American Society for Enhanced Recovery (ASER) and Perioperative Quality Initiative (POQI) joint consensus statement on measurement to maintain and improve ... View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2017-12

AUTHORS

S. Ramani Moonesinghe, Michael P. W. Grocott, Elliott Bennett-Guerrero, Roberto Bergamaschi, Vijaya Gottumukkala, Thomas J. Hopkins, Stuart McCluskey, Tong J. Gan, Michael Monty G. Mythen, Andrew D. Shaw, Timothy E. Miller, For the Perioperative Quality Initiative (POQI) I Workgroup

ABSTRACT

BACKGROUND: This article sets out a framework for measurement of quality of care relevant to enhanced recovery pathways (ERPs) in elective colorectal surgery. The proposed framework is based on established measurement systems and/or theories, and provides an overview of the different approaches for improving clinical monitoring, and enhancing quality improvement or research in varied settings with different levels of available resources. METHODS: Using a structure-process-outcome framework, we make recommendations for three hierarchical tiers of data collection. DISCUSSION: Core, Quality Improvement, and Best Practice datasets are proposed. The suggested datasets incorporate patient data to describe case-mix, process measures to describe delivery of enhanced recovery and clinical outcomes. The fundamental importance of routine collection of data for the initiation, maintenance, and enhancement of enhanced recovery pathways is emphasized. More... »

PAGES

6

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/s13741-017-0062-7

DOI

http://dx.doi.org/10.1186/s13741-017-0062-7

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1084252735

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/28331608


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Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

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Turtle is a human-readable linked data format.

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RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/s13741-017-0062-7'


 

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