Health and Disease Indicator Reports

**Overview**
Health indicators are quantifiable characteristics of a population which researchers use as supporting evidence for describing the health of a population. The researchers use a survey methodology to gather information about certain people, use statistics in an attempt to generalize the information collected to the entire population, then use the statistical analysis to make a statement about the health of a population. Health indicators are often used by governments to guide health care policy.

**Description**
This data package contains a number of datasets containing information on various health indicators. Health indicators are summary measures that are designed to describe particular aspects of a population's health or health system performance. One set of datasets provides information on Medicare fee-for-service beneficiaries by number and percent for atrial fibrillation, heart attack and heart failure and ischemic heart disease. Few datasets provide national and state estimates of alcohol-related health impacts, including deaths and years of potential life lost (YPLL). These estimates are calculated for 54 acute and chronic causes using alcohol-attributable fractions and are reported by age and sex for 2006-2010. The chronic disease indicators (CDI) are a set of surveillance indicators developed by consensus among CDC, the Council of State and Territorial Epidemiologists (CSTE), and the National Association of Chronic Disease Directors (NACDD). CDI enables public health professionals and policymakers to retrieve uniformly defined state and selected metropolitan-level data for chronic diseases and risk factors that have a substantial impact on public health. These indicators are essential for surveillance, prioritization, and evaluation of public health interventions.

**Benefits**
- Enhances collaboration to address public issues. it provides tools to encourage progress. informs decision making and improves research. increases public knowledge about key issues

**License Information**
The use of John Snow Labs datasets is free for personal and research purposes. For commercial use please subscribe to the [Data Library](https://www.johnsnowlabs.com/marketplace/) on John Snow Labs website. The subscription will allow you to use all John Snow Labs datasets and data packages for commercial purposes.

