Evidence Summary for Intraoperative IV Complication Prevention and Management

An evidence-based practice framework synthesizing findings from 13 publications, including six clinical guidelines and three systematic reviews. The framework, created by Hengfang Liu, provides 41 evidence statements across four domains for managing intravenous infusion complications in adult patients. The dataset was last updated in May 2026.

Use Cases

• Developing clinical decision support tools based on the structured evidence statements for prevention, identification, and management.
• Informing staff training programs based on the synthesized system-level strategies for adverse event reporting and quality improvement.
• Supporting quality improvement initiatives in operating rooms based on the framework's recommendations for venous access planning and dynamic monitoring.
• Guiding the creation of hospital policies based on the expert-consensus graded recommendations (Level A or B) for high-risk drug administration.

Strengths

• Evidence is synthesized from a systematic search of nine databases and evidence-based platforms up to September 2025.
• The framework is structured around 41 specific evidence statements extracted from 13 high-quality publications.
• Recommendations are graded (Level A/B) based on multidisciplinary expert consensus considering feasibility and effectiveness.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is very small (11.1 KB), indicating it likely contains summary metadata rather than raw clinical data.

Provenance

Source

figshare

Collection Method

Systematic evidence synthesis following methodological standards (PIPOST framework, 6S evidence pyramid).

Time Range

Literature search covered from database inception to September 3, 2025.

Freshness

Last updated 2026-05-08 05:51:10; freshness should be verified.

Geography

Evidence sources include international (e.g., PubMed, Cochrane) and Chinese (e.g., CNKI, Wanfang) databases; specific patient geography is not stated.