Evidence map›Paper›PMID 39669314›Full record

ArticlePatient preference and adherence2024

Evaluating Strategies for Enhancing Medication Adherence in the Kingdom of Saudi Arabia (KSA): A Cross-Sectional Study.

Farah Kais Alhomoud, Lama Wesam Alwohaibi, Kawthar Aljarrash, Faten Alhomoud, Khalid Alamer, Mohammed M Alsultan, Yousef Alqarni, Noor Alotaibi, Anwar Khalifah Alsaad, Afrah Dhafer Alqahtani and 1 more

Abstract read
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Article in Patient preference and adherence, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 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

11 authors.

Farah Kais AlhomoudDepartment of Pharmacy Practice, College of Clinical Pharmacy, Imam Abdulrahman Bin Faisal University, Dammam, Kingdom of Saudi Arabia.
Lama Wesam AlwohaibiDepartment of Pharmacy Practice, College of Clinical Pharmacy, Imam Abdulrahman Bin Faisal University, Dammam, Kingdom of Saudi Arabia.
Kawthar AljarrashDepartment of Pharmacy Practice, College of Clinical Pharmacy, Imam Abdulrahman Bin Faisal University, Dammam, Kingdom of Saudi Arabia.
Faten AlhomoudDepartment of Pharmacy Practice, College of Clinical Pharmacy, Imam Abdulrahman Bin Faisal University, Dammam, Kingdom of Saudi Arabia.
Khalid AlamerDepartment of Pharmacy Practice, College of Clinical Pharmacy, Imam Abdulrahman Bin Faisal University, Dammam, Kingdom of Saudi Arabia.
Mohammed M AlsultanDepartment of Pharmacy Practice, College of Clinical Pharmacy, Imam Abdulrahman Bin Faisal University, Dammam, Kingdom of Saudi Arabia.ORCID 0000-0002-9578-9790
Yousef AlqarniDepartment of Pharmacy Practice, College of Clinical Pharmacy, Imam Abdulrahman Bin Faisal University, Dammam, Kingdom of Saudi Arabia.ORCID 0000-0002-4195-3110
Noor AlotaibiDepartment of Pharmacy Practice, College of Clinical Pharmacy, Imam Abdulrahman Bin Faisal University, Dammam, Kingdom of Saudi Arabia.
Anwar Khalifah AlsaadDepartment of Pharmacy Practice, College of Clinical Pharmacy, Imam Abdulrahman Bin Faisal University, Dammam, Kingdom of Saudi Arabia.
Afrah Dhafer AlqahtaniDepartment of Pharmacy Practice, College of Clinical Pharmacy, Imam Abdulrahman Bin Faisal University, Dammam, Kingdom of Saudi Arabia.
Reem Saad AlkhnbashiThe Pharmacy Cardiology Department, King Fahad General Hospital, Jeddah, Kingdom of Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: This study aimed to assess medication adherence strategies among users in Saudi Arabia, explore the prevalence and effectiveness of behavioral, technical, and organizational tools, and identify key predictors of adherence related to demographic, health, and medication characteristics. Patients and Methods: A descriptive cross-sectional study was conducted among 250 Saudi residents aged ≥18 who regularly take prescription/non-prescription medications. The questionnaire was developed through a literature review, validated by academic pharmacists, and refined based on pilot testing feedback. A convenience sampling method, complemented by snowball sampling, was employed to recruit participants. Limitations like sampling bias and self-reported data emphasize the need for broader studies. Quantitative analysis was performed using IBM SPSS. Results: Participants were predominantly young adults (84%) and females (84%), with 54% reporting being healthy and 46% managing chronic conditions. Behavioral strategies, such as time-based reminders, were the most commonly used (40%), followed by technical tools (33%), including mobile applications. Employment status significantly influenced adherence, with employed individuals (adjusted OR: 3.274, p = 0.028) and those working >8 hours daily (adjusted OR: 9.838, p = 0.049) exhibiting higher adherence. Fieldwork negatively impacted adherence (adjusted OR: 0.052, p = 0.007). While other demographic and health factors showed no significant associations, trends suggested that complex medication regimens increased the likelihood of using adherence strategies. Conclusion: Behavioral strategies, such as time- and location-based reminders, and technical tools, like apps, effectively improved medication adherence. Healthcare providers should promote simple, cost-effective methods, such as pillboxes and mobile reminders, tailored to patient needs. Addressing adherence barriers for individuals with demanding/unexpected schedules or complex regimens through targeted interventions and awareness campaigns is essential. Future research should explore these strategies' scalability and long-term impact in diverse healthcare settings.

Indexed as

health behaviormedication adherencemedication therapy managementpatient compliance

Identifiers

PMID39669314
PMCPMC11636242

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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.