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Data Needs and Availability for Specialty Certification Research: A Call to Action.

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This summary is machine-generated.

Specialty nurse certification data is often duplicated and inconsistently verified, hindering research on its value. Improving data standards is crucial for advancing evidence-based nursing practice.

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Area of Science:

  • Nursing
  • Healthcare Informatics
  • Health Services Research

Background:

  • Research on nurse certification and patient outcomes is limited by data quality issues.
  • Individual-level certification data accuracy, completeness, and availability are significant concerns.
  • There is a need to assess data elements and processes to establish robust certification data standards.

Purpose of the Study:

  • To evaluate the scope and accessibility of certification data for research.
  • To identify challenges in using specialty nurse certification data for studies.
  • To inform the development of recommendations for certification data standards.

Main Methods:

  • Electronic surveys were distributed to practice settings employing certified nurses and certifying organizations.
  • Data were collected on certification-related data elements, processes, and accessibility.
  • 136 surveys were returned and analyzed.

Main Results:

  • Certification data are collected in many practice settings, but processes are often duplicative.
  • Data are stored across multiple systems, with inconsistent collection intervals and verification.
  • Accessibility of certification data for research purposes presents a significant challenge.

Conclusions:

  • Key findings highlight issues with data duplication, storage, accuracy, and accessibility.
  • Recommendations were developed to address the identified challenges in certification data management.
  • Improving data standards is essential for future research on the value of nurse certification.