The co-management of the Te Arawa Lakes

<p>The restoration of indigenous rights to and interests in their traditional natural resources needs to be accompanied by practical ways in which indigenous values in relation to a resource can be met. Co-management or co-governance has emerged as an option for indigenous people in settling historical land and resource claims. Co-management offers a way in which governments and non-government entities such as and community or indigenous peoples can share decision-making over natural resources. However there are many different types and levels of co-management with, varying levels of participation and decision-making authority. Some are more effective than others at recognising indigenous values, authority and relationships. This dissertation discusses the New Zealand example of the co-management of the Te Arawa Lakes and provides an initial assessment of its cultural and environmental goals.</p>

The co-management of the Te Arawa Lakes

<p>The restoration of indigenous rights to and interests in their traditional natural resources needs to be accompanied by practical ways in which indigenous values in relation to a resource can be met. Co-management or co-governance has emerged as an option for indigenous people in settling historical land and resource claims. Co-management offers a way in which governments and non-government entities such as and community or indigenous peoples can share decision-making over natural resources. However there are many different types and levels of co-management with, varying levels of participation and decision-making authority. Some are more effective than others at recognising indigenous values, authority and relationships. This dissertation discusses the New Zealand example of the co-management of the Te Arawa Lakes and provides an initial assessment of its cultural and environmental goals.</p>

A Large-Scale Collection Review with Faculty Collaboration: A Comprehensive View

Villanova University’s Falvey Memorial Library developed a multiyear comprehensive and strategic collection review of print monographs. In this paper, the authors focus on the operational components of the project, such as generating potential deselection lists with GreenGlass, convening working groups to plan the project, developing strategies for faculty outreach and faculty collection review, and analyzing deselection and retention data. The authors share decision-making processes as well as lessons learned that were involved in the project design and implementation phases throughout the extensive collection review project.

Backtalk: Toward racial equity in public schooling: Less talk, more action

As education leaders become more aware of inequity and racial injustice, they have a responsibility to take action to address those issues as in their schools. Nancy Gutiérrez and Gislaine N. Ngounou explain that putting that learning into action will require leaders to follow four principles that they call the ABCDs: Awareness, Bravery, Community voice, and share Decision making.

Clinical Efficiency Analysis of Share Decision Making in the Atrial Fibrillation Patients

Background: Atrial Fibrillation (AF) prevalence rate is about 2%-3% worldwide. The risk of stroke in patients with AF is 4 -5 times than normal. It’s important to take oral anticoagulant therapies to prevent stroke.Aims: The purpose of this study was to estimate whether share decision making (SDM) could lower the anxiety and improve the intension of medical decision or not.Methods: This was one-group pretest-posttest study design. The study contained 21 patients who had hospitalized following diagnosis and treatment of AF pectoris in Cardiology in the Veterans General Hospital. After using health education, patient filled out the questionnaire. TREND guideline has been adhered to in the reporting of this study.Results: The anxiety level decrease after the SDM from 2.8 to 1.2 points (p-value<0.05) and the rate of the intension to choose medication increase from 57% to 76%. The promote factors are "After patient understand the disease and treatment, they are ready for consultation (83%)". Medical staff believes that the relevant factors of "System-related difficulties" are "Insufficient time to talk with patient (45%)".Conclusion: Both medical staff and patients have positive feedback and statistically significant differences in affecting the patient's medical willingness and reducing patient anxiety in SDM. It is important to help patients to think and evaluate carefully through SDM and determine the most appropriate treatment.

COMMUNICATION AND EMPATHY WITHIN PERSON-CENTERED MEDICINE: A DEVELOPMENTAL POINT OF VIEW

Communication between patients and health care providers (HCP) is at the heart of medicine and even more within its person-centered paradigm. Within a person centered medicine (PCM) perspective, it is thus crucial, for both the HCP and the patient, to build on a relationship with the objective to establish a therapeutic alliance and share decision making related to the patient’s health issues and to integrate the subjective aspects (and not only the objective aspects) of these health Issues. After showing that the effects of communication go beyond mere cognitive and affective sharing, particularly in highly emotional relations, this paper’sobjective is to understand more thoroughly what is transmitted in the patients/HCP relation and how some of the child and adolescent developmental psychiatry processes (i.e., early mother–baby interactions and transgenerational transmission of attachment) provide good models to understand this transmission.Building on these models, the paper will discuss how and at which conditions, the HCP’s narrative empathy plays a major role to access to the patient’s subjectivity through the HCP’s subjective experience. It concludes that, therefore, subjectivity of the HCPs should not be seen as a negative side effect of the patient–HCP (or the patient–team) relation but as a crucial clinical tool in person-centered diagnostics and cares if HCPs are properly trained and educated to use their feelings and representations as tools in individual or collective deliberations. But one has to be aware that there is no empathy without subjectivity.

Orchestrating the C3 Journey of the Digital Enterprise

As businesses embrace digital technologies and drive business growth, this transformation demands a reimagination of their products, processes, and work beyond just “digitalization.” The enterprise starts by capturing diverse sensor data and integrates just-in-time data to achieve “connected” stage. It further uses data along with contextual intelligence to drive integrated decisions in “collaborative” stage. It aspires to share decision making between machines and humans and evolves into “cognitive” stage. In this C3 journey—connected to collaborative, further to cognitive—enterprises need to take advantage of innovative technologies across machines, facilities, and operations in the ecosystem of products, processes, and partners. The authors highlight the nuances and opportunities across the C3 journey focusing on manufacturing value chains. Customers can orchestrate their C3 journey using innovative digital solutions outlined here for information sharing and interactive analytics that will deliver best business results with data-driven decisions.

Prognosis

Prognostication of life expectancy is one of the three main components of medical intervention, along with diagnosis and therapy. The prediction of survival is important for clinicians to decide the goal of care, for patients and families to prepare for the time ahead, and for both to obtain good and honest communication and share decision-making. This chapter presents different tools of prognostication during the trajectory of a serious chronic illness, particularly cancer. An accurate prognostication may lead to different care planning and care settings. Prognosis is an important referral criteria for palliative care. During the past few years, several prognostic factors have been used and some prognostic scores have been developed, but these are still underused in clinical practice. Finally, further research is required to improve the accuracy of prognostication of life expectancy in patients with serious chronic illnesses.