Evidence map›Paper›PMID 30941607›Full record

ReviewDrugs2019

Distinct Profiles on Subjective and Objective Adherence Measures in Patients Prescribed Antidepressants.

Hans Wouters, Didi Rhebergen, Marcia Vervloet, Antoine Egberts, Katja Taxis, Liset van Dijk, Helga Gardarsdottir

Abstract readReview
In one paragraph

Review in Drugs, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
–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

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Factors associated with medication adherence trajectory among patients treated with oral anticancer drugs: a multicentre cohort study.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2025
    Observational
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  4. 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

7 authors.

Hans WoutersDepartment of Pharmacotherapy, Pharmacoepidemiology and Pharmacoeconomics (PTEE), Faculty of Science and Engineering, Groningen Research Institute of Pharmacy, University of Groningen, Groningen, The Netherlands. j.wouters@umcg.nl.
Didi RhebergenDepartment of Old Age Psychiatry, InGeest Specialized Mental Health Care, Amsterdam UMC location VU Medical Center, Amsterdam, The Netherlands.
Marcia VervloetNivel Netherlands Institute for Health Services Research, Utrecht, The Netherlands.
Antoine EgbertsDivision of Pharmacoepidemiology and Clinical Pharmacology, Faculty of Science, Utrecht Institute for Pharmaceutical Sciences, Utrecht University, Utrecht, The Netherlands.
Katja TaxisDepartment of Pharmacotherapy, Pharmacoepidemiology and Pharmacoeconomics (PTEE), Faculty of Science and Engineering, Groningen Research Institute of Pharmacy, University of Groningen, Groningen, The Netherlands.
Liset van DijkDepartment of Pharmacotherapy, Pharmacoepidemiology and Pharmacoeconomics (PTEE), Faculty of Science and Engineering, Groningen Research Institute of Pharmacy, University of Groningen, Groningen, The Netherlands.
Helga GardarsdottirDivision of Pharmacoepidemiology and Clinical Pharmacology, Faculty of Science, Utrecht Institute for Pharmaceutical Sciences, Utrecht University, Utrecht, The Netherlands.

Funding

ZonMw 91611147
6 · The paper itself

Abstract

objectiveA recurrent observation is that associations between self-reported and objective medication adherence measures are often weak to moderate. Our aim was therefore to identify patients with different profiles on self-reported and objective adherence measures. STUDY DESIGN AND

settingThis was an observational study of 221 community pharmacy patients who were dispensed antidepressants. Adherence profiles were estimated with Latent Profile Analysis (LPA) using data on self-reported adherence (Medication Adherence Rating Scale) complemented with data on medication beliefs (perceived necessity and concerns measured with the Beliefs about Medicines Questionnaire) and data from objective adherence measures (electronic monitoring of medication taking and the Medication Possession Ratio calculated from pharmacy dispensing data).

results'Goodness-of-fit' statistics indicated the presence of three classes: "concordantly high adherent" (83%, high adherence on all measures), "concordantly suboptimal adherent" (11%, low adherence on all measures), and "discordant" (6%, high self-reported adherence but lower adherence on objective measures).

conclusionMost patients had concordant outcomes on self-reported and objective measures of adherence. A small discordant class had high self-reported but low objective adherence. LPA will enable sensitivity analyses in future studies, for example excluding patients from the discordant class.

Indexed as

AdultAgedAntidepressive AgentsDrug MonitoringFemaleHumansMaleMiddle AgedPharmaciesPilot ProjectsPrescription DrugsResearch DesignSelf ReportSurveys and QuestionnairesAntidepressive AgentsPrescription Drugs

Identifiers

PMID30941607
PMCPMC6483946

What OpenQuestion holds

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Registered trials

None linked

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.