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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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Implementation Degree Assessment Sheet for Health Program in Japan by Customizing CFIR: Development and Validation.

Reiko Okamoto1, Masako Kageyama2, Keiko Koide2

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Summary

This study developed the Implementation Degree Assessment Sheet (IDAS) to evaluate public health program implementation in Japan. The IDAS demonstrates strong reliability and validity for assessing nursing capacity and improving health programs.

Keywords:
Administrative health programAssessment toolConsolidated Framework for Implementation Research (CFIR)Implementation scienceMeasurementPublic health nurse

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Area of Science:

  • Public Health Nursing
  • Health Program Implementation Science
  • Health Services Research

Background:

  • Over 70% of Japanese public health nurses work for government agencies.
  • There is a recognized need for evidence-based capacity development in public health program implementation.
  • Existing frameworks require adaptation for specific national contexts like Japan.

Purpose of the Study:

  • To develop an Implementation Degree Assessment Sheet (IDAS).
  • To customize the Consolidated Framework for Implementation Research (CFIR) for Japanese health programs.
  • To create a tool for assessing implementation capacity in public health nursing.

Main Methods:

  • Customization of the CFIR into a draft IDAS with five domains and 31 constructs.
  • Refinement of the IDAS through researcher review and pre-testing.
  • Anonymous, mail-administered questionnaire survey of public health nurses across Japan.

Main Results:

  • A response rate of 73.4% from 702 valid questionnaires.
  • Confirmatory factor analysis indicated sufficient model fit after modification.
  • High reliability (Cronbach's alpha > 0.8, Spearman-Brown 0.95) and validity (criterion-related, known-groups) were confirmed.
  • Correlation with research utilization competency (r=0.51, p<0.001).

Conclusions:

  • The developed IDAS possesses consistent reliability and validity.
  • The IDAS is suitable for assessing the implementation degree of health programs.
  • Promoting capacity development based on IDAS findings is crucial for public health nurses and related professions.