Sex contextualism in laboratory research: Enhancing rigor and precision in the study of sex-related variables.

Understanding sex-related variation in health and illness requires rigorous and precise approaches to revealing underlying mechanisms. A first step is to recognize that sex is not in and of itself a causal mechanism; rather, it is a classification system comprising a set of categories, usually assigned according to a range of varying traits. Moving beyond sex as a system of classification to working with concrete and measurable sex-related variables is necessary for precision. Whether and how these sex-related variables matter-and what patterns of difference they contribute to-will vary in context-specific ways. Second, when researchers incorporate these sex-related variables into research designs, rigorous analytical methods are needed to allow strongly supported conclusions. Third, the interpretation and reporting of sex-related variation require care to ensure that basic and preclinical research advance health equity for all.

How do dental practices respond to changes in scope of practice regulations?

Regulations that restrict the tasks that credentialed workers are allowed to perform may affect a firm's input choices, output, and which part of the market the firm serves. Using dental practice survey data from 1989 to 2014 and a stacked difference-in-differences design, this paper examines the effects of state-level scope of practice regulations on the behavior of dental practices. Results suggest that scope of practice deregulation in regards to dental hygienists' ability to administer nitrous oxide or local anesthesia is associated with fewer dentist visits per week in the short-term, lower patient wait times, and an increased likelihood of treating lower revenue generating publicly insured patients. There is weak evidence that scope of practice deregulation alters a practice's labor inputs.

Power to Detect What? Considerations for Planning and Evaluating Sample Size.

ACADEMIC ABSTRACT: In the wake of the replication crisis, social and personality psychologists have increased attention to power analysis and the adequacy of sample sizes. In this article, we analyze current controversies in this area, including choosing effect sizes, why and whether power analyses should be conducted on already-collected data, how to mitigate the negative effects of sample size criteria on specific kinds of research, and which power criterion to use. For novel research questions, we advocate that researchers base sample sizes on effects that are likely to be cost-effective for other people to implement (in applied settings) or to study (in basic research settings), given the limitations of interest-based minimums or field-wide effect sizes. We discuss two alternatives to power analysis, precision analysis and sequential analysis, and end with recommendations for improving the practices of researchers, reviewers, and journal editors in social-personality psychology. PUBLIC ABSTRACT: Recently, social-personality psychology has been criticized for basing some of its conclusions on studies with low numbers of participants. As a result, power analysis, a mathematical way to ensure that a study has enough participants to reliably "detect" a given size of psychological effect, has become popular. This article describes power analysis and discusses some controversies about it, including how researchers should derive assumptions about effect size, and how the requirements of power analysis can be applied without harming research on hard-to-reach and marginalized communities. For novel research questions, we advocate that researchers base sample sizes on effects that are likely to be cost-effective for other people to implement (in applied settings) or to study (in basic research settings). We discuss two alternatives to power analysis, precision analysis and sequential analysis, and end with recommendations for improving the practices of researchers, reviewers, and journal editors in social-personality psychology.

The Scientific Basis for the Regulation of Flavors in Tobacco Products.

Effective tobacco policies are important for reducing the harm of tobacco use and can have a broad impact at the population level. This review provides an overview of how clinical science can inform tobacco policies with a focus on policies related to flavored tobacco products, using menthol cigarettes as an illustrative example. Specifically, this review summarizes the role of flavors in tobacco use and the history of regulation of flavored tobacco products by the US Food and Drug Administration (FDA), provides an overview of clinical research methods used to contribute to the scientific evidence to inform FDA tobacco policies, discusses key findings related to menthol tobacco products using these methods, and proposes future directions for clinical research. As the tobacco marketplace continues to evolve with new products and flavor chemicals, ongoing clinical science will be essential for establishing evidence-based policies to protect public health and reduce tobacco-related health disparities.

A Perspective on How Rehabilitation Can Better Serve Older Adult Patients.

