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Strong leadership has been shown to foster change, including loyalty, improved performance and decreased error rates, but there is a dearth of evidence on effectiveness of leadership development programs. To ensure a return on the huge investments made, evidence-based approaches are needed to assess the impact of leadership on health-care establishments. As a part of a pan-Canadian initiative to design an effective evaluative instrument, the purpose of this paper was to identify and summarize evidence on health-care outcomes/return on investment (ROI) indicators and metrics associated with leadership quality, leadership development programs and existing evaluative instruments.

The authors performed a scoping review using the Arksey and O’Malley framework, searching eight databases from 2006 through June 2016.

Of 11,868 citations screened, the authors included 223 studies reporting on health-care outcomes/ROI indicators and metrics associated with leadership quality (73 studies), leadership development programs (138 studies) and existing evaluative instruments (12 studies). The extracted ROI indicators and metrics have been summarized in detail.

This review provides a snapshot in time of the current evidence on ROI indicators and metrics associated with leadership. Summarized ROI indicators and metrics can be used to design an effective evaluative instrument to assess the impact of leadership on health-care organizations.

This is the first study to compile statistical data to describe the functions and responsibilities of physicians in formal and informal leadership roles in the Canadian health system. This mixed-methods research study offers baseline data relative to this purpose, and also describes physician leaders’ views on fundamental aspects of their leadership responsibility.

A survey with both quantitative and qualitative fields yielded 689 valid responses from physician leaders. Data from the survey were utilized in the development of a semi-structured interview guide; 15 physician leaders were interviewed.

A profile of Canadian physician leadership has been compiled, including demographics; an outline of roles, responsibilities, time commitments and related compensation; and personal factors that support, engage and deter physicians when considering taking on leadership roles. The role of health-care organizations in encouraging and supporting physician leadership is explicated.

The baseline data on Canadian physician leaders create the opportunity to determine potential steps for improving the state of physician leadership in Canada; and health-care organizations are provided with a wealth of information on how to encourage and support physician leaders. Using the data as a benchmark, comparisons can also be made with physician leadership as practiced in other nations.

There are no other research studies available that provide the depth and breadth of detail on Canadian physician leadership, and the embedded recommendations to health-care organizations are informed by this in-depth knowledge.

The purpose of this paper is to determine sales drivers for different OTC product categories.

The study uses data from both consumer and retail panels, which are gathered for various product categories. These long‐term data are analyzed per product category with two specific regression models, mainly time‐series analysis with VAR models and Shapley value regression.

It is found that purchase intention drives sales a lot in general. Besides, it is very important to distinguish seasonal vs non‐seasonal markets. The trend coefficient, which implies the stage of maturity of the market, indicates more or less saturated markets for the examples. The proposed models can be easily applied to different OTC categories without a lot of customization.

The study does not take into account different outlets (e.g. online, supermarkets) and does not estimate interaction effects between the single drivers.

The paper provides the market researcher with a guideline on how to proceed to model OTC product categories, e.g. which data are to be used, which models are to be estimated, which conclusions can be drawn.

The study develops an analysis approach which is readily applicable to different OTC product categories, which exhibit very distinct market characteristics. The advantage of this approach is that it applies a standardized tool kit of methods to analyze highly varying markets.

The purpose of this paper is to investigate the role of emerging technologies in the promotion of health and well-being at the urban, domestic and bodily scale, through the systematic examination of technologies such as physical sensing systems and physiological data monitoring, that are currently explored as drivers for achieving sustainable healthcare within a multi-scalar approach.

A comprehensive study of the various technologies associated with smart healthcare is provided, first investigating smart cities, physical sensing systems and geospatial data as potential enablers of public health. Then the discourse shifts towards exploring Smart Home technologies for healthcare, first reviewing strategies of enhancing the home environment with multisensory components, and then discussing the emergence of physiological monitoring devices and their interconnection with the domestic and urban environment.

While the implementation of Internet of Things, physical sensing systems and geospatial analytics in extracting and analyzing the multiple information layers of the urban, the domestic and the bodily environment, has been widely explored, there is little consideration on the transition from the domestic to the urban level, and while within each of the different scales, the need for a multi-componential approach is addressed, there is minimal effort towards its materialization.

The major contribution of this study therefore lies in laying the ground for further research towards a multi-scalar relational approach that views smart healthcare as a trajectory, binding the bodily, to the domestic and the urban fabric.