Evidence map›Paper›PMID 28541589›Full record

ArticleResearch in gerontological nursing2017

Developing the Supporting Choice Observational Tool (SCOT): A Formative Assessment Tool to Assist Nursing Home Staff in Realizing Resident Choice.

Jennifer A Palmer, Victoria A Parker, James F Burgess, Dan Berlowitz, A Lynn Snow, Susan L Mitchell, Christine W Hartmann

Abstract readEvaluation Study
In one paragraph

Article in Research in gerontological nursing, 2017. 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
–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

1 citing paper in PubMed.

  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

7 authors.

Jennifer A Palmer
Victoria A Parker
James F Burgess
Dan Berlowitz
A Lynn Snow
Susan L Mitchell
Christine W Hartmann

Funding

Translational Researchin Aging Trainnig ProgramT32AG023480 · NIA · HEBREW REHABILITATION CENTER FOR AGED · PI LIPSITZ, LEWIS · 2004 to 2024
$7.6M
Midcareer Mentoring Award for Patient-Oriented Research in AgingK24AG033640 · NIA · HEBREW REHABILITATION CENTER FOR AGED · PI MITCHELL, SUSAN L · 2009 to 2018
$1.8M
Two CLCs Implementing The Green House Model: A Mixed-Methods Baseline AssessmentI01HX000258 · VA · EDITH NOURSE ROGERS MEMORIAL VETERANS HOSPITAL · PI HARTMANN, CHRISTINE W · 2011 to 2011
–
HSRD VA I01 HX000258NIA NIH HHS K24 AG033640NIA NIH HHS T32 AG023480
6 · The paper itself

Abstract

Quality of care in nursing homes has begun to address the importance of resident choice in daily life, yet there are no published tools to teach nursing home staff how to offer such choice. In the current study, a formative assessment tool was developed that can provide staff with detailed and concrete feedback on how to realize resident choice. The tool was created and refined through 22 hours of ethnographic observation in two Veterans Health Administration Community Living Centers (CLCs), 22 hours of developmental testing in two CLCs, review by a modified Delphi panel, and use of an algorithm to assess its logical structure. The resulting Supporting Choice Observational Tool (SCOT) documents how choice is or is not offered and is or is not enabled within a singular staff-resident interaction. SCOT findings could be used in clinical teaching, quality improvement, or research efforts intent on enhancing nursing home resident quality of life. [Res Gerontol Nurs. 2017; 10(3):129-138.].

Indexed as

Nurse-Patient RelationsPatient SatisfactionActivities of Daily LivingAgedAged, 80 and overFemaleGeriatric AssessmentHomes for the AgedHumansMaleNursing HomesPatient ParticipationSurveys and Questionnaires

Identifiers

PMID28541589
PMCPMC5767100

What OpenQuestion holds

Textmetadata
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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.