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Günther Rezniczek, Laura Küppers, Hubertus Heuer, Lukas Hefler, Bernd Buerkle, Clemens Tempfer

• \(\bf Background:\) The internet has become an easily accessible and widely used source of healthcare information. There are, however, no standardized or commonly accepted criteria for the quality of Obstetrics and Gynecology websites. In this study, we aimed to evaluate the quality of websites of Obstetrics and Gynecology departments in German-speaking countries and to compare websites nationally and internationally. \(\bf Methods:\) We scored 672 websites from Germany (n = 566), Austria (n = 57), and Switzerland (n = 49) using the objective criteria: Google search rank (2 items), technical aspects (11 items), navigation (8 items), and content (6 items) for a 26 point score. Scores were compared nationally and inter nationally. Multivariable regression models assessed good quality scores (\(\geq\)50% of maximum) as the dependent variables and country, academic affiliation, being member of a healthcare consortium, confessional affiliation, and content management system (CMS) use as independent variables. \(\bf Results:\) The mean score of websites was 13.8 \(\pm\) 3.3. 4.2% were rated as good (\(\geq\)75% of maximum), 61.8% as fair ((\(\geq\)50% of maximum). German (14.0 \(\pm\) 3.2) and Swiss (13.8 \(\pm\) 4.0) websites scored significantly higher compared to Austrian websites (11.6 \(\pm\) 2.5) (P < 0.001 and P = 0.005, respectively). Within Germany, academic had higher scores than non-academic departments (14.9 \(\pm\) 3.2 vs. 13.7 \(\pm\) 3.1, P < 0.001). Single institutions had higher scores compared to healthcare consortium institutions (14.1 \(\pm\) 3.2 vs. 13.2 \(\pm\) 2.6, P = 0.003). Departments in Northern and Southern states had higher scores compared to Eastern states (14.4 \(\pm\) 3.2 and 14.2 \(\pm\) 3.2 vs. 13.0 \(\pm\) 3.0, P < 0.001). In multivariate regression models, all subscores (all: P < 0.001) independently predicted a website’s reaching a good quality score, with navigation subscore as strongest predictor. Affiliations were predictors for some good individual subscores, but not for others. High content subscore was associated with good Google search rank, technical aspects, and navigation subscores. \(\bf Conclusions:\) The quality of websites of Obstetrics and Gynecology departments varies widely. We found marked differences depending on country, affiliation, and region.