Evidence map›Paper›PMID 27418598›Full record

Observational studyThe American journal of hospice & palliative care2017

Are Trends in Hospitalization Prior to Hospice Use Associated With Hospice Episode Characteristics?

Brystana G Kaufman, Carla A Sueta, Cathy Chen, B Gwen Windham, Sally C Stearns

Abstract readObservational Study
In one paragraph

Observational study in The American journal of hospice & palliative care, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Enhancing the Infrastructure of the Atherosclerosis Risk in Communities (ARIC) Study for Cancer Epidemiology Research: ARIC Cancer.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2018
    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

5 authors.

Brystana G Kaufman1 Department of Health Policy and Management, The University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Carla A Sueta2 Division of Cardiology, The University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Cathy Chen3 University of Mississippi Medical Center, Jackson, MS, USA.
B Gwen Windham3 University of Mississippi Medical Center, Jackson, MS, USA.
Sally C Stearns1 Department of Health Policy and Management, The University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.

Funding

NHLBI NIH HHS HHSN268201100005CNHLBI NIH HHS HHSN268201100005GNHLBI NIH HHS HHSN268201100005INHLBI NIH HHS HHSN268201100006CNHLBI NIH HHS HHSN268201100007CNHLBI NIH HHS HHSN268201100007INHLBI NIH HHS HHSN268201100009CNHLBI NIH HHS HHSN268201100009INHLBI NIH HHS HHSN268201100010CNHLBI NIH HHS HHSN268201100011CNHLBI NIH HHS HHSN268201100011INHLBI NIH HHS HHSN268201100012C
6 · The paper itself

Abstract

This study expands current knowledge of factors associated with initiation of hospice care by examining prehospice patterns of medical care leading to Medicare hospice use and the relationships to hospice episode characteristics. Data from the Atherosclerosis Risk in Communities (ARIC) study cohort offer the ability to control for measures that are not available in Medicare claims data, including marital status, nursing home residency, and education. For 1248 ARIC participants who used hospice (2006-2012), participant level trends in the number of hospital days per 30-day period over the year prior to hospice initiation were generated using a fixed-effects model. Logistic regression was used to estimate the associations between increasing hospital use over the year prior to hospice enrollment with key patient characteristics (diagnosis, age, and comorbidity) and episode characteristics (short hospice stay ending in death, long hospice stay, and live discharge). Participants with severe comorbidity (measured as a Charlson comorbidity index score greater than 5) had higher odds of increasing hospital use prior to hospice (odds ratio [OR] = 3.28, confidence interval [CI] = 2.25-4.78). Increasing hospital use did not vary by diagnosis but was associated with reduced odds of a live hospice discharge (OR = 0.55, CI = 0.34-0.88) or long stay in hospice (OR = 0.44, CI = 0.24-0.79) and increased odds of a short stay in hospice (OR = 1.92, CI = 1.36-2.71). The evidence that care patterns prior to hospice use are associated with hospice outcomes could facilitate development of interventions to improve timely hospice referral.

Indexed as

AgedAged, 80 and overComorbidityFemaleHealth Knowledge, Attitudes, PracticeHospice CareHospitalizationHospital MortalityHumansInsurance Claim ReviewLength of StayMaleMedicareRetrospective StudiesSocioeconomic FactorsUnited Statesend of lifehospicehospice episode lengthhospice live dischargeMedicarepalliative care

Identifiers

PMID27418598
PMCPMC6176480

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.