A Standardized Statistical Framework for Population Surveillance Using the National Health Interview Survey

JACC Advances 2026 Open access

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Authors: Adith S. Arun, Rishi Shah, Yuan Lu, S. S. Dhruva, Harlan M. Krumholz
DOI: 10.1016/j.jacadv.2025.102548
Cited by: 5
References: 1

Abstract

National health surveillance systems in the United States collect essential information about population health, yet differences in analytical methods often make it difficult to compare results across studies. This paper presents a clear and consistent framework for descriptive analyses using the National Health Interview Survey (NHIS). The framework establishes shared definitions for sociodemographic and clinical variables, outlines methods for handling missing data, and describes use of survey weights and multivariable models. This process will generate reproducible and interpretable estimates across different NHIS-based studies.

Fields of Study & Subjects

Survey Methodology and Nonresponse Data-Driven Disease Surveillance Census and Population Estimation

Publication details

Journal / source
JACC Advances
Publisher
Elsevier BV
Volume
5
Issue
4
Pages
102548–102548
Publication date
10 March 2026
Language
EN