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1.
JMIR Hum Factors ; 9(4): e39102, 2022 Oct 11.
Artigo em Inglês | MEDLINE | ID: mdl-35930555

RESUMO

BACKGROUND: Access to accurate information in health care is a key point for caregivers to avoid medication errors, especially with the reorganization of staff and drug circuits during health crises such as the COVID­19 pandemic. It is, therefore, the role of the hospital pharmacy to answer caregivers' questions. Some may require the expertise of a pharmacist, some should be answered by pharmacy technicians, but others are simple and redundant, and automated responses may be provided. OBJECTIVE: We aimed at developing and implementing a chatbot to answer questions from hospital caregivers about drugs and pharmacy organization 24 hours a day and to evaluate this tool. METHODS: The ADDIE (Analysis, Design, Development, Implementation, and Evaluation) model was used by a multiprofessional team composed of 3 hospital pharmacists, 2 members of the Innovation and Transformation Department, and the IT service provider. Based on an analysis of the caregivers' needs about drugs and pharmacy organization, we designed and developed a chatbot. The tool was then evaluated before its implementation into the hospital intranet. Its relevance and conversations with testers were monitored via the IT provider's back office. RESULTS: Needs analysis with 5 hospital pharmacists and 33 caregivers from 5 health services allowed us to identify 7 themes about drugs and pharmacy organization (such as opening hours and specific prescriptions). After a year of chatbot design and development, the test version obtained good evaluation scores: its speed was rated 8.2 out of 10, usability 8.1 out of 10, and appearance 7.5 out of 10. Testers were generally satisfied (70%) and were hoping for the content to be enhanced. CONCLUSIONS: The chatbot seems to be a relevant tool for hospital caregivers, helping them obtain reliable and verified information they need on drugs and pharmacy organization. In the context of significant mobility of nursing staff during the health crisis due to the COVID-19 pandemic, the chatbot could be a suitable tool for transmitting relevant information related to drug circuits or specific procedures. To our knowledge, this is the first time that such a tool has been designed for caregivers. Its development further continued by means of tests conducted with other users such as pharmacy technicians and via the integration of additional data before the implementation on the 2 hospital sites.

2.
Drug Metab Dispos ; 31(3): 319-25, 2003 Mar.
Artigo em Inglês | MEDLINE | ID: mdl-12584159

RESUMO

Itraconazole is a fungistatic agent that, although highly lipophilic, shows poor transport through the blood brain barrier that may be due to efflux proteins. The combined administration of an efflux inhibitor with itraconazole should increase cerebral itraconazole concentrations and therefore, improve the treatment of Cryptococcus neoformans meningitis with this antifungal agent. To test this hypothesis, we have studied the influence of murine cerebral infection with C. neoformans and the inhibition of efflux by intraperitoneal injection of a P-glycoprotein inhibitor, GF120918 [N-(4-[2-(1,2,3,4-tetrahydro-6,7-dimethoxy-2-isoquinolinyl)-ethyl]-phenyl)9,10-dihydro-5-methoxy-9-oxo-4-acridine carboxamide], on the pharmacokinetics of itraconazole in plasma and brain after a single intraperitoneal itraconazole injection. We also investigated the influence of efflux inhibition on the efficacy of repeated doses of itraconazole in this murine model. The results showed that in healthy and infected mice pretreated or not with GF120918, plasma itraconazole values of area under the curve (AUC) were similar. In contrast, cerebral values of AUC were higher in infected mice compared with healthy mice. Moreover, the pretreatment of infected mice with GF120918 significantly increased cerebral itraconazole values of area under the curve and decreased weight loss in the treatment with itraconazole of a cerebral infection with C. neoformans.


Assuntos
Antifúngicos/metabolismo , Encéfalo/metabolismo , Encéfalo/microbiologia , Criptococose/metabolismo , Cryptococcus neoformans , Itraconazol/metabolismo , Tetra-Hidroisoquinolinas , Membro 1 da Subfamília B de Cassetes de Ligação de ATP/antagonistas & inibidores , Membro 1 da Subfamília B de Cassetes de Ligação de ATP/metabolismo , Acridinas/farmacologia , Animais , Antifúngicos/antagonistas & inibidores , Antifúngicos/sangue , Encéfalo/efeitos dos fármacos , Criptococose/tratamento farmacológico , Cryptococcus neoformans/efeitos dos fármacos , Isoquinolinas/farmacologia , Itraconazol/antagonistas & inibidores , Itraconazol/sangue , Camundongos , Camundongos Endogâmicos BALB C , Transporte Proteico/efeitos dos fármacos
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