Evidence map›Paper›PMID 40042337›Full record

ArticleJournal of public health management and practice : JPHMP

Use and Characteristics of Clinical Coding for Post-COVID Conditions in a Retrospective US Cohort.

Nicole D Ford, Sarah Baca, Alexandra F Dalton, Emilia H Koumans, Julia Raykin, Priti R Patel, Sharon Saydah

Abstract read
In one paragraph

Article in Journal of public health management and practice : JPHMP. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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0cells of the map it votes in
2citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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

2 citing papers in PubMed.

  1. Article
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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

7 authors.

Nicole D FordAuthor Affiliations: Coronavirus and Other Respiratory Viruses Division, National Center for Immunization and Respiratory Diseases, CDC, Atlanta, Georgia (Drs Ford, Dalton, Koumans, and Saydah); GAP Solutions, Herndon, Virginia (Ms Baca); Inform and Disseminate Division, Office of Public Health Data, Surveillance, and Technology, CDC, Atlanta, Georgia (Ms Baca and Dr. Raykin); and Office of the Director, National Center for Immunization and Respiratory Diseases, CDC, Atlanta, Georgia (Dr Patel).
Sarah Baca
Alexandra F Dalton
Emilia H Koumans
Julia Raykin
Priti R Patel
Sharon Saydah

Funding

Intramural CDC HHS CC999999
6 · The paper itself

Abstract

contextLittle is known about when and how the ICD-10-CM diagnosis code for Post-COVID Conditions (PCC; U09.9) is being used to document PCC.

objectivesTo examine the use and characteristics of clinical coding for PCC.

designA retrospective cohort.

settingTransaction-level medical encounters, laboratory testing results, pharmacy claims, and medical claims for inpatient and outpatient care from the HealthVerity database.

participants382 400 US adults and children with private health insurance, Medicare, and Medicaid who had U09.9 code documented during October 1, 2021-June 30, 2023. OUTCOME MEASURES: Count of first use of the U09.9 code, (a) overall, over time, and proportion by provider type; (b) prevalence of PCC-associated incident conditions co-documented with U09.9; (c) number of documented SARS-CoV-2 infections preceding U09.9; (d) timing between infection and U09.9; (e) encounters during the 6 months following first use of U09.9.

resultsOverall, 0.6% of 65 556 068 patients had a PCC diagnosis code (64.6% female; 6 in 10 had ≥1 preexisting conditions). The highest count of new U09.9 codes occurred during Quarter 1 and Quarter 3 of 2022 and was documented by a variety of provider specialties. The most prevalent co-documented PCC-associated incident conditions were respiratory (13.4%) and malaise and fatigue (7.8%). Only 62% of patients had SARS-CoV-2 infection documented preceding U09.9; median time to PCC documentation was 17.0 days (interquartile range [IQR] = 5.0, 61.0). Patients with ≥1 encounters during which PCC was documented in the 6 months following their index encounter (n = 109 794) had, on average, 25.5 additional encounters (median = 14 [IQR = 7, 29]).

conclusionsOur study describes the sociodemographic characteristics, complex clinical manifestations, and high healthcare use of patients following a PCC diagnosis. These findings may inform efforts to identify and treat PCC, inform healthcare planning, and support efforts to educate clinicians about the definition of PCC and accurate application of the code.

Indexed as

Clinical CodingCOVID-19AdultAgedChildCohort StudiesFemaleHumansInternational Classification of DiseasesMaleMiddle AgedRetrospective StudiesSARS-CoV-2United StatesCOVID-19long COVIDmedical recordspost-COVID conditionsSARS-coV-2

Identifiers

PMID40042337
PMCPMC13575891

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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.