Evidence map›Paper›PMID 26823642›Full record

ArticleSafety science2016

Exploring the state of health and safety management system performance measurement in mining organizations.

Emily Joy Haas, Patrick Yorio

Abstract read
In one paragraph

Article in Safety science, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Industrial Robotics and the Future of Work.American journal of industrial medicine · 2025
    Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. A case study exploring field-level risk assessments as a leading safety indicator.Transactions of Society for Mining, Metallurgy, and Exploration, Inc · 2017
    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

2 authors.

Emily Joy HaasNational Institute for Occupational Safety and Health (NIOSH), Office of Mine Safety and Health Research (OMSHR), 626 Cochrans Mill Rd, Pittsburgh, PA 15236, United States.
Patrick YorioNational Institute for Occupational Safety and Health (NIOSH), Office of Mine Safety and Health Research (OMSHR), 626 Cochrans Mill Rd, Pittsburgh, PA 15236, United States.

Funding

Intramural CDC HHS CC999999
6 · The paper itself

Abstract

Complex arguments continue to be articulated regarding the theoretical foundation of health and safety management system (HSMS) performance measurement. The culmination of these efforts has begun to enhance a collective understanding. Despite this enhanced theoretical understanding, however, there are still continuing debates and little consensus. The goal of the current research effort was to empirically explore common methods to HSMS performance measurement in mining organizations. The purpose was to determine if value and insight could be added into the ongoing approaches of the best ways to engage in health and safety performance measurement. Nine site-level health and safety management professionals were provided with 133 practices corresponding to 20 HSMS elements, each fitting into the plan, do, check, act phases common to most HSMS. Participants were asked to supply detailed information as to how they (1) assess the performance of each practice in their organization, or (2) would assess each practice if it were an identified strategic imperative. Qualitative content analysis indicated that the approximately 1200 responses provided could be described and categorized into

Indexed as

Health and safety management systemLagging indicatorsLeading indicatorsMiningMultiple method measurementPerformance measurement

Identifiers

PMID26823642
PMCPMC4725603

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.