Evidence map›Paper›PMID 37461796›Full record

ArticleCureus2023

Medication Adherence Status and Its Association With Quality of Life Among Individuals With Neurological Conditions in Saudi Arabia.

Omar Babateen, Sarah S Aldharman, Ghazi Mogharbel, Ahmad S Badawi, Sultan A Aljohani, Manar M Alsharif, Marwah S Al-Jallal, Jamil A Samkari

Open access · diamondAbstract read
In one paragraph

Article in Cureus, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 42% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Review
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

8 authors at 4 institutions in 1 country.

Omar BabateenDepartment of Physiology, Umm Al-Qura University, Makkah, SAU.
Sarah S AldharmanCollege of Medicine, King Saud Bin Abdulaziz University for Health Sciences, Riyadh, SAU.
Ghazi MogharbelCollege of Medicine, Taibah University, Medina, SAU.
Ahmad S BadawiCollege of Medicine, Taibah University, Medina, SAU.
Sultan A AljohaniCollege of Medicine, Taibah University, Medina, SAU.
Manar M AlsharifCollege of Medicine, Umm Al-Qura University, Makkah, SAU.
Marwah S Al-JallalCollege of Medicine, King Khalid University, Abha, SAU.
Jamil A SamkariDepartment of Family and Community Medicine, King Abdul Aziz University, Jeddah, SAU.
King Khalid University · SAKing Abdul Aziz University Hospital · SAKing Saud bin Abdulaziz University for Health Sciences · SATaibah University · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionChronic disorders commonly require long-term therapies. Medication non-adherence can cause major morbidity and mortality in chronic illness individuals, as well as increase the financial burden on the healthcare system. It is considered that patients who adhere to their treatment may improve their quality of life (QoL). There is a scarcity of updated comprehensive data on medication adherence among Saudi patients with neurological disorders. Therefore, this study aimed to assess the medication adherence status among individuals with neurological conditions and its association with QoL.

methodA cross-sectional questionnaire-based study was conducted. The study included subjects individuals who have neurological conditions aged at least 18 from different regions of Saudi Arabia. The questionnaire measured medication adherence by using the 10-item version of the Medication Adherence Report Scale (MARS-10, ©Professor Rob Horne). The QoL was measured by employing validated Euro Quality of Life 5-dimension scale (EQ-5D).

resultsA total of 370 participants were included. Respondents aged 18 to 35 years represented 62.4% of the sample. More than half of the participants were females (65.7%). The most frequently reported chronic conditions were migraine (29.2%), epilepsy (20.8%), and multiple sclerosis (20.5%). The reliability of the EQ-5D questionnaire was acceptable (Cronbach's alpha = 0.764). In general, more than half of the participants indicated that had problems due to pain/discomfort (60.3%) and anxiety/depression (62.2%). The most common pattern of non-adherence was taking the medication only when a patient needed it followed by avoiding taking the medication as possible. Non-adherence to medications was less prevalent among participants with epilepsy (68.8%) and multiple sclerosis (65.8%). On the other hand, medication adherence was higher among respondents with migraine compared to participants without the condition (86.1% vs 73.7%, p = 0.009). A significantly lower proportion of participants who had some or extreme problems with self-care were non-adherent to medications compared to those who had no problems (68.1% vs 80.3%, respectively, p = 0.016). Results of the regression analysis showed that participants with epilepsy and multiple sclerosis were less likely to be non-adherence to medications. Furthermore, respondents with moderate and severe problems in self-care were less likely to be non-adherent.

conclusionIt was found that more than half of the participants had problems regarding their QoL due to pain/discomfort and anxiety/depression. The most prevalent pattern of non-adherence was taking the medication only when needed. Participants with epilepsy and multiple sclerosis were less likely to be non-adherent to medications. Furthermore, respondents with moderate and severe problems in self-care were less likely to be non-adherent. We recommend serial studies on the issue should be conducted to gather more evidence regarding this topic.

Indexed as

adherencemedicationneurological conditionsquality of lifesaudi arabia

Identifiers

PMID37461796
PMCPMC10350288
OpenAlexW4380986869

What OpenQuestion holds

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LicenceCC BY
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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.