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N.C. Data Resources

Data Science/analysis. CBCSE Cost Tool Kit. Home - Roper Center. Fuzzy Matching - new version plus explanation. Gapminder: Unveiling the beauty of statistics for a fact based world view. Tell your story through data - DataMade. United Way Community Impact Resources. The Urban Institute. The Premier Open Source Data Quality Solution. Trusted evidence. Informed decisions. Better health. The Guide to Community Preventive Services (The Community Guide)

Home - US Preventive Services Task Force. Welcome to WISE (Web Interface for Statistics Education) Free statistical software. Click here to return to methods page click here to return to social change page This page lists primarily statistical software, along with mapping, spreadsheets, database, stuff to do data analysis or management.

free statistical software

All of the packages are free to use, that is: there is no charge for individuals to use them. Many of the websites say that individuals are free to download and use the packages. In some cases, there may be charges to institutions. Some of the packages are also open, that is, they are free to use and the source code is freely available so anyone can make modifications to the programs if they wish to.

Please note: I've only used a few of these software programs a little bit, so I can't say much about how good they are, whether they crash, have viruses, or much else about them. Statistics There are many free statistical programs. Several of these stat programs were reviewed in an article in Opus 12, a journal covering Opus 12 Foundation research. John C. Statistics on the web. Statistics Sites by Subject.

Data - Sheps Center. NC DHSR: Licensed Facilities. IOM Home - Institute of Medicine. The National Association of County and City Health Officials. Chronic Disease Indicators (CDI) Community Health Status Indicators - CHSI. CHSI 2015 is an interactive web application that produces health profiles for all 3,143 counties in the United States.

Community Health Status Indicators - CHSI

Each profile includes key indicators of health outcomes, which describe the population health status of a county and factors that have the potential to influence health outcomes, such as health care access and quality, health behaviors, social factors and the physical environment. The social factors and the physical environment are especially important because they represent the conditions in which people are born, work, and play. Dashboard. The Medicare Chronic Conditions Dashboard(s) present statistical views of information on the prevalence, utilization and Medicare spending for Medicare beneficiaries with chronic conditions and multiple chronic conditions.

Dashboard

The information is presented for HHS/CMS regions, states, counties, and hospital referral regions and is available in four separate dashboards. The dashboards also allow the user to select information for specific beneficiary sub-groups defined by gender, age group, and Medicare and Medicaid enrollment (dual eligibility status). The dashboards present data for 2012.

Inquiries regarding this data can be sent to MedicareChronicConditions@cms.hhs.gov. AHRQ Measures Database. AHRQ Innovations Exchange. NCQA > HEDIS & Quality Measurement. Clinical Quality Measures. CMS uses clinical quality measures (CQMs) in a variety of quality initiatives that include quality improvement and public reporting.

Clinical Quality Measures

ONC certifies that electronic health record (EHR) technologies are capable of accurately calculating the CQM results for the meaningful use incentive program. Quality Measure Code Sets The Clinical Quality Measures used by the HHS EHR incentive program are comprised of definitions, measure logic, data elements, and value sets. Four federal agencies: the Agency for Healthcare Research and Quality (AHRQ), CMS, the National Library of Medicine (NLM), and ONC are providing these components in various formats in order to be understood by technical, non-technical, and clinical consumers. The Value Set Authority Center will provide downloadable access to all official versions of vocabulary Value Sets contained in CQMs that support Meaningful Use Stage 2.

Value Sets – Value sets define clinical concepts unambiguously. Graduate Programs in Big Data Analytics and Data Science. Top KDnuggets tweets, Jan 14-16: Machine Learning humor: “Love Thy Nearest Neighbor”; What is a zetta-byte, visualized. Machine Learning humor on a T-shirt: "Love Thy Nearest Neighbor"; BigData - what is a zetta-byte, visualized; How to find useful external data (key question for most data mining tasks); Graduate Programs in #BigData Analytics, Data Science - updated.

Top KDnuggets tweets, Jan 14-16: Machine Learning humor: “Love Thy Nearest Neighbor”; What is a zetta-byte, visualized

About Health Insurance - U.S Census Bureau. The Census Bureau produces health insurance data from three surveys and one model-based program.

About Health Insurance - U.S Census Bureau

Depending on your needs, one data source may be more suitable than another data source. The following is a list of programs from the Census Bureau: CPS ASEC: The Annual Social and Economic Supplement to the Current Population SurveyACS: The American Community SurveySAHIE: The Small Area Health Insurance Estimates ProgramSIPP: The Survey of Income and Program Participation The programs differ in length and detail of the survey questionnaire, the number of households interviewed, the methodology used to collect and process the data, and consequently, in the health insurance estimates produced.

As a result, it is important to understand how different surveys and methods produce different results, and when it is appropriate to use each survey or method. The chart below summarizes the recommendations at various geographic levels: Figure 1. Downloads - Dartmouth Atlas of Health Care. [ Home Page > Tools > Downloads ] Downloads Care of Chronically Ill Patients during the Last Two Years of Life All chronically ill patients Deaths occurring in 2010.

Downloads - Dartmouth Atlas of Health Care

Small Area Health Insurance Estimates (SAHIE) for Counties and States. Chronic Disease - Chronic Disease Cost Calculator. Chronic diseases are among the most prevalent, costly, and preventable of all health problems.

Chronic Disease - Chronic Disease Cost Calculator

Medical spending has grown rapidly in recent years and is placing a significant burden on state budgets. To help states estimate the economic burden of chronic diseases, the Centers for Disease Control and Prevention and RTI International developed the Chronic Disease Cost Calculator version 2. Please note that this is an update to version 1 of the Calculator. The Chronic Disease Cost Calculator version 2 is a downloadable tool that provides state-level estimates of medical expenditures and absenteeism costs for: ArthritisAsthmaCancerCardiovascular diseases (congestive heart failure, coronary heart disease, hypertension, stroke, and other cerebrovascular disease)DepressionDiabetes Specifically, the Cost Calculator provides the following estimates for each chronic condition: Due to differences in data sources and methods, the estimates may differ from other cost estimates. 2012 Health Center Data - National Program Grantee Data. Track - Healthy People 2020.

<p><span class="bold">Note:</span> JavaScript is disabled or is not supported by your browser. </p> Questions To Ask and Answer: Are we evaluating our work? Did we follow the plan? What did we change? Did we reach our goal? Consider partnering with a local university or State center for health statistics to help with data tracking. County Health Rankings & Roadmaps. Obesity Prevalence Maps 2013 - DNPAO - CDC. Obesity prevalence in 2014 varies across states and territories.

Obesity Prevalence Maps 2013 - DNPAO - CDC

No state had a prevalence of obesity less than 20%. 5 states and the District of Columbia had a prevalence of obesity between 20% and <25%. 23 states, Guam and Puerto Rico had a prevalence of obesity between 25% and <30%. 19 states had a prevalence of obesity between 30% and <35%. 3 states (Arkansas, Mississippi and West Virginia) had a prevalence of obesity of 35% or greater. The Midwest had the highest prevalence of obesity (30.7%), followed by the South (30.6%), the Northeast (27.3%), and the West (25.7%). Prevalence¶ of Self-Reported Obesity Among U.S.

Adults by State and Territory, BRFSS, 2014 ¶Prevalence estimates reflect BRFSS methodological changes started in 2011. Source: Behavorial Risk Factor Surveillance System, CDC. Kaiser Family Foundation - Health Policy Research, Analysis, Polling, Facts, Data and Journalism.

Cancer Data Sources