Gender is a central component of health equity and must be examined and addressed explicitly in health information systems (HIS) through sex and age-disaggregated data, at a minimum, and ideally, through gender-sensitive data, as well. Involving community members in interpreting data, making meaning, and generating recommendations are critical steps to getting disaggregation right. This can inform evidence-based programs focusing on mental health as well as documenting a possibly overlooked need … This data helps to know the inequalities between the divided sub-categories that an aggregated data cannot explain. Disaggregated data can be used to see if there are meaningful differences by subpopulations in who is accessing mental services and what treatments are successful. What it tells you is what is going on. Data disaggregation means breaking down data into detailed sub-categories, allowing you to get a better understanding of : - the needs of specific groups of people (e.g. Disaggregation of student data refers to breaking down data about a student population into smaller groupings, based on qualities or characteristics such as gender, racial/ethnic group, or family income. Disaggregated data is data that’s been broken down into specific subcategories, for instance, by asking about a person’s education level, region, or income level. The data that HIS produce … How to use disaggregate in a sentence. Gender disaggregation goes a step further by collecting the necessary data with gender as a primary subcategory, relying on women’s agency in the data analysis. Student achievement data is often reported for whole populations (for example, cohorts, year levels, whole class). What you do with it to address the inequities, that’s the conversation we are trying to have with people.” The collection of disaggregated data is a step forward, but it’s only the beginning. summaries as well as disaggregated data that accurately describe smaller groups of students they serve. What exactly do we mean by sex-disaggregated data? However, it is not until the data is disaggregated that patterns, trends and other important information are uncovered. Current trends in race data disaggregation. disaggregate data, it is important to first understand exactly what is “aggregate data” versus “disaggregated data.” There is no one definitive source that speaks to these distinctions, however, the following definitions, collected from a multitude of sources, provides a simplified overview of aggregate versus disaggregated data. Disaggregate definition is - to separate into component parts. Data is the raw facts and figures. This is called aggregate data. “The data is the initial part of the conversation. The data in itself is not justice. This typically involves asking the “who” questions in an agricultural household survey: who provides labor, who makes the decisions, who owns and controls the land and other resources. This data can be grouped into three categories like gender, region, and ethnicity. Educators need both high-level data . Please note, that this document only refers to the disaggregation dimensions stated in §74 (g) of the Resolution 70/1. Sex-disaggregated data are data that are collected and analysed separately on males and females. The U.S. Census Bureau was discussing several useful moves toward more disaggregation for the 2020 Census. 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