ReviewDialogues in clinical neuroscience2016
A review of behavioral tailoring strategies for improving medication adherence in serious mental illness.
Review in Dialogues in clinical neuroscience, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 2 of them syntheses that pooled 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.
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
6 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Psychotropic medication non-adherence and its determinants among people living with mental illnesses in Ethiopia: systematic review and meta-analysis study.BMC public health · 2025Pooled it
- Psychotropic medication non-adherence and its associated factors among patients with major psychiatric disorders: a systematic review and meta-analysis.Systematic reviews · 2020Pooled it
- Measuring adherence to antipsychotic medications for schizophrenia: Concordance and validity among a community sample in rural China.Schizophrenia research · 2018Trial
- Antipsychotic medication non-adherence and factors associated among patients with schizophrenia in eastern Ethiopia.BMC psychiatry · 2024Article
- Effects of Social Support on Medication Adherence Among Patients with Schizophrenia: Serial Multiple Mediation Model.Patient preference and adherence · 2024Article
- Treatment Compliance Communications Between Patients with Severe Mental Illness and Treating Healthcare Providers: A Retrospective Study of Documentation Using Healthcare Reimbursement Claims and Medical Chart Abstraction.Pragmatic and observational research · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Nonadherence to psychopharmacological treatments poses a significant challenge to treatment success in individuals with serious mental illness, with upwards of 60% of people not taking their psychiatric medications as prescribed. Nonadherence is associated with adverse outcomes, including exacerbation of psychiatric symptoms, impaired functioning, increased hospitalizations and emergency room use, and increased health care costs. Whereas interventions using psychoeducation or cognitive approaches, such as motivational interviewing, have largely proven ineffective in improving adherence, approaches employing behavioral tailoring that incorporate medication taking into the daily routine and/or use environmental supports have shown promise. Recently, adherence-enhancing behavioral tailoring interventions that utilize novel technologies, such as electronic monitors and mobile phones, have been developed. Although interventions utilizing these platforms have the potential for widespread dissemination to a broad range of individuals, most require further empirical testing. This paper reviews selected behavioral tailoring strategies that aim to improve medication adherence and other functional outcomes among individuals with serious mental illness.
Indexed as
Identifiers
27489459PMC4969706What OpenQuestion holds
Registered trials
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.