Shaylynn Hayes-Raymond’s Post

Principle Researcher: Shaylynn Hayes-Raymond, MA. Organization: The International Misophonia Foundation This study received expedited IRB approval from the IMF. The Misophonia Treatment Perceptions and Sensory History Study has two main goals. The first main goal of this study is to see how adults who received treatment for misophonia reacted to these treatments (ie. Change or no change, practitioner follow-up, etc.) and the second goal of the study is to see if there is a relationship between those who score high on the Duke Misophonia Questionnaire (DMQ) and the Adult/Adolescent Sensory History (ASH). The first goal hopes to understand what has worked and not worked for persons with misophonia, and the second goal hopes to understand what percent of respondents score high on both the DMQ and ASH. To participate in this research study, the researchers conducting the work are required to give you all of the information you will need for the study before, during, [Read More] https://lnkd.in/gC2aupQb

Rethinking Race and Ethnicity in Biomedical Research This is becoming an irrelevant variable in societies where there are so no distinctive associations between race and ethnicity with religion and cultures. Religions are beliefs manifesting in cultures in many Asian groups, yet cultural distinctiveness is stark and influential in many aspects of life including health behaviour in different groups. Until cultures could measured differentially, race and ethnicity is going to stay in statistical analysis. But, it is time to always check this variable's effect on the outcome variable, and to consider using 'cultural' variables in societies that have been 'conglomerated'.

Have you heard about the concept of “apples and oranges” in meta-analyses? This simple, yet important concept illustrates a central aspect of this type of research: to include studies in your meta-analysis that are similar enough to be comparable. Our goal is to synthesize the analyses of the individual studies to reach a collective estimate of effect. If a study is too different from the rest, it should not be included in the analysis. This is why we say we can’t compare apples with oranges. It is important to note that studies will not be exactly the same. They might have the same topic, but may differ somewhat in the population included. This is what generates heterogeneity, and we can break this concept down on another post. The bottom line is, we have to be able to tell apart differences that are acceptable and allow us to include different, but similar enough studies in our meta-analysis (apples) and when a given study is just too different to be combined with others (an orange!) The best way to do this is defining inclusion and exclusion criteria formulated from the PICOTT question. The chosen criteria will guide the selection of the participating studies. Remember, they don’t have to be the same, but similar. If a study has the targeted population, intervention, control, outcomes, has the desired follow-up time and design (eg. RCT and/or observational), you can safely include it for further analysis. Stay tuned for further posts on this topic! https://lnkd.in/dJ4PUgBJ

🔊 New Research Publication  In a recent publication in Social Science & Medicine with Professor Andrea Whittaker and Professor Mark Davis at Monash University, we examined the financial burden faced by breast cancer patients and their families, and how affected people managed the tremendous costs to put their life under some control after pursuing cancer treatment. Highlights: ⭐Beyond managing the biological aspects of cancer, patients engage in extensive labour to navigate health and social security systems. ⭐Despite universal health coverage, patients must rely heavily on informal arrangements, such as borrowing high-interest loans, to finance cancer treatment. ⭐Tactics such as disclosing illness or paying bribes are used to expedite state welfare applications. ⭐Engaging in coping practices can reinforce one's vulnerability to poverty and intensify socio-economic inequalities. 🔬 Read the free article here: https://shorturl.at/ZUgbB #BreastCancer #GlobalHealth #healthinequity #LMICs #Vietnam #SDGs 📚Please check out previous articles from my Ph.D: 📗 Lay aetiology of breast cancer (2020), also in Social Science & Medicine: https://shorturl.at/RqlBG 📘Seeking a cancer diagnosis (2022), in Health and Social Care in the Community: https://shorturl.at/tSDHy 📙Decision-making about breast reconstruction (2023), in Medical Anthropology: https://shorturl.at/ZohSV 📃 A review of social science literature on studying breast cancer (2023), in the Handbook of Social Sciences and Global Public Health: https://shorturl.at/e2adK

Beit Issie Shapiro, in collaboration with the School of Social Work at Bar-Ilan University, has launched a groundbreaking national research project on women's health in Israel. This comprehensive study, available in both Hebrew and Arabic, focuses on gynecological and breast screening checkups for women aged 25 and above, with and without disabilities. The research stems from concerning findings in a qualitative study on health services provision, conducted by the Women with Disabilities Leadership Group at Beit Issie Shapiro in Ra'anana, Israel. Specifically, women's health services, particularly in gynecology and breast health, were found to be the most underserved medical domains. Key features of the study include: 1. A multidisciplinary scientific advisory committee guiding the research team, comprising experts in medicine, law, sociology, anthropology, social work, and policy. The committee includes representation of women with and without disabilities from diverse social and cultural backgrounds. 2. This pioneering study is expected to contribute significantly to improving women's health services and awareness in Israel, serving as a potential assessment model for addressing these issues worldwide. 💬 For more information, please contact: Dana Roth, Ph.D.: danar@beitissie.org.il Director of Research and Evaluation, Beit Issie Shapiro

