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Related Concept Videos

SBAR II: Application of SBAR01:14

SBAR II: Application of SBAR

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SBAR is an effective communication tool used by healthcare professionals to communicate patient information accurately. SBAR stands for Situation, Background, Assessment, and Recommendation. For a better understanding, an example is given below.
SBAR Report from a Nurse to a Health Care Provider
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Relative Risk01:12

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Relative risk (RR) is a statistical measure commonly used in epidemiology to compare the likelihood of a particular event occurring between two groups. This metric is important for evaluating the relationship between exposure to a specific risk factor and the probability of a particular outcome. It plays a crucial role in medical research, public health studies, and risk assessment. Relative risk quantifies how much more (or less) likely an event is to occur in an exposed group compared to an...
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Confounding is a critical issue in epidemiological studies, often leading to misleading conclusions about associations between exposures and outcomes. It occurs when the relationship between the exposure and the outcome is mixed with the effects of other factors that influence the outcome. Given that, addressing confounding is of high importance for drawing accurate inferences in research.
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Accurate blood pressure assessment is crucial for diagnosing and managing various health conditions. To ensure the reliability of these measurements, healthcare professionals must adhere to standardized pre-procedural guidelines. These guidelines enhance patient safety and improve the overall quality of healthcare. The following steps are essential for obtaining accurate and consistent blood pressure readings, from using the appropriate tools to ensuring effective communication with the...
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In analytical chemistry, we often perform repetitive measurements to detect and minimize inaccuracies caused by both determinate and indeterminate errors. Despite the cares we take, the presence of random errors means that repeated measurements almost never have exactly the same magnitude. The collective difference between these measurements - observed values - and the estimated or expected value is called uncertainty. Uncertainty is conventionally written after the estimated or expected value.
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Biases can arise at various stages of research, from study design and data collection to analysis and interpretation. Recognizing and addressing these biases is essential to ensure the validity and reliability of epidemiological findings.Broadly speaking, biases in epidemiology fall into three main categories: selection bias, information bias, and confounding. A more detailed description of possible biases is:  
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Related Experiment Video

Updated: Apr 27, 2026

The Resident-intruder Paradigm: A Standardized Test for Aggression, Violence and Social Stress
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Policymaking Under Uncertainty: Routine Screening for Intimate Partner Violence.

Rada K Dagher1, Mary A Garza2, Katy Backes Kozhimannil3

  • 1University of Maryland, College Park, USA rdagher1@umd.edu.

Violence Against Women
|July 12, 2014
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Summary

Intimate partner violence (IPV) affects millions of women. Policymakers need guidance on addressing IPV, considering conflicting recommendations and evidence gaps in research.

Keywords:
USPSTF recommendationsintimate partner violenceroutine screening

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Area of Science:

  • Public Health
  • Health Policy
  • Domestic Violence Research

Background:

  • Intimate partner violence (IPV) is a widespread public health concern impacting millions of women in the U.S.
  • Conflicting recommendations exist regarding routine IPV screening for women and adolescents.
  • Current evidence supporting policymaking for IPV prevention has limitations in study design.

Purpose of the Study:

  • To provide guidance to policymakers on addressing intimate partner violence.
  • To highlight discrepancies in recommendations for IPV screening.
  • To inform policy development despite existing evidence weaknesses.

Main Methods:

  • Review of existing recommendations from authoritative bodies (e.g., Institute of Medicine, U.S. Preventive Services Task Force).
  • Analysis of the current evidence base for IPV prevention and screening strategies.
  • Synthesis of information to guide policy decisions.

Main Results:

  • There is a conflict between the 2011 Institute of Medicine recommendations for routine IPV screening and the 2004 U.S. Preventive Services Task Force recommendations.
  • The evidence base for policymaking on IPV is weakened by limitations in study design.
  • There is a need for future research to address these evidence gaps.

Conclusions:

  • Policymakers must navigate conflicting recommendations and evidence limitations when addressing IPV.
  • Local needs assessments are crucial for developing appropriate IPV policies.
  • Recommendations for IPV prevention and intervention should be made considering the available evidence and local context.