Evidence map›Paper›PMID 37963031›Full record

ArticleMedical care2023

Medicare Data Linkages for Conducting Patient-Centered Outcomes Research on Economic Outcomes.

Derek S Brown, Mithuna Srinivasan, Courtney Zott, Kala Wilson, Prashila Dullabh, Scott R Smith

Abstract read
In one paragraph

Article in Medical care, 2023. 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
–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

0 citing papers in PubMed.

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

6 authors.

Derek S BrownBrown School, Washington University in St. Louis, St. Louis, MO.
Mithuna SrinivasanHealth Care Evaluation, NORC at the University of Chicago, Bethesda, MD.
Courtney ZottHealth Sciences, NORC at the University of Chicago, Chicago, IL.
Kala WilsonHealth Sciences, NORC at the University of Chicago, Bethesda, MD.
Prashila DullabhHealth Sciences, NORC at the University of Chicago, Bethesda, MD.
Scott R SmithDivision of Healthcare Quality and Outcomes, Office of Health Policy, Office of the Assistant Secretary for Planning and Evaluation, US Department of Health and Human Services, Washington, DC.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMedicare patients and other stakeholders often make health care decisions that have economic consequences. Research on economic variables that patients have identified as important is referred to as patient-centered outcomes research (PCOR) and can generate evidence that informs decision-making. Medicare fee-for-service (FFS) claims are widely used for research and are a potentially valuable resource for studying some economic variables, particularly when linked to other datasets.

objectiveThe aim of this study was to identify and assess the characteristics of federally funded administrative and survey data sources that can be linked to Medicare claims for conducting PCOR on some economic outcomes. RESEARCH

designA targeted internet search was conducted to identify a list of relevant data sources. A technical panel and key informant interviews were used for guidance and feedback.

resultsWe identified 12 survey and 6 administrative sources of linked data for Medicare FFS beneficiaries. A majority provide longitudinal data and are updated annually. All linked sources provide some data on social determinants of health and health equity-related factors. Fifteen sources capture direct medical costs (beyond Medicare FFS payments); 5 capture indirect costs (eg, lost wages from absenteeism), and 7 capture direct nonmedical costs (eg, transportation).

conclusionsLinking Medicare FFS claims data to other federally funded data sources can facilitate research on some economic outcomes for PCOR. However, few sources capture direct nonmedical or indirect costs. Expanding linkages to include additional data sources, and reducing barriers to existing data sources, remain important objectives for increasing high-quality, patient-centered economic research.

Indexed as

Fee-for-Service PlansMedicareAgedCosts and Cost AnalysisHumansInformation Storage and RetrievalUnited States

Identifiers

PMID37963031
PMCPMC10635329

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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.