Evidence map›Paper›PMID 36271835›Full record

ArticleHealth services research2023

Effects of Medicare Advantage on preventive care use and health behavior.

Sungchul Park

Open access · greenAbstract read
In one paragraph

Article in Health services research, 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
0.8field-weighted citation impact, top 23% of its field
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, 3 citations in OpenAlex.

  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

1 author at 1 institution in 1 country.

Sungchul ParkDepartment of Health Policy and Management, College of Health Science, Korea University, Seoul, Republic of Korea.ORCID 0000-0002-7546-9685
Korea University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo examine the effects of Medicare Advantage (MA) enrollment on preventive care use and health behavior. DATA SOURCES: The Medicare Current Beneficiary Survey, the Area Health Resources File, the Geographic Variation Public Use File, and the Centers for Medicare and Medicaid Services annual risk and ratebook files for 2012-2016. STUDY

designOutcomes included 11 measures of preventive care use and six measures of health behavior. My primary independent variable was MA enrollment. For each outcome, I first conducted linear regression analysis while adjusting for individual-level and county-level characteristics. Then, I conducted the following alternative analyses to account for differences in observed and/or unobserved characteristics between MA and traditional Medicare (TM) enrollees: propensity score (PS) matching analysis and instrumental variable (IV) analysis. DATA COLLECTION/EXTRACTION

methodsI extracted 9399 MA enrollees and 15,543 TM enrollees.

findingsLinear regression and PS matching analyses showed that MA enrollment was statistically significantly associated with higher likelihood of having blood pressure measurement, cholesterol measurement, and influenza vaccine, lower likelihood of receiving an HbA1C test, and higher likelihood of currently smoking. However, the magnitude of the associations was small. There were no statistically significant associations in other measures. IV analyses also found no or limited evidence that MA enrollment led to statistically significant changes in preventive care use and health behavior. Specifically, MA enrollment led to statistically significant improvements in the likelihood of doing any physical activities (1.29 [95% CI: 0.51-2.07]) or doing muscle-strengthening activities (0.72 [95% CI: 0.03-1.41]). No statistically significant changes were observed in other measures.

conclusionsMA plans may not necessarily increase the use of preventive services and improve health behaviors. As improvements in preventive services and health behavior may have the potential to achieve better outcomes while lowering costs, policy makers should consider developing targeted interventions for MA to achieve those improvements.

Indexed as

Medicare Part CAgedCosts and Cost AnalysisHealth BehaviorHumansUnited Stateshealth behaviorinstrumental variablemanaged careMedicareprevention

Identifiers

PMID36271835
PMCPMC10154162
OpenAlexW4307093245

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

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.