@article{StadlerChesaniukHaeringetal., author = {Stadler, Gertraud and Chesaniuk, Marie and Haering, Stephanie and Roseman, Julia and Straßburger, Vera Maren and Schraudner, Martina and Ahmad, Aisha-Nusrat and Auma, Maisha and Banas, Kasia and Borde, Theda and Buspavanich, Pichit and Dewey, Marc and Di Maio, Sally and Ditlmann, Ruth K. and Enarovic, Ilona and Fischer, Marina and Gellert, Paul and Gerstorf, Denis and Grittner, Ulrike and Gutsell, Jennifer and Hagelskamp, Carolin and Henschel, Anna and Herrmann, Wolfram and Hilger, Caren and Horozoglu, G{\"u}lru and H{\"o}vener, Claudia and Hunter, Emma and Iida, Masumi and Keller, Lena and Kendel, Friederike and Krumbholz, Charlotte Ariane and Licha, Matthias and Mason, Kimberly and Mata, Jutta and Mau, Steffen and Meuwly, Nathalie and Moschko, Tomasz and M{\"u}ller-Werdan, Ursula and O'Sullivan, Julie Lorraine and Radl, Jonas and Rathmann, Christian and Regitz-Zagrosek, Vera and Rieckmann, Nina and Rommel, Alexander and Salikutluk, Zerrin and Shrout, Patrick E. and Smith, Jamie and Specht, Jule and Stephan, Petra and Stock, Christiane and Wenzel, Mine}, title = {Diversified innovations in the health sciences: Proposal for a Diversity Minimal Item Set (DiMIS)}, series = {Sustainable Chemistry and Pharmacy}, volume = {33}, journal = {Sustainable Chemistry and Pharmacy}, doi = {10.1016/j.scp.2023.101072}, abstract = {Background Science strives to provide high-quality evidence for all members of society, but there continues to be a considerable gender and diversity data gap, i.e., a systematic lack of data for traditionally underrepresented groups. Gender and other diversity domains are related to morbidity, mortality, and social and economic participation, yet measures as well as evidence regarding how these domains intersect are missing. We propose a brief, efficient Diversity Minimal Item Set (DiMIS) for routine data collection in empirical studies to contribute to closing the diversity and gender data gap. We focus on the example of health but consider the DiMIS applicable across scientific disciplines. Methods To identify items for the DiMIS across diversity domains, we performed an extensive literature search and conducted semi-structured interviews with scientific experts and community stakeholders in nine diversity domains. Using this information, we created a minimal item set of self-report survey items for each domain. Findings Items covering nine diversity domains as well as discrimination experiences were compiled from a variety of sources and modified as recommended by experts. The DiMIS focuses on an intersectional approach, i.e., studying gender, age, socioeconomic status, care responsibilities, sexual orientation, ethnicity, religion, disability, mental and physical health, and their intersections. It allows for data sets with comparable assessments of gender and diversity across multiple projects to be combined, creating samples large enough for meaningful analyses. Interpretation In proposing the DiMIS, we hope to advance the conversation about closing the gender and diversity data gap in science.}, language = {en} }