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Investigating nursing documentation quality using Q-DIO: A multilevel regression analysis.

Laura Elena Gligor1, Horațiu Rusu2, Carmen Daniela Domnariu3

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Summary
This summary is machine-generated.

Nursing documentation quality in Romania is influenced by the thoroughness of the nursing process and organizational factors like nurse staffing and hospital specialty. Addressing all documentation phases is key for better patient outcomes.

Keywords:
Q‐DIO instrumentadvanced nursing processmultilevel logistic regression analysisnursing processpaper‐based nursing documentation

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Area of Science:

  • Nursing Research
  • Health Informatics
  • Quality Improvement

Background:

  • Effective nursing documentation (NDoc) is crucial for patient care continuity and outcomes.
  • Understanding factors influencing NDoc completion quality is essential for improving healthcare standards.
  • Romania's healthcare system context requires specific investigation into NDoc practices.

Purpose of the Study:

  • To investigate factors influencing the completion quality of nursing documentation (NDoc) in Romania.
  • To utilize multilevel modeling to analyze NDoc quality determinants.
  • To identify key elements within the nursing process and external factors affecting NDoc.

Main Methods:

  • A retrospective descriptive study design was employed.
  • Mixed-effect logistic regression analysis was used to identify influencing factors.
  • A total of 395 NDocs were analyzed using the Q-DIO instrument and probabilistic sampling.

Main Results:

  • Significant correlations were found between Q-DIO sub-concepts, including "Nursing Diagnoses as Process" with "Nursing Diagnoses as Product" and "Nursing-Sensitive Patient Outcomes."
  • "Nursing Diagnoses as Product" correlated with "Nursing Interventions."
  • Increased nurse involvement in documentation positively impacted "Nursing Diagnoses as Product" and "Nursing Interventions" completeness; hospital specialty also affected quality, but length of stay did not.

Conclusions:

  • The interconnectedness of Q-DIO sub-concepts emphasizes the need to address all nursing process phases for improved nursing-sensitive patient outcomes.
  • Organizational factors, such as nurse staffing and hospital specialty, significantly impact NDoc completion quality.
  • Systematic data collection, training, and consideration of organizational aspects are vital for enhancing NDoc accuracy and completeness.