However, engaging people in research can sometimes become a source of re-traumatisation or activation for the people participating in the research. So being a trauma-informed content designer means not only focussing on the outcomes that designers produce, but also on the process that designers use to arrive at those outcomes. This means considering trauma-informed design research as the collective responsibility of anyone involved in making it happen, from design researchers to content designers and others.
At its core, the Power Walk is a new lens through which to see a neighborhood, guided by a series of prompts to reflect on what could change and where capacity exists to change it. It’s a way of understanding the possibilities that people see in the world around them, and discussing what collective power they have to realize those possibilities.
A team at the Nutrition Council is working on a new initiative: get more leafy greens on people’s plates. They have worked on and tracked many initiatives over the years, about topics ranging from added sugars to vitamins. They gather information about leafy greens consumption in the population, interview nutrition experts, farmers, and professional chefs. This time, they also have a set of thinking styles from a study they did using Data Science that Listens.
Our audience told us that one of the big reasons they didn’t feel comfortable bringing up the topic was that they were scared they’d be wrong. We realized we needed to take a step back and focus more on building knowledge of early signs first—the campaign had to help them walk before they could run.
This article will explore: The unique challenges of using behavioural frameworks in qualitative research Why practical experience is essential for accurate behavioural diagnosis Common pitfalls in coding and how they affect intervention outcomes
In this paper we present the different steps and considerations for a qualitative evaluation of results in experimental designs. Methodological guidelines are offered for each stage of a study, from formulation of the research goals, through data collection and data analysis, to the interpretation of a potential effect of the intervention. In addition, there is ample attention for ensuring the rigor of the research. The presented guidelines are developed and illustrated using an empirical example, in which a constructivist grounded theory approach was applied to evaluate the effect of empathy prompts on the motivation to adhere to COVID-19 regulations.
The Choctaw Nation drives were first launched in 2020, born from community feedback. Lacey Callahan, grants operation manager for the behavioral health center, explains that their original approach — hour-long formal presentations — wasn’t working. “What we heard from our community is that (the presentations) did not feel safe,” Callahan said. “What felt safer to them was to discreetly come through on their terms, when it was convenient for them, receive a smaller training just on how to use it, and not have law enforcement present.” The tribe now strategically places these drives based on precise data analysis. Mason Emert, an epidemiologist with the Choctaw public-health department, studies statewide overdose information collected in a federally developed program called the Overdose Detection Mapping Application Program (ODMAP), where users enter overdose data into a cross-jurisdictional database.
Fundamentals of Inclusive Research Presenter(s): Cherish Boxall, Heidi Green, Frances Sherratt, Shaun Treweek decorative image to accompany text This guide provides four approaches to making research more inclusive. Groups of people, such as those from minoritised/racialised ethnicities, impaired capacity, and those experiencing socioeconomic disadvantage, generally experience poorer health outcomes than groups of people with more societal privilege. In parallel, these groups have been historically underserved in health research. This situation means that the findings of health research might not be transferable to the people who stand to benefit most, potentially allowing health inequalities to continue and most definitely not contributing to solving the problem of inequity. There are many historical and current reasons for under-representation in research. The most common reasons include a lack of trust and ease of access (e.g., small visit windows, cover for dependants). Although different groups might face unique barriers, this practical resource will provide a starting place to help research be more inclusive through a broad suite of approaches. The four pillars of the fundamentals of inclusive research are access, relevance, trust and recognition. > Download the workbook PDF with a check guide to get started on inclusive practice and community engagement.
obs-to-be-done is a great concept for innovators, helping to take the customer perspective and discovering customer insights for innovation and growth strategies. When applying JTBD in practice, however, innovators often get lost. The Job Hierarchy, developed by Vendbridgeand applied in dozens of JTBD projects, can help to maintain orientation and focus, and thereby to exploit the full potential of this powerful concept. Die Job Hierarchie As the word hierarchy implies, we use it to think JTBD in three different levels: The Bigger Why The Deeper Why The Lower How
Massive snowfalls like the one that hit the US east coast this week usually spell trouble for traffic. But critics of America's car-centric transport network are using the snow - and Twitter - to demonstrate how roads should be redesigned to make them safer for pedestrians.
