Evidence map›Paper›PMID 31784190›Full record

Observational studyJournal of the American Medical Directors Association2020

Optimizing Quality of Life With Cognitive Impairment: A Study of End-of-Life Care in Assisted Living.

Laura Arneson, Alexis A Bender, Maggi N Robert, Molly M Perkins

Abstract readObservational Study
In one paragraph

Observational study in Journal of the American Medical Directors Association, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

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

  1. Pooled it
  2. Article
  3. Turning It Over to God: African American Assisted Living Residents' End-of-Life Preferences and Advance Care Planning.The journals of gerontology. Series B, Psychological sciences and social sciences · 2023
    Review
  4. Article
  5. Rates of health services use among residents of retirement homes in Ontario: a population-based cohort study.CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne · 2022
    Article
  6. Ethics of Health Information Sharing and Social Relationships at End of Life in Assisted Living.Journal of applied gerontology : the official journal of the Southern Gerontological Society · 2022
    Article
  7. Assisted Living Administrators' Approaches to Advance Care Planning.Journal of applied gerontology : the official journal of the Southern Gerontological Society · 2022
    Article
  8. Article
  9. 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

4 authors.

Laura ArnesonDivision of General Medicine & Geriatrics, Emory University School of Medicine, Atlanta, GA, USA.
Alexis A BenderDivision of General Medicine & Geriatrics, Emory University School of Medicine, Atlanta, GA, USA.
Maggi N RobertDivision of General Medicine & Geriatrics, Emory University School of Medicine, Atlanta, GA, USA.
Molly M PerkinsDivision of General Medicine & Geriatrics, Emory University School of Medicine, Atlanta, GA, USA; Birmingham/Atlanta VA Geriatric Research, Education, and Clinical Center (GRECC), Atlanta, GA, USA. Electronic address: molly.m.perkins@emory.edu.

Funding

End-of-Life in Assisted Living: Links between Structure, Process, and OutcomesR01AG047408 · NIA · EMORY UNIVERSITY · PI PERKINS, MOLLY M · 2015 to 2019
$1.9M
NIA NIH HHS R01 AG047408
6 · The paper itself

Abstract

objectivesAssisted living (AL) is an expanding site of end-of-life (EOL) care in the United States. Understanding determinants of quality of life (QoL) for AL residents near EOL is vital to optimize care for this growing population, most of whom have some degree of cognitive impairment (CI). This analysis aimed to identify factors associated with QoL in a diverse sample of AL residents with CI approaching EOL.

designObservational cross-section design. SETTING AND

participantsData are from a 5-year study funded by the National Institute on Aging examining EOL care of residents in 7 diverse AL communities in metropolitan Atlanta (n = 67).

methodsCI was assessed with the Montreal Cognitive Assessment (scores ≤ 26) and QoL was determined with the self-reported QoL in Alzheimer's disease survey adapted for use in AL. Psychological distress was assessed using the Patient Health Questionnaire-4 and fatigue was assessed using the 13-item Functional Assessment of Chronic Illness Therapy Fatigue Scale. Initial descriptive analyses were followed by backward stepwise regression analyses to select a best-fitting model of QoL.

resultsThe final model predicted 27% of the variance in QoL. CI was not significantly correlated with QoL and was not retained in the final model. Pain and functional limitation also did not meet inclusion criteria (P ≤ .10) and were sequentially removed, producing a final model of QoL in terms of psychological distress (β = -0.28, P = .032), fatigue (β = -0.26, P = .048), and race (β = 0.21, P = .063). CONCLUSIONS AND IMPLICATIONS: The lack of a significant correlation between degree of CI and self-reported QoL suggests that AL residents have the potential to experience high QoL, despite CI. Interventions to reduce psychological distress and manage fatigue could be implemented during EOL care to attempt to improve QoL for AL residents with CI. The correlation between race and QoL warrants investigation into possible racial disparities in AL and EOL care.

Indexed as

Cognitive DysfunctionHospice CareTerminal CareHumansQuality of LifeSurveys and Questionnairesassisted livingdementiaend-of-life careQuality of life

Identifiers

PMID31784190
PMCPMC7186142

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.