¿Cómo puede usar los datos y la evidencia para informar políticas inclusivas de salud y bienestar?

Using data and evidence to inform inclusive health and wellness policies is essential for developing policies that effectively address the diverse needs and priorities of all individuals and communities. Gather comprehensive data on health disparities, social determinants of health, and the specific needs of marginalized or underserved populations. Analyze data to identify disparities in health outcomes and access to healthcare services among different demographic groups. Conduct needs assessments to identify the specific health and wellness needs of different populations within the community. Use surveys, focus groups, interviews, and other research methods to gather qualitative and quantitative data on community members' priorities.

I love data. But I recognize its flaws. And more often than not, flawed data is a result of immature data analysts who handle it.

Raw, unbiased data is the foundation for any Talent and DEI programming or initiative! They allow us to understand what our employees need and want - and, more importantly - where intentional inclusion and equity can take place.

Without an understanding of current state, choosing solutions and designing policies is only taking a stab in the dark. You would never start an operational initiative without knowing and measuring the current situation.

In the quest for inclusive health policies, diving into granular data unearths nuances in community needs. Tailoring policies becomes sharper, addressing unseen gaps. Engaging communities in data gathering enriches insights, making policies not just inclusive but community-backed. Evaluating through a wide lens, including indirect impacts, ensures policies adapt, grow, and genuinely serve all.

When collecting and analyzing data, we must keep our biases and prejudices in check. Otherwise, we might look at the data just to confirm our assumptions instead of looking for insight on how to create better and more inclusive programs and systems. To do so, I strongly recommend: 🔹 Run your survey questions by as many DEI-informed professionals as possible, so you can identify gaps or un-intentional exclusion. 🔹 If possible, consult your ERGs. 🔹 Look for a survey platform that is accessible and equitable. 🔹 Use plain and inclusive language in your survey questions.

Creating a committee made up of diverse perspectives can help you determine where to source your data and what populations/questions to ask for qualitative data collection. This can help you see past your own perspective and collect a truer understanding of current state.

To effectively inform inclusive health and wellness policies, one must prioritize diversity in data sources, ensuring a broad spectrum of voices is heard. Incorporating both quantitative and qualitative insights offers a more complete picture, highlighting not just numbers but the stories behind them. Ethical considerations are paramount; respect for privacy and informed consent should guide data collection. This blend of respect, diversity, and ethical practice lays the foundation for genuinely inclusive policies.

Firstly we need to collect both quantitative and qualitative data through surveys, interviews, and focus groups. We also need to make sure that the data privacy collected and obtained has been consented to. Next, we need to analyse the data to identify patterns and trends. For example, Schroder, a global investment firm, uses employee surveys and demographic data to track DEI progress and inform policy decisions

Diving into data, it’s clear that understanding demographic variances enhances policy inclusivity. By segmenting data, we identify nuanced health needs across populations, ensuring no one is left behind. Equally, integrating feedback mechanisms allows for real-time policy adjustments, making sure initiatives stay relevant and effective. In this process, collaboration with diverse stakeholders not only enriches the strategy but also amplifies policy acceptance and impact.

After analyzing your data, choose 1 or 2 specific initiatives to focus on and run pilots. Measure again to see if your actions had impact, and if not, repeat the process with new actions.

We have identified that we use data to set clear, measurable goals and design evidence-based interventions. We also need to consistently evaluate and adjust policies based on ongoing data collection. McKinsey found that 39% of job seekers have turned down opportunities due to perceived lack of inclusion, highlighting the importance of data-driven DEI policies in talent acquisition and retention

In crafting inclusive health policies, a blend of fresh insights and continuous updates enriches effectiveness. Engage in lively dialogues with diverse groups to catch unique needs and perspectives. Morphing strategies based on these conversations keeps policies aligned with dynamic community landscapes. Incorporating tech tools for real-time data analysis can pinpoint trends and gaps swiftly, enabling swift action. Remember, adapting to feedback isn't just beneficial, it's essential for policies that truly support well-being for all.