Team Well-being and Resilience Practices in Hospice and Palliative Care

High functioning, resilient teams do not happen by chance. Teams, similar to individuals, need to be educated, nurtured and formed over time, by a consistent vision and process.  With proper team formation, the compassionate care of patients, families and colleagues can be developed, modeled and reinforced. Self-compassion is another focus to help caregivers cope with the stresses of the work and mitigate against burnout. The primary intervention which will be discussed is a regularly scheduled reflection process, e.g. 30 minutes weekly or 90 minutes monthly, with a pediatric hospice team, an inpatient palliative care team and an outpatient palliative care team. The reflection process incorporates mindful meditation, journaling, listening exercises, individual and group reflection to encourage and practice self-awareness, self-reflection, greater emotional intelligence and leadership skills. Specific tools employed include the Search Inside Yourself © Program, books by various authors, selected music, videos and personal journals. Qualitative feedback from team members, patient, family and colleague satisfaction scores has been positive. Buy-in from all team members, initially, was difficult, but over time, all team members have recognized the value of the process and have incorporated the exercises not only in their work, but in their personal lives and other roles/jobs. Other key success factors are organizational support for time for this process and individual champions to develop and lead the reflective process. The workshop will include a demonstration of exercises used in team reflections with learner participation.

Growth of YAG Single Crystals by Flux Method(Chemistry)

The growth of YAG single crystals by the slow cooling method using a PbO-PbF_2-B_2O_3 mixed flux was investigated. (1) The solubilities of YAG in PbO, PbF_2 and PbO-PbF_2-B_2O_3 were determined by the weight loss method in the temperature range from 800 to 1300℃. It is shown that the PbO-PbF_2-B_2O_3 mixed flux gave the largest solubility gradient but that PbO flux gave the maximum yield of YAG crystals. (2) The growth experiments were made at constant cooling rates of 1.3, 2.6, 5.2 and 10.4℃/h where the vertical temperature gradient along the crucible was varied from 0 to 15℃/cm. The optimum growth conditions were as follows ; temperature gradient : >6℃/cm, cooling rate : 1300℃. (3) The grown crystals composed of {110} with rare appearance of {211}. Observation of the growth sector of etched crystals revealed that {110} developed at the early stage of growth. (4) It is reported by previous investigators that the grown crystals dissolve in this flux system below 950℃, but no significant dissolution was observed in the solubility measurements and also in the growth process by slow cooling down to 850℃

Trabalhos finais orientados

Apenas foram migradas as páginas e/ou folhas que evidenciam a participação e/ou citação ao Dr. José Maria de Souza.BR IEC JMS AP UFPA AE OTA 003DossiêItensTrabalhos finais os quais contou com a participação do Dr. JMS como orientador de trabalhos de Graduação em Medicina (UFPA), Mestrado em Ciências Biológicas (UFPA, MPEG e EMBRAPA), Mestrado em Medicina Tropical (UFPA e IEC) e Doutorado em Teoria e Pesquisa do Comportamento (UFPA)

Effect of interaction between annual mean temperature and proportion of forest cover on the richness of narrow-ranging species.

<p>For narrow-ranging species, the definition of 100 grids is used (see Appendix S2 in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0093359#pone.0093359.s001" target="_blank">File S1</a>). Each point represents the relationship between the richness of narrow-ranging species and proportion of forest cover in each transect. Regression lines are based on the coefficients estimated with the simultaneous autoregressive model that incorporated the interaction term between these variables, at low temperature (upper 2.5% in the range of values in annual mean temperature, dotted line), mean temperature (50%, solid line), and high temperature (97.5%, broken line). Model performance is shown in Appendix S9 in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0093359#pone.0093359.s001" target="_blank">File S1</a>.</p