Health and safety-Low-Favorable impacts

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Displaying 11 - 20 of 32

The impact of lifestyle modification on cardiometabolic risk factors in health-care employees with type 2 diabetes (Das et al. 2019)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study's objective was to examine the impact of My Unlimited Potential, a lifestyle modification intervention, on cardiometabolic risk factors including body mass index (BMI) and glycated…
The impact of enhanced incentives on vocational rehabilitation outcomes for dually diagnosed veterans (Drebing et al. 2005)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study examined the impact of enhanced incentives within an existing Veteran’s Administration (VA) Compensated Work Therapy (CWT) program on sustained abstinence from substances, transitioning to…
Implementation of risk management programs: Identification of best practices to reduce injuries and maximize economic benefits (Burgess 2016)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study’s objective was to examine the impact of risk management practices on mine worker health and safety outcomes. The study used a nonexperimental design to compare the differences in 25-year…
The Mining Healthy Worksite Program (Cherniack 2016)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study’s objective was to examine the impact of the Mining Healthy Worksite Program (MHWP) on mine worker health and safety outcomes. The study used a nonexperimental design to assess self-…
Evaluation of automated vs. manual bagger exposures related to ergonomics, dust, and noise at a sand mine processing plant (Wilson 2015)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study’s objective was to examine the impact of an automated bagging system on mine worker health and safety outcomes. Using data from a sand mining plant, the author used an interrupted time…
Shape-coding and length-coding as a measure to reduce the probability of selection errors during the control of industrial equipment (Steiner & Burgess-Limerick 2013)
Study Type: Causal Impact Analysis
Causal Evidence Rating: High Causal Evidence
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…
An impact evaluation of a federal mine safety training regulation on injury rates among US stone, sand, and gravel mine workers: An interrupted time-series analysis (Monforton & Windsor 2010)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
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…
Assessing the effects of virtual emergency training on mine rescue team efficacy (Hoebbel et al. 2015)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
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…
The impact of regulatory enforcement and consultation visits on workers’ compensation claims incidence rates and costs (Foley et al. 2012)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
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…
A new estimate of the impact of OSHA inspections on manufacturing injury rates, 1998-2005 (Haviland et al. 2012)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study’s objective was to determine the effect of OSHA inspections on injuries in single-facility manufacturing firms in Pennsylvania between 1998 and 2005. The study used a regression model to…

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.