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Unlike previous research, we were unable to show that higher monetary incentives were more effective for increasing response rates. An AUD$20 unconditional incentive may be no more effective than a lesser amount for encouraging prostate cancer survivors to participate in research involving long questionnaires.
OpenRefine is a powerful free, open source tool for working with messy data: cleaning it; transforming it from one format into another; and extending it with web services and external data.
Today Renaisi launches a new model for evaluating place-based systems change. Lily O’Flynn, Principal Consultant for Place-based Evaluation & Learning, describes the model and why it solves the problem of evaluating change in places for funders, commissioners, and practitioners.
The indicators in this dashboard are a compilation of existing indicators and results that UNICEF uses across multiple programming areas and aproaches. This list has been vetted and compiled by UNICEF's SBC team in collaboration with the sectors and cross-sectorial teams in the organization.
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A practical, interactive tool to help you develop a systematic understanding of the influences of your target behaviour, in your target population.
HealthMeasures consists of PROMIS, Neuro-QoL, ASCQ-Me, and NIH Toolbox. These four precise, flexible, and comprehensive measurement systems assess physical, mental, and social health, symptoms, well-being and life satisfaction; along with sensory, motor, and cognitive function.
100+ Items, 14 Mechanisms, 1 Journey Our goal with BCS is to offer a systematic yet adaptable methodology that makes it easier for product teams to capture the important details necessary for effective behavior change. To allow for that, we have chosen to focus on 14 Behavioral Science mechanisms as opposed to focusing on individual nudges which may or may not generalize to the unique context.
The development of effective interventions for COVID-19 vaccination has proven challenging given the unique and evolving determinants of that behavior. A tailored intervention to drive vaccination uptake through machine learning-enabled personalization of behavior change messages unexpectedly yielded a high volume of real-time short message service (SMS) feedback from recipients. A qualitative analysis of those replies contributes to a better understanding of the barriers to COVID-19 vaccination and demographic variations in determinants, supporting design improvements for vaccination interventions. Objective: The purpose of this study was to examine unsolicited replies to a text message intervention for COVID-19 vaccination to understand the types of barriers experienced and any relationships between recipient demographics, intervention content, and reply type. Method: We categorized SMS replies into 22 overall themes. Interrater agreement was very good (all κpooled . 0.62). Chi-square analyses were used to understand demographic variations in reply types and which messaging types were most related to reply types. Results: In total, 10,948 people receiving intervention text messages sent 17,090 replies. Most frequent reply types were “already vaccinated” (31.1%), attempts to unsubscribe (25.4%), and “will not get vaccinated” (12.7%). Within “already vaccinated” and “will not get vaccinated” replies, significant differences were observed in the demographics of those replying against expected base rates, all p . .001. Of those stating they would not vaccinate, 34% of the replies involved mis-/disinformation, suggesting that a determinant of vaccination involves nonvalidated COVID-19 beliefs. Conclusions: Insights from unsolicited replies can enhance our ability to identify appropriate intervention techniques to influence COVID-19 vaccination behaviors.
3:40 - 40 participants gives a 15% margin of error and 95% confidence level (binary metrics)
Big five trait scores for 307,313 people from many different countries.
The first objective was to provide an overview of all activities that were employed during the course of a research project to develop a relapse prevention intervention for interdisciplinary pain treatment programs. The second objective was to examine how co-design may contribute to stakeholder involvement, generation of relevant insights and ideas, and incorporation of stakeholder input into the intervention design.
Believe it or not, analyzing seemingly unrelated data can reveal hidden truths. Take the Pentagon, the nerve center of the U.S. military. While classified briefings and high-level meetings happen behind closed doors, open-source data can offer clues about what might be brewing. Here’s where things get interesting. We can use Google Trends data to track searches for “Pentagon pizza delivery” and nearby “gay bars.” Why pizza and bars? Increased late-night activity might indicate longer work hours for Pentagon staff, potentially signifying preparation for a major event.
Could this guide us towards a structured approach for assessing the level of community involvement in SBC programmes? At the highest level, “Citizen Control“, communities independently lead programmes with full decision-making authority. “Delegated Power“ and “Partnership“ designate significant community influence on programme decisions, either through majority control or collaborative governance. In contrast, “Placation“, “Consultation“, and “Informing“ indicate lower degrees of participation, where community input may be sought but is not necessarily instrumental in shaping outcomes.
