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Modelling Complex Relationships Between Sustainable Competitiveness and Digitalization

Digitalization is the core component of future development in the 4.0 industrial era. It represents a powerful mechanism for enhancing the sustainable competitiveness of economies worldwide. Diverse triggering effects shape future digitalization trends. Thus, the main research goal in this study is to use sustainable competitiveness pillars (such as social, economic, environmental and energy) to evaluate international digitalization development. The proposed empirical model generates comprehensive knowledge of the sustainable competitiveness-digitalization nexus. For that purpose, a nonlinear regression has been applied on gathered annual data that consist of 33 European countries, ranging from 2010 to 2016. The dataset has been deployed using Bernoulli’s binominal distribution to derive training and testing samples and the entire analysis has been adjusted in that context. The empirical findings of artificial neural networks (ANN) suggest strong effects of the economic and energy use indicators on the digitalization progress. Nonlinear regression and ANN model summary report valuable results with a high degree of coefficient of determination (R2>0.9 for all models). Research findings state that the digitalization process is multidimensional and cannot be evaluated as an isolated phenomenon without incorporating other relevant factors that emerge in the environment. Indicators report the consumption of electrical energy in industry and households and GDP per capita to achieve the strongest effect.

The historical turf farms of Iceland: architecture, building technology and the indoor environment

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Midwifery students’ perspectives on how role models contribute to becoming a midwife

Background: The dynamics of maternal and newborn care challenge midwifery education programs to keep up-to-date. To prepare for their professional role in a changing world, role models are important agents for student learning. Objective: To explore the ways in which Dutch and Icelandic midwifery students identify role models in contemporary midwifery education. Methods: We conducted a descriptive, qualitative study between August 2017 and October 2018. In the Netherlands, 27 students participated in four focus groups and a further eight in individual interviews. In Iceland, five students participated in one focus group and a further four in individual interviews. All students had clinical experience in primary care and hospital. Data were analyzed using inductive content analysis. Results: During their education, midwifery students identify people with attitudes and behaviors they appreciate. Students assimilate these attitudes and behaviors into a role model that represents their ‘ideal midwife’, who they can aspire to during their education. Positive role models portrayed woman-centered care, while students identified that negative role models displayed behaviors not fitting with good care. Students emphasized that they learnt not only by doing, they found storytelling and observing important aspects of role modelling. Students acknowledged the impact of positive midwifery role models on their trust in physiological childbirth and future style of practice. Conclusion: Role models contribute to the development of students’ skills, attitudes, behaviors, identity as midwife and trust in physiological childbirth. More explicit and critical attention to how and what students learn from role models can enrich the education program.

Challenges in migrant women’s maternity care in a high-income country

Introduction This study aims to explore maternal and perinatal outcomes of migrant women in Iceland. Material and methods This prospective population-based cohort study included women who gave birth to a singleton in Iceland between 1997 and 2018, comprising a total of 92 403 births. Migrant women were defined as women with citizenship other than Icelandic, including refugees and asylum seekers, and categorized into three groups, based on their country of citizenship Human Development Index score. The effect of country of citizenship was estimated. The main outcome measures were onset of labor, augmentation, epidural, perineum support, episiotomy, mode of birth, obstetric anal sphincter injury, postpartum hemorrhage, preterm birth, a 5-minute Apgar <7, neonatal intensive care unit admission and perinatal mortality. Odds ratios (ORs) and 95% confidence intervals (CIs) for maternal and perinatal outcomes were calculated using logistic regression models. Results A total of 8158 migrant women gave birth during the study period: 4401 primiparous and 3757 multiparous. Overall, migrant women had higher adjusted ORs (aORs) for episiotomy (primiparas: aOR 1.43, 95% CI 1.26–1.61; multiparas: 1.39, 95% CI 1.21–1.60) and instrumental births (primiparas: 1.14, 95% CI 1.02–1.27, multiparas: 1.41, 95% CI 1.16–1.72) and lower aORs of induction of labor (primiparas: 0.88, 95% CI 0.79–0.98; multiparas: 0.74, 95% CI 0.66–0.83), compared with Icelandic women. Migrant women from countries with a high Human Development Index score (≥0.900) had similar or better outcomes compared with Icelandic women, whereas migrant women from countries with a lower Human Development Index score than that of Iceland (<0.900) had additionally increased odds of maternal and perinatal complications and interventions, such as emergency cesarean and postpartum hemorrhage. Conclusions Women’s citizenship and country of citizenship Human Development Index scores are significantly associated with a range of maternal and perinatal complications and interventions, such as episiotomy and instrumental birth. The results indicate the need for further exploration of whether Icelandic perinatal healthcare services meet the care needs of migrant women.

Een destination marketingcampagne en een vulkaan: het succes van Inspired by Iceland