The fastest growing segment of our population is the oldest portion of our population. Rehabilitative care is significantly impacted by this trend - comorbidity, disability, and pain are more prevalent among older adults, resulting in large demands for rehabilitation services as older patients traverse the health care continuum. Unfortunately, despite these circumstances, rehabilitation clinicians frequently are uninformed or intimidated with caring for an older patient. Research studies relevant to geriatric rehabilitation are seldom grounded on key frameworks impacting geriatric rehabilitative care. To address these gaps, in this editorial, we highlight three important frameworks that can help rehabilitation clinicians, educators and researchers alike to better focus their work on the needs and priorities of the older patient.

'Keeping it real': A qualitative exploration of preferences of people with lived experience for participation and active involvement in mental health research in Australia.

BACKGROUND: Historically, researchers have been apt at conducting research on, rather than with, the people who are the focus of their efforts. Such approaches often fail to effectively support and benefit the populations they are intended to. This study aimed to explore the preferences of people with lived experience for engagement with research either as research participants within studies, or through active involvement in mental health research. METHODS: Data for this paper were collected in three separate lived experience agenda-setting studies conducted over a 9-year period from 2013 to 2022; two group discussions and an open-ended online survey. Data were combined and thematic analysis undertaken. RESULTS: Participants described the inclusion of lived experience as a critical ingredient and the highest level of knowledge and expertise in mental health research that should lead to knowledge generation and research agendas. Participants discussed the importance and value of research that enables sharing experiences and stories, expressed a need for flexibility in research methods for choice and agency, and support for greater active involvement of people with lived experience across all stages of research. Participants also spoke to the need for perspective and knowledge generated from people with lived experience to have equal power in research, making space for lived experience voices across multiple aspects of research, and greater respect and recognition of the value of lived experience. CONCLUSION: Lived experience in mental health research is coming of age, but dedicated, cocreated development is needed to get it right. People with lived experience increasingly understand the value their experiential knowledge brings to the mental health research effort, and describe a wide range of ways that researchers can support them to be research participants, and to get actively involved. Power-sharing, respect and recognition of lived experience as central to effective mental health research are the keys to 'keeping it real'. PATIENT OR PUBLIC CONTRIBUTION: People with lived experience of mental health problems or distress either personally, and/or as carers, family and kinship group members, were involved in the coideation and codesign of this research. All authors identify as people with lived experience.

Unlocking gender dynamics in food and nutrition security in Ghana: assessing dietary diversity, food security, and crop diversification among cocoa household heads in the Juaboso-Bia cocoa landscape.

BACKGROUND: Malnutrition is a worldwide problem that impacts every country, affecting one in three individuals, including Ghana. According to estimates from the Food and Agriculture Organization (FAO), 690 million people were undernourished globally in 2019. Malnutrition is no exception in rural cocoa communities in Ghana. The expansion of cocoa is causing food insecurity and low dietary diversity in most cocoa-growing areas. There is little information on the food security status and dietary diversity among male-headed and female-headed cocoa households in the Juaboso-Bia cocoa landscape. Thus, this study sought to explore the dietary diversity distribution, food security status, sources of staple food, food unavailability periods, food production status, themes contributing to low dietary diversity and food insecurity, and perception of the impact of cocoa expansion on crop diversification among male-headed and female-headed cocoa households in the study area. METHODS: Both quantitative and qualitative research methods were employed to address the research questions. The study collected 200 semi-structured questionnaire data and 14 in-depth interview data from cocoa household heads in the Juaboso-Bia landscape. The survey data was cleaned and analysis, such as household dietary diversity status, food security status, and binary logistic regression were performed in the Statistical Package for Social Scientists (SPSS). The in-depth interviews were analyzed using thematic analysis. RESULTS: Through this study, it was revealed that 62.8% of the male-headed cocoa households had medium to high dietary diversity compared to their female counterparts 39.3%. About 47.9% of the male-headed households were food secure than the female-headed households (29.1%). Moreover, the months that both male and female-headed households recalled facing severe food unavailability were July and June. In addition, climate change/variability, unavailable lands, poverty, large household size, and gender stereotypes were themes promoting low dietary diversity and food insecurity among male and female-headed households. Furthermore, sex, total household income, and cropland conversion to cocoa were the variables influencing household heads' perception of the impact of cocoa expansion on crop diversification. CONCLUSIONS: The study showed that the male-headed cocoa households had high dietary diversity and were food secure than the female-headed cocoa households, lending credence to the conceptual framework applied in this study. There is a significant relationship between household head gender and food security status. Therefore, this study recommends the following interventions to improve dietary diversity and food security among male and female-headed cocoa households: raise awareness about the need for diverse diets and provide practical information on how to incorporate a greater variety of food groups into their daily meals; and promote gender equity and inclusivity in food security interventions. Future research could investigate how gender mainstreaming policies in agriculture have helped empower and improve the food security of female-headed households in Ghana.

