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There are many research methods available to psychologists in their efforts to understand, describe, and explain behavior and the cognitive and biological processes that underlie it.

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Mystery in the Crib: An Interactive Case Study Experience.

Tara Wood, Curry Bordelon, Tedra Smith

Neonatal Network : NN

|August 24, 2022

Summary

This summary is machine-generated.

Neonatal nurse practitioner students improved critical thinking and collaboration skills through the "Mystery in the Crib" activity. This innovative approach enhances information synthesis and care planning for neonates.

Keywords:

NICU care critical thinking in nursing nursing education

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Area of Science:

Nursing Education
Neonatal Care
Clinical Reasoning

Background:

Nurses and nurse practitioners manage complex information in neonatal care.
Effective information processing, analysis, and collaboration are crucial skills.
A need exists for innovative educational strategies in neonatal nursing.

Purpose of the Study:

To evaluate the effectiveness of an innovative critical thinking activity, "Mystery in the Crib," for neonatal nurse practitioner students.
To assess the impact of the activity on students' ability to synthesize clinical data and collaborate.
To determine the adaptability of the activity for various learner levels and clinical settings.

Main Methods:

"Mystery in the Crib" activity involves presenting students with historical, diagnostic, and clinical data.
Students critically appraised information and collaborated to develop a plan of care.
Findings and care plans were presented by the students.

Main Results:

Students demonstrated enhanced synthesis of relevant clinical information.
The activity fostered effective collaboration among students.
Participants developed more comprehensive plans of care.

Conclusions:

"Mystery in the Crib" effectively enhances critical thinking and collaboration in neonatal nursing education.
The activity is adaptable for undergraduate students, clinical practice, and other specialties.
This innovative approach supports versatile application across different learning levels and disease processes.