Evidence map›Paper›PMID 34933272›Full record

ArticleHealthcare (Amsterdam, Netherlands)2022

Change in self-reported health: A signal for early intervention in a medicare population.

Dana Drzayich Antol, Angela Hagan, Hannah Nguyen, Yong Li, Gilbert S Haugh, Michael Radmacher, Kurt J Greenlund, Craig W Thomas, Andrew Renda, Karen Hacker and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Healthcare (Amsterdam, Netherlands), 2022. 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

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

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

11 authors.

Dana Drzayich AntolHumana Healthcare Research, Louisville, KY, USA. Electronic address: ddrzayichjankus@humana.com.
Angela HaganOffice of Health Affairs and Advocacy, Humana Inc., Louisville, KY, USA.
Hannah NguyenDigital Health & Analytics, Humana Inc., Louisville, KY, USA.
Yong LiHumana Healthcare Research, Louisville, KY, USA.
Gilbert S HaughDigital Health & Analytics, Humana Inc., Louisville, KY, USA.
Michael RadmacherTrend Analytics & Forecasting, Humana Inc., Louisville, KY, USA.
Kurt J GreenlundDivision of Population Health, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, GA, USA. Electronic address: KGreenlund@cdc.gov.
Craig W ThomasDivision of Population Health, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, GA, USA. Electronic address: cht2@cdc.gov.
Andrew RendaOffice of Health Affairs and Advocacy, Humana Inc., Louisville, KY, USA.
Karen HackerDivision of Population Health, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, GA, USA; National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, GA, USA. Electronic address: pju3@cdc.gov.
William H ShrankOffice of Health Affairs and Advocacy, Humana Inc., Louisville, KY, USA.

Funding

Intramural CDC HHS CC999999
6 · The paper itself

Abstract

backgroundHealth plans and risk-bearing provider organizations seek information sources to inform proactive interventions for patients at risk of adverse health events. Interventions should take into account the strong relationship between social context and health. This retrospective cohort study of a Medicare Advantage population examined whether a change in self-reported health-related quality of life (HRQOL) signals a subsequent change in healthcare needs.

methodsA retrospective longitudinal analysis of administrative claims data was conducted for participants in a Medicare Advantage plan with prescription drug coverage (MAPD) who responded to 2 administrations of the Centers for Disease Control and Prevention 4-item Healthy Days survey within 6-18 months during 2015-2018. Changes in HRQOL, as measured by the Healthy Days instrument, were compared with changes in utilization and costs, which were considered to be a reflection of change in healthcare needs.

resultsA total of 48,841 individuals met inclusion criteria. Declining HRQOL was followed by increases in utilization and costs. An adjusted analysis showed that every additional unhealthy day reported one year after baseline was accompanied by an $8 increase in monthly healthcare costs in the subsequent six months for the average patient.

conclusionsDeclining HRQOL signaled subsequent increases in healthcare needs and utilization. IMPLICATIONS: Findings suggest that HRQOL assessments in general, and the Healthy Days instrument in particular, could serve as a leading indicator of the need for interventions designed to mitigate poor health outcomes and rising healthcare costs. LEVEL OF EVIDENCE: III.

Indexed as

Medicare Part CQuality of LifeAgedHealth Care CostsHumansRetrospective StudiesSelf ReportUnited StatesHealthcare utilizationHealth-related quality of lifeHealthy daysMedicare advantage

Identifiers

PMID34933272
PMCPMC11304208

What OpenQuestion holds

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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.