Evidence map›Paper›PMID 25378929›Full record

ArticleNeuropsychiatric disease and treatment2014

Factors associated with adherence to medication among depressed patients from Saudi Arabia: a cross-sectional study.

Khalaf Al Jumah, Mohamed Azmi Hassali, Dalal Al Qhatani, Kamal El Tahir

Abstract read
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Article in Neuropsychiatric disease and treatment, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

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0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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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

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3 · Its place in the literature

Who cites it

12 citing papers in PubMed.

  1. Trial
  2. Review
  3. Article
  4. Article
  5. Community pharmacist's preparedness to provide patient-centred care in Saudi Arabia.Saudi pharmaceutical journal : SPJ : the official publication of the Saudi Pharmaceutical Society · 2023
    Article
  6. Review
  7. Article
  8. Factors Associated with Antidepressant Medication Non-adherenceTurkish journal of pharmaceutical sciences · 2021
    Article
  9. Article
  10. Article
  11. Article
  12. Article
4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Khalaf Al JumahDepartment of Pharmacy, Al Amal Psychiatric Hospital, Riyadh, Saudi Arabia.
Mohamed Azmi HassaliSchool of Pharmaceutical Sciences, Universiti Sains Malaysia, Penang, Malaysia.
Dalal Al QhataniDepartment of Pharmacy, Al Amal Psychiatric Hospital, Riyadh, Saudi Arabia.
Kamal El TahirCollege of Pharmacy, King Saud University, Riyadh, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSeveral studies have investigated the factors associated with adherence to antidepressants, with inconsistent conclusions. However, no similar study has investigated this issue among patients diagnosed with major depressive disorder in Saudi Arabia. The aim of this study is to explore patients' adherence to antidepressant medications, and the factors associated with adherence.

methodsA non-experimental cross-sectional design was used to measure adherence to antidepressants among major depressive disorder patients, and the factors associated with adherence. The patients were recruited from the outpatient clinic at the Al-Amal Complex for Mental Health in Riyadh, Saudi Arabia, between August 2013 and January 2014. Eligible participants met with one of the research coordinators for assessment of their adherence. Adherence was investigated indirectly by use of the Morisky Medication Adherence Scale, and patients' beliefs were assessed through the Beliefs about Medicine Questionnaire. Information about the severity of their depression, demographics, and other study variables were collected.

resultsA total of 403 patients met the inclusion criteria and participated in the study. Of those, 203 (50.37%) were females, while the remaining 200 (49.6%) were males. There was an average age of 39 years (standard deviation, ±11 years). Half of the patients (52.9%) reported low adherence to their antidepressant medication, with statistically significant differences between the low adherence and high adherence scores relating to sex, age, and duration of illness.

conclusionLow medication adherence is a common problem among major depressive disorder patients in Saudi Arabia. Medication-taking behavior among depressed patients is influenced by several factors, mainly patients' beliefs regarding antidepressants. This study has improved the understanding of the factors associated with adherence to antidepressants.

Indexed as

antidepressantsdepressionpatient compliancepatients’ beliefspredictorspsychiatry

Identifiers

PMID25378929
PMCPMC4218914

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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.