ArticleInternational journal of MS care
Using an Intervention Mapping Approach to Improve Adherence to Disease-Modifying Treatment in Multiple Sclerosis.
Article in International journal of MS care. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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
3 citing papers in PubMed.
- Treatment Adherence in MS: Does Objective MS Knowledge and MS Risk Knowledge Matter in Relation to Perceived Disease-Modifying Therapy Benefits?Neurology and therapy · 2025Article
- Design and implementation of a risk-adapted, longitudinal, theory-driven medication adherence intervention: A protocol for a multi-phasic, hybrid effectiveness-implementation trial.Research in social & administrative pharmacy : RSAP · 2025Article
- Personalized Intervention to Improve Medication Adherence for Persons with Multiple Sclerosis.Patient preference and adherence · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundUp to 50% of individuals with multiple sclerosis (MS) who are prescribed disease-modifying treatments (DMTs) do not take them as advised. Although many studies report on DMT adherence rate, few studies report on interventions involving individuals with MS. The current paper describes the development of an intervention aimed at improving adherence to DMTs among identified nonadherent individuals with MS.
methodsAn intervention was developed using an Intervention Mapping approach, recommendations from reviews on medication adherence, and input from individuals with MS. Its content was determined by theories of health behavior (specifically, a perceptions and practicalities approach), empirical evidence collected among the specific target population (an observational "needs assessment" stage [n = 186]), and other studies.
resultsA personalized intervention was tailored to the reasons for nonadherence, uncovered during the observational needs assessment stage, to be delivered sequentially by a neurologist and a psychologist. After the intervention objectives were identified, components of the intervention were set: psychoeducation and ways of coping with adverse effects; modification of unhelpful treatment beliefs (such modifications were found predictive of adherence in the observational phase of the study); improving confidence and self-efficacy; and developing strategies for remembering to take DMTs. These components were embedded within motivational interviewing.
conclusionsIntervention Mapping was useful in developing an intervention grounded both in the theoretical approach of perceptions and practicalities and in empirical evidence from the literature and the target sample; concurrently, identifying determinants that the intervention did not address. The effectiveness of the intervention-which could potentially improve adherence among individuals with MS-needs to be examined.
Identifiers
What 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.