Evidence map›Paper›PMID 32083698›Full record

ArticleJournal of gerontological nursing2020

Preference Consistency: Veteran and Non-Veteran Nursing Home Resident Self-Reported Preferences for Everyday Living.

Kimberly Curyto, Leah M Dockler, Kimberly S Van Haitsma

Open access · greenAbstract readComparative Study
In one paragraph

Article in Journal of gerontological nursing, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.8field-weighted citation impact, top 20% 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

1 citing paper in PubMed, 5 citations in OpenAlex.

  1. 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

3 authors.

Kimberly Curyto
Leah M Dockler
Kimberly S Van Haitsma

Funding

Assessing preferences for everyday living in the nursing home: reliability and coR21NR011334 · NINR · POLISHER RESEARCH INSTITUTE · PI VANHAITSMA, KIMBERLY S · 2011 to 2012
$448k
Sustaining STAR-VA: Partnered Evaluation of Veteran, Implementation and Facility Factors Contributing to Positive Sustained Outcomes to Inform Ongoing Program ImplementationI50HX002383 · VA · VA WESTERN NEW YORK HEALTHCARE SYSTEM · PI CURYTO, KIMBERLY J. · 2019 to 2020
–
HSRD VA I50 HX002383NINR NIH HHS R21 NR011334
6 · The paper itself

Abstract

Understanding patient preferences is core to person-centered care. The consistency of everyday preference reporting was assessed comparing responses of Veteran (VA) and non-VA nursing home (NH) residents on the Preferences for Everyday Living Inventory (PELI) at baseline and 5 to 7 days later. Non-VA NH residents demonstrated higher perfect agreement than VA residents (66% vs. 56%, respectively) and higher acceptable agreement (95% vs. 88%, respectively). Multiple regression analyses examined significant predictors of reliability using demographics, cognitive functional variables, and interviewer ratings. In the VA group, higher perfect agreement was associated with residents who were less likely to have hearing deficits, better cognition, and better interviewer ratings related to energy, attention, and comprehension. In the non-VA group, higher perfect agreement was associated with residents who were younger and more independent with walking. Overall, higher agreement was associated with being female, non-VA, and having better cognition. Implications for future research and clinical practice are highlighted. [Journal of Gerontological Nursing, 46(3), 15-25.].

Indexed as

Activities of Daily LivingAgedAged, 80 and overFemaleHumansMaleNursing HomesPatient-Centered CarePatient PreferenceReproducibility of ResultsSelf ReportUnited StatesVeterans

Identifiers

PMID32083698
PMCPMC7962852
OpenAlexW3007039001

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.