Evidence map›Paper›PMID 34908248›Full record

ArticleNursing open2022

Barriers to efficient management of in-home care: A qualitative content analysis.

Parisa Sabetsarvestani, Fateme Mohammadi, Banafsheh Tehranineshat, Mostafa Bijani, Zhila Fereidouni

Abstract read
In one paragraph

Article in Nursing open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
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  3. Observational
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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

5 authors.

Parisa SabetsarvestaniMaster of Nursing, School of Nursing, Fasa University of Medical Sciences Fasa, Iran.ORCID 0000-0001-9681-5228
Fateme MohammadiChronic Diseases (Home Care) Research Center and Autism Spectrum Disorders Research Center, Department of Nursing, Hamadan University of Medical Sciences, Hamadan, Iran.ORCID 0000-0002-3475-4033
Banafsheh TehranineshatCommunity-based Psychiatric Care Research Center, Department of Nursing, School of Nursing and Midwifery, Shiraz University of Medical Sciences, Shiraz, Iran.ORCID 0000-0002-2066-5689
Mostafa BijaniSchool of Nursing, Fasa University of Medical Sciences, Fasa, Iran.ORCID 0000-0001-7990-662X
Zhila FereidouniSchool of Nursing, Fasa University of Medical Sciences, Fasa, Iran.ORCID 0000-0002-3345-0513

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimInefficient management is one of the major barriers to development of in-home care in the society. Accordingly, the present study aims to identify the barriers to efficient management of home care nursing using a qualitative approach.

designThe present study is a qualitative-descriptive work of research.

methodData were collected using semi-structured, in-depth, individual interviews with 19 nurses from November 2020 to May 2021. The collected data were analysed using Graneheim and Lundman's method.

resultsThe findings of the study were categorized into four main themes, namely lack of effective standards, ineffective interactions, inappropriate cultural/social context and professional issues, and 15 subthemes.

conclusionIn-home care nurses in Iran experience various problems in their practice. Creating an appropriate cultural/social context in Iranian societies, providing the necessary infrastructure, including insurance, providing comprehensive, clear guidelines for in-home care, encouraging teamwork and organizing workshops to promote effective interactions between the personnel and patients can improve the quality of in-home care nursing.

Indexed as

Home Care ServicesHumansIranQualitative Researchhome care servicehome health nursingnursing carequalitative research

Identifiers

PMID34908248
PMCPMC8859078

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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.