Aneta Abramowicz

Men’s disproportionate rate of suicide and substance use has been linked to problematic conformity to traditional masculine ideals. Mental health promotion interventions directed toward men should address the gender-specific needs of men; yet, no tools exist to provide such guidance. To address this need, the Check-Mate tool was developed as part of a global evaluation of the Movember Foundation’s Social Innovators Challenge (SIC). The tool provides an initial set of evidence-based guidelines for incorporating gender-related influences in men’s mental health promotion programs. This article describes the development of Check-Mate and an evaluation of its usability and usefulness. Using a qualitative descriptive approach, semistructured interviews were conducted with the leads for eight of the SIC projects; they used the tool for these. Data were analyzed using conventional content analysis. Overall, project leads found the tool user-friendly. Identified strengths of Check-Mate included its practicality, adaptability, usefulness for priming thinking on gender sensitization, and value in guiding program planning and implementation. With respect to limitations, project leads explained that the complexity of men’s mental health promotion programming may limit applicability of some or all approaches included in Check-Mate. They also expressed concern about how using Check-Mate might reinforce hegemonic masculine ideals. It was suggested that examples illustrating the use of Check-Mate would be a helpful accompaniment to the tool. Findings indicate that Check-Mate is a useful guide in men’s mental health promotion programming. In addition to future testing of the tool in different settings, links between the tool’s approaches and program outcomes should be explored.

Smoking prevalence is very high among lesbian, gay, bisexual, transgendered and queer (LGBTQ+) youth and young adults (YYA) compared to non-LGBTQ+ YYA. A knowledge gap exists on culturally appropriate and effective prevention and cessation efforts for members of this diverse community, as limited interventions have been developed with and for this population, and there are very few studies determining the impact of these interventions. This study identifies the most salient elements of LGBTQ+ cessation and prevention interventions from the perspective of LGBTQ+ YYA. Three descriptions of interventions tailored for LGBTQ+ YYA (group cessation counselling, social marketing, and a mobile phone app with social media incorporated), were shared with LGBTQ+ YYA via 24 focus groups with 204 participants in Toronto and Ottawa, Canada. Open-ended questions focused on their feelings, likes and dislikes, and concerns about the culturally modified intervention descriptions. Framework analysis was used to identify overarching themes across all three intervention descriptions. The data revealed eight overarching themes across all three intervention descriptions. Smoking cessation and prevention interventions should have the following key attributes: 1) be LGBTQ+ − specific; 2) be accessible in terms of location, time, availability, and cost; 3) be inclusive, relatable, and highlight diversity; 4) incorporate LGBTQ+ peer support and counselling services; 5) integrate other activities beyond smoking; 6) be positive, motivational, uplifting, and empowering; 7) provide concrete coping mechanisms; and 8) integrate rewards and incentives. LGBTQ+ YYA focus group participants expressed a desire for an intervention that can incorporate these key elements. The mobile phone app and social media campaign were noted as potential interventions that could include all the essential elements.

Preventing chronic diseases, such as cancer, cardiovascular disease and diabetes, requires complex interventions, involving multi-component and multi-level efforts that are tailored to the contexts in which they are delivered. Despite an increasing number of complex interventions in public health, many fail to be ‘scaled up’. This study aimed to increase understanding of how and under what conditions complex public health interventions may be scaled up to benefit more people and populations. A realist synthesis was conducted and discussed at an in-person workshop involving practitioners responsible for scaling up activities. Realist approaches view causality through the linkages between changes in contexts (C) that activate mechanisms (M), leading to specific outcomes (O) (CMO configurations). To focus this review, three cases of complex interventions that had been successfully scaled up were included: Vibrant Communities, Youth Build USA and Pathways to Education. A search strategy of published and grey literature related to each case was developed, involving searches of relevant databases and nominations from experts. Data extracted from included documents were classified according to CMO configurations within strategic themes. Findings were compared and contrasted with guidance from diffusion theory, and interpreted with knowledge users to identify practical implications and potential directions for future research. Four core mechanisms were identified, namely awareness, commitment, confidence and trust. These mechanisms were activated within two broad scaling up strategies, those of renewing and regenerating, and documenting success. Within each strategy, specific actions to change contexts included building partnerships, conducting evaluations, engaging political support and adapting funding models. These modified contexts triggered the identified mechanisms, leading to a range of scaling up outcomes, such as commitment of new communities, changes in relevant legislation, or agreements with new funding partners. This synthesis applies and advances theory, realist methods and the practice of scaling up complex interventions. Practitioners may benefit from a number of coordinated efforts, including conducting or commissioning evaluations at strategic moments, mobilising local and political support through relevant partnerships, and promoting ongoing knowledge exchange in peer learning networks. Action research studies guided by these findings, and studies on knowledge translation for realist syntheses are promising future directions.

A multidisciplinary journal that focuses on public health and technology, public health informatics, mass media campaigns, surveillance, and innovation in public health practice and research. Also dedicated to rapid open data sharing during epidemics.

