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Related Concept Videos

Decision Making: P-value Method01:09

Decision Making: P-value Method

The process of hypothesis testing based on the P-value method includes calculating the P- value using the sample data and interpreting it.
First, a specific claim about the population parameter is proposed. The claim is based on the research question and is stated in a simple form. Further, an opposing statement to the claim  is also stated. These statements can act as null and alternative hypotheses:  a null hypothesis would be a neutral statement while the alternative hypothesis can have a...
Decision Making: Traditional Method01:14

Decision Making: Traditional Method

The process of hypothesis testing based on the traditional method includes calculating the critical value, testing the value of the test statistic using the sample data, and interpreting these values.
First, a specific claim about the population parameter is decided based on the research question and is stated in a simple form. Further, an opposing statement to this claim is also stated. These statements can act as null and alternative hypotheses, out of which a null hypothesis would be a...
Issues And Trends In Healthcare Delivery System01:29

Issues And Trends In Healthcare Delivery System

The issues and trends in healthcare delivery are constantly changing. The COVID-19 pandemic is one recent issue that wreaked havoc on healthcare systems, causing a shortage of healthcare workers, high demand for medicines and supplies, and increased medical expenditure due to a lack of insurance. Other issues include rising healthcare costs and care fragmentation.
Cost Containment
Payment for healthcare services has historically promoted adoption of costly and often unnecessary or inefficient...
Ethical Dilemmas II01:30

Ethical Dilemmas II

Resolving an ethical dilemma in healthcare involves a systematic approach that considers every aspect of the issue, respecting both the patient's needs and values and the healthcare professional's ethical obligations. Here are potential steps to resolve an ethical dilemma:
Impact of Pharmacokinetic–Pharmacodynamic Models: Regulatory Decisions01:15

Impact of Pharmacokinetic–Pharmacodynamic Models: Regulatory Decisions

PK–PD modeling has significantly influenced FDA regulatory decisions, particularly drug approval, dosage optimization, and labeling. These models integrate pharmacokinetics (PK) and pharmacodynamics (PD) to predict drug behavior and effects, aiding in optimizing dosing regimens and enhancing the probability of clinical trial success.One notable example is Nesiritide (Natrecor®), a recombinant human brain natriuretic peptide for treating acute decompensated congestive heart failure (CHF).
Decision Making01:20

Decision Making

Decision-making is a fundamental cognitive process that involves evaluating alternatives and selecting among them. This process can range from simple choices, such as deciding what to wear, to complex decisions, like choosing a major in college or a career path. The complexity of the decision often dictates the approach we use, which can be broadly categorized into two types: automatic and controlled decision-making.
Automatic decision-making is fast, intuitive, and relies on gut feelings...

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Related Experiment Video

Updated: May 14, 2026

A Novel Method for Involving Women of Color at High Risk for Preterm Birth in Research Priority Setting
14:43

A Novel Method for Involving Women of Color at High Risk for Preterm Birth in Research Priority Setting

Published on: January 12, 2018

Insights from a conference on implementing comparative effectiveness research through shared decision-making.

Mary C Politi, Marla L Clayman, Angela Fagerlin

    Journal of Comparative Effectiveness Research
    |February 23, 2013
    PubMed
    Summary

    Comparative Effectiveness Research (CER) and Shared Decision-Making (SDM) can improve patient care. Implementing CER findings into practice requires collaboration to overcome challenges and integrate evidence with patient preferences.

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    Published on: February 19, 2021

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    Last Updated: May 14, 2026

    A Novel Method for Involving Women of Color at High Risk for Preterm Birth in Research Priority Setting
    14:43

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    Published on: January 12, 2018

    The Participant-Reported Implementation Update and Score (PRIUS): A Novel Method for Capturing Implementation-Related Data Over Time
    06:05

    The Participant-Reported Implementation Update and Score (PRIUS): A Novel Method for Capturing Implementation-Related Data Over Time

    Published on: February 19, 2021

    Area of Science:

    • Health Services Research
    • Clinical Decision-Making
    • Evidence-Based Practice

    Background:

    • Shared Decision-Making (SDM) facilitates patient-clinician discussions on health choices, balancing evidence with patient preferences.
    • Comparative Effectiveness Research (CER) rigorously compares intervention benefits and risks in real-world settings, focusing on patient-centered outcomes.
    • Integrating CER findings into clinical practice faces significant implementation challenges.

    Purpose of the Study:

    • To foster a research network focused on implementing Comparative Effectiveness Research (CER) through Shared Decision-Making (SDM).
    • To discuss conceptual links, practical challenges, and strategies for integrating CER and SDM in clinical settings.
    • To identify avenues for disseminating research on the implementation of CER through SDM.

    Main Methods:

    • A conference was convened in March 2012 at Washington University in St. Louis.
    • Attendees discussed conceptual similarities and differences between CER and SDM.
    • Key challenges and potential solutions for implementing CER and SDM were explored, including strategies for unique populations.

    Main Results:

    • CER and SDM are complementary processes emphasizing clinical evidence application to real-world patient care.
    • SDM offers a platform for clinicians to discuss CER findings and manage evidence uncertainty with patients.
    • The meeting identified critical implementation challenges and suggested future research directions.

    Conclusions:

    • Collaboration is essential for developing, conducting, and disseminating research on CER implementation via SDM.
    • Addressing challenges in implementing CER and SDM is crucial for routine clinical practice integration.
    • Further research is needed to bridge the gap between CER findings and their application through SDM in patient care.