Evidence map›Paper›PMID 38773839›Full record

ArticleHealth services research2024

Association between claims-based setting of diagnosis and treatment initiation among Medicare patients with hepatitis C.

Hao Zhang, Yuhua Bao, Kayla Hutchings, Martin F Shapiro, Shashi N Kapadia

Abstract read
In one paragraph

Article in Health services research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 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

5 authors.

Hao ZhangDepartment of Health Policy and Organization, University of Alabama at Birmingham, Birmingham, Alabama, USA.ORCID 0000-0002-2379-1584
Yuhua BaoDepartment of Population Health Sciences, Weill Cornell Medicine, New York City, New York, USA.ORCID 0000-0002-3825-4327
Kayla HutchingsDepartment of Population Health Sciences, Weill Cornell Medicine, New York City, New York, USA.
Martin F ShapiroDivision of General Internal Medicine, Weill Cornell Medicine, New York City, New York, USA.
Shashi N KapadiaDepartment of Population Health Sciences, Weill Cornell Medicine, New York City, New York, USA.

Funding

Utilization of health services after engagement with opioid use disorder (OUD) treatment provider by individuals with and without post-traumatic stress disorderP30DA040500 · NIDA · WEILL MEDICAL COLL OF CORNELL UNIV · PI Bruce R Schackman · 2015 to 2026
$20.7M
Disparities in the Diffusion of Direct-Acting Antiviral Therapy for Hepatitis C among Baby Boomers: A Mixed-Methods StudyR01DK123205 · NIDDK · WEILL MEDICAL COLL OF CORNELL UNIV · PI SHAPIRO, MARTIN F. · 2020 to 2024
$3.1M
Integrated Care for Hepatitis C: Current Uptake & Impact on Future TreatmentK01DA048172 · NIDA · WEILL MEDICAL COLL OF CORNELL UNIV · PI KAPADIA, SHASHI · 2019 to 2023
$948k
NIDA NIH HHS K01 DA048172NIDA NIH HHS P30 DA040500NIDDK NIH HHS R01 DK123205
6 · The paper itself

Abstract

objectiveTo develop a claims-based algorithm to determine the setting of a disease diagnosis. DATA SOURCES AND STUDY

settingMedicare enrollment and claims data from 2014 to 2019. STUDY

designWe developed a claims-based algorithm using facility indicators, revenue center codes, and place of service codes to identify settings where HCV diagnosis first appeared. When the first appearance was in a laboratory, we attempted to associate HCV diagnoses with subsequent clinical visits. Face validity was assessed by examining association of claims-based diagnostic settings with treatment initiation. DATA COLLECTION/EXTRACTION

methodsPatients newly diagnosed with HCV and continuously enrolled in traditional Medicare Parts A, B, and D (12 months before and 6 months after index diagnosis) were included. PRINCIPAL

findingsAmong 104,454 patients aged 18-64 and 66,726 aged ≥65, 70.1% and 69%, respectively, were diagnosed in outpatient settings, and 20.2% and 22.7%, respectively in laboratory or unknown settings. Logistic regression revealed significantly lower odds of treatment initiation after diagnosis in emergency departments/urgent cares, hospitals, laboratories, or unclassified settings, than in outpatient visits.

conclusionsThe algorithm identified the setting of HCV diagnosis in most cases, and found significant associations with treatment initiation, suggesting an approach that can be adapted for future claims-based studies.

Indexed as

AlgorithmsHepatitis CInsurance Claim ReviewMedicareAdolescentAdultAgedFemaleHumansMaleMiddle AgedUnited StatesYoung Adultclaims‐based algorithmlinkage to caresetting of diagnosis

Identifiers

PMID38773839
PMCPMC11249812

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Registered trials

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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.