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A novel approach to correcting attribution of in a healthcare setting. | LitMetric

A novel approach to correcting attribution of in a healthcare setting.

Antimicrob Steward Healthc Epidemiol

Department of Infection Prevention and Control, UPMC Presbyterian/Shadyside, Pittsburgh, PA, USA.

Published: December 2023

Objective: To describe a novel attribution metric estimating the causal source location of healthcare-associated and compare it with the current US National Healthcare Safety Network (NHSN) surveillance reporting standard.

Design: Quality improvement study.

Setting: Two acute care facilities.

Methods: A novel attribution metric assigned days of attribution to locations where patients were located for 14 days before and the day of their diagnosis. We correlated the NHSN-assigned unit attribution with the novel attribution measure and compared the proportion of attribution assigned to inpatient units.

Results: During a 30-month period, there were 727 NHSN healthcare-associated infections (HAIs) and 409 non-HAIs; the novel metric attributed 17,034 days. The correlation coefficients for NHSN and novel attributions among non-ICU units were 0.79 (95% CI, 0.76-0.82) and 0.74 (95% CI, 0.70-0.78) and among ICU units were 0.70 (95% CI, 0.63-0.76) and 0.69 (95% CI, 0.60-0.77) at facilities A and B, respectively. The distribution of difference in percent attribution showed higher inpatient unit attribution using NHSN measure than the novel attribution metric: 38% of ICU units and 15% of non-ICU units in facility A, and 20% of ICU units and 25% of non-ICU units in facility B had a median difference >0; no inpatient units showed a greater attribution using the novel attribution metric.

Conclusion: The novel attribution metric shifts attribution from inpatient units to other settings and correlates modestly with NHSN methodology of attribution. If validated, the attribution metric may more accurately target reduction efforts.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10753511PMC
http://dx.doi.org/10.1017/ash.2023.516DOI Listing

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