Evidence map›Paper›PMID 37517509›Full record

ArticleJournal of biomedical informatics2023

Diagnostic rate estimation from Medicare records: Dependence on claim numbers and latent clinical features.

Beth Hogans, Bernadette Siaton, John Sorkin

Abstract read
In one paragraph

Article in Journal of biomedical informatics, 2023. 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
  2. Article
  3. Article
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

3 authors.

Beth HogansGeriatric Research Education and Clinical Center, VA Maryland Health Care System, Baltimore, MD, United States; Department of Neurology, Johns Hopkins School of Medicine, Meyer 6-113, Baltimore, MD 21205, United States. Electronic address: bb@jhmi.edu.
Bernadette SiatonGeriatric Research Education and Clinical Center, VA Maryland Health Care System, Baltimore, MD, United States; Division of Rheumatology and Clinical Immunology, Department of Medicine, University of Maryland School of Medicine, Baltimore, MD, United States.
John SorkinGeriatric Research Education and Clinical Center, VA Maryland Health Care System, Baltimore, MD, United States; Division of Geriatrics, Department of Medicine, University of Maryland School of Medicine, Baltimore, MD, United States.

Funding

University of Maryland Claude D. Pepper Older Americans Independence Center (UM-OAIC)P30AG028747 · NIA · UNIVERSITY OF MARYLAND BALTIMORE · PI ALICE S. RYAN · 2006 to 2026
$28.9M
Evidence-Based Multidimensional Pain Self-Management Planning: Personalized by and for Veterans via Web-Based ApplicationI21RX003169 · VA · BALTIMORE VA MEDICAL CENTER · PI HOGANS, BETH B · 2020 to 2022
–
NIA NIH HHS P30 AG028747RRD VA I21 RX003169RRD VA I21 RX004412
6 · The paper itself

Abstract

objectiveInternational Classification of Disorders version 10 (ICD-10) codes contribute heavily to healthcare data. Medicare claims and other data-sources are used to constitute study populations and appraise healthcare processes. How variability in claims-per-beneficiary impacts diagnostic determinations is inadequately understood. The objective of this study is so assess distributional properties of Medicare claims, and examine claim rates impact on code utilization and rate determinations.

methodsThe study population was Medicare beneficiaries aged 75-79.99 with claim(s) in the 5% standard analytical Carrier and Outpatient files, alive and participating in Medicare part B for all 12 months of 2017. Medicare beneficiary files were processed to create records containing all ICD-10 codes specified, key demographics, Part B and vital status, and the total claims for each 2017 beneficiary. Claim number cohorts were characterized.

resultsBeneficiaries meeting inclusion criteria totaled 221,625, these having 7,617,503 claims; 96.4% had between 1 and 120 claims. Median claims were 24 for males (females 25); modal claims were 11 (13). Average distinct codes per beneficiary increased with claims number. The assignment of ICD-10 codes, i.e., 'diagnostic rate estimates' (DRE), increased as claim numbers increased for most codes among those most commonly utilized. For some conditions, mostly benign and age-related, DREs plateaued as claim numbers increased. For other conditions, typically associated with clinical acuity, e.g., chest pain, DREs increased steeply with claims.

conclusionsOlder adult Medicare beneficiaries aged 75-80 exhibited varying claims activity over the course of a year. Although DRE dependence on claim numbers varies across ICD-10 codes, rate estimates are higher for beneficiaries with claim numbers above the median.

Indexed as

Delivery of Health CareMedicareAgedFemaleHumansInsurance Claim ReviewInternational Classification of DiseasesMaleRecordsUnited StatesBias (epidemiology)Electronic health recordsInternational classification of diseasesPrevalence (epidemiologic methods)Probability (epidemiologic methods)Stochastic processes (epidemiologic methods)

Identifiers

PMID37517509
PMCPMC10576984

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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.