La sécurisation du circuit du médicament dans les établissements de santé : données actuelles et expérience du centre hospitalier universitaire de Grenoble

Bedouch, Pierrick; Baudrant, Magalie; Detavernier, M.; Rey, C.; Brudieu, É.; Foroni, L.; Allenet, Benoît; Calop, J.

doi:10.1016/j.pharma.2008.10.006

Cited by 31 publications

(8 citation statements)

References 46 publications

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“…This could be explained by two factors: re-evaluation of needs was carried out by the head nurse and the pharmacist at the start of the implementation process, and traceability of stock movements was improved as each movement of stock is now automatically recorded by the ADC computer system. As for management of medication with ADCs, having a small stock of medical devices improves the rotation of devices and thus avoids the presence of out-of-date medical devices 4 5. Further evaluations are needed to confirm this.…”

Section: Discussionmentioning

confidence: 99%

Implementation of automated dispensing cabinets for management of medical devices in an intensive care unit: organisational and financial impact

et al. 2015

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BackgroundAutomated dispensing cabinets (ADCs) have been tested and approved for medication management in hospitals.ObjectivesFirst, to evaluate the logistics and organisational effect of a similar system for management of sterile medical devices in a medical intensive care unit (ICU). Second, to assess the cost savings of this new organisation for the sterile medical devices budget of this department.MethodsThe organisational effect was evaluated by comparing (1) the workload of head nurse, nursing auxiliary and pharmacy technician and (2) sterile medical devices emergency orders, 1 year before and after implementation of three ADCs and 100 wireless open-access devices. The hospital's costs (ADC, wireless devices and software) and benefits (stock value and resupplying value before and after implementation) were evaluated.ResultsEmployment of ADCs led to organisational improvement: the total time saved by the pharmacy and ICU together was 34% of the time spent before introduction. The number of emergency orders decreased from 6% to 1% of total orders after 1 year. €55 000 were saved (stock value + resupplying value) 1 year after introduction of ADCs. These benefits were almost equal to the cost of introducing the system.ConclusionsADCs could provide an innovative and efficient solution for the management of sterile medical devices in hospitals. Further investigations are needed to complete the financial evaluation, and to develop this system to provide a secure a medical devices circuit.

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Section: Discussionmentioning

confidence: 99%

Implementation of automated dispensing cabinets for management of medical devices in an intensive care unit: organisational and financial impact

et al. 2015

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“…Un ensemble de prérequis qui conditionne l'usage sécurisé des médicaments pour la prise en charge du patient. A défaut, on parle alors d'iatrogénie médicamenteuse, lorsque « la thérapeutique médicamenteuse induit des effets, réactions, événements ou accidents indésirables, tant en raison des effets propres des médicaments concernés qu'à cause du contexte et des modalités de leur utilisation » (Bedouch et al, 2009). La iatrogénie peut provenir d'un effet indésirable ou d'une erreur médicamenteuse définie comme tout événement évitable résultant d'un dysfonctionnement non intentionnel dans l'organisation de la prise en charge médicamenteuse du patient (Bates et al, 1995).…”

Section: La Dsc Face à La Rupture D'approvisionnement Du Patient En Munclassified

“…La littérature révèle que des études réalisées en France et à l'étranger laissent supposer qu'un séjour hospitalier sur dix est marqué par un événement indésirable médicamenteux dont le tiers est qualifié de grave (Bedouch et al, 2009). Dans une étude, Bernheim et al (2005) indiquent que quasiment une erreur sur deux, commise au niveau du circuit du médicament, atteindra le patient.…”

Section: La Dsc Face à La Rupture D'approvisionnement Du Patient En Munclassified

“…Les SI apparaissent comme des outils au service de la SC en santé et de la sécurisation de la prise en charge du patient dont il est intéressant de vérifier la teneur sur un circuit comme celui de la Drug Supply Chain (DSC). La DSC également appelée la chaîne d'approvisionnement en médicament ou le circuit du médicament, selon Bedouch et al (2009) englobe plusieurs étapes : « 1/ la prescription médicale, 2/ la dispensation qui comprend l'analyse pharmaceutique et la délivrance des médicaments, 3/ l'administration des médicaments au patient par le personnel infirmier. Elle comprend : la gestion des commandes aux laboratoires, la gestion des stocks, des périmés, des retraits de lots et le choix des médicaments disponibles à l'hôpital ».…”

Section: Introductionunclassified

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Chapitre 13. Informatisation de la « Drug Supply Chain » et sécurisation de la prise en charge du patient

Garidi¹,

Husson²

2019

Supply Chain Management De La Santé

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Distribution électronique Cairn.info pour EMS Editions. © EMS Editions. Tous droits réservés pour tous pays.La reproduction ou représentation de cet article, notamment par photocopie, n'est autorisée que dans les limites des conditions générales d'utilisation du site ou, le cas échéant, des conditions générales de la licence souscrite par votre établissement. Toute autre reproduction ou représentation, en tout ou partie, sous quelque forme et de quelque manière que ce soit, est interdite sauf accord préalable et écrit de l'éditeur, en dehors des cas prévus par la législation en vigueur en France. Il est précisé que son stockage dans une base de données est également interdit.

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“…This can create difficulties when attempting to successfully analyse and manage the process. The literature reports that medicinal errors occur in each step of the supply chain, with different prevalence depending on the chain stage 1–3…”

Section: Introductionmentioning

confidence: 99%

Bayesian networks as decision-making tools to help pharmacists evaluate and optimise hospital drug supply chain

et al. 2012

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Background The drug supply chain is a cross-disciplinary process involving numerous actors. This can create difficulties in attempts to successfully analyse and manage its execution. Objective To produce a tool allowing easy evaluation and optimisation of the hospital drug supply chain. Material and methods A supervised Bayesian network was built to model a hospital drug supply chain. Two learning patterns were used: literature and experimental data. The network was tested by using data separate from the data used for its construction. Two hundred scenarios were simulated to evaluate the impact of organisational modalities. Results The model estimates a need for 3·2 clinical pharmacists per 100 patients. The model gave an appropriate estimation of technician workforce of three hospital pharmacies and showed that one of them was understaffed. Simulations showed that a unit-dose drug distribution system and prescription analysis seem to have comparable impact on quality index, with a maximum increase of 28 for unit-dose drug distribution and 25 for prescription control (depending on control methods, the increase in quality varies between 31 and 89). In addition, changing from a global to a unit-dose distribution system results in an increase of 14 % in the hospital pharmacy's payroll whereas changing from no prescription control to the daily control of 100 % of prescriptions leads to a rise of 218 % in the pharmacy's wage bill. Conclusions The Bayesian approach appears to be a valuable decision tool to gauge the influence of organisational changes on care quality.

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La sécurisation du circuit du médicament dans les établissements de santé : données actuelles et expérience du centre hospitalier universitaire de Grenoble

Cited by 31 publications

References 46 publications

Implementation of automated dispensing cabinets for management of medical devices in an intensive care unit: organisational and financial impact

Implementation of automated dispensing cabinets for management of medical devices in an intensive care unit: organisational and financial impact

Chapitre 13. Informatisation de la « Drug Supply Chain » et sécurisation de la prise en charge du patient

Bayesian networks as decision-making tools to help pharmacists evaluate and optimise hospital drug supply chain

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