Evidence map›Paper›PMID 37761682›Full record

ArticleHealthcare (Basel, Switzerland)2023

Service Climate and Nurses' Collaboration with Families of Older Patients in the Care Process during Hospitalization.

Hedva Vinarski-Peretz, Michal Mashiach-Eizenberg, Nasra Idilbi, Dafna Halperin

Abstract read
In one paragraph

Article in Healthcare (Basel, Switzerland), 2023. 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.

Hedva Vinarski-PeretzM.A. Program in Public Administration and Public Policy, Department of Political Science, Yezreel Valley Academic College, Yezreel Valley 1930600, Israel.ORCID 0000-0003-4062-6414
Michal Mashiach-EizenbergDepartment of Health Systems Management, Yezreel Valley Academic College, Yezreel Valley 1930600, Israel.
Nasra IdilbiDepartment of Nursing, Yezreel Valley Academic College, Yezreel Valley 1930600, Israel.
Dafna HalperinDepartment of Health Systems Management, Yezreel Valley Academic College, Yezreel Valley 1930600, Israel.ORCID 0000-0002-3448-9620

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study focuses on the concrete role of the presence of a ward's service climate in cultivating nurses' collaboration with family members. Accordingly, this study examined the moderating role of the service climate in the link between nurses' attitudes toward the family and their collaboration with family members in the care process. This is the second article of a series of studies we conducted among health staff in Israeli public hospitals. Relying on the patient- and family-centered care approach and using a cross-sectional study of 179 nurses from 13 internal medicine, surgical and geriatric wards at a large public hospital in Israel, we conducted a multiple regression analysis to test the contribution of all relationship variables to predicting nurses' collaborative behavior with the family in the care process during elderly hospitalization. The findings indicate that service climate had a conditional moderating effect on the relationship between nurses' perception of the family as a burden and their collaboration with the family in nursing care. Namely, in the absence of a targeted service climate, nurses form perceptions about the families as a burden, which in turn affects their distinct non-collaboration, and vice versa.

Indexed as

aging societyclimate servicenurses’ attitudesnurses’ collaborative behaviornursing carepatient- and family-centered care

Identifiers

PMID37761682
PMCPMC10531144

What OpenQuestion holds

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Registered trials

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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.