Dynamite plots in surgical research over 10 years: a meta-study using machine-learning analysis.

PURPOSE: Bar charts of numerical data, often known as dynamite plots, are unnecessary and misleading. Their tendency to alter the perception of mean's position through the within-the-bar bias and their lack of information on the distribution of the data are two of numerous reasons. The machine learning tool, Barzooka, can be used to rapidly screen for different graph types in journal articles.We aim to determine the proportion of original research articles using dynamite plots to visualize data, and whether there has been a change in their use over time. METHODS: Original research articles in nine surgical fields of research were sampled based on MeSH terms and then harvested using the Python-based biblio-glutton-harvester tool. After harvesting, they were analysed using Barzooka. Over 40 000 original research articles were included in the final analysis. The results were adjusted based on previous validation data with 95% confidence bounds. Kendall τ coefficient with the Mann-Kendall test for significance was used to determine the trend of dynamite plot use over time. RESULTS: Eight surgical fields of research showed a statistically significant decrease in use of dynamite plots over 10 years. Oral and maxillofacial surgery showed no significant trend in either direction. In 2022, use of dynamite plots, dependent on field and 95% confidence bounds, ranges from ~30% to 70%. CONCLUSION: Our results show that the use of dynamite plots in surgical research has decreased over time; however, use remains high. More must be done to understand this phenomenon and educate surgical researchers on data visualization practices.

Evidence-based medicine or statistically manipulated medicine? Are we slaves to the P-value?

First popularized almost a century ago in epidemiologic research by Ronald Fisher and Jerzy Neyman, the P-value has become perhaps the most misunderstood and even misused statistical value or descriptor. Indeed, modern clinical research has now come to be centered around and guided by an arbitrary P-value of <0.05 as a magical threshold for significance, so much so that experimental design, reporting of experimental findings, and interpretation and adoption of such findings have become largely dependent on this "significant" P-value. This has given rise to multiple biases in the overall body of biomedical literature that threatens the very validity of clinical research. Ultimately, a drive toward reporting a "significant" P-value (by various statistical manipulations) risks creating a falsely positive body of science, leading to (i) wasted resources in pursuing fruitless research and (ii) futile or even harmful policies/therapeutic recommendations. This article reviews the history of the P-value, the conceptual basis of P-value in the context of hypothesis testing and challenges in critically appraising clinical evidence vis-à-vis the P-value. This review is aimed at raising awareness of the pitfalls of this rigid observation of the threshold of statistical significance when evaluating clinical trials and to generate discussion regarding whether the scientific body needs a rethink about how we decide clinical significance.

Indigenous research methods for healing sexual trauma with Cree women.

In this study, exploratory research on self-determination using Indigenous research methods provided a model to help heal trauma and discuss recovery for traumatic sexual experiences. The methods and healing were based on a Cree worldview. Informed consent and questions were developed by the principal investigator prior to the research commencing. Eleven co-creators had the opportunity to revise questions, discuss the research, speak the Cree language, and participate in one-to-one interviews, group meetings and ceremonies. They also had the chance to review the transcripts and approve/disapprove the content, provide guidance on sacred knowledge and suggest terms to use, and co-author the paper, if they chose and three did. A Cree concept was developed from the work, namely, nehiyaw isecikewena which involved promoting self-determination and sovereignty alongside recovery.

