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1.
Rev Infirm ; 67(242): 27-28, 2018.
Artículo en Francés | MEDLINE | ID: mdl-29907175

RESUMEN

In the framework of the management of patients receiving hyperbaric oxygen therapy, hypnoanalgesia is a complementary pain management tool, notably during the changing of dressings. Trained in this management of care-related pain, the teams of the hypebaric medicine centre in Lyon share their experience.


Asunto(s)
Analgesia , Dolor Crónico/terapia , Oxigenoterapia Hiperbárica/estadística & datos numéricos , Analgesia/métodos , Analgesia/enfermería , Dolor Crónico/enfermería , Terapia Combinada/enfermería , Humanos , Oxigenoterapia Hiperbárica/enfermería , Manejo del Dolor/métodos , Manejo del Dolor/enfermería
2.
Int J Health Geogr ; 15(1): 34, 2016 Sep 27.
Artículo en Inglés | MEDLINE | ID: mdl-27678070

RESUMEN

BACKGROUND: Although introduced nearly 40 years ago, Geographic Information Systems (GISs) have never been used to study Occupational Health information regarding the different types, scale or sources of data. The geographic distribution of occupational diseases and underlying work activities were always analyzed independently. Our aim was to consider the French Network of Occupational Disease (OD) clinics, namely the "French National OD Surveillance and Prevention Network" (rnv3p) as a spatial object in order to describe its catchment. METHODS: We mapped rnv3p observations at the workplace level. We initially analyzed rnv3p capture with reference to its own data, then to the underlying workforce (INSEE "Employment Areas"), and finally compared its capture of one emblematic occupational disease (mesothelioma) to an external dataset provided by a surveillance system thought to be exhaustive (PNSM). RESULTS: While the whole country is covered by the network, the density of observations decreases with increase in the distance from the 31 OD clinics (located within the main French cities). Taking into account the underlying workforce, we show that the probability to capture and investigation of OD (assessed by rates of OD per 10,000 workers) also presents large discrepancies between OD clinics. This capture rate might also show differences according to the disease, as exemplified by mesothelioma. CONCLUSION: The geographic approach to this network, enhanced by the possibilities provided by the GIS tool, allow a better understanding of the coverage of this network at a national level, as well as the visualization of capture rates for all OD clinics. Highlighting geographic and thematic shading zones bring new perspectives to the analysis of occupational health data, and should improve occupational health vigilance and surveillance.

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