Evidence map›Paper›PMID 36946713›Full record

ArticleThe Journal of frailty & aging2023

Using a Claims-Based Frailty Index to Investigate Frailty, Survival, and Healthcare Expenditures among Older Adults Hospitalized for COVID-19 at an Academic Medical Center.

T Keeney, M Flom, J Ding, M Sy, K Leung, D H Kim, J Orav, C Vogeli, C S Ritchie

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Article in The Journal of frailty & aging, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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.

  1. Article
  2. Article
  3. The Effect of COVID-19 on Dual-Eligible Beneficiaries: A Scoping Review.Journal of the American Medical Directors Association · 2023
    Article
4 · The record

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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

9 authors.

T KeeneyTamra Keeney, DPT, PhD, Mongan Institute Center for Aging and Serious Illness, Massachusetts General Hospital, 100 Cambridge Street, Suite 1600, Boston MA, 02114,USA, Phone (617) 726-9392, Email: TKeeney1@mgh.harvard.edu.
M Flom
J Ding
M Sy
K Leung
D H Kim
J Orav
C Vogeli
C S Ritchie

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFrailty is associated with mortality in older adults hospitalized with COVID-19, yet few studies have quantified healthcare utilization and spending following COVID-19 hospitalization.

objectiveTo evaluate whether survival and follow-up healthcare utilization and expenditures varied as a function of claims-based frailty status for older adults hospitalized with COVID-19.

designRetrospective cohort study.

participants136 patients aged 65 and older enrolled in an Accountable Care Organization (ACO) risk contract at an academic medical center and hospitalized for COVID-19 between March 11, 2020 - June 3, 2020. MEASUREMENTS: We linked a COVID-19 Registry with administrative claims data to quantify a frailty index and its relationship to mortality, healthcare utilization, and expenditures over 6 months following hospital discharge. Kaplan Meier curves and Cox Proportional Hazards models were used to evaluate survival by frailty. Kruskal-Wallis tests were used to compare utilization. A generalized linear model with a gamma distribution was used to evaluate differences in monthly Medicare expenditures.

resultsMuch of the cohort was classified as moderate to severely frail (65.4%), 24.3% mildly frail, and 10.3% robust or pre-frail. Overall, 27.2% (n=37) of the cohort died (n=26 during hospitalization, n=11 after discharge) and survival did not significantly differ by frailty. Among survivors, inpatient hospitalizations during the 6-month follow-up period varied significantly by frailty (p=0.02). Mean cost over follow-up was $856.37 for the mild and $4914.16 for the moderate to severe frailty group, and monthly expenditures increased with higher frailty classification (p <.001).

conclusionsIn this cohort, claims-based frailty was not significantly associated with survival but was associated with follow-up hospitalizations and Medicare expenditures.

Indexed as

COVID-19FrailtyAcademic Medical CentersAgedDelivery of Health CareFrail ElderlyHealth ExpendituresHumansMedicareRetrospective StudiesUnited StatesDeficit accumulation frailtyhealthcare utilizationMedicare

Identifiers

PMID36946713
PMCPMC9948774

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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.