Evidence map›Paper›PMID 35928350›Full record

ArticleJournal of medicine and life2022

Self-efficacy among patients with hemodialysis during the COVID-19 pandemic.

Shereen Ahmed Qalawa, Sheren Ibrahim Eltahry, Azza Anwar Aly

Abstract read
In one paragraph

Article in Journal of medicine and life, 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. Trial
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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.

Shereen Ahmed QalawaDepartment of Medical Surgical Nursing, College of Nursing, Qassim University, Al-Qassim, Kingdom of Saudi Arabia.
Sheren Ibrahim EltahryDepartment of Medical Surgical Nursing, Faculty of Nursing, Port-Said University, Port-Said, Egypt.
Azza Anwar AlyDepartment of Medical Surgical Nursing, Faculty of Nursing, Damanhour University, Damanhour, Egypt.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Patients with hemodialysis face various problems with self-care behavior. Therefore, these patients need to control and manage adherence to enhance self-care, especially during the COVID-19 pandemic, which has particularly high morbidity in the elderly and co-morbid peoples. Self-efficacy was identified as a number of psychological factors that improve adherence and treatment outcomes among hemodialysis patients. This study aimed to investigate self-efficacy among patients with hemodialysis during the COVID-19 pandemic. A comparative descriptive research design was used to conduct the study. A convenience sample of 95 hemodialysis patients (male and females) was selected from Port-Said city, Egypt, and 115 hemodialysis patients (male and females) were selected from Saudi Arabia. Data collection included a structured interview with three parts assessing socio-demographic characteristics, anthropometric measurements, and self-efficacy. This study revealed a statistically significant difference between Egyptian and Saudi hemodialysis patients, mainly in the main score and levels of self-efficacy (p=0.001). There is a significant relationship between socio-demographic characteristics and chronic disease self-efficiency among Egyptian hemodialysis patients in terms of sex, age, marital status, work, and level of education.

Indexed as

COVID-19AgedChronic DiseaseFemaleHumansMalePandemicsRenal DialysisSelf Efficacycomparative studyDM – Diabetes MellitusESKD – End-stage kidney diseasesHD – HemodialysishemodialysisHRQOL – Health-related quality of lifeKSA – Kingdom of Saudi ArabiapatientsQOL – Quality of lifeself-efficacy

Identifiers

PMID35928350
PMCPMC9321481

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.