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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.
Presse Med ; 44(4 Pt 1): e75-83, 2015 Apr.
Artigo em Francês | MEDLINE | ID: mdl-25737062

RESUMO

BACKGROUND: Clostridium difficile infections represent the major cause of healthcare-associated diarrhea. The objective of the study was to determine the incidence of C. difficile infection (CDI) in 2012 and to assess the under-estimation of the disease in France. METHODS: Seventy healthcare facilities participated in a prospective point prevalence study. Each laboratory was requested to send all the diarrheal stool samples from hospitalized patients during 2 days (one in December 2012 and one in July 2013) to the National Reference Laboratory (NRL) for C. difficile, irrespective of a medical request for C. difficile. At the NRL, stool samples were analyzed using the Quik Chek Complete assay (Alere). Positive samples for glutamate deshydrogenase or toxins were confirmed by the toxigenic culture. Results obtained by the NRL were then compared to those given by each healthcare facility. Incidence of CDI in 2012 was provided by each healthcare facility through a specific questionnaire. RESULTS: Mean incidence of CDI reported in 2012 by the HCF was 3.6 ± 2.9 per 10,000 patient-days; the incidence was positively correlated to the density testing (defined by the number of tests per 10,000 patient-days), which varied across the HCF (median 29.0 per 10,000 patient-days, IQR 19-50). During the bi-annual point prevalence survey, 651 stool samples were included and 90 were positive for C. difficile in culture. The overall prevalence of patients infected by a toxigenic C. difficile strain was 9.7% (63/651) and the prevalence of patients colonized by a non-toxigenic strain was 4.2% (27/651). Among the 65 cases of CDI detected by the NRL, 35 (55.6%) were missed by the participating HCF because of a lack of sensitivity of the methods used for the diagnosis (16/63, 25.4%) or because of a lack of clinical suspicion (19/63, 30.2%). CONCLUSION: The incidence of CDI in 2012 has increased in France compared to that of 2009 but is still underestimated because of a lack of clinical suspicion or a lack of sensitivity of methods used for toxin detection.


Assuntos
Clostridioides difficile , Infecções por Clostridium/epidemiologia , Diarreia/epidemiologia , Diarreia/microbiologia , Infecções por Clostridium/diagnóstico , Estudos Transversais , França , Hospitalização , Humanos , Incidência , Prevalência , Estudos Prospectivos
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