Evidence map›Paper›PMID 40979340›Full record

ArticleJournal of education and health promotion2025

Effective factors in nursing care for cardiovascular patients with opioid dependence disorder: A qualitative study.

Fatemeh Moghaddam, Narges Arsalani, Kian Norouzi Tabrizi, Masoud Fallahi-Khoshknab, Sadat Seyed Bagher Maddah

Abstract read
In one paragraph

Article in Journal of education and health promotion, 2025. 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
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0citing papers in PubMed
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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

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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.

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

5 authors.

Fatemeh MoghaddamDepartment of Nursing, University of Social Welfare and Rehabilitation Sciences, Tehran, Iran.
Narges ArsalaniIranian Research Center on Aging, Nursing Department, University of Social Welfare and Rehabilitation Sciences, Tehran, Iran.
Kian Norouzi TabriziIranian Research Center on Aging, Nursing Department, University of Social Welfare and Rehabilitation Sciences, Tehran, Iran.
Masoud Fallahi-KhoshknabDepartment of Nursing, University of Social Welfare and Rehabilitation Sciences, Tehran, Iran.
Sadat Seyed Bagher MaddahDepartment of Nursing, University of Social Welfare and Rehabilitation Sciences, Tehran, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCaring is a central concept in nursing and is especially critical for patients with comorbidities, such as the coexistence of cardiovascular diseases and substance use disorders. However, limited information is available regarding the effective factors of the care provided to these patients. The study aimed to investigate the effective contextual factors in the care of hospitalized patients with cardiovascular disease and opium dependence disorder. MATERIALS AND

methodsThis qualitative descriptive study was conducted in 2023. The participants were 13 nurses who were purposefully selected from the cardiac and internal cardiac intensive care units of hospitals affiliated with the Ministry of Health in Iran. Sixteen semi-structured interviews were conducted to collect data, and conventional content analysis proposed by Graneheim and Lundman (2004) was used to analyze the data.

resultIn the analysis, microconditions encompassed factors like nurses' attitudes, insufficient knowledge, and patient behavioral issues, while macroconditions involved an unsafe workplace, an atmosphere of distrust, difficulty managing pain, and false cultural beliefs.

conclusionDelivering healthcare services by utilizing scientific evidence for decision-making and actions in healthcare is one of the general policies of the health system. Recognizing these elements can aid managers, researchers, and clinical nurses in enhancing nursing care through adjustments to these influential factors.

Indexed as

Cardiovascular diseasecaringqualitative studysubstance-related disorders

Identifiers

PMID40979340
PMCPMC12448562

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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.