Evidence map›Paper›PMID 39169322›Full record

ArticleBMC nursing2024

Older people's experience and related factors while receiving home-based long-term care services: a qualitative study.

Arūnė Norvilaitė, Jamesetta A Newland, Aurelija Blaževičienė

Abstract read
In one paragraph

Article in BMC nursing, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

3 authors.

Arūnė NorvilaitėDepartment of Nursing, Lithuanian University of Health Sciences, Kaunas, Lithuania.
Jamesetta A NewlandRory Meyers College of Nursing, New York University, New York, USA.
Aurelija BlaževičienėDepartment of Nursing, Lithuanian University of Health Sciences, Kaunas, Lithuania. aurelija.blazeviciene@lsmu.lt.ORCID http://orcid.org/0000-0003-2130-5615

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHome-based care may cover anything from 24-hour support for people with a disability, to short-term post-discharge care, or to periodic assistance with simple tasks such as domestic aid for frail older people. The process can be complex and time-consuming and requires coordination between the individual, their family caregivers, and healthcare providers. Receiving care at home can also lead to social isolation as older people may have limited opportunities for social interaction. This study aimed to investigate older people's experience and related factors while receiving home-based long-term care services.

methodsA qualitative study was used. Face-to-face individual interviews were conducted with people who were receiving nursing care in their homes (N = 17) and analyzed through thematic analysis.

resultsAnalysis of interview data resulted in the identification of three major themes that captured participants' personal experiences regarding long-term care in the home: (1) Challenges faced by older people receiving long-term care at home; (2) The impact of home care services on people's social well-being; and (3) Older people's contradictory emotions regarding care delivery.

conclusionsFindings of the study revealed that the most important and challenging factors in home care from the perspective of older people were social well-being, religious needs, and physical needs. They considered the nurses who provided these services as family members and the most significant helpers in their daily activities. Participants expressed a desire for more services in the future.

Indexed as

Home-based careLong-term careNursingOlder people

Identifiers

PMID39169322
PMCPMC11340139

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LicenceCC BY-NC-ND
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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.