Trial reportBMC psychiatry2018
Predictors of medication adherence among patients with severe psychiatric disorders: findings from the baseline assessment of a randomized controlled trial (Tecla).
Trial report in BMC psychiatry, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 3 of them syntheses that pooled it.
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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.
Who cites it
36 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Non-adherence level of pharmacotherapy and its predictors among mental disorders in a resource-limited life trajectories: a systematic review and meta-analysis.BMC psychiatry · 2025Pooled it
- Health Information Technology Supporting Adherence Memory Disorder Patients: A Systematic Literature Review.Applied clinical informatics · 2024Pooled it
- Mapping modifiable determinants of medication adherence in bipolar disorder (BD) to the theoretical domains framework (TDF): a systematic review.Psychological medicine · 2021Pooled it
- Telemedical care and quality of life in patients with schizophrenia and bipolar disorder: results of a randomized controlled trial.BMC psychiatry · 2021Trial
- The effectiveness of volunteer befriending for improving the quality of life of patients with schizophrenia in Bosnia and Herzegovina - an exploratory randomised controlled trial.Epidemiology and psychiatric sciences · 2021Trial
- Associations among subjective cognitive complaints, perceived social support, and medication adherence in patients with psychotic disorders.Frontiers in psychiatry · 2026Article
- "Choosing your Own Path": Patterns of Use of Psychiatric Medication among Individuals with Serious Mental Illness.Community mental health journal · 2025Article
- Randomized clinical trial of a digital medication system to enhance adherence in patients with severe mental disorders.NPJ digital medicine · 2025Article
- Investigating the Time-Varying Nature of Medication Adherence Predictors: An Experimental Approach Using Andersen's Behavioral Model of Health Services Use.Pharmacy (Basel, Switzerland) · 2025Article
- Psychotropic medications adherence status and its determinants among older adults with severe affective and psychotic disorders: a multicenter cross-sectional study.Therapeutic advances in psychopharmacology · 2025Article
- Medication adherence, treatment satisfaction, and patient-doctor relationship in patients with mood disorders at a Saudi tertiary care hospital: a cross-sectional study.Frontiers in psychiatry · 2025Article
- The Association Between Medication Adherence, Internalized Stigma and Social Support Among Outpatients with Major Depressive Disorder in a Malaysian Hospital: A Cross-Sectional Study.Psychology research and behavior management · 2025Article
- Virtual nurse support to enhance antipsychotic adherence in schizophrenia: A South African perspective.The South African journal of psychiatry : SAJP : the journal of the Society of Psychiatrists of South Africa · 2025Article
- Technology-Based Strategy to Improve Medication Compliance Among Patients With Schizophrenia Spectrum Disorders.Cureus · 2024Article
- Article
- Challenges and strategies for improving medication adherence among adolescent psychiatric patients: A qualitative study.Global mental health (Cambridge, England) · 2024Article
- Experiences of schizophrenia patients with treatment buddy support during the COVID-19 pandemic.Health SA = SA Gesondheid · 2024Article
- Building and Validation of an Acute Event Prediction Model for Severe Mental Disorders.Neuropsychiatric disease and treatment · 2024Article
- Adherence to Background Antipsychotic and Pimavanserin in Patients with Schizophrenia: Post Hoc Analyses from the ENHANCE and ADVANCE Studies.Patient preference and adherence · 2024Article
- Management practice and discharge outcome of patients with psychiatric disorder admitted to psychiatry wards of selected specialized settings in Ethiopia.BMC psychiatry · 2023Article
Corrections and comments
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundSchizophrenia and bipolar disorder are characterized by a high disease burden. Antipsychotic medication is an essential part of the treatment. However, non-adherence is a major problem. Our aim was to examine potential determinants of non-adherence for patients with severe mental disorders.
methodsBaseline data of the study "Post stationary telemedical care of patients with severe psychiatric disorders" (Tecla) were used. Medication adherence was assessed with the Medication Adherence Report Scale German version (MARS-D). A logistic regression was calculated with age, sex, education, employment status, level of global functioning, social support and intake of typical and atypical antipsychotics as predictors.
resultsN = 127 participants were included in the analysis (n = 73 men, mean age 42 years). The mean MARS-D Score was 23.4 (SD 2.5). The most common reason for non-adherence was forgetting to take the medicine. Significant positive determinants for adherence were older age (OR 1.02, 95% CI 1.011-1.024, p < 0.0001), being employed (OR 2.46, 95% CI 1.893-3.206, p < 0.0001), higher level of global functioning (overall measure of how patients are doing) (OR 1.02, 95% CI 1.012-1.028, p < 0.0001), having social support (OR 1.02, 95% CI 1.013-1.026, p < 0.0001), and intake of typical antipsychotics (OR 2.389, 95% CI 1.796-3.178, p < 0.0001). A negative determinant was (female) sex (OR 0.73, 95% CI 0.625-0.859, p = 0.0001).
conclusionsEspecially employment, functioning and social support could be promising targets to facilitate adherence in patients with schizophrenia or bipolar disorder.
trial registrationThis study is retrospectively registered at the German Clinical Trials Register with the trial registration number DRKS00008548 at 21/05/2015.
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