Evidence map›Paper›PMID 36641855›Full record

ArticleGeriatric nursing (New York, N.Y.)

A qualitative study exploring nursing home care environments where nurse practitioners work.

Gregory L Alexander, Supakorn Kueakomoldej, Christina Congdon, Lusine Poghosyan

Abstract read
In one paragraph

Article in Geriatric nursing (New York, N.Y.). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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.

Gregory L AlexanderSchool of Nursing, Columbia University, New York, NY, USA. Electronic address: ga2545@cumc.columbia.edu.
Supakorn KueakomoldejDepartment of Education, Center for Education in Health Sciences, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA.
Christina CongdonSchool of Nursing, Columbia University, New York, NY, USA.
Lusine PoghosyanCenter for Healthcare Delivery Research & Innovations, The Elise D. Fish Professor of Nursing and Professor of Health Policy and Management, Columbia School of Nursing, New York, NY, USA.

Funding

Systems Science and Comparative and Cost-Effectiveness Research Training for Nurse Scientists (S2CER2)T32NR014205 · NINR · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Lusine Poghosyan, Jingjing Shang · 2013 to 2026
$4.2M
ACL HHS 90ARPO0001NINR NIH HHS T32 NR014205
6 · The paper itself

Abstract

Research is needed to support the growing nurse practitioner workforce to assure higher quality care for older adults in nursing homes. Nursing homes with optimal care environments that support nurse practitioner roles, increased visibility, independence, and relationships are better positioned to support care of older adults. This study reports findings of thirteen qualitative interviews with nurse practitioners to explore facets of nursing home care environments and adapt a tool to measure care environments. Our team incorporated deductive and inductive coding to identify three major emerging themes impacting care environments: 1) nurse practitioner practice in nursing homes, 2) overall goals of practice, 3) workplace challenges. Themes were derived from seven overarching categories and 33 codes describing aspects of NH care environment important to nurse practitioners. Some of the most highly important survey items measured nurse practitioner and physician relationships. Less important items measured relationships between nurse practitioners and administration.

Indexed as

Nurse PractitionersPhysiciansAgedHumansNursing HomesQualitative ResearchQuality of Health CareNurse practitionersNursing home

Identifiers

PMID36641855
PMCPMC10065911

What OpenQuestion holds

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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.