Evidence map›Paper›PMID 31195078›Full record

ArticleJournal of pain and symptom management2019

Integration of Palliative Care and Infection Management at the End of Life in U.S. Nursing Homes.

Patricia W Stone, Mansi Agarwal, Feifei Ye, Mark Sorbero, Susan C Miller, Andrew W Dick

Open access · greenAbstract read
In one paragraph

Article in Journal of pain and symptom management, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
5.4field-weighted citation impact, top 5% 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

16 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
  2. Observational
  3. Article
  4. Safe Hugs in Palliative Care.Turkish journal of anaesthesiology and reanimation · 2022
    Article
  5. Article
  6. Nursing Home Antibiotic Stewardship Policy and Antibiotics Use: 2013-2017.Journal of the American Medical Directors Association · 2022
    Article
  7. Article
  8. Article
  9. Opportunities for Nursing Science to Advance Patient Care in the Time of COVID-19: A Palliative Care Perspective.Journal of nursing scholarship : an official publication of Sigma Theta Tau International Honor Society of Nursing · 2020
    Article
  10. COVID-19 Preparedness in Nursing Homes in the Midst of the Pandemic.Journal of the American Geriatrics Society · 2020
    Article
  11. Article
  12. Infection preventionist staffing in nursing homes.American journal of infection control · 2020
    Article
  13. Article
  14. Article
  15. Changes in US Nursing Home Infection Prevention and Control Programs From 2014 to 2018.Journal of the American Medical Directors Association · 2020
    Article
  16. 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

6 authors at 4 institutions in 1 country.

Patricia W StoneColumbia University School of Nursing, New York, New York, USA.
Mansi AgarwalColumbia University School of Nursing, New York, New York, USA. Electronic address: ma3204@cumc.columbia.edu.
Feifei YeRAND Corporation, Pittsburgh, Pennsylvania, USA.
Mark SorberoRAND Corporation, Pittsburgh, Pennsylvania, USA.
Susan C MillerBrown University School of Public Health, Providence, Rhode Island, USA.
Andrew W DickRAND Corporation, Boston, Massachusetts, USA.
RAND Corporation · USBrown University · USColumbia University · USColumbia University Irving Medical Center · US

Funding

Study of Infection Management and Palliative Care at End-of-Life (SIMP-EL)R01NR013687 · NINR · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI STONE, PATRICIA W. · 2012 to 2020
$5.8M
NINR NIH HHS R01 NR013687
6 · The paper itself

Abstract

contextInfections in nursing home (NH) residents are often terminal illnesses. Integration of palliative care (PC) and infection management (IM) is a new concept that can help reduce burdensome treatments and improve quality of care for NH residents at the end of life.

objectivesTo develop measures of integration, describe the integration in U.S. NHs, and examine predictors of integration.

methodsA nationally representative sample of NHs was surveyed. An instrument to measure integration was tested using factor analyses. Descriptive analyses of each integration factor were conducted, construct validity was examined using correlations between the integration factors and validated measures of PC and IM, and multivariable linear regression models were developed to identify NH characteristics associated with integration.

resultsA total of 892 NH surveys were returned (49% response rate), 859 with complete data. Three integration factors were identified: patient involvement in care planning (Involvement), formalized advance care planning (Advance Care Planning), and routine practices of integration (Routine Practices). The highest level of integration in NHs was reported for Involvement (mean (μ) = 73.2, standard error [SE] = 1.57), with lower rates for Advance Care Planning and Routine Practices (respectively, μ = 34.1, SE = 1.05; μ = 31.4, SE = 1.48). Each integration measure was weakly, positively associated with the PC and IM measures (r ≤ 0.25, P ≤ 0.01). There were few associations between NH characteristics and integration.

conclusionIntegration is a distinct concept that is associated with, but different from, PC and IM. Results serve as a baseline assessment of integration in NHs. Continued refinement of the integration instrument is recommended, as is studying if higher integration leads to better resident outcomes.

Indexed as

Hospice and Palliative Care NursingNursing HomesAdvance Care PlanningHumansInfection ControlPalliative CarePatient Participationend-of-lifeInfection Managementintegrationnursing homespalliative care

Identifiers

PMID31195078
PMCPMC6708746
OpenAlexW2950265839

What OpenQuestion holds

Textmetadata
LicenceTDM
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.