Page 106 - Shared Guideline Development Experiences in Fertility Care

Chapter 5
Data collection
Use of the tool
Actual use
On the homepage, all visitors were asked to create a nickname and password, which was mandatory for actively using the tool. Additionally, visitors were asked to voluntarily ll out a registration form for study purposes. is registration form consisted of two parts, including questions on: 1) conventional background characteristics (i.e. age, gender, and level of education) and 2) infertility-related variables (i.e. source of infertility (primary/secondary), having a living child (yes/ no), duration of infertility (months), and last treatment phase). Additionally, participants were asked to provide their email address for receiving a monthly newsletter. To assess the use of the tool, the number of unique visitors, registered participants, and visits were recorded. Members of the project were excluded from participation. Data were automatically generated on the website and collected.
Usability of the tool
For assessing the usability of the tool, we used the validated ten-item System Usability Scale (SUS), which has a high level of face validity for measuring usability of so ware or information technology [27]. With this SUS all registered participants of the specialized online participatory tool were asked to score 10 usability statements on a ve-point Likert scale. e statements covered a variety of aspects of system usability (such as the need for support, training, and complexity) measured with scores from 0 to 100. e target SUS score was >70, representing ‘good’ usability [30]. e link to this survey was included in the monthly newsletters, which are sent to all registered participants who provided their email address as willing participants in the evaluation of the tool.
Representativeness of users
To assess the representativeness of the registered participants, their background characteristics were compared to the characteristics of a valid representative Dutch hospital cohort of female infertile patients [31]. e sample size of this hospital population was calculated at 170 by applying the formula on a precise estimate of a proportion: N=(p*(1–p) *Z2 a/2)/d2, using an estimated proportion of p=0.5, a proportion of error of d=0.075, and a degree of con dence of Z2a/2=1.96.
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