Evidence map›Paper›PMID 37562932›Full record

ArticleBMJ open2023

Are temporal trends in retained foreign object rates after surgery in Switzerland impacted by increasing coding intensity? A retrospective analysis of hospital routine data from 2000 to 2019.

David Schwappach, Michael M Havranek

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Article in BMJ open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

2 authors.

David SchwappachFaculty of Health Sciences and Medicine, University of Lucerne, Luzern, Switzerland david.schwappach@unibe.ch.ORCID 0000-0001-8668-3065
Michael M HavranekInstitute of Social and Preventive Medicine (ISPM), University of Bern, Bern, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesRetained foreign objects (RFOs) after surgery can cause harm to patients and negatively impact clinician and hospital reputation. RFO incidence based on administrative data is used as a metric of patient safety. However, it is unknown how differences in coding intensity across hospitals and years impact the number of reported RFO cases. The objective of this study is to investigate the temporal trend of RFO incidence at a national level and the impact of changes in coding practices across hospitals and years.

designRetrospective study using administrative hospital data. SETTING AND

participants21 805 005 hospitalisations at 354 Swiss acute-care hospital sites PRIMARY AND SECONDARY OUTCOME MEASURES: RFO incidence over time, the distribution of RFOs across hospitals and the impact of differences in coding intensity across the hospitals and years.

resultsThe annual RFO rate more than doubled between 2000 and 2019 (from 4.6 to 11.8 with a peak of 17.0 in 2014) and coincided with increasing coding intensity (mean number of diagnoses: 3.4, SD 2.0 in 2000; 7.40, SD 5.2 in 2019). After adjusting for patient characteristics, two regression models confirmed that coding intensity was a significant predictor of both whether RFO cases were reported at the hospital level (OR: 12.94; 95% CI: 7.38 to 22.68) and the number of reported cases throughout the period at the national level (Incidence Rate Ratio (IRR): 5.95; 95% CI: 1.11 to 31.82).

conclusionsOur results raise concerns about the use of RFO incidence for comparing hospitals, countries and years. Utilising coding indices could be employed to mitigate the effects of coding intensity on RFO rates.

Indexed as

Foreign BodiesHospitalsHospitalizationHumansRetrospective StudiesSwitzerlandHealth & safetyHospitals, PublicQuality in health careSURGERY

Identifiers

PMID37562932
PMCPMC10423772

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