Introduction The Public Health Agency of Canada’s Multi-sectoral Partnerships Initiative, administered by the Centre for Chronic Disease Prevention (CCDP), brings together diverse partners to design, implement and advance innovative approaches for improving population health. This article describes the development and initial priorities of an action research project (a learning and improvement strategy) that aims to facilitate continuous improvement of the CCDP’s partnership initiative and contribute to the evidence on multi-sectoral partnerships. Methods The learning and improvement strategy for the CCDP’s multi-sectoral partnership initiative was informed by (1) consultations with CCDP staff and senior management, and (2) a review of conceptual frameworks to do with multi-sectoral partnerships. Consultations explored the development of the multi-sectoral initiative, barriers and facilitators to success, and markers of effectiveness. Published and grey literature was reviewed using a systematic search strategy with findings synthesized using a narrative approach. Results Consultations and the review highlighted the importance of understanding partnership impacts, developing a shared vision, implementing a shared measurement system and creating opportunities for knowledge exchange. With that in mind, we propose a six-component learning and improvement strategy that involves (1) prioritizing learning needs, (2) mapping needs to evidence, (3) using relevant datacollection methods, (4) analyzing and synthesizing data, (5) feeding data back to CCDP staff and teams and (6) taking action. Initial learning needs include investigating partnership reach and the unanticipated effects of multi-sectoral partnerships for individuals, groups, organizations or communities. Conclusion While the CCDP is the primary audience for the learning and improvement strategy, it may prove useful for a range of audiences, including other government departments and external organizations interested in capturing and sharing new knowledge generated from multi-sectoral partnerships.

This study demonstrates that when people attempt to identify a facial expression of emotion (FEE) by haptically exploring a 3D facemask, they are affected by viewing a simultaneous, task-irrelevant visual FEE portrayed by another person. In comparison to a control condition, where visual noise was presented, the visual FEE facilitated haptic identification when congruent (visual and haptic FEEs same category). When the visual and haptic FEEs were incongruent, haptic identification was impaired, and error responses shifted toward the visually depicted emotion. In contrast, visual emotion labels that matched or mismatched the haptic FEE category produced no such effects. The findings indicate that vision and touch interact in FEE recognition at a level where featural invariants of the emotional category (cf. precise facial geometry or general concepts) are processed, even when the visual and haptic FEEs are not attributable to a common source. Processing mechanisms behind these effects are considered

The current study addresses the well-known “figure/ground” problem in human perception, a fundamental topic that has received surprisingly little attention from touch scientists to date. Our approach is grounded in, and directly guided by, current knowledge concerning the nature of haptic processing. Given inherent figure/ground ambiguity in natural scenes and limited sensory inputs from first contact (a “haptic glance”), we consider first whether people are even capable of differentiating figure from ground (Experiments 1 and 2). Participants were required to estimate the strength of their subjective impression that they were feeling an object (i.e., figure) as opposed to just the supporting structure (i.e., ground). Second, we propose a tripartite factor classification scheme to further assess the influence of kinetic, geometric (Experiments 1 and 2), and material (Experiment 2) factors on haptic figure/ground segmentation, complemented by more open-ended subjective responses obtained at the end of the experiment. Collectively, the results indicate that under certain conditions it is possible to segment figure from ground via a single haptic glance with a reasonable degree of certainty, and that all three factor classes influence the estimated likelihood that brief, spatially distributed fingertip contacts represent contact with an object and/or its background supporting structure.

This study begins to address the nature of human haptic perceptual organization by examining "figure/ground: segmentation from a haptic perspective (i.e., differentiating an object from its supporting surface). The experiment focuses on the perception of the presence of an object via brief contact (i.e., a haptic glance) when both kinetic properties and geometric properties are manipulated. The results suggest that contact with objects that are moveable (cf. fixed) and tall (cf. short) greatly increases the perceived probability that an object is present. The effect of kinetics is further heightened when moveable objects have convexly curved bases.

Sighted blindfolded individuals can successfully classify basic facial expressions of emotion (FEEs) by manually exploring simple 2-D raised-line drawings (Lederman et al 2008, IEEE Transactions on Haptics1 27–38). The effect of training on classification accuracy was assessed by sixty sighted blindfolded participants (experiment 1) and by three adventitiously blind participants (experiment 2). We further investigated whether the underlying learning process(es) constituted token-specific learning and/or generalization. A hybrid learning paradigm comprising pre/post and old/new test comparisons was used. For both participant groups, classification accuracy for old (ie trained) drawings markedly increased over study trials (mean improvement = 76%, and 88%, respectively). Additionally, RT decreased by a mean of 30% for the sighted, and 31% for the adventitiously blind. Learning was mostly token-specific, but some generalization was also observed for both groups. The sighted classified novel drawings of all six FEEs faster with training (mean RT decrease = 20%). Accuracy also improved significantly (mean improvement = 20%), but this improvement was restricted to two FEEs (anger and sadness). Two of three adventitiously blind participants classified new drawings more accurately (mean improvement = 30%); however, RTs for this group did not reflect generalization. Based on a limited number of blind subjects, our results tentatively suggest that adventitiously blind individuals learn to haptically classify FEEs as well as, or even better than, sighted persons.