French hospital discharge database (PMSI) and bacterial resistance: Is coding adapted to hospital epidemiology?

Léotoing, Lucie de; Barbier, François; Dinh, Aurélien; Breilh, Dominique; Chaize, Gwendoline; Vainchtock, Alexandre; Lévy-Bachelot, L.; Bensoussan, C.; Dramard, S.; Fernandes, J.

doi:10.1016/j.medmal.2018.03.007

Cited by 11 publications

(5 citation statements)

References 12 publications

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“…Pneumonia was the dominating focus of infection, with the highest incidence rate, followed by the UTIs. The distribution of the different foci of infection is comparable and correlates with earlier work based on discharge codes in a hospital´s catchment area [ 8 , 17 , 18 ]. The incidence rate of hospitalization due to pneumonia correlates well with a calculation of incidence rate in an emergency setting in New York [ 7 ], however one should be careful when comparing our results with numbers in an emergency room or intensive care setting.…”

Section: Discussionsupporting

confidence: 84%

Incidence, recurring admissions and mortality of severe bacterial infections and sepsis over a 22-year period in the population-based HUNT study

et al. 2022

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Purpose Severe bacterial infections are important causes of hospitalization and loss of health worldwide. In this study we aim to characterize the total burden, recurrence and severity of bacterial infections in the general population during a 22-year period. Methods We investigated hospitalizations due to bacterial infection from eight different foci in the prospective population-based Trøndelag Health Study (the HUNT Study), where all inhabitants aged ≥ 20 in a Norwegian county were invited to participate. Enrollment was between 1995 and 1997, and between 2006 and 2008, and follow-up ended in February 2017. All hospitalizations, positive blood cultures, emigrations and deaths in the follow-up period were captured through registry linkage. Results A total of 79,393 (69.5% and 54.1% of the invited population) people were included, of which 42,237 (53%) were women and mean age was 48.5 years. There were 37,298 hospitalizations due to infection, affecting 15,496 (22% of all included) individuals. The median time of follow-up was 20 years (25th percentile 9.5–75th percentile 20.8). Pneumonia and urinary tract infections were the two dominating foci with incidence rates of 639 and 550 per 100,000 per year, respectively, and with increasing incidence with age. The proportion of recurring admissions ranged from 10.0% (central nervous system) to 30.0% (pneumonia), whilst the proportion with a positive blood culture ranged from 4.7% (skin- and soft tissue infection) to 40.9% (central nervous system). The 30-day mortality varied between 3.2% (skin- and soft tissue infection) and 20.8% (endocarditis). Conclusions In this population-based cohort, we observed a great variation in the incidence, positive blood culture rate, recurrence and mortality between common infectious diseases. These results may help guide policy to reduce the infectious disease burden in the population.

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Section: Discussionsupporting

confidence: 84%

Incidence, recurring admissions and mortality of severe bacterial infections and sepsis over a 22-year period in the population-based HUNT study

et al. 2022

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“…Patients are identified using the CIM-10 (ICD-10 French version) and/or CCAM (for procedures). Queries are limited by the lack of codes (e.g., new practices or rare disease), the use of an inappropriate code [ 23 , 24 ], absence of code due to no financial valuation (e.g. medical history), or even code evolution [ 25 ].…”

Section: Methodsmentioning

confidence: 99%

Evaluation of Doc’EDS: a French semantic search tool to query health documents from a clinical data warehouse

Pressat-Laffouilhère

Balayé

Dahamna

et al. 2022

BMC Med Inform Decis Mak

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Background Unstructured data from electronic health records represent a wealth of information. Doc’EDS is a pre-screening tool based on textual and semantic analysis. The Doc’EDS system provides a graphic user interface to search documents in French. The aim of this study was to present the Doc’EDS tool and to provide a formal evaluation of its semantic features. Methods Doc’EDS is a search tool built on top of the clinical data warehouse developed at Rouen University Hospital. This tool is a multilevel search engine combining structured and unstructured data. It also provides basic analytical features and semantic utilities. A formal evaluation was conducted to measure the impact of Natural Language Processing algorithms. Results Approximately 18.1 million narrative documents are stored in Doc’EDS. The formal evaluation was conducted in 5000 clinical concepts that were manually collected. The F-measures of negative concepts and hypothetical concepts were respectively 0.89 and 0.57. Conclusion In this formal evaluation, we have shown that Doc’EDS is able to deal with language subtleties to enhance an advanced full text search in French health documents. The Doc’EDS tool is currently used on a daily basis to help researchers to identify patient cohorts thanks to unstructured data.

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“…Since 2004, it has been used for health resource allocation with the implementation of activity-based funding policy estimates. Although not initially designed for epidemiologic research, it was rapidly considered as an important source of information on hospitalizations and has been used in various studies ( Daveluy et al., 2012 ; de Léotoing et al., 2018 ). The PMSI database contains administrative (age, sex, unique patient identifier) and medical information through diagnostic codes according to the 10th revision of the World Health Organization International Classification of Diseases (ICD-10), adapted for the PMSI as primary diagnoses (the reason why the patient was admitted to hospital) and the associated significant diagnoses (complications and morbidities that could have an impact on the course of the hospitalization) ( Quan et al., 2008 ).…”

Section: Methodsmentioning

confidence: 99%

General hospital admissions in young and middle-aged people who use psychoactive substances: Impact of Covid-19 lockdowns

Perino

Ramaroson

Ong

et al. 2023

International Journal of Drug Policy

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French hospital discharge database (PMSI) and bacterial resistance: Is coding adapted to hospital epidemiology?

Cited by 11 publications

References 12 publications

Incidence, recurring admissions and mortality of severe bacterial infections and sepsis over a 22-year period in the population-based HUNT study

Incidence, recurring admissions and mortality of severe bacterial infections and sepsis over a 22-year period in the population-based HUNT study

Evaluation of Doc’EDS: a French semantic search tool to query health documents from a clinical data warehouse

General hospital admissions in young and middle-aged people who use psychoactive substances: Impact of Covid-19 lockdowns

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