Patients' and Clinicians' Perceptions of the Clinical Utility of Predictive Risk Models for Chemotherapy-Related Symptom Management: Qualitative Exploration Using Focus Groups and Interviews.

BACKGROUND: Interest in the application of predictive risk models (PRMs) in health care to identify people most likely to experience disease and treatment-related complications is increasing. In cancer care, these techniques are focused primarily on the prediction of survival or life-threatening toxicities (eg, febrile neutropenia). Fewer studies focus on the use of PRMs for symptoms or supportive care needs. The application of PRMs to chemotherapy-related symptoms (CRS) would enable earlier identification and initiation of prompt, personalized, and tailored interventions. While some PRMs exist for CRS, few were translated into clinical practice, and human factors associated with their use were not reported. OBJECTIVE: We aim to explore patients' and clinicians' perspectives of the utility and real-world application of PRMs to improve the management of CRS. METHODS: Focus groups (N=10) and interviews (N=5) were conducted with patients (N=28) and clinicians (N=26) across 5 European countries. Interactions were audio-recorded, transcribed verbatim, and analyzed thematically. RESULTS: Both clinicians and patients recognized the value of having individualized risk predictions for CRS and appreciated how this type of information would facilitate the provision of tailored preventative treatments or supportive care interactions. However, cautious and skeptical attitudes toward the use of PRMs in clinical care were noted by both groups, particularly in relationship to the uncertainty regarding how the information would be generated. Visualization and presentation of PRM information in a usable and useful format for both patients and clinicians was identified as a challenge to their successful implementation in clinical care. CONCLUSIONS: Findings from this study provide information on clinicians' and patients' perspectives on the clinical use of PRMs for the management of CRS. These international perspectives are important because they provide insight into the risks and benefits of using PRMs to evaluate CRS. In addition, they highlight the need to find ways to more effectively present and use this information in clinical practice. Further research that explores the best ways to incorporate this type of information while maintaining the human side of care is warranted. TRIAL REGISTRATION: ClinicalTrials.gov NCT02356081; https://clinicaltrials.gov/study/NCT02356081.

Determining an Appropriate Sample Size for Qualitative Interviews to Achieve True and Near Code Saturation: Secondary Analysis of Data.

BACKGROUND: In-depth interviews are a common method of qualitative data collection, providing rich data on individuals' perceptions and behaviors that would be challenging to collect with quantitative methods. Researchers typically need to decide on sample size a priori. Although studies have assessed when saturation has been achieved, there is no agreement on the minimum number of interviews needed to achieve saturation. To date, most research on saturation has been based on in-person data collection. During the COVID-19 pandemic, web-based data collection became increasingly common, as traditional in-person data collection was possible. Researchers continue to use web-based data collection methods post the COVID-19 emergency, making it important to assess whether findings around saturation differ for in-person versus web-based interviews. OBJECTIVE: We aimed to identify the number of web-based interviews needed to achieve true code saturation or near code saturation. METHODS: The analyses for this study were based on data from 5 Food and Drug Administration-funded studies conducted through web-based platforms with patients with underlying medical conditions or with health care providers who provide primary or specialty care to patients. We extracted code- and interview-specific data and examined the data summaries to determine when true saturation or near saturation was reached. RESULTS: The sample size used in the 5 studies ranged from 30 to 70 interviews. True saturation was reached after 91% to 100% (n=30-67) of planned interviews, whereas near saturation was reached after 33% to 60% (n=15-23) of planned interviews. Studies that relied heavily on deductive coding and studies that had a more structured interview guide reached both true saturation and near saturation sooner. We also examined the types of codes applied after near saturation had been reached. In 4 of the 5 studies, most of these codes represented previously established core concepts or themes. Codes representing newly identified concepts, other or miscellaneous responses (eg, "in general"), uncertainty or confusion (eg, "don't know"), or categorization for analysis (eg, correct as compared with incorrect) were less commonly applied after near saturation had been reached. CONCLUSIONS: This study provides support that near saturation may be a sufficient measure to target and that conducting additional interviews after that point may result in diminishing returns. Factors to consider in determining how many interviews to conduct include the structure and type of questions included in the interview guide, the coding structure, and the population under study. Studies with less structured interview guides, studies that rely heavily on inductive coding and analytic techniques, and studies that include populations that may be less knowledgeable about the topics discussed may require a larger sample size to reach an acceptable level of saturation. Our findings also build on previous studies looking at saturation for in-person data collection conducted at a small number of sites.