**Included Datasets**
- [ARDI Alcohol Attributable Deaths due to Alcohol Use](https://www.johnsnowlabs.com/marketplace/ardi-alcohol-attributable-deaths-due-to-alcohol-use)
- This dataset provides national and state estimates of alcohol related health impacts, including deaths and years of potential life lost (YPLL). These estimates are calculated for 54 acute and chronic causes using alcohol attributable fractions, and are reported by age and sex for 2006-2010. This estimates the total number of deaths attributable to alcohol.
- [ARDI Alcohol Attributable Fractions for Alcohol Use](https://www.johnsnowlabs.com/marketplace/ardi-alcohol-attributable-fractions-for-alcohol-use)
- This dataset provides national and state estimates of alcohol related health impacts, including deaths and years of potential life lost (YPLL). These estimates are calculated for 54 acute and chronic causes using alcohol attributable fractions, and are reported by age and sex for 2006-2010. This dataset provides estimates of the proportion of deaths from various causes that are attributable to alcohol.
- [ARDI Years of Potential Life Lost due to Alcohol Use](https://www.johnsnowlabs.com/marketplace/ardi-years-of-potential-life-lost-due-to-alcohol-use)
- This dataset provides national and state estimates of alcohol related health impacts, including deaths and years of potential life lost (YPLL). These estimates are calculated for 54 acute and chronic causes using alcohol attributable fractions, and are reported by age and sex for 2006-2010. This dataset estimates the total number of alcohol related years of life lost resulting from premature death.
- [Atrial Fibrillation Medicare Beneficiaries by Number and Percentage](https://www.johnsnowlabs.com/marketplace/atrial-fibrillation-medicare-beneficiaries-by-number-and-percentage)
- This dataset contains information on Medicare fee-for-service beneficiaries with atrial fibrillation by number and percentage, where the numerator is the number of Medicare fee-for-service beneficiaries with atrial fibrillation, and the denominator is the number of Medicare fee-for-service beneficiaries.
- [Cardiovascular and Ischemic Heart Disease Deaths from 2010 to 2017](https://www.johnsnowlabs.com/marketplace/cardiovascular-and-ischemic-heart-disease-deaths-from-2010-to-2017)
- This dataset includes information regarding deaths with conditions of the cardiovascular system or ischaemic heart disease by underlying cause, by month and year, which occurred between 2010 and 2017. Data value includes males and females in England and Wales.
- [Community Health Indicator Reports NY](https://www.johnsnowlabs.com/marketplace/community-health-indicator-reports-ny)
- This dataset contains the latest community health indicator data available. New York State Community Health Indicator Reports (CHIRS) were developed in 2012, and are updated annually to consolidate and improve data linkages for the health indicators included in the County Health Assessment Indicators (CHAI) for all communities in New York.
- [Congestive Heart Failure Admission Rate](https://www.johnsnowlabs.com/marketplace/congestive-heart-failure-admission-rate)
- This file contains information on Congestive heart failure admission rate per 100,000 beneficiaries. Numerator is the number of non-maternal discharges with ICD-9-CM principal diagnosis code for congestive heart failure and denominator is the number of Medicare fee-for-service beneficiaries.
- [Coronary Heart Disease Deaths](https://www.johnsnowlabs.com/marketplace/coronary-heart-disease-deaths)
- This file contains information on number of coronary heart disease-related deaths (ICD-10 codes I20-I25), where numerator is the number of coronary heart disease-related deaths and denominator is the number of persons. Data includes death due to ischemic heart diseases (acute myocardial infarction, other acute ischemic heart diseases, and other forms of chronic ischemic heart disease).
- [Health Status and Indicators by City US Total](https://www.johnsnowlabs.com/marketplace/health-status-and-indicators-by-city-us-total)
- This dataset illustrates health status of 26 of the nation’s largest and most urban cities as captured by 34 health (and six demographics-related) indicators. These indicators represent some of the leading causes of morbidity and mortality in the United States and leading priorities of national, state, and local health agencies.
- [Heart Attack Medicare Beneficiaries by Number and Percentage](https://www.johnsnowlabs.com/marketplace/heart-attack-medicare-beneficiaries-by-number-and-percentage)
- This dataset contains infomation on number and percentage of Medicare fee-for-service beneficiaries who have had a heart attack, where numerator is number of Medicare fee-for-service beneficiaries who have had a heart attack and denominator is number of Medicare fee-for-service beneficiaries.
- [Heart Disease Prevalence in Adults by Percent](https://www.johnsnowlabs.com/marketplace/heart-disease-prevalence-in-adults-by-percent)
- This dataset contains information about respondent-reported prevalence of heart disease among adults aged 18 and over between 2010 and 2012.
- [Heart Disease Relative Risk](https://www.johnsnowlabs.com/marketplace/heart-disease-relative-risk)
- This dataset provides estimates of relative risks used by age and by outcome for each 10 mmHg increase in systolic blood pressure. This dataset is used to determine the worldwide association between elevated blood pressure and the burden of disease.
- [Heart Failure Medicare Beneficiaries by Percent](https://www.johnsnowlabs.com/marketplace/heart-failure-medicare-beneficiaries-by-percent)
- This dataset contains information on the number of Medicare fee-for-service beneficiaries with heart failure from 2007 to 2013.
- [Ischemic Heart Disease Medicare Beneficiaries by Number and Percentage](https://www.johnsnowlabs.com/marketplace/ischemic-heart-disease-medicare-beneficiaries-by-number-and-percentage)
- This dataset contains information on the number and percentage of Medicare fee-for-service beneficiaries with ischemic heart disease from 2007 to 2013.
- [Mean Systolic Blood Pressure 1990 and 2015](https://www.johnsnowlabs.com/marketplace/mean-systolic-blood-pressure-1990-and-2015)
- This dataset provides estimates of mean systolic blood pressure (mm Hg) and 95% uncertainty intervals by sex and by age in 1990 and 2015 for all countries. This dataset is used to determine the worldwide association between elevated blood pressure and the burden of disease.
- [US Chronic Disease Indicators](https://www.johnsnowlabs.com/marketplace/us-chronic-disease-indicators)
- This dataset includes information about Centers for Disease Control and Prevention (CDC)'s Division of Population Health provides cross-cutting set of 124 indicators that were developed by consensus and that allows states and territories and large metropolitan areas to uniformly define, collect, and report chronic disease data.

**Data Engineering Overview**
**We deliver high-quality data**
- Each dataset goes through 3 levels of quality review
- 2 Manual reviews are done by domain experts
- Then, an automated set of 60+ validations enforces every datum matches metadata & defined constraints
- Data is normalized into one unified type system
- All dates, unites, codes, currencies look the same
- All null values are normalized to the same value
- All dataset and field names are SQL and Hive compliant
- Data and Metadata
- Data is available in both CSV and Apache Parquet format, optimized for high read performance on distributed Hadoop, Spark & MPP clusters
- Metadata is provided in the open Frictionless Data standard, and its every field is normalized & validated
- Data Updates
- Data updates support replace-on-update: outdated foreign keys are deprecated, not deleted

**Our data is curated and enriched by domain experts**

Each dataset is manually curated by our team of doctors, pharmacists, public health & medical billing experts:
- Field names, descriptions, and normalized values are chosen by people who actually understand their meaning
- Healthcare & life science experts add categories, search keywords, descriptions and more to each dataset
- Both manual and automated data enrichment supported for clinical codes, providers, drugs, and geo-locations
- The data is always kept up to date – even when the source requires manual effort to get updates
- Support for data subscribers is provided directly by the domain experts who curated the data sets
- Every data source’s license is manually verified to allow for royalty-free commercial use and redistribution.

**Need Help?**
If you have questions about our products, contact us at [[e-mail]](mailto:[e-mail]).