Evidence map›Paper›PMID 27500888›Full record

ArticleHealth services research2017

Implications of Variation in the Relationships between Beneficiary Characteristics and Medicare Advantage CAHPS Measures.

Laura A Hatfield, Alan M Zaslavsky

Abstract read
In one paragraph

Article in Health services research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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

2 authors.

Laura A HatfieldDepartment of Health Care Policy, Harvard Medical School, Boston, MA.
Alan M ZaslavskyDepartment of Health Care Policy, Harvard Medical School, Boston, MA.ORCID 0000-0003-1072-6043

Funding

Consumer Assessment of Healthcare Providers and Systems CAHPS VU18HS016978 · AHRQ · YALE UNIVERSITY · PI CLEARY, PAUL D · 2007 to 2021
$20.3M
AHRQ HHS U18 HS016978AHRQ HHS U18HS016978-05
6 · The paper itself

Abstract

objectiveTo study how differences in quality score adjustments across Medicare Advantage contracts change comparisons for individuals and contracts. DATA SOURCES: Responses to the Medicare Advantage implementation of the Consumer Assessments of Healthcare Providers and Systems (CAHPS) survey from 2010 to 2014. STUDY

designWe fit national-and state-level hierarchical models to predict CAHPS scores for individuals and contracts, adjusted for self-reported education, general health, and mental health. We allow the effects of these variables on quality measures to vary across contracts with a hierarchical model. DATA COLLECTION/EXTRACTION

methodsWe perform secondary data analysis. PRINCIPAL

findingsFor average consumers, standard adjustment is sufficient to represent variation in contract quality standardized to a common population. For people with characteristics far from average, personalized reporting using their characteristics and contract-specific coefficients can substantially change the expected quality measures across contracts. This effect is stronger when comparing among contracts within a state than across all contracts.

conclusionsCustomized reporting may help consumers select the best Medicare Advantage plan, but policies should protect against unintended consequences.

Indexed as

Health StatusMedicare Part CQuality of Health CareSelf ReportAgedHumansModels, StatisticalUnited StatesCase mix adjustmentMedicare Advantagepersonalized reportingquality measurement

Identifiers

PMID27500888
PMCPMC5517680

What OpenQuestion holds

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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.