Evidence map›Paper›PMID 40427832›Full record

ArticleInternational journal of environmental research and public health2025

Assessment of Potential Factors Influencing Attention-Deficit/Hyperactivity Disorder Drug Adherence: A Database Study.

Ilse Truter, Judith Regnart, Anneke Meyer

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Ilse TruterDrug Utilization Research Unit (DURU), Department of Pharmacy, Faculty of Health Sciences, Nelson Mandela University, P.O. Box 77000, Gqeberha 6031, South Africa.ORCID 0000-0002-6527-0306
Judith RegnartDrug Utilization Research Unit (DURU), Department of Pharmacy, Faculty of Health Sciences, Nelson Mandela University, P.O. Box 77000, Gqeberha 6031, South Africa.ORCID 0000-0002-2028-9863
Anneke MeyerDrug Utilization Research Unit (DURU), Department of Pharmacy, Faculty of Health Sciences, Nelson Mandela University, P.O. Box 77000, Gqeberha 6031, South Africa.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

First-line treatment for Attention-Deficit/Hyperactivity Disorder (ADHD) is pharmacological but is associated with poor success rates in adults. The potential to discontinuously use stimulants may confound adherence assessment. Approximately 30-50% of adults with ADHD will experience depressive episodes, and associated treatment with antidepressants is generally recommended. It can therefore be expected that patients with a formal F90 diagnosis would show higher medication adherence than patients without a diagnosis and that the simultaneous use of antidepressants would increase adherence to ADHD medication. The primary aim was to explore the influence of factors of ADHD diagnosis and comorbid antidepressant use on stimulant adherence. A retrospective, longitudinal pharmacoepidemiological study was conducted on South African community pharmacy dispensing records for 2012-2016 for all patients aged between 18 and 40 years with any record of receiving a drug classified as "Central nervous system other" by the MIMS in 2015. Patients endorsed with an ADHD-linked diagnostic code (F90) were identified and contrasted with those receiving ADHD-indicated medication in the absence of a confirmatory diagnostic code. Two methods were applied to assess adherence to ADHD and/or depression treatment drugs: monthly medicine plotting and Proportion of Days Covered (PDC). Patients were classified as being more or less adherent based on monthly medicine plotting criteria. A study population of 89 patients was identified: 50 had F90 diagnostic codes and 39 were classified as "Non F90". Adherence as measured based on PDC was generally higher for antidepressant use than for methylphenidate for patients classified as being more adherent. A trend towards higher consumption of antidepressants was shown for the treatment-adherent group. Diagnostic code distinction revealed significantly higher adherence rates to methylphenidate for F90 code patients. Adherence rates to antidepressants appeared to be generally higher for non-F90 patients. Many factors may influence adherence to ADHD-indicated drugs; however, the impact of a confirmed diagnosis may be a strong determinant of motivation to be adherent to ADHD pharmacotherapy.

Indexed as

Antidepressive AgentsAttention Deficit Disorder with HyperactivityCentral Nervous System StimulantsMedication AdherenceAdolescentAdultDatabases, FactualFemaleHumansLongitudinal StudiesMaleRetrospective StudiesSouth AfricaYoung AdultAntidepressive AgentsCentral Nervous System Stimulantsadherenceantidepressantattention-deficit/hyperactivity disorder (ADHD)methylphenidatemood disorderproportion of days covered (PDC)

Identifiers

PMID40427832
PMCPMC12111139

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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.