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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.
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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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Development and Validation of the Family and Community Nursing Advanced Practice Scale.

John Unsworth1,2, Crystal Oldman3, Joanne Atkinson4

  • 1Department of Nursing, Midwifery and Health, Faculty of Health and Life Sciences, Northumbria University, Newcastle upon Tyne, UK.

Journal of Clinical Nursing
|January 20, 2025
PubMed
Summary

A new scale was developed to measure advanced practice in family and community nursing. The scale shows good reliability and validity, highlighting five key domains of advanced practice nursing.

Keywords:
advanced practice nursingcommunityfamily nursingrolesscope of practice

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Area of Science:

  • Nursing Science
  • Advanced Practice Nursing
  • Health Services Research

Background:

  • The scope of advanced practice nursing roles in family and community settings requires clear definition and measurement.
  • Existing instruments may not adequately capture the multifaceted nature of advanced practice in these diverse contexts.

Purpose of the Study:

  • To develop and psychometrically test a robust scale for assessing advanced practice in family and community nursing.
  • To establish the construct validity, content validity, and internal consistency reliability of the new scale.

Main Methods:

  • A methodological scale validation design using classical test theory.
  • A three-phase study involving item generation, content validity index assessment, and a cross-sectional survey.
  • Exploratory and confirmatory factor analysis were employed to establish construct validity.

Main Results:

  • The developed Family and Community Nursing-Advanced Practice Scale demonstrated good construct validity, comprising 5 domains and 27 items.
  • The scale exhibited excellent internal consistency reliability, with a high Cronbach's Alpha.
  • Advanced practice nurses in family practice scored higher in clinical reasoning and health promotion compared to community nurses, who excelled in leading practice within wider teams.

Conclusions:

  • The Family and Community Nursing-Advanced Practice Scale is a psychometrically sound instrument for evaluating advanced practice nursing.
  • The scale identified five core domains of advanced practice: clinical care, leading practice, clinical reasoning, health promotion, and ethics.
  • Advanced practice roles in family and community settings are largely similar, with minor differences in specific activities like research engagement.