High-Reliability Organization Implementation Review Data

Eleven studies from a scoping review of 3,305 records link high-reliability organization principles to improved safety outcomes in healthcare. The dataset was extracted by Michael Joshua G. Morales using the Joanna Briggs Institute tool and includes studies published from 2016 to 2025. It focuses on patient safety metrics like medication errors and falls, as well as staff perceptions of psychological safety.

Use Cases

• Analyze extracted study data on 'medication errors' and 'falls' to quantify the impact of HRO principles on patient safety outcomes.
• Correlate 'staff perceptions of patient safety' with reported 'adverse events' to model the relationship between organizational culture and safety metrics.
• Use the 'HRO implementation' data fields to identify which principles (e.g., 'preoccupation with failure') are most frequently associated with 'improved psychological safety' in the included studies.
• Compare the single study addressing 'staff safety' against the six studies on 'patient safety' to highlight evidence gaps in the reviewed literature.

Strengths

• Structured extraction from a systematic search of three databases covering 3,305 studies.
• Clear temporal coverage of studies published from 2016 to 2025.
• Data extracted using a standardized tool (Joanna Briggs Institute) with independent reviewer screening to reduce bias.

Limitations

• Extremely small sample size of only eleven studies meeting inclusion criteria.
• Evidence on staff physical safety outcomes is explicitly noted as limited to a single study.
• Geographic and language bias present, as the review was restricted to English-language studies.

Provenance

Source

Scoping review of published studies from academic databases.

Collection Method

Data extracted using the Joanna Briggs Institute (JBI) data extraction tool by independent reviewers.

Time Range

Studies published from 2016 to 2025.

Freshness

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Geography

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