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Using linked hospitalisation data to detect nursing sensitive outcomes: a retrospective cohort study
Louise Winton Schreuders1, Alexandra P Bremner1, Elizabeth Geelhoed1
1The University of Western Australia, Australia.
International Journal of Nursing Studies
|July 9, 2013
Summary
Using linked hospitalisation data with a 2-year look-back period reduces estimated nursing-sensitive outcomes. This improves accuracy in identifying adverse patient events linked to nursing care.
Area of Science:
- Healthcare research
- Nursing science
- Health informatics
Background:
- Nursing-sensitive outcomes are adverse patient events linked to nursing care.
- Current methods for identifying these outcomes using administrative data face limitations in adjusting for pre-existing conditions.
- Incorporating patient history through look-back periods can enhance accuracy.
Purpose of the Study:
- To evaluate the impact of linked hospitalisation data and extended look-back periods on the incidence rates of nursing-sensitive outcomes.
- To investigate associations between patient demographics, hospitalisation characteristics, and nursing-sensitive outcomes.
Main Methods:
- Retrospective cohort study conducted at three tertiary metropolitan hospitals in Western Australia.
- Analysis of linked hospitalisation data over a 5-year period.
- Application of a 2-year look-back window to identify prior relevant health information.
Main Results:
- A reduction in estimated incidence rates for all nursing-sensitive outcomes was observed when a 2-year look-back period was applied.
- Survival analysis indicated most relevant disease information is captured within 2 years.
- Patients with nursing-sensitive outcomes were significantly older, more likely female, had comorbidities, and longer stays.
Conclusions:
- Current methods may over-estimate nursing-sensitive outcome rates.
- Linked hospitalisation data with look-back periods improve the accuracy of detecting these outcomes.
- This approach offers a more precise method for identifying adverse events using administrative data.
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