Evidence map›Paper›PMID 38433345›Full record

ReviewJournal of advanced nursing2024

Dementia friendly in the context of hospitalization: A concept analysis using the Walker & Avant Method.

Ellen Munsterman, Adriana Perez, Nancy Hodgson, Pamela Cacchione

Abstract readReview
In one paragraph

Review in Journal of advanced nursing, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. 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

4 authors.

Ellen MunstermanUniversity of Pennsylvania, Philadelphia, Pennsylvania, USA.ORCID https://orcid.org/0000-0002-2714-4472
Adriana PerezUniversity of Pennsylvania, Philadelphia, Pennsylvania, USA.
Nancy HodgsonUniversity of Pennsylvania, Philadelphia, Pennsylvania, USA.
Pamela CacchioneUniversity of Pennsylvania, Philadelphia, Pennsylvania, USA.

Funding

Individualized Care for At Risk Older AdultsT32NR009356 · NINR · UNIVERSITY OF PENNSYLVANIA · PI Lauren M Massimo, MARY D NAYLOR · 2007 to 2026
$7.8M
NINR NIH HHS T32 NR009356NINR NIH HHS T32NR009356
6 · The paper itself

Abstract

AIM(S): To evaluate the literature to inform and propose a conceptual definition for dementia friendly in the context of hospitalization.

methodsThe Walker & Avant method for concept analysis was utilized for this review. DATA SOURCES (INCLUDE SEARCH DATES): Initial search conducted June 2022. Repeated search conducted in February 2023. Databases for the literature search include Scopus, PubMed, CINAHL, PsycINFO, and AGELINE.

resultsFive attributes of the concept of dementia friendly in the context of hospitalization were identified including: staff knowledge/education, environmental modification, person-centred care, nursing care delivery and inclusion of family caregivers. Based on these attributes a conceptual definition is proposed.

conclusionA clarified definition for dementia friendly in the context of hospitalization will aid in understanding the concept, provide guidance for hospitals seeking to implement dementia-friendly interventions and benefit researchers aiming to study the impact of such programs. REPORTING

methodn/a. PATIENT OR PUBLIC CONTRIBUTION: No Patient or Public Contribution.

Indexed as

DementiaHospitalizationAgedAged, 80 and overCaregiversConcept FormationFemaleHumansMalePatient-Centered Careacute caredementiadementia friendlydementia‐friendly caredementia‐friendly hospitaldementia‐sensitivehospital careinpatient care

Identifiers

PMID38433345
PMCPMC11369123

What OpenQuestion holds

Textmetadata
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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.