If more women are being diagnosed with depression, why are more men committing suicide?    Women are increasingly being diagnosed with depression, but is it really more common in women? Or is there a deeper problem?    Last week at PhD Day 2025 at the Graduate School of Health, Aarhus University, I presented insights from our recently completed Independent Research Fund Denmark project on "Bias and Fairness in Medicine", where we analyzed demographic data from Danes who have been diagnosed with depression in recent years. Our aim was to test whether there are biases in the way depression is diagnosed and treated based on factors such as gender, age, geography and income.    We know that women were more likely to seek help for prolonged sadness, leading to diagnosis and treatment. But fewer men report similar symptoms. How does this affect AI systems that are trained to predict depression risk?    AI systems trained on biased data tend to perpetuate and sometimes even exaggerate such biases from data, in this case likely leading to underdiagnosis of men. What we learn from our research, however, is that it does not stop there: Our ability to measure this bias is also limited by the fact that we don’t know who actually suffers from depression. We have reason to believe that we are missing more depression diagnoses for men than for women, but we don’t know how many we miss. As a result, while we believe that our algorithms are biased, we don’t know how to measure the bias. This problem is not specific to AI. We are equally unable to measure biases in diagnoses made by clinicians. Our attention to the problem, however, comes from our critical eye on AI performance.     I am curious to know in the comments: What do you think? Can we use AI – and our attention to its potential failures – to create more fair healthcare both with and without AI?    Thank you to the PhD Day 2025 organizing committee represented by Anders Etzerodt and Anika Kofod Petersen for the opportunity to discuss responsible AI in healthcare, and thank you to all the PhD Students for your excellent engagement, questions and presentations (Sara Kolding, Anne Andresen, Camilla Termansen Erichsen). And thank you to Professor Jens Juul Holst from the Novo Nordisk Foundation Center for Basic Metabolic Research for his insightful presentation on the gut hormone GLP-1.    #AI #implicitbias #medicine #depression #dkforsk 

Double #SSHintegration alert 🚨 🌟 The Innovative Health Initiative (IHI) launched two transnational calls with #SSH aspects. 🔷 Call 9 funds pre-competitive, public-private projects addressing unmet public health needs, with proposal deadline on 29 April 2025. 👨💼 SSH aspects #Health Economics, #Bioethics, #PoliticalScience, #BehaviouralScience, #Psychology, #Sociology, #Anthropology, #Law 🔷 Call 10 is aimed at testing, validating, and advancing digital labels for medical devices and in vitro diagnostic devices (IVDs) with short proposal submission on 23 April 2025. 👩⚖️ SSH aspects #Sociology, #Law, #PoliticalScience, #BehaviouralScience, #Psychology More information 👇 https://lnkd.in/ghyr2q4r

One of the absolute joys of being an academic is seeing your PhD students succeed. Jing Hui Law has been a stellar PhD student, colleague and team member, and she passed with minor corrections today. Funded by the Queen Mary University of London Wellcome Trust Health Data in Practice programme, Jing Hui took a small and poorly formed idea to study how Genes & Health volunteers perceive their genetic risk of type 2 diabetes. Using evidence synthesis, a large semi-structured questionnaire survey integrated with genomic and health data, and lastly qualitative studies, Jing Hui turned this into some really valuable research. Her work provides important insights into how genomic tools, like polygenic risk scores, might best be implemented in the NHS and in diverse populations. Her research demonstrated that British Bangladeshi and Pakistani volunteers were positive about receiving genetic information about their risk of type 2 diabetes, and that they would want to receive this at young ages. But that for the provision of genetic risk information to be beneficial, e.g. leading to behaviour change, it is critical to act beyond the level of the individual and take into account the impact of familial diabetes risk and social factors. She highlights both the opportunities and challenge to doing this effectively in the NHS in the future. A huge thanks to our Genes & Health volunteers for supporting this work through their participation in our research And to an awesome supervisory team Nina Fudge, Dr Jamie Ross and Magda Osman, and fantastic expert examiners Amy Ahern and Jo Waller. Congratulations Dr Law! p.s. You can read more about Jing Hui's work here: https://lnkd.in/emdd-BYf https://lnkd.in/e4TbMWPa And watch this space for more publications on their way!

🚨 New Publication! 🚨 I’m thrilled to share that I am a co-author on a newly published research article exploring how the COVID-19 pandemic impacted the rigor and methodologies of psychological research. You can access the paper via https://lnkd.in/gmW3Qs5e. During the #pandemic, #psychological journals adapted their editorial processes to meet the urgent demand for knowledge, sparking concerns that the drive for speed may have compromised accuracy and #methodological rigor. To investigate this, we analyzed 300 articles from leading psychological journals, comparing COVID-related studies with non-COVID and pre-pandemic research. Our findings? While #COVID-related studies tended to be more observational, they were often methodologically stronger in key ways. These studies: ✔️ Used more longitudinal designs ✔️ Included larger sample sizes ✔️ Conducted a priori power analyses ✔️ Embraced open science practices, such as pre-registration and data sharing This research sheds light on how the field of #psychology rose to the challenges posed by a global crisis, maintaining (and in some cases even enhancing) #research rigor. Thanks to my wonderful co-authors and Royal Society Open Science for publishing our work.

Are you interested in embracing preregistration in neuropsychology work but don’t know where to start? Here is a piece we have written that we hope the community will find helpful UK Reproducibility Network (UKRN)