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Data Collection II01:29

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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...
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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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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.
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The nursing process provides a clinical decision-making framework for patients and families to establish and implement a personalized care plan. Since part of the nurse's duties is to teach patients, the steps of the nursing process are the most effective way to approach instruction. The nursing process and the teaching-learning process are inextricably linked.
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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.
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Data collection is a systematic method of obtaining, observing, measuring, and analyzing accurate information. An experimental study is a standard method of data collection that involves the manipulation of the samples by applying some form of treatment prior to data collection. It refers to manipulating one variable to determine its changes on another variable. The sample subjected to treatment is known as “experimental units.”
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The Doctor of Nursing Practice Project Data Collection Tool: A Teaching Strategy for Data Collection.

Bonnie B Benetato1, Jan Tillman, Robin Webb Corbett

  • 1About the Authors The authors are faculty at East Carolina University College of Nursing, Greenville, North Carolina. Bonnie B. Benetato, PhD, MBA, FNP-BC, is a clinical associate professor. Jan Tillman, DNP, RN, FNP-BC, is a clinical associate professor. Robin Webb Corbett, PhD, FNP-C, RNC, is an associate professor. Alexis Hodges, DNP, RN, FNP-C, is a clinical assistant professor. For more information, contact Dr. Benetato at bonnie.benetato@gmail.com.

Nursing Education Perspectives
|March 21, 2020
PubMed
Summary
This summary is machine-generated.

A new Doctor of Nursing Practice (DNP) Project Data Collection Tool aids students in gathering data and analyzing outcomes for their DNP projects. This tool supports evidence-based interventions and enhances student success in addressing complex healthcare issues.

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Area of Science:

  • Nursing Education
  • Evidence-Based Practice
  • Healthcare Systems

Background:

  • The Doctor of Nursing Practice (DNP) project is a capstone experience requiring students to apply evidence-based interventions to complex practice problems.
  • Effective data collection and outcome analysis are crucial for evaluating the success of DNP projects.
  • Existing tools may not adequately support the unique needs of DNP project development and evaluation.

Purpose of the Study:

  • To introduce and describe the DNP Project Data Collection Tool.
  • To present the tool as a teaching strategy and project-specific guide for faculty and students.
  • To evaluate the tool's utility and impact on student success in DNP project development.

Main Methods:

  • Development of a structured data collection tool tailored for DNP projects.
  • Integration of the tool into the DNP project development process.
  • Student evaluation of the tool's usability and effectiveness.

Main Results:

  • The DNP Project Data Collection Tool provides a clear framework for data collection and outcome analysis.
  • Students reported the tool as beneficial for guiding their project development and enhancing understanding of outcome evaluation.
  • The tool serves as a practical model for faculty and students in DNP project planning.

Conclusions:

  • The DNP Project Data Collection Tool is an effective resource for supporting student success in DNP projects.
  • The tool facilitates rigorous data collection and outcome analysis, essential for evidence-based practice.
  • This tool can be widely adopted to enhance DNP education and project completion.