Expanding Education Researchers' Access to Classroom Observation Data With a Remote and Cost-Effective Video Data Collection Protocol.

The onset of the COVID-19 pandemic and associated long-term shifts to virtual instruction among most US schools presented notable challenges among education researchers. Ongoing projects conducted in school settings experienced sudden losses of access to teacher and student participants, in many cases leading to severe interruptions to data collection efforts. Perhaps most notably, upon returns to in-person instruction in the 2021/22 academic year most schools instigated strict policies limiting the number of non-school personnel who could enter school buildings, including researchers conducting in-person data collections. As such, many researchers had to find alternative means to gather data. In this paper, we offer a new protocol that we created in response to these challenges that allows for the secure and fully remote collection of video data in school settings. This new protocol not only addressed the immediate needs of the focal study but also addresses some of the most notable barriers to collecting classroom video data in the field of education research at large. In this paper, we describe the initial development and application of this protocol among a local study of elementary teachers, as well as the scaling of this protocol in a study of elementary teachers in multiple states. It is our hope that this protocol can expand education researchers', practitioners', and policymakers' access to classroom video data.

Using spatial video geonarratives to improve nursing care for people who use drugs and experience homelessness: A methodology for nurses.

BACKGROUND: People who are insecurely housed and use drugs are disproportionately affected by drug poisonings. Nurses are uniquely positioned to utilize harm reduction strategies to address the needs of the whole person. Needle debris encompasses drug paraphernalia discarded in public spaces. Studying needle debris provides a strategic opportunity to identify where drugs are being used and target public health strategies accordingly. AIM: Our aim in this article is to illustrate how spatial video geonarratives (SVG) combined GPS technology interviews, and videos of locations with needle debris, can elicit valuable data for nursing research. METHODS: Using SVG required knowledge of how to collect data wearing cameras and practice sessions were necessary. A Miufly camera worn at waist height on a belt provided the stability to walk while interviewing stakeholders. We wore the cameras and conducted go-along interviews with outreach workers, while filming the built environment. Upon completion of data collection, both the interview and GPS information were analysed using Wordmapper software. CONCLUSIONS: This methodology resulted in data presented uniquely in both a visual map and narrative. These data were richer than if a single modality had been used. These data highlighted specific contextual factors that were related to the location of needle debris, which created opportunities for nursing interventions to support people experiencing vulnerability.

The Listening Guide: Illustrating an underused voice-centred methodology to foreground underrepresented research populations.

