The process of implementing a new baby-friendly hospital initiative for nurses: a grounded theory study

Maternity nursing practice is changing across Canada with the movement toward becoming “baby friendly.” The World Health Organization (WHO) recommends the Baby-Friendly Hospital Initiative (BFHI) as a standard of care in hospitals worldwide. Very little research has been conducted with nurses to explore the impact of the initiative on nursing practice. The purpose of this study, therefore, was to examine the process of implementing the BFHI for nurses. The study was carried out using Corbin and Strauss’s method of grounded theory. Theoretical sampling was employed, which resulted in recruiting and interviewing 13 registered nurses whose area of employment included neonatal intensive care, postpartum, and labour and delivery. The data analysis revealed a central category of resisting the BFHI. All of the nurses disagreed with some of the 10 steps to becoming a baby-friendly hospital as outlined by the WHO. Participants questioned the science and safety of aspects of the BFHI. Also, participants indicated that the implementation of this program did not substantially change their nursing practice. They empathized with new mothers and anticipated being collectively reprimanded by management should they not follow the initiative. Five conditions influenced their responses to the initiative, which were (a) an awareness of a pro-breastfeeding culture, (b) imposition of the BFHI, (c) knowledge of the health benefits of breastfeeding, (d) experiential knowledge of infant feeding, and (e) the belief in the autonomy of mothers to decide about infant feeding. The identified outcomes were moral distress and division between nurses. The study findings could guide decision making concerning the implementation of the BFHI.

Exploring the Process of Meaning-making after Partner Suicide

Meaning-making is increasingly recognized as a fundamental aspect of the grief experience. This study investigated the process of meaning-making in the narratives of individuals whose partners died by suicide, exploring their meaning reconstruction in response to this form of loss. The narratives of users of a public online grief support forum (n = 50) were analyzed using the Meaning of Loss Codebook (Gillies, Neimeyer, & Milman, 2014), which consists of core categories of meaning of loss in response to the death of a loved one. The results indicated that these individuals predominantly experienced negative affect, a lack of understanding associated with the loss, and a longing for their partners. The grief experience of participants in this study was marked by substantial psychological distress and an ongoing struggle to make sense of and find meaning in this type of loss. It is clear that grieving the loss of a partner as a result of suicide presents unique challenges to meaning-making in comparison to other types of loss. Given the importance of this aspect of adjustment to loss, these findings deepen the understanding of this component of grief and inform the provision of support for those grieving a loved one who died by suicide.

Design and implementation of a relative localization system for ground and aerial robotic teams

The main focus of this thesis is to address the relative localization problem of a heterogenous team which comprises of both ground and micro aerial vehicle robots. This team configuration allows to combine the advantages of increased accessibility and better perspective provided by aerial robots with the higher computational and sensory resources provided by the ground agents, to realize a cooperative multi robotic system suitable for hostile autonomous missions. However, in such a scenario, the strict constraints in flight time, sensor pay load, and computational capability of micro aerial vehicles limits the practical applicability of popular map-based localization schemes for GPS denied navigation. Therefore, the resource limited aerial platforms of this team demand simpler localization means for autonomous navigation. Relative localization is the process of estimating the formation of a robot team using the acquired inter-robot relative measurements. This allows the team members to know their relative formation even without a global localization reference, such as GPS or a map. Thus a typical robot team would benefit from a relative localization service since it would allow the team to implement formation control, collision avoidance, and supervisory control tasks, independent of a global localization service. More importantly, a heterogenous team such as ground robots and computationally constrained aerial vehicles would benefit from a relative localization service since it provides the crucial localization information required for autonomous operation of the weaker agents. This enables less capable robots to assume supportive roles and contribute to the more powerful robots executing the mission. Hence this study proposes a relative localization-based approach for ground and micro aerial vehicle cooperation, and develops inter-robot measurement, filtering, and distributed computing modules, necessary to realize the system. The research study results in three significant contributions. First, the work designs and validates a novel inter-robot relative measurement hardware solution which has accuracy, range, and scalability characteristics, necessary for relative localization. Second, the research work performs an analysis and design of a novel nonlinear filtering method, which allows the implementation of relative localization modules and attitude reference filters on low cost devices with optimal tuning parameters. Third, this work designs and validates a novel distributed relative localization approach, which harnesses the distributed computing capability of the team to minimize communication requirements, achieve consistent estimation, and enable efficient data correspondence within the network. The work validates the complete relative localization-based system through multiple indoor experiments and numerical simulations. The relative localization based navigation concept with its sensing, filtering, and distributed computing methods introduced in this thesis complements system limitations of a ground and micro aerial vehicle team, and also targets hostile environmental conditions. Thus the work constitutes an essential step towards realizing autonomous navigation of heterogenous teams in real world applications.