Evidence map›Paper›PMID 36993042›Full record

ReviewJournal of family medicine and primary care2022

Analysis of the prescribing pattern of antidepressants and the side effects in depression patients.

Sepideh Khatib Ara

Abstract readReview
In one paragraph

Review in Journal of family medicine and primary care, 2022. 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.

  1. Article
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  5. Review
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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

1 author.

Sepideh Khatib AraDepartment of Pharmacy, Acharya College, Rajiv Ghandi University of Health & Science, Bangalore, Karnataka, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Major depressive disorder (MDD) is a mental disorder characterized by impairment in mood regulation, loss of interest or pleasure, feelings of guilt, low self-worth, disturbed sleep and appetite, feelings of tiredness, and poor concentration. It is estimated to be the third leading cause of disability and about 350 million people suffer from depression worldwide. Treatment selection include consideration of the patient's personal history of medication response, side effects, drug preference, coexisting psychiatric disorders, accessibility, cultural, social, and situational factors. The main objectives in this study are to analyze prescription pattern of antidepressants, to assess treatment outcomes and partial remission in depression, and to evaluate the side effects in patients receiving antidepressant medications. The investigators will obtain the patient demographic data, disease information, medical issues, and other relevant patient information by interviewing them and referring patient medical records in the hospital (both inpatients and outpatients) documented in a self-designed case report form along with assessment of Hamilton Depression Rating Scale (HMDR), Patient Health Questionnaire (PHQ-9), and Morisky Green Levine Medication Adherence questionnaire (MGLMAQ). Adherence to medications was assessed using Morisky Green Levine Scale in 70 previously diagnosed subjects. Most of the subjects (32.85%) were found to have low adherence to medications, whereas 20.00% were highly adherent. There was a high rate of antidepressant discontinuation without consultation with physician. A closer communication between patients and physicians should be encouraged to enhance persistence to medications and improve outcomes. Recognition of depression as a significant risk factor for noncompliance with medical treatment carries the potential to improve medical practice, reduce patient disability, enhance patient functioning, and improve healthcare outcomes.

Indexed as

Depressionmedication adherenceprescribing patternside effects

Identifiers

PMID36993042
PMCPMC10041272

What OpenQuestion holds

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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.