AIM: To highlight the value of utilizing the Listening Guide methodology for nursing research and provide an exemplar applying this methodology to explore a novel concept in an underrepresented group-inner strength in persons newly diagnosed with mild cognitive impairment along with their care partners. DESIGN: Methodology discussion paper. METHODS: The exemplar study used the Listening Guide methods for data elicitation and analysis. Methods included adaptations for the study population and novice qualitative researchers. RESULTS: The Listening Guide methodology with adaptations enabled the research team to centre the voices of persons living with mild cognitive impairment, highlight an abstract phenomenon and attend to the influences of the sociopolitical context. Further, this methodology helped address common challenges emerging qualitative researchers encounter, including understanding methods of application, engaging reflexively and immersing in the data. CONCLUSION: The Listening Guide is a voice-centred qualitative methodology that is well suited to foreground the experiences of groups underrepresented in research and explore emerging phenomena. IMPLICATIONS FOR NURSING: Nurses are central to striving for health equity. The Listening Guide methodology offers a valuable and accessible research tool to understand the experiences and needs of underrepresented groups and shape healthcare in response. IMPACT: The Listening Guide methodology can be broadly applied to research with persons with mild cognitive impairment, and other underrepresented groups, to explore other phenomena beyond inner strength and move the science forward in representing the perspectives of groups underrepresented by research. PATIENT OR PUBLIC CONTRIBUTION: Persons living with cognitive impairment and their care partners participated in study conceptualization, interview guide development, methods development and dissemination plans.

Epistemological aspects of participatory design studies conducted in the field of health science.

AIM(S): To discuss the methodological aspects of participatory design, arguing for a three-phase approach and the suitability of situating participatory design within a phenomenological-hermeneutical tradition in health science. DESIGN AND METHODS: Methodological discussion based on participatory design theory, epistemology and research studies. RESULTS: The epistemological and methodological discussions show how the core values and key elements of participatory design align with the phenomenological-hermeneutical approach. In addition, examples of participatory design studies are provided to illustrate how it can be conducted in health science. CONCLUSION: Participatory design is a flexible framework based on genuine participation, defined by three core values: having a say, mutual learning and democratization. The iterative processes allow for adjustments in alignment with the core values and the scientific stance that defines the choice of methods, tools and techniques. A phenomenological-hermeneutic approach in participatory design studies is relevant and aligned with the core values of participatory design. Thus, this paper argues for a close integration between the participatory design methodology and the phenomenological-hermeneutic scientific approach within health science. IMPLICATIONS FOR THE PROFESSION: Participatory design is a powerful methodology with core values that can co-design sustainable health technologies with potential to impact patient care and the clinical practice of nurses. When combined with qualitative research methods, patients' lived experiences serve as the foundation for improving clinical nursing practice. Discussing the epistemological aspects of participatory design provides nurse researchers with a coherent methodological understanding, essential for the continual development of nursing research. IMPACT: This paper discusses the research methodology of participatory design within health sciences. It aims to address the lack of understanding of the methodology, particularly within a specific scientific stance. The main finding is the elaboration on participatory design and the relevance of a phenomenological-hermeneutical approach. The paper has the potential to impact researchers, master's and PhD students, as well as others engaged in participatory design or other methodologies related to user involvement within health science. REPORTING METHOD: No available EQUATOR guidelines were applicable to this methodological paper, as no new data were created or analysed. PATIENT OR PUBLIC CONTRIBUTION: There was no direct patient or public contribution, as this is a methodological paper.

Exploring workplace-based learning in distributed healthcare settings: a qualitative study.

BACKGROUND: Distributed healthcare settings such as district hospitals, primary care, and public health facilities are becoming the real-life settings for workplace-based learning required to educate the future healthcare workforce. Therefore, a major focus should be on designing and developing workplace-based learning in these learning environments. Healthcare professionals and educational policymakers play a significant role in these settings as role models in workplace-based learning, and as leaders in integrating learning into their work environments. It is relevant to explore their beliefs, attitudes, and behaviors towards workplace-based learning in their own settings, in order to provide context-relevant recommendations that can assist in shaping workplace-based learning environments. METHODS: We used individual interviews to understand professionals' experiences with workplace-based learning in distributed healthcare settings. We - three clinicians, an educationalist, and a philosopher - thematically analyzed transcripts of 13 interviews with healthcare professionals and educational policymakers from different healthcare settings who were involved in the clinical phase of undergraduate medical education. RESULTS: Clustering and categorizing of the data led to the construction of five overarching themes: Identification with and attitude towards medical education, Sense of ownership, Perceived time and space, Mutual preconceptions and relations, and Curriculum for a changing profession. CONCLUSIONS: These themes accentuate aspects relevant to the development of workplace-based learning in distributed healthcare settings on the individual, team, or organizational level. We highlight the significance of individual professionals in the development of workplace-based learning and emphasize the need for recognition and support for those occupying the 'broker' role at the intersection of education and practice. For future research and educational practice, we recommend prioritizing initiatives that build on good-practices in workplace-based learning and involve dedicated individuals in distributed healthcare settings.

