Mental Illness Disparities In Vets
Comparative Rates of Diagnoses Among Vulnerable Veteran Groups
@kaggle.thedevastator_mental_illness_disparities_in_vets
Comparative Rates of Diagnoses Among Vulnerable Veteran Groups
@kaggle.thedevastator_mental_illness_disparities_in_vets
By US Open Data Portal, data.gov [source]
This dataset, from the FY13 National Veteran Health Equity Report, provides a unique opportunity to understand mental illness disparities among vulnerable veteran groups in comparison to their non-vulnerable counterparts. Through this data we can learn about the sociodemographics, utilization patterns and rates of diagnosed health conditions for vulnerable veterans across VA facilities. This valuable information can inform how VA healthcare is managed and how stakeholders are able to set meaningful goals for improving care for these special populations. By equipping ourselves with understanding of mental illness diagnosis trends among vulnerable veteran population, we can continue our quest to ensure that all veterans in need get quality care when they need it
For more datasets, click here.
- 🚨 Your notebook can be here! 🚨!
Exploring the dataset
It is important to understand each variable before interpreting the data more closely so let's take a closer look at each variable:
- Vulnerable_population - This variable describes which particular demographic group is being studied; e.g., gender or race/ethnicity.
- Section - This variable indicates which section of the report that the data comes from; e.g., 1 or 2.
- Long_title - This variable contains information regarding the full title of a given study item as found within the report itself; e.g., Mental illness diagnoses (K-12).”
- Short_title - This variable offers a shortened version of a study item’s title for easy referencing later on; e.g.,M-I diagnoses. * Group -This variable describes what population group (i.e., veterans) is being studied specifically over time within an identified vulnerable population group per section and within overall categories specified by long titles and short titles; e
- Analyzing mental illness disparities among different vulnerable veteran groups to inform target outreach programs for care and resources.
- Using the dataset to track rates of diagnosied mental illnesses by section, group and subgroup in order to assess how factors such as age, sex and other demographics may play a role in mental health disparities.
- Utilizing comparative rate differences between groups to identify potential gaps in care or access to diagnostics or treatments for veterans with mental illness
If you use this dataset in your research, please credit the original authors.
Data Source
License: CC0 1.0 Universal (CC0 1.0) - Public Domain Dedication
No Copyright - You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission. See Other Information.
File: comma-separated-values-file-1.csv
| Column name | Description |
|---|---|
| Vulnerable_population | The vulnerable population being studied. (String) |
| Section | The section of the report that the data pertains to. (String) |
| Long_title | A more detailed description of the data. (String) |
| Short_title | A shortened version of the title. (String) |
| Group | The general group being studied. (String) |
| Group1 | Any further subgroups identified. (String) |
| Subgroup | Further details regarding the subgroups. (String) |
| Mental Illness | The mental illness being assessed. (String) |
| Value | The value associated with the mental illness. (Numeric) |
If you use this dataset in your research, please credit the original authors.
If you use this dataset in your research, please credit US Open Data Portal, data.gov.
CREATE TABLE comma_separated_values_file_1 (
"index" BIGINT,
"vulnerable_population" VARCHAR,
"section" VARCHAR,
"long_title" VARCHAR,
"short_title" VARCHAR,
"group" VARCHAR,
"group1" VARCHAR,
"subgroup" VARCHAR,
"mental_illness" VARCHAR,
"value" DOUBLE
);Anyone who has the link will be able to view this.