Evidence map›Paper›PMID 36522618›Full record

ArticleBMC geriatrics2022

Lifeworld perspectives of people with dementia: a meta-aggregation of qualitative studies.

Siren Eriksen, Knut Engedal, Ellen Karine Grov

Abstract read
In one paragraph

Article in BMC geriatrics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
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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

3 authors.

Siren EriksenThe Norwegian National Centre for Ageing and Health, Vestfold Hospital Trust, Tønsberg, Norway. siren.eriksen@aldringoghelse.no.ORCID 0000-0002-5541-0934
Knut EngedalThe Norwegian National Centre for Ageing and Health, Vestfold Hospital Trust, Tønsberg, Norway.ORCID 0000-0001-5304-2018
Ellen Karine GrovDepartment of Nursing and Health Promotion, Oslo Metropolitan University, Oslo, Norway.ORCID 0000-0002-5347-8812

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThis meta-aggregation aims to interpret and synthesize present knowledge on the lifeworld perspectives of people with dementia and develop a model for guidance in clinical practice.

methodThe data consist of four meta-syntheses describing different lifeworld perspectives in accordance with van Manen's existentials: lived relations, lived space, lived time and lived body. The meta-aggregation summarizes a range of views expressed by people with dementia in qualitative, interview-based studies, with the aim of generating a reliable model based on the studies' findings.

resultsIn total, 88 studies among 1,191 persons with dementia were included. Sixteen areas of focus were found, representing four perspectives: (a) lived relations, consisting of connectedness, independence, equality and competence; (b) lived space, consisting of belonging, meaningfulness, safety and security, and autonomy; (c) lived time, consisting of being rooted in the past, being in the present, viewing the future and being in process; and (d) lived body, consisting of being functional, trustworthy, adaptable and presentable. A model shaped as a tree trunk captures the lifeworld perspectives of people with dementia.

conclusionSixteen areas were revealed from this meta-aggregation and form the basis of a model. This model may be used as a guide for health care personnel to ensure the overall lifeworld-perspectives of people with dementia in care for the target group and conduct lifeworld-preserving care with a person-centred approach.

Indexed as

DementiaKnowledgeHumansQualitative ResearchBodyDementiaExperienceInterviewLifeworldRelationsSpaceTimeVan Manen

Identifiers

PMID36522618
PMCPMC9753383

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.