Enhance quality care performance: Determination of the variables for establishing a common database in French paediatric critical care units

Abstract

Selected variables for the French Paediatric Intensive Care registry.Rationale, aims, and objectivesProviding quality care requires follow‐up in regard to clinical and economic activities. Over the past decade, medical databases and patient registries have expanded considerably, particularly in paediatric critical care medicine (eg, the Paediatric Intensive Care Audit Network (PICANet) in the UK, the Australian and New Zealand Paediatric Intensive Care (ANZPIC) Registry in Australia and New Zealand, and the Virtual Paediatric Intensive Care Unit Performance System (VPS) in the USA). Such a registry is not yet available in France. The aim of this study was to determine variables that ought to be included in a French paediatric critical care registry.MethodsVariables, items, and subitems from 3 foreign registries and 2 French local databases were used. Items described each variable, and subitems described items. The Delphi method was used to evaluate and rate 65 variables, 90 items, and 17 subitems taking into account importance or relevance based on input from 28 French physicians affiliated with the French Paediatric Critical Care Group. Two ratings were used between January and May 2013.ResultsFifteen files from 10 paediatric intensive care units were included. Out of 65 potential variables, 48 (74%) were considered to be indispensable, 16 (25%) were considered to be optional, and 1 (2%) was considered to be irrelevant. Out of 90 potential items, 62 (69%) were considered to be relevant, 23 (26%) were considered to be of little relevance, and 5 (6%) were considered to be irrelevant. Out of 17 potential subitems, 9 (53%) were considered to be relevant, 6 (35%) were considered to be of little relevance, and 2 (12%) were considered to be irrelevant.ConclusionsThe necessary variables that ought to be included in a French paediatric critical care registry were identified. The challenge now is to develop the French registry for paediatric intensive care units.

Validation process of a high‐resolution database in a paediatric intensive care unit—Describing the perpetual patient's validation

“…As there were no guidelines specifically designed to guarantee high‐resolution data quality, 9,14 we elaborated the first complete validation procedure. Our validation procedure was inspired by previously published experiences 9,10,30,32‐34 and guidelines 13‐15,28,35 regarding data quality assessment in the field of medical DB collected at a lower rate or in a restricted area. To evaluate the quality of the data, we chose to perform an external validation procedure.…”

Severity of illness and organ dysfunction scoring systems in pediatric critical care: The impacts on clinician's practices and the future

“…Moreover, these results should be analyzed collectively, understanding the local characteristics, to prevent erroneous interpretations. Therefore, the need for annual national monitoring of medical and medico-economic activities has led to the development of national networks of PICUs in many industrialized countries: North America (Virtual PICU Performance System, “VPS” https://portal.myvps.org/ ) ( 66 ), Great Britain (Paediatric Intensive Care Audit Network, “PICAnet” http://www.picanet.org.uk/ ) ( 2 ), and Australia—New Zealand (Australian and New Zealand pediatric Intensive Care Society, “ANZPICS” http://www.anzics.com.au/pages/CORE/ANZPICR-registry.aspx ) ( 67 ), and the PICU Registry in France (PICURe) ( 68 ). These pediatric intensive care collective networks aim to build a database.…”

Consensus on Triple Endoscopy Data Elements Preparatory to Development of an Aerodigestive Registry

“…The scope of this study was to develop a consensus‐based core set of data elements from each component of a triple scope and probe, with input from key stakeholders and subject matter experts in pediatric pulmonology, otolaryngology, and gastroenterology. The Delphi method has been utilized to develop general recommendations for registry data inclusion, for disease‐specific registries, and for setting research agendas, management consensus, and reporting guidelines for rare diseases 12–20 . To our knowledge, this is the first reported use of this process to identify and define the data elements for an inclusive registry of a rare disease or rare conditions that fall under a common umbrella, but lack a single‐disease focus.…”

“…The Delphi method has been utilized to develop general recommendations for registry data inclusion, for diseasespecific registries, and for setting research agendas, management consensus, and reporting guidelines for rare diseases. [12][13][14][15][16][17][18][19][20] To our knowledge, this is the first reported use of this process to identify and define the data elements for an inclusive registry of a rare disease or rare conditions that fall under a common umbrella, but lack a single-disease focus.…”