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Background: The city of Wrocław in Poland represents one of Central Europeans oldest capitals of science with numerous Nobel laureates. Due to a long history of political suppressions with Nazi Germany and Communism from 1933 until 1989, its scientific community was suppressed for more than half a century.
Methods: The present study assessed scientific activities in the field of social and neighbouring sciences using density equalizing mapping. On the basis of the NewQIS (New Quality and Quantity Indices in Science) platform and the Social Sciences Citation Index (SSCI) of the Web of Science database, a total of 1787 articles originating from Wrocław were identified between 1966 and 2017.
Results: In total, 549 research collaborations of Wrocław with 96 different countries were present (30.7%). Among the 107 research areas the highest activity was found for the field of Business and Economics with n = 272 articles (average citation rate (AVR) of 12.54), followed by Psychology (n = 252 articles, AVR = 9.06), Psychiatry (n = 205 articles, AVR = 4.74) and Public, Environmental and Occupational Health (n = 145 articles, AVR = 7.96). The highest AVR was found for Operations Research (25.36 with n = 87 articles). Density equalizing mapping procedures revealed a global pattern of social sciences research collaborations with scientists from Germany, the UK and the US as the primary cooperating partner of Wrocław. The different countries had major differences in the area of research collaborations.
Conclusions: This is the first study that depicts the global network of Wrocław scientific activities in the field of social sciences. The exorbitant increase in research activity from 2006 onwards can lead to the assumption that Wrocław social sciences encounter a fruitful future.
Purpose: Collaborative care is effective in improving symptoms of patients with depression. The aims of this study were to characterize symptom trajectories in patients with major depression during one year of collaborative care and to explore associations between baseline characteristics and symptom trajectories.
Methods: We conducted a cluster-randomized controlled trial in primary care. The collaborative care intervention comprised case management and behavioral activation. We used the Patient Health Questionnaire-9 (PHQ-9) to assess symptom severity as the primary outcome. Statistical analyses comprised latent growth mixture modeling and a hierarchical binary logistic regression model.
Results: We included 74 practices and 626 patients (310 intervention and 316 control recipients) at baseline. Based on a minimum of 12 measurement points for each intervention recipient, we identified two latent trajectories, which we labeled "fast improvers" (60.5%) and "slow improvers" (39.5%). At all measurements after baseline, "fast improvers" presented higher PHQ mean values than "slow improvers". At baseline, "fast improvers" presented fewer physical conditions, higher health-related quality of life, and had made fewer suicide attempts in their history.
Conclusions: A notable proportion of 39.5% of patients improved only "slowly" and probably needed more intense treatment. The third follow-up in month two could well be a sensible time to adjust treatment to support "slow improvers".