Causal Impact Analysis

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Displaying 311 - 320 of 1084

The use of proactive risk management to reduce emergency service vehicle crashes among firefighters (Bui et al. 2019)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study's objective was to examine the impact of using a risk management process on the fire department’s average monthly crash rate and crash rate trends overall, as well as on rates and…
The effect of a teamwork intervention on staff perception of teamwork and patient care on a medical surgical unit (Marguet & Ogaz 2019)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study’s objective was to examine the impact of a teamwork intervention on participants’ job satisfaction, perceived level of teamwork at work, and satisfaction with the perceived level of…
Optimizing screening, brief intervention, and referral to treatment (SBIRT) training for nurses and social workers: Testing the added effect of online patient simulation (O’Brien et al. 2019)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study examined the impact of an online patient simulation (OPS) for screening, brief intervention, and referral to treatment (SBIRT) on nursing and social work college students’ attitudes,…
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…
Can sector strategies promote longer-term effects? Three-year impacts from the WorkAdvance demonstration (Schaberg 2017)
Study Type: Causal Impact Analysis
Causal Evidence Rating: High Causal Evidence
The study's objective was to examine the impact of the WorkAdvance sectoral training program on year three employment and earnings outcomes. This profile focuses on the evaluation at the Towards…
Can sector strategies promote longer-term effects? Three-year impacts from the WorkAdvance demonstration (Schaberg 2017)
Study Type: Causal Impact Analysis
Causal Evidence Rating: High Causal Evidence
The study's objective was to examine the impact of the WorkAdvance sectoral training program on year three employment and earnings outcomes. This profile focuses on the evaluation at the Per…
GAIN: Program strategies, participation patterns, and first-year impacts in six counties: California’s greater avenues for independence program (Riccio & Friedlander 1992)
Study Type: Causal Impact Analysis
Causal Evidence Rating: High Causal Evidence
The study's objective was to examine the impact of the Greater Avenues for Independence (GAIN) program on employment, earnings, and public benefits receipt. This profile focuses on the outcomes for…
GAIN: Program strategies, participation patterns, and first-year impacts in six counties: California’s greater avenues for independence program (Riccio & Friedlander 1992)
Study Type: Causal Impact Analysis
Causal Evidence Rating: High Causal Evidence
The study's objective was to examine the impact of the Greater Avenues for Independence (GAIN) program on employment, earnings, and public benefits receipt. This profile focuses on the outcomes for…
Engaging young men involved in Chicago's justice system: A feasibility study of the Bridges to Pathways Program (Wasserman et al. 2019)
Study Type: Causal Impact Analysis
Causal Evidence Rating: High Causal Evidence
The study's objective was to examine the impact of Bridges to Pathways (Bridges) on earnings, employment, and education outcomes. The study is a randomized controlled trial that randomly assigned…
Evaluating two approaches to case management: Implementation, participation patterns, costs, and three-year impacts of the Columbus Welfare-to-Work Program (Scrivener & Walter 2001)
Study Type: Causal Impact Analysis
Causal Evidence Rating: High Causal Evidence
The study's objective was to examine the impact of case management approaches on employment, earnings, and public benefits receipt. This profile focuses on the comparison of participants in 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.