Data collection

JV J. Vrijsen
CE C. L. van Erpecum
SR S. E. de Rooij
JN J. Niebuur
NS N. Smidt
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Participants performed the digital RFFT independently within an application using an Apple iPad Pro (2018, 12.9 inch, 64 GB), an Apple Pencil (2nd generation), and headphone. The software for the application was developed by Bruna & Bruna (www.brunabruna.nl). The digital RFFT started with a video instruction about the assignment. In line with the Standard Operating Procedure of the RFFT [15], participants also received feedback on the performance of the practice sheets through correction videos on the iPad. If instructions were not clear enough yet, participants were also able to watch example videos before and during the tests showing both simple and more complex examples for each point configuration.

During the paper-and-pencil RFFT, a trained examiner provided test instructions according to the Standardized Operating Procedure of the RFFT [15]. First, participants received a practice sheet with three boxes on which they could draw unique designs by connecting two or more dots. The trained examiners corrected the participant if needed. Then, the participants performed this task on a sheet of 35 boxes with identical configurations of points, in which they should draw as many unique designs as possible within 60 s. The participants performed these tasks on a total of five different practice and test sheets which consisted of different point configurations (Fig. 1).

The five RFFT sheets [9]

The paper-and-pencil RFFT was performed on an 8.5 × 11″ sheet of paper with a red marker. All five RFFT sheets have a different point configuration.

For the digital RFFT, each individual box was automatically identified as a unique design, perseverative error, erroneous design, or empty box through an algorithm. Criteria for identifying unique designs, perseverative errors, erroneous designs and empty boxes are shown in Additional file 1: Appendix 2. Subsequently, the number of unique designs and perseverative errors were automatically computed and stored in a database.

For the digital and paper-and-pencil RFFT at the first visit, two independent and trained human raters identified each individual box as a unique design, perseverative error, erroneous design, or empty box. Furthermore, they scored the number of unique designs and perseverative errors. Additional scoring was performed when the two raters’ number of unique designs or perseverative errors differed on more than two points in one sheet or more than four points on the total score of the five sheets [13]. Subsequently, agreement by the two raters was obtained through a consensus meeting. If the two raters’ number of unique designs or perseverative errors differed two points or less in one sheet or four points or less on the total score for the five sheets, the scores of the two raters were averaged. The fact that scoring of the digital RFFT at the first visit was also performed by human raters allowed us to compare the automatic and manual scoring of the digital RFFT, and thereby, to evaluate the scoring performance of the algorithm against a common reference standard.

Participants filled out a questionnaire on the socio-demographic characteristics age, gender, and highest level of completed education. Highest level of completed education was categorized into low, middle, and high based on the International Standard Classification of Education [14] (Additional file 1: Appendix 1). Additionally, highest level of education was also dichotomized into ≤ 12 years of education and > 12 years of education [16]. Furthermore, for practicability purposes, the trained examiner reported potential problems of the digital RFFT as well as how often the participants watched the videos with examples.

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