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Related Concept Videos

Data Collection II01:29

Data Collection II

10.4K
The nursing history captures and records the patient's health status, so that a care plan evolves to meet the patient's individual needs. The nursing health history is a part of the initial assessment. A comprehensive history covers all health dimensions and plays a significant role in the assessment process. A comprehensive history includes the patient's biographical information, reasons for seeking health care, expectations, present and past health history, medications, and...
10.4K
Nursing Assessment01:29

Nursing Assessment

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The two sources for collecting information are primary and secondary. After gathering information, interpretation and validation help to complete the data. The purpose of assessment is to establish data with the initial information, to interpret data about the patient's perceived needs and health problems, and to respond to these problems identified.
The nurse collects all aspects of the patient's health in the initial assessment, establishing priorities for ongoing focused assessments...
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Nursing Evaluation01:15

Nursing Evaluation

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The evaluation stage signals the end of the nursing process. The nurse gathers evaluative data to assess whether or not the patient has attained the expected results. Whereas the nurse collects data in the nursing assessment to identify the patient's health concerns, the evaluation stage data determines if the indicated health issues are resolved. Evaluative data collection includes two sections: the data acquired to evaluate patient outcomes and the time criteria for data collection.
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Data Validation01:03

Data Validation

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Data validation is an essential part of a comprehensive assessment. Validation is confirming or verifying and opening the door to gathering more assessment data as it clarifies vague or unclear data. The process of checking and verifying the collected information is called data validation. The primary purpose of data validation is to ensure data is as free from error, bias, and misinterpretation as possible.
Nursing assessment guides are generally based on holistic models rather than medical...
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Theoretical Foundations of Nursing Practice01:30

Theoretical Foundations of Nursing Practice

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Theories play an essential role in organizing patient care. Theories refer to a proposed or followed belief, policy, or procedure that is the basis for action. Nursing theories are knowledge-based concepts that guide nurses' actions, influence nursing education and practice, and allow nurses to care for their patients.
Theories provide a perspective to assess patients' conditions and organize data and methods. They also assist in analyzing and interpreting information. They represent a...
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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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Related Experiment Video

Updated: Mar 13, 2026

Transauricular Vagus Nerve Stimulation and Electroencephalographic Assessment in Disorders of Consciousness
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Transauricular Vagus Nerve Stimulation and Electroencephalographic Assessment in Disorders of Consciousness

Published on: July 11, 2025

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Explorative Analyses of Nursing Research Data.

Hyeoneui Kim1, Imho Jang1, Jimmy Quach1

  • 11 University of California San Diego, La Jolla, CA, USA.

Western Journal of Nursing Research
|October 28, 2016
PubMed
Summary
This summary is machine-generated.

Nursing research data characteristics were analyzed for Big Data science. Current metadata standards like bioCADDIE incompletely represent nursing data, highlighting the need for standardization.

Keywords:
Big Datadata interoperabilitydata reusabilitydata standardizationmetadata

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Area of Science:

  • Nursing
  • Health Informatics
  • Data Science

Background:

  • Advancing "Big Data science in nursing" requires understanding nursing research data characteristics.
  • Evaluating existing metadata specifications is crucial for data interoperability.

Purpose of the Study:

  • To describe the characteristics of nursing research data from 194 published studies.
  • To assess the completeness of the biomedical and healthCAre Data Discovery Index Ecosystem (bioCADDIE) Version 1 metadata specification in representing nursing data.

Main Methods:

  • Analysis of metadata from 194 published nursing studies.
  • Comparison of nursing study metadata against bioCADDIE Version 1 metadata entities.

Main Results:

  • Nursing studies reported 1,181 unique data items, predominantly non-numeric.
  • While nursing metadata related to bioCADDIE entities, many values were insufficiently represented.
  • Discrepancies arose from differing content scopes between nursing data and bioCADDIE metadata.

Conclusions:

  • The bioCADDIE metadata specification requires refinement to fully capture nursing research data.
  • Data standardization is essential for enabling integrative analyses and advancing Big Data science in nursing.