Evidence map›Paper›PMID 29983823›Full record

ReviewOpen access Macedonian journal of medical sciences2018

How to Improve Clinical Outcome of Epileptic Seizure Control Based on Medication Adherence? A Literature Review.

Iin Ernawati, Wardah Rahmatul Islamiyah, Sumarno

Abstract readReview
In one paragraph

Review in Open access Macedonian journal of medical sciences, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Article
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  5. Observational
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  7. Article
  8. Gaps in treatment of epileptic seizures in a Zambian rural area.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2024
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Observational
  16. Article
  17. 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

3 authors.

Iin ErnawatiFaculty of Pharmacy, Airlangga University, Gubeng, Surabaya, East Java, Indonesia.
Wardah Rahmatul IslamiyahDepartment of Neurology, Faculty of Medicine, Airlangga University, Surabaya, Indonesia.
SumarnoDepartment of Clinical Pharmacy, Faculty of Pharmacy, Airlangga University, Gubeng, Surabaya, East Java, Indonesia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Anti-Epileptic Drugs (AEDs) are the main therapy for epilepsy to prevent seizures. Non-adherence situation plays an important factor in the failure of seizure control. Such a condition may generate several impacts on clinical, social, and economic aspect. Several methods are used to measure adherence in epilepsy patients, including direct and indirect measurement. The direct measure involves measurement of drug levels in hair or body fluids such as blood and saliva. Whereas, indirect measure involves the non-biological tools, for example, a self-report measure, pill counts, appointment attendance, medication refills, and seizure frequency. Numerous factors may affect adherence in epilepsy patients, such as age, sex, and seizure aetiology, seizure sites, which are categorised as irreversible factors and hardly to be improved. However, there are factors that can be influenced to improve adherence such as patient knowledge, medication, cultural, health care professionals, and national health policies, which are related to treatment and education factor which is associated with behaviour to be likely adherence.

Indexed as

AdherenceAntiepileptic drugEpilepticSeizure

Identifiers

PMID29983823
PMCPMC6026415

What OpenQuestion holds

Textmetadata
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.