Evidence map›Paper›PMID 37064308›Full record

ArticleHealth science reports2023

Reproducibility of the medical cost estimation from the Medicare Current Beneficiary Survey: Comparing claims and survey.

Chiahung Chou, Cassidi C McDaniel, Tim C Lai, Courtney P McDonald, Devan Rockwell, Feng-Hua Loh

Abstract read
In one paragraph

Article in Health science reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. 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

6 authors.

Chiahung ChouDepartment of Health Outcomes Research and Policy Harrison College of Pharmacy, Auburn University Auburn Alabama USA.ORCID https://orcid.org/0000-0002-0786-8182
Cassidi C McDanielDepartment of Health Outcomes Research and Policy Harrison College of Pharmacy, Auburn University Auburn Alabama USA.ORCID 0000-0001-6053-036X
Tim C LaiDepartment of Health Outcomes Research and Policy Harrison College of Pharmacy, Auburn University Auburn Alabama USA.ORCID 0000-0002-5113-491X
Courtney P McDonaldSpecialty Pharmacy John B Amos Cancer Center Columbus Georgia USA.
Devan RockwellFamily Medicine-Clinical Services University of South Alabama Mobile Alabama USA.
Feng-Hua LohDepartment of Social, Behavioral, and Administrative Sciences Touro College of Pharmacy New York City New York USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The Medicare Current Beneficiary Survey (MCBS) limited-access data provides the unique opportunity to utilize administrative claims and adjusted survey data to investigate trends in utilization and medical expenditure across time. The adjusted survey data is a synthesized, matched version of the original survey data and claims. Researchers may choose adjusted survey data or original claims for cost evaluations according to their research purpose. However, limited research has examined methodological issues when estimating medical cost using different MCBS data sources. Objective: The study objective was to examine the reproducibility of individual-level medical cost using both MCBS data sources: adjusted survey and claims data. Methods: This serial cross-sectional study design analyzed 2006-2012 MCBS data. The sample included noninstitutionalized older Medicare beneficiaries (≥65 years old), with a cancer diagnosis and annually enrolled in Medicare Parts A, B, and D. The population was stratified by diabetes diagnosis. The primary outcome was annual medical cost. We investigated the discrepancies of medical cost estimated from the adjusted survey and original claims data. The agreement between cost estimates from the two sources in each year was determined using the Wilcoxon signed-rank test. Results: A total of 4918 eligible Medicare beneficiaries were included in this study, and 26% of beneficiaries also had diabetes ( Conclusions: Based on discrepant cost estimates across data sources, researchers using MCBS to estimate costs should be cautious when using claims or adjusted survey data alone.

Indexed as

cancerdiabetesmedical costMedicare

Identifiers

PMID37064308
PMCPMC10102707

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