Evidence map›Paper›PMID 37134281›Full record

ArticleJournal of psychosocial nursing and mental health services2023

Adolescents' Perceptions of Functional Seizure Self-Management Strategies, Facilitators, and Barriers in the School Environment.

Andrea L Tanner, Jane R von Gaudecker, Janice M Buelow, Ukamaka M Oruche, Wendy R Miller

Open access · greenAbstract read
In one paragraph

Article in Journal of psychosocial nursing and mental health services, 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
1.1field-weighted citation impact, top 24% of its field
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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. 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

5 authors at 1 institution in 1 country.

Andrea L Tanner
Jane R von Gaudecker
Janice M Buelow
Ukamaka M Oruche
Wendy R Miller
University of Indianapolis · US

Funding

Advanced Training in Self-Management Interventions for Serious Chronic ConditionsT32NR018407 · NINR · INDIANA UNIVERSITY INDIANAPOLIS · PI KNOPF, AMELIA S, MILLER, WENDY RENEE · 2019 to 2023
$1.8M
NINR NIH HHS T32 NR018407
6 · The paper itself

Abstract

Adolescents with functional (psychogenic nonepileptic) seizures encounter many struggles within the school environment, including stress, bullying, stigmatization, and accusations of faking seizure events. Mental health nurses and school personnel are poised to support school-based self-management; unfortunately, to date, no evidence exists to detail effective school-based self-management strategies for adolescents with functional seizures. Therefore, in the current qualitative study, we examined adolescents' functional seizure self-management, perceived effectiveness, and facilitators and barriers using semi-structured interviews analyzed using content analysis. We interviewed 10 adolescent females aged 12 to 19 years. Themes of proactive (prior to seizure warning symptoms) and reactive (after seizure warning symptoms) self-management, involving protection, perseverance, and progress monitoring, emerged. Adolescents perceived proactive strategies as primarily effective, whereas reactive strategies were less effective. Adolescents identified school nurses and personnel, family, and peers as facilitators and barriers to self-management. Mental health nurses are positioned to provide care, co-create plans, and advocate for adolescents with functional seizures in collaboration with school nurses and personnel. [

Indexed as

Mental Health ServicesSelf-ManagementAdolescentFemaleHumansQualitative ResearchSchoolsSeizures

Identifiers

PMID37134281
PMCPMC10592598
OpenAlexW4367836732

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.