Evidence map›Paper›PMID 37046965›Full record

ArticleHealthcare (Basel, Switzerland)2023

Efforts of a Mobile Geriatric Team from a Next-of-Kin Perspective: A Phenomenographic Study.

Kjerstin Larsson, Veronika Wallroth, Agneta Schröder

Open access · goldAbstract 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
0.4field-weighted citation impact, top 35% of its field
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, 1 citations in OpenAlex.

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

3 authors at 3 institutions in 2 countries.

Kjerstin LarssonUniversity Health Care Research Center, Faculty of Medicine and Health, Örebro University, 702 81 Örebro, Sweden.
Veronika WallrothDivision of Social Work (SOCARB), Department of Culture and Society (IKOS), Linköping University, 581 83 Linköping, Sweden.ORCID 0000-0002-4276-2041
Agneta SchröderUniversity Health Care Research Center, Faculty of Medicine and Health, Örebro University, 702 81 Örebro, Sweden.ORCID 0000-0002-2157-8579
Linköping University · SENorwegian University of Science and Technology · NOÖrebro University · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Many older adults with complex illnesses are today cared for by their next of kin in their own homes and are often sent between different caregivers in public healthcare. Mobile Geriatric Teams (MGTs) are a healthcare initiative for older adults with extensive care needs living at home, coordinated between hospital, primary, and municipal care. The study aims to describe how next of kin experience care efforts from an MGT for their older adult family members. The study has a descriptive qualitative design and uses a phenomenographic approach. Fourteen next of kin to older adult family members who receive efforts from an MGT were interviewed. Two descriptive categories reflecting their experiences emerged: Professional care and No longer having the main responsibility. The study shows that the participants valued that the staff was very competent, that the physician made home visits and could make quick decisions, and that treatments were given at home. They feel that they receive support and experience security and that a burden is lifted from them. Our study shows that through the MGT, next of kin become involved in the care and are relieved of the burden of responsibility of caring for their older family member.

Indexed as

mobile geriatric team (MGT)next of kinolder adultsphenomenography

Identifiers

PMID37046965
PMCPMC10094527
OpenAlexW4362634084

What OpenQuestion holds

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LicenceCC BY
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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.