Delayed antibiotic prescribing for respiratory tract infections : Protocol of an individual patient data meta-analysis
Stuart, Beth (University of Southampton)
Hounkpatin, Hilda (University of Southampton)
Becque, Taeko (University of Southampton)
Yao, Guiqing (University of Leicester)
Zhu, Shihua (University of Southampton)
Alonso-Coello, Pablo (Institut d'Investigació Biomèdica Sant Pau)
Altiner, Attila (University of Rostock)
Arroll, Bruce (University of Auckland)
Böhning, Dankmar (University of Southampton)
Bostock, Jennifer (King's College London)
Bucher, Heiner (University of Basel)
De La Poza, Mariam (Institut Català de la Salut)
Francis, Nick A. (Cardiff University)
Gillespie, David (Cardiff University)
Hay, Alastair D. (University of Bristol)
Kenealy, Timothy (University of Auckland)
Löffler, Christin (Rostock University Medical Center)
Mas Dalmau, Gemma (Institut d'Investigació Biomèdica Sant Pau)
Muñoz, Laura (Agència de Qualitat i Avaluació Sanitàries de Catalunya (AQuAS))
Samuel, Kirsty (University of Leeds)
Moore, Michael (University of Southampton)
Little, Paul (University of Southampton)
Universitat Autònoma de Barcelona

Fecha:	2019
Resumen:	Delayed prescribing can be a useful strategy to reduce antibiotic prescribing, but it is not clear for whom delayed prescribing might be effective. This protocol outlines an individual patient data (IPD) meta-analysis of randomised controlled trials (RCTs) and observational cohort studies to explore the overall effect of delayed prescribing and identify key patient characteristics that are associated with efficacy of delayed prescribing. A systematic search of the databases Cochrane Central Register of Controlled Trials, Ovid MEDLINE, Ovid Embase, EBSCO CINAHL Plus and Web of Science was conducted to identify relevant studies from inception to October 2017. Outcomes of interest include duration of illness, severity of illness, complication, reconsultation and patient satisfaction. Study authors of eligible papers will be contacted and invited to contribute raw IPD data. IPD data will be checked against published data, harmonised and aggregated to create one large IPD database. Multilevel regression will be performed to explore interaction effects between treatment allocation and patient characteristics. The economic evaluation will be conducted based on IPD from the combined trial and observational studies to estimate the differences in costs and effectiveness for delayed prescribing compared with normal practice. A decision model will be developed to assess potential savings and cost-effectiveness in terms of reduced antibiotic usage of delayed prescribing and quality-adjusted life years. Ethical approval was obtained from the University of Southampton Faculty of Medicine Research Ethics Committee (Reference number: 30068). Findings of this study will be published in peer-reviewed academic journals as well as General Practice trade journals and will be presented at national and international conferences. The results will have important public health implications, shaping the way in which antibiotics are prescribed in the future and to whom delayed prescriptions are issued.
Derechos:	Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, fins i tot amb finalitats comercials, sempre i quan es reconegui l'autoria de l'obra original.
Lengua:	Anglès
Documento:	Article ; recerca ; Versió publicada
Materia:	General medicine ; Health economics ; Respiratory medicine ; Statistics and research methods
Publicado en:	BMJ open, Vol. 9 Núm. 1 (january 2019) , p. e026925, ISSN 2044-6055

DOI: 10.1136/bmjopen-2018-026925
PMID: 30670532

7 p, 227.7 KB

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Documentos de investigación > Documentos de los grupos de investigación de la UAB > Centros y grupos de investigación (producción científica) > Ciencias de la salud y biociencias > Institut de Recerca Sant Pau
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