Evidence map›Paper›PMID 38267886›Full record

ArticleBMC geriatrics2024

Place of care in the last three years of life for Medicare beneficiaries.

Haiqun Lin, Irina B Grafova, Anum Zafar, Soko Setoguchi, Jason Roy, Fred A Kobylarz, Ethan A Halm, Olga F Jarrín

Open access · goldAbstract 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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
2.5field-weighted citation impact, top 12% 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
  2. Article
  3. 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

8 authors at 1 institution in 1 country.

Haiqun LinSchool of Nursing, Rutgers The State University of New Jersey, Newark, NJ, USA.
Irina B GrafovaEdward J. Bloustein School of Planning & Public Policy, Rutgers The State University of New Jersey, New Brunswick, NJ, USA.
Anum ZafarInstitute for Health, Health Care Policy & Aging Research, Rutgers The State University of New Jersey, New Brunswick, NJ, USA.
Soko SetoguchiSchool of Public Health, Rutgers The State University of New Jersey, Piscataway, NJ, USA.
Jason RoySchool of Public Health, Rutgers The State University of New Jersey, Piscataway, NJ, USA.
Fred A KobylarzRobert Wood Johnson School of Medicine, Rutgers The State University of New Jersey, New Brunswick, NJ, USA.
Ethan A HalmInstitute for Health, Health Care Policy & Aging Research, Rutgers The State University of New Jersey, New Brunswick, NJ, USA.
Olga F JarrínSchool of Nursing, Rutgers The State University of New Jersey, Newark, NJ, USA. olga.jarrin@rutgers.edu.
Rutgers, The State University of New Jersey · US

Funding

Translational Research Support CoreP30ES005022 · NIEHS · UNIV OF MED/DENT NJ-R W JOHNSON MED SCH · PI PANOS G. GEORGOPOULOS · 1988 to 2026
$47.4M
Advanced Development and Utilization of Assembled Aging Trajectory Files from Multiple DatasetsR33AG068931 · NIA · RUTGERS BIOMEDICAL/HEALTH SCIENCES-RBHS · PI JARRÍN MONTANER, OLGA F., LIN, HAIQUN · 2021 to 2025
$3.8M
R01 Upstream Approaches to Improve Late Life Care for People Living with DementiaR01AG066139 · NIA · RUTGERS BIOMEDICAL AND HEALTH SCIENCES · PI JARRÍN MONTANER, OLGA F. · 2020 to 2023
$2.3M
NIA NIH HHS R01 AG066139NIA NIH HHS R33 AG068931NIEHS NIH HHS P30 ES005022
6 · The paper itself

Abstract

backgroundMost older adults prefer aging in place; however, patients with advanced illness often need institutional care. Understanding place of care trajectory patterns may inform patient-centered care planning and health policy decisions. The purpose of this study was to characterize place of care trajectories during the last three years of life.

methodsLinked administrative, claims, and assessment data were analyzed for a 10% random sample cohort of US Medicare beneficiaries who died in 2018, aged fifty or older, and continuously enrolled in Medicare during their last five years of life. A group-based trajectory modeling approach was used to classify beneficiaries based on the proportion of days of institutional care (hospital inpatient or skilled nursing facility) and skilled home care (home health care and home hospice) used in each quarter of the last three years of life. Associations between group membership and sociodemographic and clinical predictors were evaluated.

resultsThe analytic cohort included 199,828 Medicare beneficiaries. Nine place of care trajectory groups were identified, which were categorized into three clusters: home, skilled home care, and institutional care. Over half (59%) of the beneficiaries were in the home cluster, spending their last three years mostly at home, with skilled home care and institutional care use concentrated in the final quarter of life. One-quarter (27%) of beneficiaries were in the skilled home care cluster, with heavy use of skilled home health care and home hospice; the remaining 14% were in the institutional cluster, with heavy use of nursing home and inpatient care. Factors associated with both the skilled home care and institutional care clusters were female sex, Black race, a diagnosis of dementia, and Medicaid insurance. Extended use of skilled home care was more prevalent in southern states, and extended institutional care was more prevalent in midwestern states.

conclusionsThis study identified distinct patterns of place of care trajectories that varied in the timing and duration of institutional and skilled home care use during the last three years of life. Clinical, socioregional, and health policy factors influenced where patients received care. Our findings can help to inform personal and societal care planning.

Indexed as

Independent LivingMedicareAgedFemaleHumansMaleMedicaidNursing HomesSkilled Nursing FacilitiesUnited StatesGroup-based trajectoryMedicare beneficiariesPlace of careTrajectory group

Identifiers

PMID38267886
PMCPMC10809551
OpenAlexW4391188067

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.