Name File Type Size Last Modified
  data 05/20/2022 11:15:AM
  documentation 05/20/2022 11:15:AM

Project Citation: 

Bynum, Julie. National Hospital Ambulatory Medical Care Survey (NHAMCS) for Dementia Researchers, 2014-2019. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2022-05-20.

Project Description

Summary:  View help for Summary This series of data files are intended for use in cognitive decline and Alzheimer’s disease and related dementias (ADRD) research. The files include six datasets derived from the 2014-2019 National Hospital Ambulatory Medical Care Survey (NHAMCS) Emergency Department (ED) files. NHAMCS provides users with detailed information on patient visits to EDs across the United States.

The provided datasets include sociodemographic information on respondents’ census region, age, sex, and race, the patient's reason for visit, number of chronic conditions, and expected source of payment. Full ICD-9-CM and truncated ICD-10-CM codes were used to identify patient visits with an ADRD or other cognitive impairment. Brief and detailed summaries of the variables available in these datasets along with more detailed descriptions of performed calculations can be found in the provided data dictionaries. SAS, Stata, and CSV file formats are provided.
Funding Sources:  View help for Funding Sources United States Department of Health and Human Services. National Institutes of Health. National Institute on Aging (AG066582)

Scope of Project

Subject Terms:  View help for Subject Terms Aging; Cognition; Cognitive Impairment; Dementia; Alzheimers disease; ADRD; Cognitive Function; Memory; CAPRA
Geographic Coverage:  View help for Geographic Coverage U.S.A.
Time Period(s):  View help for Time Period(s) 2014 – 2019
Universe:  View help for Universe From the NHAMCS website, these data are based on a “national sample of visits to emergency departments (EDs) in noninstitutional general and short-stay hospitals, exclusive of Federal, military, and Veterans Administration hospitals, located in the 50 States and the District of Columbia… Each emergency department is randomly assigned to a 4-week reporting period. During this period, data for a systematic random sample of visits are recorded by Census interviewers using a computerized Patient Record Form”
Data Type(s):  View help for Data Type(s) clinical data
Collection Notes:  View help for Collection Notes Users of this resource should be familiar with complex survey design and appropriately apply the sample weights, strata, and primary sampling units for any analyses. patwt should be used for patient-visit-level analyses; edwt should be used for ED-level analyses.

The list of ICD-9 and truncated ICD-10 codes are below.

ICD-9 (2014-2015):
2900-, 2901-, 29010, 29011, 29012, 29013, 2902-, 29020, 29021, 2903-, 2904-, 29040, 29041, 29042, 29043, 2941-, 29410, 29411, 2942-, 29420, 29421, 331--, 3310-, 33111, 33119, 33182, 2908-, 2940-, 3312-, 3317-, 3318-, 33189, 797--

ICD-10 (2016-2019):
F015, F028, F039, G300, G301, G308, G309, G310, G318, F04-, G311, G312, R418

Please note that for truncated ICD-10-CM diagnosis codes G318 and R418, there are additional possible diagnoses that may not truly indicate ADRD.


Response Rate:  View help for Response Rate Please see full documentation from NHAMCS for the response rate in a given year.
Sampling:  View help for Sampling Systematic random sample with a stratified, clustered sampling design.
Data Source:  View help for Data Source National Hospital Ambulatory Medical Care Survey (NHAMCS) from the National Center for Health Statistics (NCHS)
Collection Mode(s):  View help for Collection Mode(s) record abstracts
Scales:  View help for Scales N/A
Weights:  View help for Weights patwt should be used for patient-visit-level analyses; edwt should be used for ED-level analyses
Unit(s) of Observation:  View help for Unit(s) of Observation Patient Emergency Department Visit, Emergency Department
Geographic Unit:  View help for Geographic Unit U.S. Census Region

Related Publications

Published Versions

Export Metadata

Report a Problem

Found a serious problem with the data, such as disclosure risk or copyrighted content? Let us know.

This material is distributed exactly as it arrived from the data depositor. ICPSR has not checked or processed this material. Users should consult the investigator(s) if further information is desired.