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Related Concept Videos

Decision Making01:20

Decision Making

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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.
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Decision Making: P-value Method01:09

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The process of hypothesis testing based on the P-value method includes calculating the P- value using the sample data and interpreting it.
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Characteristics of Practical Op Amps01:16

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A difference amplifier, a crucial component in numerous electronic devices, ideally amplifies only the difference-mode signal, which is the difference between two input signals. However, in practical circuits, the output voltage depends on both the differential gain and the common-mode gain.
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Decision Making: Traditional Method01:14

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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.
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The practical equivalent circuits of single-phase two-winding transformers exhibit significant deviations from their idealized versions due to the inherent properties of winding resistance and finite core permeability. These properties result in real and reactive power losses, affecting the transformer's performance. Understanding these deviations is crucial for designing more efficient transformers.
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Development and Implementation of a Multi-Disciplinary Technology Enhanced Care Pathway for Youth and Adults with Concussion
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Multi-disciplinary decision making in general practice.

Ann Kirby1, Aileen Murphy1, Colin Bradley2

  • 1Department of Economics, Cork University Business School, University College Cork , Cork, Ireland.

Journal of Health Organization and Management
|April 7, 2018
PubMed
Summary
This summary is machine-generated.

Multidisciplinary decision-making in switching oral anticoagulants (OACs) for atrial fibrillation (AF) patients is not standard practice in Ireland. Female GPs and those initiating OACs are more likely to engage in this collaborative approach.

Keywords:
Decision makingGeneral practitionersHealthcarePharmaceuticals

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Area of Science:

  • Cardiology
  • General Practice
  • Health Services Research

Background:

  • Healthcare systems globally are integrating care, emphasizing multidisciplinary decision-making, particularly for Atrial Fibrillation (AF) management per European Society of Cardiology guidelines.
  • The advent of new oral anticoagulants (OACs) has increased the prevalence of switching between these agents, necessitating careful consideration of treatment decisions.

Purpose of the Study:

  • To investigate Irish General Practitioners' (GPs) experiences with switching OACs in AF patients.
  • To assess the prevalence of multidisciplinary decision-making in OAC switching.
  • To identify GP characteristics influencing the likelihood of engaging in multidisciplinary decision-making.

Main Methods:

  • A probit model was employed to analyze factors influencing multidisciplinary decision-making.
  • A multinomial logit model examined factors affecting the composition of multidisciplinary teams.

Main Results:

  • Multidisciplinary decision-making occurred in 64% of cases but is not yet standard practice, despite guidelines.
  • Patient participation in OAC switching decisions was notably lacking.
  • Female GPs and those who initiated OAC prescriptions were more inclined towards multidisciplinary decision-making.
  • GPs in training practices showed less engagement with cardiac consultants, while urban GPs were more likely to consult non-cardiac specialists.

Conclusions:

  • Current practices fall short of the integrated care model recommended for OAC switching in AF patients.
  • Enhancing patient involvement in decision-making is crucial.
  • Understanding GP characteristics can help promote optimal, multidisciplinary approaches to improve treatment outcomes and reduce decision-making errors.