Evaluation of a dementia awareness game for health professions students in Northern Ireland: a pre-/post-test study.

BACKGROUND: Dementia is a prevalent global health issue, necessitating comprehensive education for healthcare practitioners and students. Nursing and pharmacy students, provide support across healthcare settings often working as frontline caregivers. Therefore, it is imperative to equip these students with a profound understanding of dementia. The aim of this study was to evaluate whether a serious dementia game co-designed with stakeholders, students, and people living with dementia improved the attitudes of nursing and pharmacy students. METHODS: A pretest-posttest design was used to assess the attitudes of health professions students (nursing and pharmacy) towards dementia. The Approaches to Dementia Questionnaire (ADQ) was administered before and after playing a serious Dementia Game. The ADQ measured the total score, Hope subscale, and Recognition of Personhood subscale. Matched pairs t-test was used for analysis conducted with IBM SPSS statistics 27. RESULTS: A diverse cohort of 505 participants from one university in Northern Ireland participated, with 461 matched pairs used for analysis. Both nursing and pharmacy students demonstrated a significant increase in overall dementia attitudes post-gameplay, with nursing students showing an increase from 79.69 to 83.59 and pharmacy students from 75.55 to 79.86. Subscales for Hope (Nursing = 28.77 to 31.22, Pharmacy = 26.65 to 29.20). and Recognition of Personhood also exhibited significant improvement (Nursing = 50.93 to 52.38, Pharmacy = 48.89 to 50.67). Demographic data revealed predominantly female participants, a lack of personal connections to dementia, and varied training experiences. DISCUSSION: The study highlights the efficacy of the serious Dementia Game in enhancing attitudes to dementia amongst health professions students, indicating its potential as an educational tool. The study contributes to the growing body of evidence supporting serious games and gamification in healthcare education.

A Culturally Humble Approach to Designing a Sports-Based Youth Development Program With African-Australian Community.

This article draws on the concept of cultural humility, to describe and analyze a decolonizing approach to co-designing a primary prevention basketball program for young African-Australian people in Melbourne, Australia. We explore the potential for genuine collaboration and power-sharing with a culturally diverse community through collaboratively developing the co-design process and resultant program design. This article highlights the central role of UBUNTU in the co-design process, prioritizing African ways of knowing, being, and doing within a Westernized social work and design context. Through reporting on the stages of program design, we offer an example of how Indigenous knowledges and philosophies such as UBUNTU might be incorporated into co-design through cultural humility. We suggest this allows for a transformation of design tools and processes in ways that undermine oppressive and marginalizing power imbalances in design and social work.

A critical review of research methodologies for COVID-19 transmission in indoor built environment.

The Coronavirus Disease 2019 (COVID-19) has caused massive losses for the global economy. Scholars have used different methods to study the transmission mode and influencing factors of the virus to find effective methods to provide people with a healthy built environment. However, these studies arrived at different or even contradictory conclusions. This review presents the main research methodologies utilized in this field, summarizes the main investigation methods, and critically discusses their related conclusions. Data statistical analysis, sample collection, simulation models, and replication transmission scenarios are the main research methods. The summarized conclusion for prevention from all reviewed papers are: adequate ventilation and proper location of return air vents, proper use of personal protective equipment, as well as the reasonable and strict enforcement of policies are the main methods for reducing the transmission. Recommendations including standardized databases, causation clarification, rigorous experiment design, improved simulation accuracy and verification are provided.