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Using flawed, uncertain, proximate and sparse (FUPS) data in the context of complexity: learning from the case of child mental health
The use of routinely collected data that are flawed and limited to inform service development in healthcare systems needs to be considered, both theoretically and practically, given the reality in many areas of healthcare that only poor-quality data are available for use in complex adaptive systems....
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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BioMed Central
2018
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5998597/ https://www.ncbi.nlm.nih.gov/pubmed/29895295 http://dx.doi.org/10.1186/s12916-018-1079-6 |