Object <p>To construct a quality evaluation indicator system for intravenous therapy nursing and identify deficiencies in clinical practice.</p> Methods <p>Based on the structure-process-outcome framework, we developed through literature review, semi-structured interviews, and Delphi consultation (<i>n</i> = 22 experts). We used the analytic hierarchy process determined indicator weights. Validation included an empirical evaluation across 30 public hospitals using TOPSIS and RSR methods.</p> Results <p>The finalized system comprises 3 first-level, 15&#xa0;s-level, and 49 third-level indicators. Expert authority coefficients were 0.903/0.898; Kendall’s W = 0.321/0.329 (<i>P</i> &lt; 0.01). Hospital performance: total score = 84.09 ± 8.63 (structure = 14.90 ± 2.73; process = 33.77 ± 4.39; outcome = 35.42 ± 2.95). TOPSIS-RSR analysis identified H13, H3, and H27 as top performers and H4, H1, and H20 as needing improvement.</p> Conclusion <p>The validated system effectively identifies clinical weaknesses and provides actionable insights for quality enhancement.</p> Clinical trial number <p>Not applicable.</p>

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Construction and application of a quality evaluation indicator system for intravenous therapy nursing

  • Yuejiao Zhang,
  • Ruiyi Zhao,
  • Hongling Sun,
  • Nan Jiang,
  • Xiaoling Shao,
  • Jiangliu Xia

摘要

Object

To construct a quality evaluation indicator system for intravenous therapy nursing and identify deficiencies in clinical practice.

Methods

Based on the structure-process-outcome framework, we developed through literature review, semi-structured interviews, and Delphi consultation (n = 22 experts). We used the analytic hierarchy process determined indicator weights. Validation included an empirical evaluation across 30 public hospitals using TOPSIS and RSR methods.

Results

The finalized system comprises 3 first-level, 15 s-level, and 49 third-level indicators. Expert authority coefficients were 0.903/0.898; Kendall’s W = 0.321/0.329 (P < 0.01). Hospital performance: total score = 84.09 ± 8.63 (structure = 14.90 ± 2.73; process = 33.77 ± 4.39; outcome = 35.42 ± 2.95). TOPSIS-RSR analysis identified H13, H3, and H27 as top performers and H4, H1, and H20 as needing improvement.

Conclusion

The validated system effectively identifies clinical weaknesses and provides actionable insights for quality enhancement.

Clinical trial number

Not applicable.