The data includes, for each designated geographic area, employment and payroll data organized by NAICS. The North American Industry Classification System (NAICS) is used by the United States, Canada, and Mexico to classify businesses by industry. "This data is useful for studying the economic activity of small areas; analyzing economic changes over time; and as a benchmark for other statistical series, surveys, and databases between economic censuses. Businesses use the data for analyzing market potential, measuring the effectiveness of sales and advertising programs, setting sales quotas, and developing budgets. Government agencies use the data for administration and planning." (from website)

The World Development Indicators (WDI) is the primary World Bank collection of development indicators, compiled from officially recognized international sources. It presents the most current and accurate global development data available, and includes national, regional and global estimates. You can create your own queries; generate tables, charts, and maps; and easily save, embed, and share them. (From the World Bank DataBank website). It is one of the databases in the World Bank DataBank.

The MCBS is a multipurpose survey of a nationally representative sample of the Medicare population to determine expenditures and sources of payment for all services used by Medicare beneficiaries. These include co-payments, deductibles, as well as non-covered healthcare costs. Additionally, all types of health insurance coverage has been related to sources of payment. Finally, outcomes over time were traced to assess the impacts of Medicare program changes on satisfaction with care and usual source of care. This UMB dataset is maintained by the Pharmaceutical Research Computing Center within the Department of Pharmaceutical Health Services Research at the University of Maryland School of Pharmacy. The Center provides computer programming, data management, pharmaceutical classification, and analytical support for health services research and evaluation.

This UMB dataset consists of a 10% random sample of the IQVIA Health Plans Claims Database which is comprised of adjudicated claims from health plan and self-employed groups. It is a mix of commercial PPO and commercial Medicare and Medicaid data for millions of unique patients. In addition to standard fields such as inpatient and outpatient diagnoses and procedures, retail and mail order prescription records, the database has detailed information on the pharmacy and medical benefit (copay/coinsurance amount, deductible), the inpatient stay (admission type and source, discharge status) and provider details (specialty, zip code, attending, referring, rendering, prescribing, primary care provider). The dataset is maintained by the Pharmaceutical Research Computing Center within the Department of Pharmaceutical Health Services Research at the University of Maryland School of Pharmacy. The Center provides computer programming, data management, pharmaceutical classification, and analytical support for health services research and evaluation.

This UMB dataset available from the Centers for Medicare and Medicaid Services (CMS) Chronic Condition Data Warehouse (CCW) consists of a 5% random sample of all Medicare and Medicaid beneficiaries with claims and assessment data linked across the continuum of care with matching, deduplications, and merging of files already processed. The CMS CCW includes variables for 27 chronic conditions which identify additional chronic health, mental health and substance abuse issues. Developed to facilitate researchers in the identification of cohorts of beneficiaries with specific conditions, the variables are the result of algorithms that searched the CMS administrative claims data for specific diagnosis, MS-DRG, and procedure codes. It is maintained by the Pharmaceutical Research Computing Center within the Department of Pharmaceutical Health Services Research at the University of Maryland School of Pharmacy. The Center provides computer programming, data management, pharmaceutical classification, and analytical support for health services research and evaluation.

Beta-lactams provide superior outcomes in comparison to vancomycin in treating methicillin-susceptible Staphylococcus aureus (MSSA) infections complicated by bacteremia. However, approximately 11% of inpatients report a penicillin (PCN) allergy when it is estimated that only 1% of the general population is truly allergic to the antibiotic. Consequently, many patients may be receiving suboptimal treatment for a serious infection with a high mortality rate. This study evaluated the cost-effectiveness of penicillin skin testing (PST) in adult inpatients self-reporting PCN allergy and undergoing treatment for MSSA bacteremia. A decision analytic model was developed comparing an acute care PST intervention to a scenario with no confirmatory allergy testing. This dataset includes a decision analytic model diagram, model inputs, and an Excel file with MSSA bacteremia model parameters and probabilistic simulation calculations.