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Related Concept Videos

Assessment of Respiration01:23

Assessment of Respiration

The respiratory system's basic structures and primary functions lay the foundation for nurses' comprehensive respiratory assessments. This assessment includes subjective and objective data to gauge the patient's respiratory health.
Subjective Assessment: Nurses interview the patient to gather information directly during the subjective assessment. It includes questions about the individual's medical history, medications, and symptoms, focusing on past respiratory conditions like asthma or COPD,...
Assessment of Airway, Skin Color, and Use of Accessory Muscles01:30

Assessment of Airway, Skin Color, and Use of Accessory Muscles

A thorough assessment of respiratory health is paramount in clinical settings to identify and manage respiratory distress and ensure adequate oxygenation. This article elaborates on the critical aspects of respiratory evaluation, including airway assessment, skin color examination, and the observation of accessory muscle use, which are integral to effectively diagnosing and managing patients with respiratory conditions.
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The initial evaluation of a patient's respiratory system...
Methods of Documentation V: CBE01:23

Methods of Documentation V: CBE

Charting by Exception, or CBE, is a method of documentation used in healthcare, particularly in nursing, that focuses on documenting only significant or abnormal findings rather than recording every detail. This approach aims to streamline the documentation process, improve efficiency, and ensure that healthcare providers can quickly identify deviations from normalcy in patient assessments.
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Methods of Documentation VI: Case Management Model01:15

Methods of Documentation VI: Case Management Model

The case management model is a multidisciplinary approach that involves healthcare professionals from diverse disciplines, such as physicians, nurses, therapists, social workers, and pharmacists, working collaboratively to address the various needs of patients. Each healthcare professional brings unique expertise and perspectives, contributing to a more comprehensive understanding of the patient's condition and tailoring treatment plans accordingly.
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Assessment of apical pulse01:17

Assessment of apical pulse

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Ethical Dilemmas I01:17

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Related Experiment Video

Updated: Jun 25, 2026

Measuring Psoriasis Severity at Home
02:28

Measuring Psoriasis Severity at Home

Published on: March 1, 2024

Examining agreement between clinicians when assessing sick children.

John Wagai1, John Senga, Greg Fegan

  • 1Child and Newborn Health Group, Centre for Geographic Medicine, Kenyan Medical Research Institute-Wellcome Trust Programme, Nairobi, Kenya. jwagai@nairobi.kemri-wellcome.org

Plos One
|February 28, 2009
PubMed
Summary

Video assessments of clinical signs show high agreement among Kenyan health workers and experts for clear-cut cases, supporting the use of guidelines. However, interpretation challenges remain for less obvious signs.

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Published on: June 20, 2020

Area of Science:

  • Global Health
  • Medical Education
  • Clinical Diagnostics

Background:

  • Current case management guidelines for childhood diseases in low-resource settings rely on limited clinical features.
  • Assessing agreement on clinical signs using video records is crucial for guideline development and implementation.

Purpose of the Study:

  • To evaluate inter-observer agreement among experts on clinical signs of childhood diseases using video records.
  • To determine if Kenyan health workers can accurately identify clinical signs as defined by expert consensus.

Main Methods:

  • 104 videos across 11 clinical sign categories were assessed by experts via web questionnaire.
  • Agreement was quantified using kappa and AC1 statistics.
  • 31 videos were presented to Kenyan health workers to assess recognition of expert-agreed and disagreed signs.

Main Results:

  • Experts achieved high chance-adjusted agreement on many clinical signs, but consensus was lacking for some.
  • Kenyan health workers demonstrated high sensitivity (0.897-0.975) and specificity (0.813-0.894) when recognizing expert-agreed signs.
  • Health workers' agreement mirrored expert consensus; they did not agree on signs where experts lacked consensus.

Conclusions:

  • Video recordings are effective for assessing agreement on clinical signs among geographically dispersed health workers.
  • High agreement between Kenyan health workers and experts on clear-cut signs supports the utility of standardized assessment and management guidelines.
  • The study highlights the need for clearer definitions and training for ambiguous clinical signs to improve diagnostic consistency.