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Scientific Concept of the National Cohort (status ... - Nationale Kohorte

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A.5 Methods for quality assurance and quality control<br />

by <strong>the</strong> competence center on imaging and implemented and trained during <strong>the</strong> centralized<br />

technologist training courses. If insufficient image quality is detected, additional MRI sequences<br />

will be acquired to maintain a complete protocol. If <strong>the</strong>re is any technical failure,<br />

<strong>the</strong> technical service <strong>of</strong> <strong>the</strong> vendor will be notified and a re-examination will be <strong>of</strong>fered to<br />

<strong>the</strong> subjects.<br />

Second-line quality check: A second-line quality check will be performed at <strong>the</strong> centralized<br />

reading core at <strong>the</strong> competence center on imaging prior to <strong>the</strong> first-line reading. This<br />

check will include similar items as for <strong>the</strong> first-line quality check but will additionally involve<br />

subjective assessment by a radiologist. If impaired image quality is detected, <strong>the</strong> respective<br />

imaging center will be contacted and any causes will be investigated. If a higher frequency<br />

<strong>of</strong> cases with impaired image quality is detected at one imaging site, retraining and site<br />

visits will be employed.<br />

MRI reader certification: All imaging examiners will undergo training in <strong>the</strong> respective clinical<br />

departments before <strong>the</strong>y enter <strong>the</strong> study. The potential examiner will first be certified<br />

after he/she has been trained for at least 3 months. During this period, each trainee is required<br />

to examine at least 2 x 25 images for continuously distributed findings and at least 2<br />

x 100 findings for dichotomous variables. Intra- and interobserver variabilities for selected<br />

major characteristics are determined. Statistical analyses are conducted using Bland and<br />

Altman plots for continuously distributed variables. The mean bias will not exceed 5%, and<br />

2 SD <strong>of</strong> <strong>the</strong> bias will not exceed 25%. Statistical analyses for dichotomized variables are<br />

performed by κ statistics, whereby κ > 0.8 is expected. Trainees who do not fulfill <strong>the</strong> quality<br />

criteria after 3 months <strong>of</strong> training are subjected to fur<strong>the</strong>r mandatory training. The additional<br />

training includes an individualized calibration <strong>of</strong> <strong>the</strong> trainee based on <strong>the</strong> results <strong>of</strong> his/her<br />

first certification. Should <strong>the</strong>re be no improvement, <strong>the</strong> trainee is replaced by ano<strong>the</strong>r person.<br />

A web-based certification procedure is planned.<br />

Fur<strong>the</strong>r efforts focus on <strong>the</strong> external validity <strong>of</strong> <strong>the</strong> data. Imaging modalities will be intensively<br />

discussed with national and international experts in advance <strong>of</strong> <strong>the</strong> field phase <strong>of</strong><br />

<strong>the</strong> <strong>National</strong> <strong>Cohort</strong>. To support comparability <strong>of</strong> <strong>the</strong> <strong>National</strong> <strong>Cohort</strong> with o<strong>the</strong>r populationbased<br />

studies, we will invite external observers to take part in <strong>the</strong> web-based certification<br />

procedures on a regular basis.<br />

A.5.8 quality assurance and quality control during follow-up<br />

In parallel to <strong>the</strong> processes described above, <strong>the</strong> study centers will be busy with continuously<br />

maintaining contact to <strong>the</strong> o<strong>the</strong>r members <strong>of</strong> <strong>the</strong> cohort, deriving information from <strong>the</strong>se<br />

sites, from <strong>the</strong>ir own doctors, and from institutions and o<strong>the</strong>r data sources as described in<br />

Sect. A.3.8. In addition to <strong>the</strong> quality management aspects presented in that section, <strong>the</strong><br />

more general task will be to implement a system that makes it possible to compare <strong>the</strong> results<br />

<strong>of</strong> <strong>the</strong> different center-specific monitoring processes at <strong>the</strong> central level. A set <strong>of</strong> quality<br />

indicators, e.g., percentage <strong>of</strong> participants who are successfully tracked, percentage <strong>of</strong><br />

responders giving information on contacts to <strong>the</strong> health system, completeness <strong>of</strong> vital <strong>status</strong><br />

or death certificate information, will be created and compared across centers. By using this<br />

benchmark process we can identify possible problems, but also chances for improvement.<br />

Concerning endpoint information, a step-wise validation procedure is envisaged:<br />

1. For cancer, stroke, and CHD all events <strong>of</strong> category (a) and a random sample <strong>of</strong> category<br />

(b), as described in Sect. A.3.7.5 will be seen by a central endpoint committee.<br />

2. For all o<strong>the</strong>r endpoints, a random sample <strong>of</strong> <strong>the</strong> documented events will be assessed<br />

by dedicated expert panels.<br />

163<br />

A.5

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