Evidence map›Paper›PMID 37576177›Full record

ArticleEthiopian journal of health sciences2023

Self-Management and Its Predictors in adult Patients with Epilepsy: A Cross-Sectional Study.

Keivan Babaei, Mahnaz Khatiban, Mojtaba Khazaei, Leili Tapak, Farshid Shamsaei

Abstract read
In one paragraph

Article in Ethiopian journal of health sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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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

2 citing papers in PubMed.

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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.

Keivan BabaeiPh.D Candidate, School of Nursing and Midwifery, Hamadan University of Medical Sciences, Hamadan, Iran.
Mahnaz KhatibanMother and Child Care Research Center, Department of Ethics Education in Medical Sciences, Department of Medical Surgical Nursing, School of Nursing and Midwifery, Hamadan University of Medical Sciences, Hamadan, Iran.
Mojtaba KhazaeiDepartment of Neurology, School of Medicine, Hamadan University of Medical Sciences, Hamadan, Iran.
Leili TapakDepartment of Biostatistics, School of Public Health and Modeling of Noncommunicable Diseases Research Center, Hamadan University of Medical Sciences, Hamadan, Iran.
Farshid ShamsaeiBehavioral Disorders and Substance Abuse Research Center, Department of Nursing, School of Nursing and Midwifery, Hamadan University of Medical Sciences, Hamadan, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Appropriate self-management (SM) is crucial in controlling epilepsy and improving self-efficacy, medication adherence and avoidance of seizure triggers in patients with epilepsy (PWE. The aim of this study was to evaluate SM and its predictors among adult PWE in Iran. Methods: This cross-sectional study was conducted in 2021. The participants were 335 adult PWEs that were selected from healthcare settings in Hamadan, Iran. Epilepsy Self-Management Scale (ESMS) was used to measure patients' self-management behaviors. Data were analyzed using the independent samples t-test, Pearson's and Spearman's correlation analyses and multiple linear regression analysis. Results: The mean score of SM was 114.37±11, indicating moderate level of SM, and the mean scores of SM in the medication management, seizure management, and safety management subscales were significantly more than the mean scores of the other subscales (P < 0.05). Age, place of residence, marital status, seizure type, seizure frequency, and epilepsy duration significantly predicted 53% of the variance of SM (adjusted R square = 0.532). Conclusion: PWEs have moderate SM and need SM-related education, particularly about lifestyle management and information management. Predictors of SM should be considered to boost SM practice.

Indexed as

EpilepsySelf-ManagementAdultCross-Sectional StudiesHumansSeizuresSurveys and QuestionnairesEpilepsyPredictorsSeizuresSelf-management

Identifiers

PMID37576177
PMCPMC10416336

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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.