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How to write a systematic review of reasons

Systematic reviews, which were developed to improve policy-making and clinical decision-making, answer an empirical question based on a minimally biased appraisal of all the relevant empirical studies. A model is presented here for writing systematic reviews of argument-based literature: literature...

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Detalles Bibliográficos
Autores principales: Strech, Daniel, Sofaer, Neema
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Group 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3262986/
https://www.ncbi.nlm.nih.gov/pubmed/22080465
http://dx.doi.org/10.1136/medethics-2011-100096
Descripción
Sumario:Systematic reviews, which were developed to improve policy-making and clinical decision-making, answer an empirical question based on a minimally biased appraisal of all the relevant empirical studies. A model is presented here for writing systematic reviews of argument-based literature: literature that uses arguments to address conceptual questions, such as whether abortion is morally permissible or whether research participants should be legally entitled to compensation for sustaining research-related injury. Such reviews aim to improve ethically relevant decisions in healthcare, research or policy. They are better tools than informal reviews or samples of literature with respect to the identification of the reasons relevant to a conceptual question, and they enable the setting of agendas for conceptual and empirical research necessary for sound policy-making. This model comprises prescriptions for writing the systematic review's review question and eligibility criteria, the identification of the relevant literature, the type of data to extract on reasons and publications, and the derivation and presentation of results. This paper explains how to adapt the model to the review question, literature reviewed and intended readers, who may be decision-makers or academics. Obstacles to the model's application are described and addressed, and limitations of the model are identified.