Evidence map›Paper›PMID 26219053›Full record

ArticleJAMA2015

Mortality, Hospitalizations, and Expenditures for the Medicare Population Aged 65 Years or Older, 1999-2013.

Harlan M Krumholz, Sudhakar V Nuti, Nicholas S Downing, Sharon-Lise T Normand, Yun Wang

Erratum issuedAbstract read
In one paragraph

Article in JAMA, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 75 papers.

0numbers the graph read from it
0cells of the map it votes in
75citing 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

75 citing papers in PubMed.

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  12. Risk Factors for Post-Discharge Adverse Outcomes Following Hospitalization Among Older Adults Diagnosed With Elder Mistreatment.Journal of applied gerontology : the official journal of the Southern Gerontological Society · 2024
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15 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Harlan M KrumholzSection of Cardiovascular Medicine, Department of Internal Medicine, Yale University School of Medicine, New Haven, Connecticut2Robert Wood Johnson Foundation Clinical Scholars Program, Yale University School of Medicine, New Haven, Connecticut3Department.
Sudhakar V NutiSection of Cardiovascular Medicine, Department of Internal Medicine, Yale University School of Medicine, New Haven, Connecticut4Center for Outcomes Research and Evaluation, Yale-New Haven Hospital, New Haven, Connecticut.
Nicholas S DowningSection of Cardiovascular Medicine, Department of Internal Medicine, Yale University School of Medicine, New Haven, Connecticut4Center for Outcomes Research and Evaluation, Yale-New Haven Hospital, New Haven, Connecticut.
Sharon-Lise T NormandDepartment of Health Care Policy, Harvard Medical School, Boston, Massachusetts6Department of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, Massachusetts.
Yun WangCenter for Outcomes Research and Evaluation, Yale-New Haven Hospital, New Haven, Connecticut6Department of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, Massachusetts.

Funding

Center for Cardiovascular Outcomes Research at Yale UniversityU01HL105270 · NHLBI · YALE UNIVERSITY · PI CURTIS, JEPTHA PELHAM, KRUMHOLZ, HARLAN MARC · 2010 to 2013
$5.8M
NHLBI NIH HHS U01 HL105270NHLBI NIH HHS U01 HL105270-05
6 · The paper itself

Abstract

importanceIn a period of dynamic change in health care technology, delivery, and behaviors, tracking trends in health and health care can provide a perspective on what is being achieved.

objectiveTo comprehensively describe national trends in mortality, hospitalizations, and expenditures in the Medicare fee-for-service population between 1999 and 2013. DESIGN, SETTING, AND

participantsSerial cross-sectional analysis of Medicare beneficiaries aged 65 years or older between 1999 and 2013 using Medicare denominator and inpatient files. MAIN OUTCOMES AND MEASURES: For all Medicare beneficiaries, trends in all-cause mortality; for fee-for-service beneficiaries, trends in all-cause hospitalization and hospitalization-associated outcomes and expenditures. Geographic variation, stratified by key demographic groups, and changes in the intensity of care for fee-for-service beneficiaries in the last 1, 3, and 6 months of life were also assessed.

resultsThe sample consisted of 68,374,904 unique Medicare beneficiaries (fee-for-service and Medicare Advantage). All-cause mortality for all Medicare beneficiaries declined from 5.30% in 1999 to 4.45% in 2013 (difference, 0.85 percentage points; 95% CI, 0.83-0.87). Among fee-for-service beneficiaries (n = 60,056,069), the total number of hospitalizations per 100,000 person-years decreased from 35,274 to 26,930 (difference, 8344; 95% CI, 8315-8374). Mean inflation-adjusted inpatient expenditures per Medicare fee-for-service beneficiary declined from $3290 to $2801 (difference, $489; 95% CI, $487-$490). Among fee-for-service beneficiaries in the last 6 months of life, the number of hospitalizations decreased from 131.1 to 102.9 per 100 deaths (difference, 28.2; 95% CI, 27.9-28.4). The percentage of beneficiaries with 1 or more hospitalizations decreased from 70.5 to 56.8 per 100 deaths (difference, 13.7; 95% CI, 13.5-13.8), while the inflation-adjusted inpatient expenditure per death increased from $15,312 in 1999 to $17,423 in 2009 and then decreased to $13,388 in 2013. Findings were consistent across geographic and demographic groups. CONCLUSIONS AND RELEVANCE: Among Medicare fee-for-service beneficiaries aged 65 years or older, all-cause mortality rates, hospitalization rates, and expenditures per beneficiary decreased from 1999 to 2013. In the last 6 months of life, total hospitalizations and inpatient expenditures decreased in recent years.

Indexed as

AgedCause of DeathCross-Sectional StudiesFee-for-Service PlansHealth ExpendituresHospitalizationHumansInflation, EconomicMedicareMedicare Part CUnited States

Identifiers

PMID26219053
PMCPMC5459402

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.