I was excited to see this recently released report from the Center for Law and Social Policy (CLASP) illuminating the crucial role of comprehensive and rigorous race and ethnicity data in the pursuit of health equity. "Combatting entrenched health disparities demands a concerted, cross-sectoral approach involving healthcare providers, insurers, researchers, community organizations, advocacy groups, and policymakers. This collective endeavor hinges on the availability of robust, transparent data on race and ethnicity to establish a common foundation for understanding and assessing interventions aimed at promoting health equity. Encouraging stakeholders to embed principles of data equity into their practices, CLASP and the Data Equity Coalition advocate for enhanced data standards across governmental and healthcare spheres." At its core, data serves as the linchpin for comprehending the scope and nuances of health inequalities. I've seen a lot of movement by health systems and public agencies toward collecting more meaningful race and ethnicity data, but we still have a long way to go. #healthequity #dataequity https://lnkd.in/g82f-BGf]
Jessica Pitt, Ph.D.’s Post
More Relevant Posts
-
The long-awaited update to federal standards for collecting race and ethnicity data by the Office of Management and Budget (OMB) is a significant step forward. This revision, the first since 1997, aims to improve the accuracy and inclusivity of health data collection. The Blue Cross Blue Shield Association (BCBSA) and the National Minority Quality Forum (NMQF) established the Data Equity Coalition in September 2023. The coalition advocated for clearer data collection standards, including race, ethnicity, language, sexual orientation, and gender identity. They also emphasized the importance of disaggregated race and ethnicity data collection and the uniform adoption of the updated OMB standard across all healthcare stakeholders. Learn more: https://hubs.ly/Q02rvf9G0
New Data Standard Will Lead to Equitable Health
bcbs.com
To view or add a comment, sign in
-
Data quality is a crucial aspect of providing equitable outcomes for patients. Many organizations are unaware of the degree to which patients are excluded or not provided the same quality of care, and that lack of information contributes significantly to an organization's ability to provide care. If we aren't measuring where the lapses in care actually are, it is nearly impossible to make the needed corrections and make a real difference for patients. #HealthEquity #PatientOutcomes #Data
High Quality Race & Ethnicity Data are Essential for Achieving Health Equity | CLASP
clasp.org
To view or add a comment, sign in
-
April is #NationalMinorityHealthMonth! Did you know that our Health Equity Data Strategy Collaborative convenes health care organizations across Southeastern Pennsylvania with the common goal of decreasing disparities in health outcomes in minoritized communities? The collaborative allows hospitals to come together and discuss best practices and challenges related to the collection, stratification, and utilization of race, ethnicity, and language (REaL) and sexual orientation and gender identity (SOGI) data in order to identify and address disparities in care and outcomes. Click here to learn more about HEDS: https://lnkd.in/et9VPaWz
To view or add a comment, sign in
-
🌟 Excited to share insights on a pivotal discussion in healthcare: the critical role of gender diversity in clinical trials. This compelling article by BioSpace sheds light on a crucial issue - the underrepresentation of women in clinical research. It's not just a numbers game; it's a design problem that demands attention. Diverse representation ensures that medical interventions are effective across different demographics. As professionals in the healthcare and life sciences sector, it's incumbent upon us to foster inclusivity and ensure that clinical trials reflect the populations they aim to serve. By addressing this gap, we can unlock a wealth of insights that benefit everyone. Let's spark conversations, share knowledge, and work towards a more equitable future in medical research. Read the full article here: https://lnkd.in/g8xR7g4k #ClinicalTrials #GenderDiversity #HealthcareEquality 🚀
It's a Design Problem: Women and Clinical Trials
biospace.com
To view or add a comment, sign in
-
Have you ever heard anyone say anything BAD about the “social determinants of health” (SDoH) model? If your answer is, “No,” then you probably need to carefully rethink your position on it. This is the theme of the peer-reviewed article, “The Social Determinants of Health: Time to Re-Think?” Authors make many points in their article, and when taken together, the SDoH model looks like it has caused a great distraction from the real issues. The underlying issues that influence population health the most are socioeconomic inequality and unequal distribution of health resources, and those are made worse by climate change. These key main causes of global health seem to have almost NOTHING to do with SDoH. SDoH are harder to address in low-resourced populations, so this model just blames and shames victim populations who don’t have the capacity to fight all these other forces. Public health – at least in the US – does not take a strong stand on how discriminating against people for various reasons (such as religion, LGBTQ status, and gender) reduces overall health significantly, allowing certain populations to continue to face health issues and not have public health advocacy. Public health does not see its role to fight for policy solutions, and the SDoH model gives it cover. Therefore, our expensive randomized studies of public health interventions based on the SDoH model are typically found not to work. Read the article here: https://lnkd.in/dCSmmnCS Are you a clinician completing a research degree? Need help with research design, protocol writing, IRB issues, sample size calculations, or statistical methods? Have a free 30-minute Zoom consultation with our epidemiology and data science expert! Register here: https://lnkd.in/dAAc_kgd #R4sasUsers #DethwenchLive #healthcare #dataanalytics #rstats
To view or add a comment, sign in
-
Our Premenstrual Symptoms Impact Survey (PMSIS) is an important #COA tool in the field of #womenshealth. Read more about how the survey helps measure health-related quality of life (HRQoL) for women with #PMS and #PMDD: https://lnkd.in/gJzwE46c #COA #patientinsights
To view or add a comment, sign in
-
This National Women's Health Week, read the Biennial Report for FY21–22. The report details the The National Institutes of Health-wide programs and accomplishments carried out in fulfillment of ORWH’s core mission. Read it for highlights in #WomensHealth research, details on the influence of #SexandGender on health and disease, and information on the diversity of NIH’s workforce and grantees. bit.ly/48AS8fe #NWHW
To view or add a comment, sign in
-
KFF’s 2023 Survey on Racism, Discrimination, and Health documents ongoing experiences with racism and discrimination, including in health care settings. While inequities in access to and use of health care contribute to disparities in health, inequities across broader social and economic factors that drive health, often referred to as social determinants of health, also play a major role. https://lnkd.in/gPBgEUD8 #healthdisparities #SDOH
Key Data on Health and Health Care by Race and Ethnicity | KFF
https://www.kff.org
To view or add a comment, sign in
-
How can we measure structural racism to gauge its impact on health outcomes? This study introduces a new measurement tool aimed at identifying disparities in health outcomes to equip policymakers with data to develop effective health equity policies.
How Racism Affects American Neighborhoods
housingmatters.urban.org
To view or add a comment, sign in
-
Resource of health equity-related data definitions, standards, and stratification practices. "...data integrity by better capturing the experiences of people marginalized by the healthcare system, will drive meaningful transformation in policies and programs. ….when collecting, stratifying, and/or analyzing health equity-related data. It may also clarify differences in results that may arise when different data standards and definitions are used. This document includes suggested definitions, standards, and stratification practices for the following sociodemographic elements: Race and Ethnicity Sex (assigned at birth) Gender identity Sexual orientation • Disability status • Primary Language • English language proficiency • Rurality/urbanicity or residence" https://lnkd.in/epRDmYxK
Resource of health equity-related data definitions, standards, and stratification practices
cms.gov
To view or add a comment, sign in