Datasets:

HHS-Official
/

dqs-estimate-of-emergency-department-visits-in-the

dataset_shortname stringclasses 1 value	footnote_id_list stringlengths 9 11	fn_type stringclasses 4 values	fn_code stringclasses 1 value	flag stringclasses 1 value	fn_text stringlengths 166 1.93k
NHAMCS	SC_NHAMCS00	Source	null	null	National Center for Health Statistics, 2016-2022 National Hospital Ambulatory Medical Care Survey (NHAMCS). More information on the National Ambulatory Medical Care Survey and National Hospital Ambulatory Medical Care Survey data, methods, and definitions is available from: https://www.cdc.gov/nchs/ahcd/survey_methods.htm.
NHAMCS	NA_NHAMCS15	Flag	*	*	If a single asterisk (*) is shown in the table, estimates do not meet National Center for Health Statistics standards of reliability and will not appear in the chart.
NHAMCS	NT_NHAMCS07	Note	null	null	When selecting "By primary payment source" from the dropdowns, subgroup visit counts will not sum to the respective annual totals because visits with a missing or unknown payment sources are excluded.
NHAMCS	FN_DHCS00	Footnote	null	null	Based on International Classification of Diseases, 10th Revision, Clinical Modification (ICD-10-CM). See Table 11 of the NHAMCS: 2021 Emergency Department Summary Tables for code ranges of diagnosis categories, available from: https://www.cdc.gov/nchs/ahcd/web_tables.htm.
NHAMCS	FN_DHCS01	Footnote	null	null	Based on the patient's own words and coded according to Schneider D, Appleton L, McLemore T. A reason for visit classification for ambulatory care. Vital Health Stat 2. 1979 Feb;(78):1-63. PMID: 433160. See Appendix II of the 2022 NHAMCS public-use documentation for reason for visit classification, available from: https://ftp.cdc.gov/pub/Health_Statistics/NCHS/Dataset_Documentation/NHAMCS/doc22-ed-508.pdf.
NHAMCS	FN_DHCS02	Footnote	null	null	Calculated by dividing the number of ED visits by estimates of the U.S. civilian noninstitutionalized population (obtained from the U.S. Census Bureau's Population Division) for selected characteristics including age, sex, and race and ethnicity. Visit rates for patient's expected source of payment are based on patient's primary expected source of payment and proportional insurance data from the National Health Interview Survey.
NHAMCS	FN_DHCS03	Footnote	null	null	During data collection for primary payment source, all sources of payment were collected. For patients with more than one source of payment, the hierarchy below was used (with Medicare counted first and self-pay and no charge counted last) to collapse payments into one mutually exclusive variable (expected source of payment). Visits that had a missing or unknown payment source were excluded (between 10-14% [weighted] from 2016-2022). Definitions for each primary payment source were defined as follows: (1) Medicare - partial or full payment by Medicare plan includes payments made directly to the hospital as well as payments reimbursed to the patient. Charges covered under a Medicare-sponsored prepaid plan are included; (2) Medicaid - partial or full payment by Medicaid plan includes payments made directly to the hospital or reimbursed to the patient. Charges covered under a Medicaid-sponsored prepaid plan (HMO) or managed Medicaidare included; (3) Private - partial or full payment by a private insurer (such as BlueCross BlueShield), either directly to the hospital or reimbursed to the patient. Charges covered under a private insurance-sponsored prepaid plan are included; (4) Uninsured - includes self-pay and no charge or charity. Self-pay are charges paid by the patient or patient's family that will not be reimbursed by a third party. Self-pay includes visits for which the patient is expected to be responsible for most of the bill, even if the patient never actually pays it. This does not include copayments or deductibles. No charge or charity are visits for which no fee is charged (such as charity, special research, or teaching); (5) Other - includes Worker's Compensation and other sources of payment not covered by the above categories, such as TRICARE, state and local governments, private charitable organizations, and other liability insurance (such as automobile collision policy coverage).
NHAMCS	FN_DHCS04	Footnote	null	null	Race and Hispanic ethnicity were collected separately and converted into a single combined variable that includes non-Hispanic White, non-Hispanic Black, Hispanic, and non-Hispanic other people. Non-Hispanic other people includes Asian, Native Hawaiian or Other Pacific Islander, and American Indian or Alaska Native people, and people with two or more races. Missing values for race and ethnicity were imputed as described in the 2022 NHAMCS public-use documentation, available from: https://ftp.cdc.gov/pub/Health_Statistics/NCHS/Dataset_Documentation/NHAMCS/doc22-ed-508.pdf.
NHAMCS	FN_DHCS05	Footnote	null	null	The primary diagnoses and reasons for visit included in the application were the 10 leading categories in 2022. Rankings for the 10 leading categories were identified using weighted data from 2022 and were then assessed in prior years; however, rankings were relatively consistent over the evaluated years. Estimates in this visualization highlight and expand on information provided in the annual NHAMCS web tables, which can be used to assess how these categories and rankings changed over the evaluated years. NHAMCS web tables are available from: https://www.cdc.gov/nchs/ahcd/web_tables.htm.
NHAMCS	FN_DHCS06	Footnote	null	null	MSA is Metropolitan statistical area. Visit rates and counts for MSA are based on estimates of the U.S. civilian noninstitutionalized population from the National Health Interview Survey, compiled according to the Office of Management and Budget definitions of core-based statistical areas. More information about MSA definitions is available from: https://www.census.gov/programs-surveys/metro-micro.html.
NHAMCS	FN_DHCS07	Footnote	null	null	In the geographic classification of the U.S. population, states are grouped into four regions used by the U.S. Census Bureau. Northeast: Maine, New Hampshire, Vermont, Massachusetts, Rhode Island, Connecticut, New York, New Jersey, and Pennsylvania. Midwest: Ohio, Indiana, Illinois, Michigan, Wisconsin, Minnesota, Iowa, Missouri, North Dakota, South Dakota, Nebraska, and Kansas. South: Delaware, Maryland, District of Columbia, Virginia, West Virginia, North Carolina, South Carolina, Georgia, Florida, Kentucky, Tennessee, Alabama, Mississippi, Arkansas, Louisiana, Oklahoma, and Texas. West: Montana, Idaho, Wyoming, Colorado, New Mexico, Arizona, Utah, Nevada, Washington, Oregon, California, Alaska, and Hawaii.

DQS Estimate of Emergency Department Visits in the United States Footnotes

Description

List of footnotes, notes, and source information for The National Hospital Ambulatory Medical Care Survey (NHAMCS). Each row of this dataset contains the accompanying text for a footnote found in NHAMCS dataset. The footnote lookup can be merged onto any NHAMCS dataset using, DATASET_SHORT_NAME, FN_ID, FN_TYPE, and FN_TEXT.

SOURCE: National Center for Health Statistics CDC, The National Hospital Ambulatory Medical Care Survey (NHAMCS)

Dataset Details

Publisher: Centers for Disease Control and Prevention
Temporal Coverage: 2016-2021
Geographic Coverage: United States
Last Modified: 2025-04-21
Contact: National Center for Health Statistics ([email protected])

Source

Original data can be found at: https://www.cdc.gov/nchs/ahcd/datasets_documentation_related.htm

Usage

You can load this dataset using:

from datasets import load_dataset
 dataset = load_dataset('HHS-Official/dqs-estimate-of-emergency-department-visits-in-the')

License

This dataset is licensed under https://www.usa.gov/government-works

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