Health and safety-Low-Favorable impacts

Recently Added

CLEAR searches the existing literature for research relevant to this topic area's focus. Browse the most recently reviewed research below.

Search
for studies on
this topic using
keywords
and filters

Displaying 1 - 10 of 55

Every breath you take: Incorporating a yoga and mindfulness intervention into a new nurse residency program (Doctoral dissertation, The University of North Carolina at Chapel Hill) (Presler, 2020)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study's objective was to examine the impact of a yoga and mindfulness intervention on health outcomes.The study used an interrupted time series design to compare reported stress levels of…
12-month Workplace Corrective Exercise Program Effects on FMS Score and Asymmetries in Industrial Workers (Publication No. 27832408) (Tran, 2020)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study’s objective was to examine the impact of a workplace corrective exercise program (CEP) on health outcomes.The author used an interrupted time series design to compare health outcomes before…
A training intervention to improve frontline construction leaders' safety leadership practices and overall jobsite safety climate (Schwatka et al., 2019)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study’s objective was to examine the impact of Foundations for Safety Leadership (FSL) training on supervisors’ leadership skills and jobsite safety practices of workers in a set of construction…
Improving health and economic security by reducing work schedule uncertainty (Harknett et al., 2021)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study's objective was to examine the impact of Seattle's Secure Scheduling ordinance on worker health and safety.The study used a nonexperimental design to compare outcomes between hourly workers…
Are plumbing apprentice graduates safer than their non-apprentice peers? Workers' compensation claims among journey level plumbers by apprenticeship participation (Wuellner & Bonauto, 2022)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study's objective was to examine the impact of plumbing apprenticeship programs on occupational health and safety among journey level plumbers.The authors used a statistical model to compare the…
Compensatory cognitive training for people with severe mental illnesses in supported employment: A randomized controlled trial (Twamley et al., 2019)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study’s objective was to examine the impact of Compensatory Cognitive Training (CCT) on attaining competitive employment, weeks worked, wages earned, mental illness symptom severity, and…
Health Profession Opportunity Grants (HPOG 1.0) impact study: Three-year impacts report (Peck et al. 2019)
Study Type: Causal Impact Analysis
Causal Evidence Rating: High Causal Evidence
The study’s objective was to examine the impact of Health Profession Opportunity Grants (HPOG) on employment, education, earnings, and public benefit receipt three years after participants were…
Mental Health Treatment Study (Frey et al. 2011)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Moderate Causal Evidence
The study’s objective was to examine the impact of the Mental Health Treatment Study (MHTS), which provided supported employment services to Social Security Disability Insurance (SSDI) recipients…
Effects of Computerized Cognitive Behavioral Therapy and Mindfulness Based Mobile App on Job Stress and Anxiety in Active-Duty Military Students (Publication No. 28263169) [Doctoral dissertation, Hampton University] (Rhine, 2020)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study's objective was to examine the impact of Computerized Cognitive Behavioral Therapy (CCBT) and Mindfulness-Based Mobile Applications (MBMA) on health outcomes. This profile focuses on the…
Effects of Computerized Cognitive Behavioral Therapy and Mindfulness Based Mobile App on Job Stress and Anxiety in Active-Duty Military Students (Publication No. 28263169) [Doctoral dissertation, Hampton University] (Rhine, 2020)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study's objective was to examine the impact of Computerized Cognitive Behavioral Therapy (CCBT) and Mindfulness-Based Mobile Applications (MBMA) on health outcomes. This profile focuses on the…

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.