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Related Concept Videos

Data Collection I01:30

Data Collection I

8.9K
Data collection gathers information needed to make accurate judgments about a patient's present condition. During a health history interview, subjective data is collected from the patient, their caregivers, or family members, and objective data is collected through observations and physical assessment. Patients are the primary source of subjective data. Thus information gathered from patients through interviews, observations, and physical examination is primary data. Secondary sources of...
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Principles of Disease Surveillance01:26

Principles of Disease Surveillance

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Disease surveillance is the systematic collection, analysis, and interpretation of health data essential to the planning, implementation, and evaluation of public health practice. This process integrates data dissemination to entities responsible for preventing and controlling disease, injury, and disability. Surveillance systems provide crucial information for action, helping public health authorities make informed decisions to manage and prevent outbreaks, ensure public safety, optimize...
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Data Reporting and Recording01:24

Data Reporting and Recording

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Reporting and recording are crucial in data documentation. The timely, thorough, and accurate documentation of facts is essential when recording patient data. Failure to record findings during an assessment or interpretation of a problem will result in loss of information and make the patient document unreliable. The reader is left with general impressions if the information is not specific. A recording is documenting data of the individual's health information in a traceable, secure, and...
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The Scientific Method in Nursing Process01:18

The Scientific Method in Nursing Process

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The scientific method provides the foundation for any research. It is the most reliable and objective of all forms of gaining knowledge and guides in applying research-based evidence in practice and conducting future research.
When using research findings to change practice, one must understand the process used to guide a study. The scientific method is a systematic, step-by-step process that supports the data's validity, reliability, and generalizability. As a result, findings can be...
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Data Collection III01:05

Data Collection III

4.8K
The physical assessment examines the patient for objective data that defines the patient's condition, and aids in formulating the nursing care plan. The purpose of physical assessment is a health status appraisal, which includes identifying health problems, and establishing a database for nursing intervention.
The principles to begin the physical assessment include conducting a comprehensive or problem-related history in a quiet, well-lit room, emphasizing privacy and comfort for the...
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Methods of Documentation III: PIE01:21

Methods of Documentation III: PIE

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Problem-intervention-evaluation (PIE) is a systematic approach to documentation used in healthcare settings for clinical decision-making and patient care planning. It is a structured approach to organizing patient data based on problems, interventions, and evaluations. Here's a breakdown of its key features and considerations:
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Advancing Symptom Science Through Use of Common Data Elements.

Nancy S Redeker1, Ruth Anderson2, Suzanne Bakken3

  • 1Beatrice Renfield Term Professor of Nursing, Yale School of Nursing, New Haven, CT, USA.

Journal of Nursing Scholarship : an Official Publication of Sigma Theta Tau International Honor Society of Nursing
|August 8, 2015
PubMed
Summary
This summary is machine-generated.

Common data elements (CDEs) are crucial for symptom science research. This study identified a minimum set of CDEs for measuring symptoms like pain and fatigue, enabling cross-study comparisons.

Keywords:
Cognitionfatiguemoodpainsleep disturbancesymptom management

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Area of Science:

  • Symptom science research
  • Standardization of data collection in healthcare

Background:

  • Common data elements (CDEs) enable cross-study data comparison.
  • Systematic use of CDEs is underdeveloped in symptom science.
  • CDEs are vital for studying common symptoms and intervention outcomes across diverse populations.

Purpose of the Study:

  • Recommend best practices for CDEs in symptom science.
  • Evaluate benefits and challenges of CDEs for symptom science.
  • Propose CDEs for symptom science and suggest future research directions.

Main Methods:

  • Directors of NINR-supported centers identified CDEs.
  • Best practices, expert advice, and literature informed CDE selection.
  • CDEs were chosen to measure pain, sleep, fatigue, and cognitive/affective symptoms.

Main Results:

  • A minimum set of CDEs for symptom measurement was generated.
  • These CDEs will be implemented across NINR Centers.

Conclusions:

  • Identified CDEs will facilitate symptom comparison across studies.
  • Future work will expand and refine the list of symptom CDEs.
  • CDEs will advance nursing research for improved symptom management.