NHSPI_measure_metadata: 120

This data as json, copyable

rowid obsid index item_code domain_code domain_name domain_description subdomain_code subdomain_name subdomain_description subdomain_long_desc measure_name measure_description measure_rationale data_source verbose_data_source data_dates limitations
120 257.1 Index 6.2.10 6.0 EOH Environmental & Occupational Health 18.0 EM Environmental Monitoring The systematic collection and continuous or frequent standardized measurement and observation of: environmental specimens (air, water, land/soil, and plants) analyzing the presence of an indicator, exposure, or response (warning and control), including monitoring the environment for vectors of disease to give information about the environment to assess past and current status and predict future trends M904 Number of environmental scientists and specialists (including health) per 100,000 population in the state States with a larger supply of environmental health specialists may have a superior ability to prevent, detect and contain health hazards related to air, water, food, housing, soil, climate, and other environmental conditions. BLS OES Bureau of Labor Statistics (BLS), Occupational Employment Statistics (OES), OES 19-2041 2012—2017 The measure does not evaluate the level of training of the environmental and health scientists. The measure does not consider mutual aid plans that may be in place for agencies to supplement the number of available environmental and health scientists in the event of an emergency. Also, BLS and other national data sources on health provider supply have been shown to undercount certain types of health professionals, and may differ considerably from the estimates available from state medical licensing boards. Since the measurement undercounting in the BLS data are expected to be relatively consistent across states, they should not cause significant bias in the Index state and national results. The Bureau of Labor Statistics (BLS) produces occupational estimates by surveying a sample of non-farm establishments. As such, estimates produced through the Occupational Employment Statistics (OES) program are subject to sampling error.