWhile controlling for employee hours worked, establishment-level reported injuries and near misses were associated with of future fatal events across the sample of mines and over the time period studied. Fatal events were also associated with increases in future reported near misses, providing evidence of a cyclic relationship between them. DISCUSSION: These findings challenge the strict categorization of injuries, near misses, and fatal events as lagging indicators. Practical applications: Understanding the KPIs that should be used to manage organizational safety, and how they can be used, is of critical practical importance. The results of the current study suggest that, depending on several considerations, metrics tied to negative safety incidents may be used to anticipate, and possibly prevent, future negative safety events.

Indexed as

HumansMiningSafetySafety ManagementAccident preventionKey performance indicatorsLeading and lagging

Identifiers

PMID32951782
PMCPMC9877915

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.