Evidence mapPaperPMID 39304796Full record

ArticleBMC geriatrics2024

The extent and burden of high multimorbidity on older adults in the US: a descriptive analysis of Medicare beneficiaries.

David A Dorr, Sheila Markwardt, Michelle Bobo, Heather G Allore, Anda Botoseneanu, Jason T Newsom, Corey Nagel, Ana R Quiñones

Abstract read
In one paragraph

Article in BMC geriatrics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 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

8 authors.

David A DorrDepartment of Medical Informatics & Clinical Epidemiology, Oregon Health & Science University, 3181 SW Sam Jackson Park Road, Mail Code: FM, Portland, OR, 97239, USA. dorrd@ohsu.edu.
Sheila MarkwardtOHSU-PSU School of Public Health, Oregon Health & Science University, Portland, OR, USA.
Michelle BoboDepartment of Medical Informatics & Clinical Epidemiology, Oregon Health & Science University, 3181 SW Sam Jackson Park Road, Mail Code: FM, Portland, OR, 97239, USA.
Heather G AlloreDepartments of Medicine and Biostatistics, Yale University, New Haven, CT, USA.
Anda BotoseneanuCollege of Education, Health, and Human Services, University of Michigan-Dearborn, Dearborn, MI, USA.
Jason T NewsomDepartment of Psychology, Portland State University, Portland, OR, USA.
Corey NagelCollege of Nursing, University of Arkansas for Medical Sciences, Little Rock, AR, USA.
Ana R QuiñonesOHSU-PSU School of Public Health, Oregon Health & Science University, Portland, OR, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe impact of multimorbidity (≥ 2 chronic diseases) on the well-being of older adults is substantial but variable. The burden of multimorbidity varies by the number and kinds of conditions, and timing of onset. The impact varies by age, race, ethnicity, socioeconomic status, and health indicators. Large scale longitudinal surveys linked to medical claims provide unique opportunities to characterize this variability.

methodsWe analyzed Medicare-linked Health and Retirement Study data for respondents 65 and older with 3 or more years of fee-for-service coverage (n = 17,199; 2000-2016). We applied standardized claims algorithms for operationalizing 21 chronic diseases. We compared multimorbidity levels, demographics, and outcomes at baseline and over time and escalation to high multimorbidity levels (≥ 5 conditions).

resultsAt baseline, 51.2% had no multimorbidity, 36.5% had multimorbidity, and 12.4% had high multimorbidity. Loss of function, cognitive decline, and higher healthcare utilization were up to ten times more prevalent in the high multimorbidity group. Greater rates of high multimorbidity were seen among non-Hispanic Black and Hispanic groups, those with lower wealth, younger birth cohorts, and adults with obesity. Rates of transition to high multimorbidity varied greatly and was highest among Hispanic and respondents with lower education.

conclusionsThe development and progression of multimorbidity in old age is influenced by many factors. Higher levels of multimorbidity are associated with sociodemographic characteristics, suggesting possible mitigation strategies.

Indexed as

MedicareMultimorbidityAgedAged, 80 and overChronic DiseaseCost of IllnessFemaleHumansLongitudinal StudiesMaleUnited StatesAgingEpidemiologyLongitudinal analysisMultimorbidity

Identifiers

PMID39304796
PMCPMC11414248

What Socratic 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 Socratic graph.