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

Adith S Arun, Rishi M Shah, Yuan Lu, Sanket S Dhruva, Harlan M Krumholz

Abstract read

In one paragraph

Article in JACC. Advances, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it

0cells of the map it votes in

0citing papers in PubMed

–field-weighted citation impact

1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Adith S ArunCenter for Outcomes Research and Evaluation, Yale New Haven Hospital, New Haven, Connecticut, USA; Yale School of Medicine, New Haven, Connecticut, USA.

Rishi M ShahCenter for Outcomes Research and Evaluation, Yale New Haven Hospital, New Haven, Connecticut, USA; Yale College, New Haven, Connecticut, USA.

Yuan LuCenter for Outcomes Research and Evaluation, Yale New Haven Hospital, New Haven, Connecticut, USA; Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut, USA; Section of Biomedical Informatics and Data Science, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut, USA; Department of Chronic Disease Epidemiology, Yale School of Public Health, New Haven, Connecticut, USA.

Sanket S DhruvaSection of Cardiology, Department of Medicine, University of California, San Francisco-School of Medicine, San Francisco, California, USA; Philip R. Lee Institute for Health Policy Studies, University of California, San Francisco, California, USA.

Harlan M KrumholzCenter for Outcomes Research and Evaluation, Yale New Haven Hospital, New Haven, Connecticut, USA; Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut, USA; Department of Health Policy and Management, Yale School of Public Health, New Haven, Connecticut, USA. Electronic address: harlan.krumholz@yale.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

NHISpopulation trendsstatistical framework

Identifiers

PMID41805279

DOI10.1016/j.jacadv.2025.102548

PMCPMC13131382

What OpenQuestion holds

Textmetadata

LicenceCC BY-NC-ND

Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.