Recently Added
CLEAR searches the existing literature for research relevant to this topic area's focus. Browse the most recently reviewed research below.
Displaying 31 - 40 of 64
Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of shape-coding and length-coding of roof-bolting machine levers on selection errors made when controlling the machines. The authors conducted three…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of a visual warning system on motion detection time. The study was an experiment conducted in a laboratory setting. The authors assessed whether…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Mine Safety and Health Administration (MSHA) Policy Part 46 on mine workers’ injury rates. The study used an interrupted time series design to…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of seat suspension systems on mine worker health and safety outcomes. The study was a randomized controlled trial conducted in a laboratory setting.…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of virtual mine rescue training on mine rescue process efficacy. Using survey data, the authors used an interrupted time series design to compare mine…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of three different historical U.S. radon exposure standards on lung cancer mortality. The author used statistical models and data from the Colorado…Study Type: Causal Impact Analysis
The study’s objective was to examine differences in hospital worker exposures to ethylene oxide (EtO) after the implementation of the 1984 and 1988 OSHA EtO standards. The authors used a random…Study Type: Causal Impact Analysis
The study examined the impact of contingency management (CM) on employment and health outcomes. The authors conducted a randomized controlled trial, using a work history form and drug and alcohol…Study Type: Causal Impact Analysis
The study’s objective was to determine the impact of inspections and consultations by Washington State’s Department of Occupational Safety and Health (DOSH) on workers’ compensation claim rates and…Study Type: Causal Impact Analysis
The study’s objective was to examine the effect of random OSHA inspections on firms’ injury-related outcomes and performance. To do this, the authors used a regression model to compare changes over…
CLEAR Icon Key
Below is a key for icons used to indicate important details about a study, such as its type, evidence rating, and outcome findings.
High Causal Evidence
Strong evidence the effects are caused by the examined intervention.
Moderate Causal Evidence
Evidence that the effects are caused to some degree by the examined intervention.
Low Causal Evidence
Little evidence that the effects are caused by the examined intervention.
Causal Impact Analysis
Uses quantitative methods to assess the effectiveness of a program, policy, or intervention.
Descriptive Analysis
Describes a program, policy, or intervention using qualitative or quantitative methods.
Implementation Analysis
Examines the implementation of a program, policy, or intervention.
Favorable
The study found at least one favorable impact in the outcome domain, and no unfavorable impacts.
Mixed
The study found some favorable and some unfavorable impacts in the outcome domain.
None
The study found no statistically significant impacts in the outcome domain.
Unfavorable
The study found at least one unfavorable impact in the outcome domain, and no favorable impacts.
Not applicable
Not applicable because no outcomes were examined in the outcome domain.
Favorable - low evidence
The study found at least one favorable impact in the outcome domain, and no unfavorable impacts. The study received a low causal evidence ratings so these findings should be interpreted with caution.
Mixed - low evidence
The study found some favorable and some unfavorable impacts in the outcome domain. The study received a low causal evidence ratings so these findings should be interpreted with caution.
None - low evidence
The study found no statistically significant impacts in the outcome domain. The study received a low causal evidence ratings so these findings should be interpreted with caution.
Unfavorable - low evidence
The study found at least one unfavorable impact in the outcome domain, and no favorable impacts. The study received a low causal evidence ratings so these findings should be interpreted with caution.