Evidence map›Paper›PMID 41364456›Full record

ArticleThe Canadian journal of nursing research = Revue canadienne de recherche en sciences infirmieres2026

Breaking Through the Glass Ceiling-Having

Jovina Concepcion Bachynski, Lenora Duhn, Idevania G Costa, Pilar Camargo-Plazas

Abstract read
In one paragraph

Article in The Canadian journal of nursing research = Revue canadienne de recherche en sciences infirmieres, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Jovina Concepcion BachynskiSchool of Nursing, Queen's University, Kingston, Canada.ORCID 0000-0002-2354-1809
Lenora DuhnSchool of Nursing, Queen's University, Kingston, Canada.ORCID 0000-0002-0401-953X
Idevania G CostaSchool of Nursing, Queen's University, Kingston, Canada.ORCID 0000-0001-8024-2074
Pilar Camargo-PlazasSchool of Nursing, Queen's University, Kingston, Canada.ORCID 0000-0002-8349-7723

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BackgroundDialysis as treatment for kidney failure can result in significant physical and psychosocial symptom burden. Kidney supportive care (KSC), encompassing advance care planning (ACP), is an approach to care involving early identification and treatment of symptoms that improves the quality of life of people receiving dialysis. However, ACP is underused and often initiated late in the illness. The delay or lack of engagement in KSC by nephrology nurses until near the end of life may result in people receiving care that is discordant with their values, wishes, and preferences.PurposeThe purpose of our study was to construct a substantive theory about the process of engagement in KSC by nurses in Canadian dialysis settings.MethodsUsing Charmaz's constructivist grounded theory method, 23 registered nurses working in hemodialysis and peritoneal dialysis were recruited to participate in two intensive interviews. Concurrent data collection and analysis were undertaken, with constant comparative analysis of codes until the attainment of theoretical saturation, as well as memo-writing and researcher reflexivity, to aid the emergence of categories and concepts.FindingsIn the substantive theory "Breaking Through the Glass Ceiling of Engagement-Having

Indexed as

Advance Care PlanningKidney Failure, ChronicNephrology NursingRenal DialysisAdultCanadaFemaleGrounded TheoryHumansMaleMiddle Agedhemodialysiskidney supportive carenursesperitoneal dialysis

Identifiers

PMID41364456
PMCPMC12989626

What OpenQuestion holds

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LicenceCC BY-NC
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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.