Evidence map›Paper›PMID 35654662›Full record

ArticleValue in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research2022

The National Hospital Care Survey Is a Unique Source of Data on Rare Diseases.

Alex Strashny, Josephine Alford, Catherine Rappole, Loredana Santo

Open access · greenAbstract read
In one paragraph

Article in Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research, 2022. 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
0.4field-weighted citation impact, top 38% of its field
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, 2 citations in OpenAlex.

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

4 authors at 1 institution in 1 country.

Alex StrashnyNational Center for Health Statistics, Hyattsville, MD, USA. Electronic address: astrashny@cdc.gov.
Josephine AlfordNational Center for Health Statistics, Hyattsville, MD, USA.
Catherine RappoleNational Center for Health Statistics, Hyattsville, MD, USA.
Loredana SantoNational Center for Health Statistics, Hyattsville, MD, USA.
National Center for Health Statistics · US

Funding

Intramural CDC HHS CC999999
6 · The paper itself

Abstract

objectivesThis study aims to demonstrate the usefulness of the National Hospital Care Survey (NHCS) for studying rare diseases.

methodsNHCS contains data on millions of hospital patients from participating US hospitals, including diagnoses coded using 10th revision of International Classification of Diseases, Clinical Modification, making it likely that some of the patients have a diagnosed rare disease. The data for 2016 are unweighted and are not nationally representative. The Orphanet Nomenclature Pack lists 877 10th revision of the International Classification of Diseases codes that correspond to 536 rare diseases. Using Orphanet Nomenclature Pack, we identified NHCS patients with diagnosed rare diseases. We demonstrate the usefulness of NHCS for studying rare diseases by reporting, for each rare disease, the number of patients in NHCS with the disease, the average number of hospital encounters per patient, the average length of hospital stay, and the percent of patients who died either in-hospital or within 90 days after discharge.

resultsIn just 1 year of NHCS, we identified hundreds of rare diseases with ≥30 patients each (313 rare diseases in the inpatient setting and 273 in the emergency department setting). Although 10th revision of the International Classification of Diseases, Clinical Modification codes identify a small percent of known rare diseases, 12.9% of inpatient patients and 3.4% of emergency department patients had a diagnosed rare disease.

conclusionsNHCS is a rich source of administrative and electronic health record data on hospital patients with rare diseases, providing unique variables and observations on many patients. Although the percent of patients with each rare disease is low, a large percent of hospital patients has a rare disease.

Indexed as

public health data

Identifiers

PMID35654662
PMCPMC9708926
OpenAlexW4281655639

What OpenQuestion holds

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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.