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Existing descriptions of trust in health care largely assume a straightforward association between a patient’s relationship with a regular provider and his or her trust in health care. I extend status characteristics theory (SCT) and social identity theory (SIT) to suggest greater variability in this association by investigating the role of social differences between patients and their regular providers. Whereas the SIT extension predicts lower trust in dissimilar than similar dyads, the predictions from the SCT extension depend on status in dissimilar dyads. Further, research examining how social differences in patient–provider dyads shape trust largely emphasizes racial differences, but the theories implicate gender differences too.

I analyze a longitudinal dataset of patient–provider dyads offering a conservative test of the extensions.

Results generally support predictions from the SCT extension. Specifically, patients’ status based on differences in either race or gender: (1) is inversely related to their trust in health care and (2) influences the resiliency of their trust, whereby the degree health care met prior expectations matters less (more) for the trust of low (high) status patients than equal status patients.

When patients and providers differ on both race and gender, findings sometimes depart from predictions. This indicates differences in two social categories is a unique situation where the contributions of each category are distinct from that of the other.

This research extends SCT to explain greater variability in the connection between patient–provider dyads and trust in health care, while also showing how gender compares to race.

The health workforce of the 21st century has enormous challenges; health professionals need to be both experts in their field and equipped with leadership and managerial skills. These skills are not part of the regular curriculum, so specific programs bridging this gap are required. Since 2001, FAIMER®, with eight centers across the globe, has worked to create health professions education leaders through transformational learning experiences, developing a global community of practice encompassing over 40 countries. We describe the design, implementation, evaluation, and evolution of the leadership and management curriculum component of the global Institute over 15 years. The curriculum is developed and updated through practices that keep faculty and fellows connected, aligned, and learning together. The article highlights the unique features, challenges faced, and sustainability issues. With a robust mixed methods evaluation, there are substantial reasons to believe that the model works, is adaptable and replicable to meet local needs. The program is playing an important role of answering the call for training positive, strengths-based, collaborative leaders who are socially accountable and embrace the challenges for high quality equitable health care around the globe

Whilst Hong Kong is suffering from a limited supply of developable land in its major urban areas, some open spaces are frequently criticized as inconvenient for users, consequently leading to an ineffective use pattern. How to enhance the performance of open space is therefore a critical issue faced by city planners. As the conventional accessibility model, which is mainly described with respect to maximum walking distance or service radius, is inadequate to give an account of the issue, this paper accordingly indicates an alternative approach and seeks an explanation from the urban configuration and the way it conditions pedestrian movement pattern. Through investigating the relationship between urban configuration, pedestrian movement and accessibility and use of open spaces based on the Wanchai District of Hong Kong, which particularly epitomizes various urban grids that may have different consequences on the utilization of open space, this study aims to examine whether there is a consistent relationship existing in different spatial grids or whether the relationship varies from different layout patterns. It is hoped that the findings can be employed to improve the performance of open spaces in the urban areas of Hong Kong, in addition to other similar urban environment.

The attributes that influence the selection of applicants and the relevant crediting decisions are naturally distinguished by interactions and interdependencies. A new method of possibilistic discrimination analysis (MPDA) was developed for the second stage to address this phenomenon. The method generates positive and negative discrimination measures for each alternative applicant in relation to a particular attribute. The obtained discrimination pair reflects the interaction of attributes and represents intuitionistic fuzzy numbers (IFNs). For the aggregation of applicant's discrimination intuitionistic fuzzy assessments (with respect to attributes), new intuitionistic aggregation operators, such as AsP-IFOWA and AsP-IFOWG, are defined and studied. The new operators are certain extensions of the well-known Choquet integral and Yager OWA operators. The extensions, in contrast to the Choquet aggregation, take into account all possible interactions of the attributes by introducing associated probabilities of a fuzzy measure.

For optimal planning of investments distribution and decreasing of credit risks, it is crucial to have selected projects ranked within deeply detailed investment model. To achieve this, a new approach developed in this article involves three stages. The first stage is to reduce a possibly large number of applicants for credit, and here, the method of expertons is used. At the second stage, a model of improved decisions is built, which reduces the risks of decision making. In this model, as it is in multi-attribute decision-making (MADM) + multi-objective decision-making (MODM), expert evaluations are presented in terms of utility, gain, and more. At the third stage, the authors construct the bi-criteria discrete intuitionistic fuzzy optimization problem for making the most profitable investment portfolio with new criterion: 1) Maximization of total ranking index of selected applicants' group and classical criterion and 2) Maximization of total profit of selected applicants' group.

The example gives the Pareto fronts obtained by both new operators, the Choquet integral and Yager OWA operators also well-known TOPSIS approach, for selecting applicants and awarding credits. For a fuzzy measure, the possibility measure defined on the expert evaluations of attributes is taken.

The comparative analysis identifies the applicants who will receive the funding sequentially based on crediting resources and their requirements. It has become apparent that the use of the new criterion has given more credibility to applicants in making optimal credit decisions in the environment of extended new operators, where the phenomenon of interaction of all attributes was also taken into account.

Fundamental analysis is aimed at assessing the intrinsic value of companies based on publicly available accounting information. Thus, the main purpose of fundamental analysis research should be identifying the main determinants of value, establishing empirical relations between them and fundamental accounting variables, and finally, predicting the future behavior of such variables to estimate the value of the firm. Traditional fundamental analysis ignores the existence of some intangible assets, such as intellectual capital, that are currently considered as the main determinants of value. Human capital is an essential component of intellectual capital. This paper provides evidence on the extent to which the quality of human resources is related to the value of accounting variables that are used in fundamental analysis due to their perceived usefulness as proxies for investors' expectations on the firm's future profitability and growth in both, earnings and shareholders' equity.