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BMC Public Health. 2016 Aug 25;16(1):877. doi: 10.1186/s12889-016-3439-5.

High quality standards for a large-scale prospective population-based observational cohort: Constances.

Author information

1
CLINSEARCH, 110 Avenue Pierre Brossolette, 92240, Malakoff, France. fabrice.ruiz@clinsearch.net.
2
UMS 011 Inserm - UVSQ « Cohortes épidémiologiques en population », 16 avenue Paul Vaillant Couturier, 94 807, Villejuif, France.
3
CLINSEARCH, 110 Avenue Pierre Brossolette, 92240, Malakoff, France.
4
Centre d'examens de santé d'Angoulême, 5 rue la Croix Lanauve, 16024, Angoulême, France.
5
AP-HP, Service de Pneumologie et d'Oncologie Thoracique, Hôpital Ambroise-Paré, Boulogne, France.
6
Service de Pneumologie et Service EFR, Hôpital Calmette, CHU Lille, F-59000, Lille, France.
7
EA2511, Université Paris Descartes et Service de Pneumologie, Hôpital Cochin, 27 rue du Fg Saint Jacques, 75014, Paris, France.

Abstract

BACKGROUND:

Long-term multicentre studies are subject to numerous factors that may affect the integrity of their conclusions. Quality control and standardization of data collection are crucial to minimise the biases induced by these factors. Nevertheless, tools implemented to manage biases are rarely described in publications about population-based cohorts. This report aims to describe the processes implemented to control biases in the Constances cohort taking lung function results as an example.

METHODS:

Constances is a general-purpose population-based cohort of 200,000 participants. Volunteers attend physical examinations at baseline and then every 5 years at selected study sites. Medical device specifications and measurement methods have to comply with Standard Operating Procedures developed by experts. Protocol deviations are assessed by on-site inspections and database controls. In February 2016, more than 94,000 participants yielding around 30 million readings from physical exams, had been covered by our quality program.

RESULTS:

Participating centres accepted to revise their practices in accordance with the study research specifications. Distributors of medical devices were asked to comply with international guidelines and Constances requirements. Close monitoring enhanced the quality of measurements and recordings of the physical exams. Regarding lung function testing, spirometry acceptability rates per operator doubled in some sites within a few months and global repeatability reached 96.7 % for 29,772 acceptable maneuvers.

CONCLUSIONS:

Despite Constances volunteers being followed in multiple sites with heterogeneous materials, the investment of significant resources to set up and maintain a continuous quality management process has proved effective in preventing drifts and improving accuracy of collected data.

KEYWORDS:

Cohort study; Epidemiological methods; Measurement tool development; Methodology; Respiratory

PMID:
27557750
PMCID:
PMC4997774
DOI:
10.1186/s12889-016-3439-5
[Indexed for MEDLINE]
Free PMC Article

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