Standard Care Impact on Effects of Highly Active Antiretroviral Therapy Adherence Interventions

Bruin, Marijn de; Viechtbauer, Wolfgang; Schaalma, H.P.; Kok, Gerjo; Abraham, Charles; Hospers, Harm J.

doi:10.1001/archinternmed.2009.536

Cited by 169 publications

(190 citation statements)

References 69 publications

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“…Both Ayling, Brierley, Johnson, Heller, and Eiser (2015) and Bishop, Fenge-Davies, Kirby, and Geraghty (2015) examine the role of the support provided to control groups in HBC trials. Previous studies suggested that the active content of support provided to control groups in HBC trials may vary considerably between studies, impact control group success rates and -consequently -trial effect sizes (de Bruin, Viechtbauer, Hospers, Schaalma, & Kok, 2009;de Bruin et al, 2010). Ayling and colleagues examine this issue in trials promoting self-management among young people with type 1 diabetes.…”

Section: The Articles In This Special Issuementioning

confidence: 99%

Risk of bias in randomised controlled trials of health behaviour change interventions: Evidence, practices and challenges

Bruin¹

2014

Psychology & Health

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Section: The Articles In This Special Issuementioning

confidence: 99%

Risk of bias in randomised controlled trials of health behaviour change interventions: Evidence, practices and challenges

Bruin¹

2014

Psychology & Health

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“…The intervention, which included motivational interviewing as a core element and included a combination of related and supplementary behavior change techniques [28], was compared with standard care [29] in a randomized controlled trial design. We hypothesized that the active multicomponent intervention would lead to better medication adherence compared with standard care at the follow-up measurement points 3 and 6 months following delivery of the intervention.…”

Section: Introductionmentioning

confidence: 99%

A randomized controlled multimodal behavioral intervention trial for improving antiepileptic drug adherence

Pakpour

Gholami

Esmaeili

et al. 2015

Epilepsy & Behavior

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Purpose: Medication nonadherence is one of the most important reasons for treatment failure in patients with epilepsy. The present study investigated the effectiveness of a multicomponent intervention to improve adherence to antiepileptic drug (AED) medication in patients with epilepsy. Methods: In a prospective, randomized multicenter trial, three sessions of face-to-face motivational interviewing (MI) in combination with complementary behavior change techniques were compared with standard care. Motivational interviewing prompted change talk and self-motivated statements from the patients, planning their own medication intake regimen and also identifying and overcoming barriers that may prevent adherence. Participants were provided with calendars to self-monitor their medication taking behavior. A family member and the health-care team were invited to attend the last session of MI in order to improve the collaboration and communication between patients, their caregiver or family member, and their health-care provider. At baseline and 6-month follow-up, psychosocial variables and medical adherence were assessed. Results: In total, 275 participants were included in the study. Compared with the active control group, patients in the intervention group reported significantly higher medication adherence, as well as stronger intention and perceptions of control for taking medication regularly. The intervention group also reported higher levels of action planning, coping planning, self-monitoring, and lower medication concerns. Conclusions: This study shows that MI can be effective in clinical practice to improve medication adherence in patients with epilepsy. It also provides evidence that combining volitional interventions, including action planning, coping planning, and self-monitoring with motivational interviewing can promote the effectiveness of the medical treatments for epilepsy by improving adherence.

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“…There is a recognised need to specify interventions in greater detail and with more consistent terminology and for evaluation studies to specify the components of the interventions in both the experimental and control groups [17][18][19][20][21]. In order to create a standardised vocabulary with which researchers and others can define and describe intervention components (i.e.…”

Section: Behaviour Change Techniques: the Components Of Behaviour Chamentioning

confidence: 99%

From Theory-Inspired to Theory-Based Interventions: A Protocol for Developing and Testing a Methodology for Linking Behaviour Change Techniques to Theoretical Mechanisms of Action

Michie

Carey

Johnston

et al. 2017

Annals of Behavioral Medicine

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Background Understanding links between behaviour change techniques (BCTs) and mechanisms of action (the processes through which they affect behaviour) helps inform the systematic development of behaviour change interventions. Purpose This research aims to develop and test a methodology for linking BCTs to their mechanisms of action. Methods Study 1 (published explicit links): Hypothesised links between 93 BCTs (from the 93-item BCT taxonomy, BCTTv1) and mechanisms of action will be identified from published interventions and their frequency, explicitness and precision documented. Study 2 (expert-agreed explicit links): Behaviour change experts will identify links between 61 BCTs and 26 mechanisms of action in a formal consensus study. Study 3 (integrated matrix of explicit links): Agreement between studies 1 and 2 will be evaluated and a new group of experts will discuss discrepancies. An integrated matrix of BCT-mechanism of action links, annotated to indicate strength of evidence, will be generated. Study 4 (published implicit links): To determine whether groups of co-occurring BCTs can be linked to theories, we will identify groups of BCTs that are used together from the study 1 literature. A consensus exercise will be used to rate strength of links between groups of BCT and theories. Conclusions A formal methodology for linking BCTs to their hypothesised mechanisms of action can contribute to the development and evaluation of behaviour change interventions. This research is a step towards developing a behaviour change 'ontology', specifying relations between BCTs, mechanisms of action, modes of delivery, populations, settings and types of behaviour.

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Standard Care Impact on Effects of Highly Active Antiretroviral Therapy Adherence Interventions

Abstract: Intervention and control patients were exposed to effective adherence care. Future meta-analyses of (behavior change) interventions should control for variability in care delivered to active controls. Clinical practice may be best served by implementing current best practice.

Cited by 169 publications

References 69 publications

Risk of bias in randomised controlled trials of health behaviour change interventions: Evidence, practices and challenges

Risk of bias in randomised controlled trials of health behaviour change interventions: Evidence, practices and challenges

A randomized controlled multimodal behavioral intervention trial for improving antiepileptic drug adherence

From Theory-Inspired to Theory-Based Interventions: A Protocol for Developing and Testing a Methodology for Linking Behaviour Change Techniques to Theoretical Mechanisms of Action

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