Evidence map›Paper›PMID 37315405›Full record

ArticleEpilepsy & behavior : E&B2023

Association of antiseizure medication adherence with illness perceptions in adults with epilepsy.

Hyunmi Choi, John B Wetmore, Itzel A Camarillo, Sylwia Misiewicz, Karolynn Siegel, Wendy K Chung, Cheng-Shiun Leu, Jo C Phelan, Lawrence H Yang, Ruth Ottman

Open access · greenAbstract read
In one paragraph

Article in Epilepsy & behavior : E&B, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
1.8field-weighted citation impact, top 16% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.

  1. Pooled it
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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

10 authors at 3 institutions in 1 country.

Hyunmi ChoiDepartment of Neurology, Columbia University Vagelos College of Physicians and Surgeons, New York, NY, USA. Electronic address: hc323@cumc.columbia.edu.
John B WetmoreGertrude H. Sergievsky Center, Columbia University Irving Medical Center, New York, NY, USA; Department of Epidemiology, Columbia University Mailman School of Public Health, New York, NY, USA. Electronic address: jbw2167@cumc.columbia.edu.
Itzel A CamarilloGertrude H. Sergievsky Center, Columbia University Irving Medical Center, New York, NY, USA. Electronic address: iac2112@cumc.columbia.edu.
Sylwia MisiewiczGertrude H. Sergievsky Center, Columbia University Irving Medical Center, New York, NY, USA. Electronic address: sn2315@cumc.columbia.edu.
Karolynn SiegelDepartment of Sociomedical Sciences, Columbia University Mailman School of Public Health, New York, NY, USA. Electronic address: ks420@cumc.columbia.edu.
Wendy K ChungDepartments of Pediatrics and Medicine, Columbia University Vagelos College of Physicians and Surgeons, New York, NY, USA. Electronic address: wkc15@cumc.columbia.edu.
Cheng-Shiun LeuDepartment of Biostatistics, Columbia University Mailman School of Public Health, New York, NY, USA. Electronic address: cl94@cumc.columbia.edu.
Jo C PhelanDepartment of Sociomedical Sciences, Columbia University Mailman School of Public Health, New York, NY, USA. Electronic address: jcp13@cumc.columbia.edu.
Lawrence H YangDepartment of Epidemiology, Columbia University Mailman School of Public Health, New York, NY, USA; School of Global Public Health, New York University, New York, NY, USA. Electronic address: ly1067@nyu.edu.
Ruth OttmanDepartment of Neurology, Columbia University Vagelos College of Physicians and Surgeons, New York, NY, USA; Gertrude H. Sergievsky Center, Columbia University Irving Medical Center, New York, NY, USA; Department of Epidemiology, Columbia University Mailman School of Public Health, New York, NY, USA; Division of Translational Epidemiology and Mental Health Equity, New York State Psychiatric Institute, New York, NY, USA. Electronic address: ro6@columbia.edu.
Columbia University Irving Medical Center · USColumbia University · USNew York University · US

Funding

Clinical and Translational Science AwardUL1TR001873 · NCATS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI REILLY, MUREDACH P · 2016 to 2025
$99.0M
Center for Research on Ethical, Legal & Social Implications of Psychiatric, Neurologic & Behavioral GeneticsRM1HG007257 · NHGRI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI APPELBAUM, PAUL STUART · 2018 to 2021
$4.4M
Psychosocial Impact of Genetics in EpilepsyR01NS104076 · NINDS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI OTTMAN, RUTH · 2018 to 2022
$3.2M
NCATS NIH HHS UL1 TR001873NHGRI NIH HHS RM1 HG007257NINDS NIH HHS R01 NS104076
6 · The paper itself

Abstract

objectiveWe assessed the relationship of epilepsy illness perceptions to antiseizure medication (ASM) adherence.

methodsSurveys were completed by 644 adult patients with epilepsy of unknown cause. We used the Morisky Medication Adherence Scale-8 (MMAS-8) to define "high" adherence (score = 8) and "low-medium" adherence (score < 8). We evaluated epilepsy illness perceptions using seven items from the Brief Illness Perception Questionnaire (BIPQ), each scored from 0-10, measuring participants' views of the overall effect of epilepsy on their lives, how long it would last, how much control they had over their epilepsy, the effectiveness of their treatment, level of concern about epilepsy, level of understanding of epilepsy, and emotional impact of epilepsy. We investigated the association of each BIPQ item with medication adherence using logistic regression models that controlled for potential confounders (age, race/ethnicity, income, and time since the last seizure).

resultsOne hundred forty-nine patients (23%) gave responses indicating high adherence. In the adjusted models, for each 1-unit increase in participants' BIPQ item scores, the odds of high adherence increased by 17% for understanding of their epilepsy (OR = 1.17, 95% CI 1.07-1.27, p < 0.001), decreased by 11% for overall life impact of epilepsy (OR = 0.89, 95% CI 0.82-0.97, p = 0.01) and decreased by 6% for emotional impact of epilepsy (OR = 0.94, 95% CI 0.86-0.99, p = 0.03). No other illness perception was associated with high adherence. Depression, anxiety, and stigma mediated the inverse relationships of high adherence to the overall life impact of epilepsy and the emotional impact of epilepsy. These measures did not mediate the relationship of high adherence to the perceived understanding of epilepsy.

conclusionThese results indicate that a greater perceived understanding of epilepsy is independently associated with high ASM adherence. Programs aimed at improving patients' understanding of their epilepsy may help improve medication adherence.

Indexed as

EpilepsyAdultAnxietyEmotionsHumansMedication AdherenceSurveys and QuestionnairesAdherenceAntiseizure medication, epidemiologyIllness perception

Identifiers

PMID37315405
PMCPMC10527556
OpenAlexW4380368837

What OpenQuestion holds

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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.